From chiragn at cs.cmu.edu Tue Jul 2 17:52:04 2019 From: chiragn at cs.cmu.edu (Chirag Nagpal) Date: Tue, 2 Jul 2019 17:52:04 -0400 Subject: Harvard Data Science Review Message-ID: Harvard and MIT have jointly launched a "Review Journal" called Data Science Review. Something on the lines of MIT Tech Review/Harvard Business Review but for Data Science. The link is below https://hdsr.mitpress.mit.edu/ Might be of interest to many members in lab. Chirag -- *Chirag Nagpal* Graduate Student, Language Technologies Institute School of Computer Science Carnegie Mellon University cs.cmu.edu/~chiragn -------------- next part -------------- An HTML attachment was scrubbed... URL: From predragp at andrew.cmu.edu Sat Jul 6 15:59:45 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Sat, 06 Jul 2019 15:59:45 -0400 Subject: file server problems Message-ID: <20190706195945.ffn3e5Krw%predragp@andrew.cmu.edu> Dear Autonians, I hate to interrupt your 4th of July festivities with a bad news but it appears that I have a major problem with one of our main file servers after a minor upgrade. This server is the home to about 2/3 of the Auton Lab home directories which means that many of you are no longer able to log into our computing infrastructure apart of your Auton Lab maintained desktops. Before anyone gets too upset at me for upgrading file server let me just state for the record that the upgrade was tested and went smoothly on 6 other machines. As you know upgrading software is a natural part of the machine's life cycle. At this point I am unable to cleanly boot machine which is stuck while trying to mount the root file system. I am planning to boot machine with the live media first thing on Monday morning and if that doesn't work just reinstall OS and import ZFS pools containing your home directories (they should not be affected). Most Kind Regards, Predrag Punosevac P.S. Dr. Jeff Schneider has purchased a new file server which would have been a backup machine in this case. Unfortunately we have not received it yet so I will have to troubleshoot this. From predragp at andrew.cmu.edu Sun Jul 7 11:50:51 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Sun, 7 Jul 2019 11:50:51 -0400 Subject: file server problems In-Reply-To: <20190706195945.ffn3e5Krw%predragp@andrew.cmu.edu> References: <20190706195945.ffn3e5Krw%predragp@andrew.cmu.edu> Message-ID: Dear Autonians, I am happy to report that gaia is up and running so all the users with home directories on zfsauton2 and zfsauton3 can resume their work. However, I am not happy that I had manually (in person) to boot the machine. I am frantically checking the hardware and going through log files trying to figure out what has happened. Best, Predrag On Sat, Jul 6, 2019 at 3:59 PM Predrag Punosevac wrote: > > Dear Autonians, > > I hate to interrupt your 4th of July festivities with a bad news but it > appears that I have a major problem with one of our main file servers > after a minor upgrade. This server is the home to about 2/3 of the Auton > Lab home directories which means that many of you are no longer able to > log into our computing infrastructure apart of your Auton Lab maintained > desktops. > > Before anyone gets too upset at me for upgrading file server let me just > state for the record that the upgrade was tested and went smoothly > on 6 other machines. As you know upgrading software is a natural part of > the machine's life cycle. > > At this point I am unable to cleanly boot machine which is stuck while > trying to mount the root file system. I am planning to boot machine with > the live media first thing on Monday morning and if that doesn't work > just reinstall OS and import ZFS pools containing your home directories > (they should not be affected). > > Most Kind Regards, > Predrag Punosevac > > P.S. Dr. Jeff Schneider has purchased a new file server which would have > been a backup machine in this case. Unfortunately we have not received > it yet so I will have to troubleshoot this. > From awertz at cmu.edu Mon Jul 8 11:23:09 2019 From: awertz at cmu.edu (Anthony Wertz) Date: Mon, 8 Jul 2019 11:23:09 -0400 Subject: lov3 scratch full; please consider removing unneeded files Message-ID: All, lov3 scratch is full. If you have some results you no longer need or can store elsewhere, we would greatly appreciate freeing up some space so we can continue working there. -- *Anthony Wertz* Research Programmer and Analyst Robotics Institute - Auton Lab Carnegie Mellon University awertz at cmu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From predragp at andrew.cmu.edu Mon Jul 8 12:14:36 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Mon, 8 Jul 2019 12:14:36 -0400 Subject: SSH Problems with LOP1 In-Reply-To: References: <20190708021923.d_Lq7JEmB%predragp@andrew.cmu.edu> Message-ID: This is legit! I can confirm this as well as Rob. For some reason ypldap deamon is failing to start. I just restart manually and was able to log both from bash but more importantly from my home. That machine was due for replacement. Please give me a day or two to provision a new machine. In the meantime you are stuck with bash and lop1 whenever is available (right now it is). Predrag On Mon, Jul 8, 2019 at 9:24 AM Chirag Nagpal wrote: > > I am unable to ssh to lop1, I get connection terminated by remote host. > > I tried sshing into lop1 from bash, which is also timing out. > > > From predragp at andrew.cmu.edu Tue Jul 9 16:41:21 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Tue, 9 Jul 2019 16:41:21 -0400 Subject: CUDA out of memory In-Reply-To: References: Message-ID: Send an email to users at autonlab.org and ask politely people to free up memory. Locking up memory is a "feature" of deep learning software. On Tue, Jul 9, 2019 at 3:38 PM Shuli Jiang wrote: > > Hello, Predrag, > > I found lab gpu machines have a problem today: cuda out of memory. > Could you please take a look? > Thanks a lot. > > Best, > Shuli From chiragn at cs.cmu.edu Tue Jul 9 16:49:45 2019 From: chiragn at cs.cmu.edu (Chirag Nagpal) Date: Tue, 9 Jul 2019 16:49:45 -0400 Subject: CUDA out of memory In-Reply-To: References: Message-ID: Hi Shuli Before using a particular machine, please use nvidia-smi to see if the machine you are using has a card with free Video RAM. Once you are sure of the machine and the card you want to use please use $EXPORT CUDA_VISIBLE_DEVICES=k on the machine with k being the free GPU Card. this would ensure your CUDA job is only resident in the target GPU. Best, Chirag On Tue, Jul 9, 2019 at 4:46 PM Predrag Punosevac wrote: > Send an email to users at autonlab.org and ask politely people to free up > memory. Locking up memory is a "feature" of deep learning software. > > On Tue, Jul 9, 2019 at 3:38 PM Shuli Jiang wrote: > > > > Hello, Predrag, > > > > I found lab gpu machines have a problem today: cuda out of memory. > > Could you please take a look? > > Thanks a lot. > > > > Best, > > Shuli > -- *Chirag Nagpal* Graduate Student, Language Technologies Institute School of Computer Science Carnegie Mellon University cs.cmu.edu/~chiragn -------------- next part -------------- An HTML attachment was scrubbed... URL: From shulij at alumni.cmu.edu Tue Jul 9 18:18:24 2019 From: shulij at alumni.cmu.edu (Shuli Jiang) Date: Tue, 9 Jul 2019 18:18:24 -0400 Subject: CUDA out of memory In-Reply-To: References: Message-ID: Thank you Chirag. It solves the problem now. On Tue, Jul 9, 2019 at 4:49 PM Chirag Nagpal wrote: > Hi Shuli > > Before using a particular machine, please use nvidia-smi to see if the > machine you are using has a card with free Video RAM. > > Once you are sure of the machine and the card you want to use please use > > $EXPORT CUDA_VISIBLE_DEVICES=k > > on the machine with k being the free GPU Card. > > this would ensure your CUDA job is only resident in the target GPU. > > Best, > > Chirag > > On Tue, Jul 9, 2019 at 4:46 PM Predrag Punosevac > wrote: > >> Send an email to users at autonlab.org and ask politely people to free up >> memory. Locking up memory is a "feature" of deep learning software. >> >> On Tue, Jul 9, 2019 at 3:38 PM Shuli Jiang wrote: >> > >> > Hello, Predrag, >> > >> > I found lab gpu machines have a problem today: cuda out of memory. >> > Could you please take a look? >> > Thanks a lot. >> > >> > Best, >> > Shuli >> > > > -- > > *Chirag Nagpal* Graduate Student, Language Technologies Institute > School of Computer Science > Carnegie Mellon University > cs.cmu.edu/~chiragn > -------------- next part -------------- An HTML attachment was scrubbed... URL: From ngisolfi at cs.cmu.edu Thu Jul 11 08:23:17 2019 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 11 Jul 2019 08:23:17 -0400 Subject: [Lunch] Today @12-1pm in NSH 4201 Message-ID: Hi Everyone, Lab lunch will be in NSH 4201 from 12-1pm today. Bring lunch and we?ll see you there! As always, please invite anyone who may not be on the mailing list but still working with us this summer. - Nick From awd at cs.cmu.edu Thu Jul 11 14:59:46 2019 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Thu, 11 Jul 2019 14:59:46 -0400 Subject: Fwd: FW: HCII Special Seminar Speaker: James Landay (Monday, July 22) In-Reply-To: References: Message-ID: Many of us are involved in relevant work so i thought i would broadcast this to avoid missing anyone actually interested. Cheers Artur ---------- Forwarded message --------- From: Roni Rosenfeld Date: Thu, Jul 11, 2019, 2:56 PM Subject: FW: HCII Special Seminar Speaker: James Landay (Monday, July 22) To: ML-faculty Topic may be of interest to ML folks. He's also helping to push the HCI/AI initiative at Stanford. -------- Forwarded Message -------- Subject: HCII Special Seminar Speaker: James Landay (Monday, July 22) Date: Thu, 11 Jul 2019 13:53:54 -0400 From: Carolyn Buzzelli-Stumpf To: hcii-faculty-mtgs at cs.cmu.edu Dear Faculty, HCII Special Seminar Speaker, James Landay will be here on Monday, July 22. HIs talk is scheduled at 12:00 - 1:00pm in Newell Simon Hall, Room 4305. If you would like to meet with James on Monday, 7/22, please sign up here: James Landay schedule: July 22 < https://docs.google.com/spreadsheets/d/1kG4RkLJeFGQRaDER1BTmtphDpysSKN4bI_3duBbNT9g/edit?usp=sharing > *Smart Interfaces for Human-Centered AI* Professor James A. Landay Computer Science Department Stanford University *Abstract* AI has the potential to automate people out of their jobs, and in some cases, it will. But while we should carefully consider the risk of replacing human capabilities, it?s important to realize that AI has enormous potential to /augment/ them as well: it can boost the creativity of our work, help us learn better, deliver healthcare more effectively, and make our societies more sustainable. Like any tool, however, our relationship with AI has as much to do with its interface as it does with the underlying capabilities it provides. Does it amplify our actions and remain attentive to our goals?even as we revise them?or is it a black box that accomplishes tasks autonomously? If we want to build a future of open possibility and empowerment, it?s vital that our ability to harness AI evolves alongside AI itself. I will illustrate how we are addressing grand challenges in fields like health and education by building systems that balance innovative user interfaces with intell! igent systems. *Bio* James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering at Stanford University. He specializes in human-computer interaction. He is the founder and co-director of the World Lab, a joint research and educational effort with Tsinghua University in Beijing. He is also the Associate Director of the Stanford Institute for Human-centered Artificial Intelligence (HAI). Previously, Landay was a Professor of Information Science at Cornell Tech in New York City and prior to that he was a Professor of Computer Science & Engineering at the University of Washington. From 2003 through 2006 he was the Laboratory Director of Intel Labs Seattle, a university affiliated research lab that explored the new usage models, applications, and technology for ubiquitous computing. He was also the chief scientist and co-founder of NetRaker, which was acquired by KeyNote Systems in 2004. From 1997 through 2003 he was a professo! r in EECS at UC Berkeley. Landay received his BS in EECS from UC Berkeley in 1990, and MS and PhD in Computer Science from Carnegie Mellon University in 1993 and 1996, respectively. His PhD dissertation was the first to demonstrate the use of sketching in user interface design tools. He was named to the ACM SIGCHI Academy in 2011 and as an ACM Fellow in 2017. He formerly served on the NSF CISE Advisory Committee. Thank you, Carolyn *Carolyn Buzzelli-Stumpf* | Assistant to the Director | Human-Computer Interaction Institute** *The School of Computer Science*| *Carnegie Mellon University * 3521Newell-Simon Hall | Pittsburgh, PA 15213 | 412-268-1001 -------------- next part -------------- An HTML attachment was scrubbed... URL: From predragp at andrew.cmu.edu Wed Jul 17 18:16:54 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Wed, 17 Jul 2019 18:16:54 -0400 Subject: Main File server RAM upgrade Message-ID: Dear Autonians, I just beefed-up RAM (paid by Dr. Dubrawski) on the main file server from 64 GB to 128 GB. If your home directories are located on zfsauton2 or zfsauton3 you have notice a 10 minute blip while machine was powered off. I apologize for the inconvenience but many people are away from Pittsburgh and this is a good time to do this kind disruptive maintenance. Cheers, Predrag From ngisolfi at cs.cmu.edu Thu Jul 18 08:27:30 2019 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 18 Jul 2019 08:27:30 -0400 Subject: [Lunch] Today @12-1pm in NSH 4201 Message-ID: <32266B7E-06E4-4A20-ACD0-4A9C8A9B4F55@cs.cmu.edu> Hi Everyone, Lab lunch will be in NSH 4201 today from 12-1pm. Bring your lunch and we?ll see you there! - Nick From predragp at andrew.cmu.edu Wed Jul 24 13:09:56 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Wed, 24 Jul 2019 13:09:56 -0400 Subject: No GPU drivers detected on any gpu machine? In-Reply-To: References: Message-ID: Thank you so much for bringing this to my attention. GPU10 is not broken but sure enough you are right about the other machines. It appears that one of recent updates have broken the driver. I will reinstall drivers shortly and reboot the machines. This is also notice for everyone else that GPU1-9 will have to be rebooted. Predrag On Wed, Jul 24, 2019 at 10:52 AM Chufan Gao wrote: > > Hi Predrag, > > > I discovered today that when I run nvidia-smi, I get this error: > > > NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. > > The same happens for all of the gpu machines that I tried. I am confused - was there an update that broke it? > > Sincerely, > Andy Gao From predragp at andrew.cmu.edu Wed Jul 24 16:15:22 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Wed, 24 Jul 2019 16:15:22 -0400 Subject: No GPU drivers detected on any gpu machine? In-Reply-To: References: Message-ID: A quick update on this issue and a resolution. I took a clue from the fact that GPU10 was working as expected and narrowed down the issue to CUDA 9.1 installation. It appears that upstream has broken CUDA 9.1 purposely via dkms utility which is used to recompile kernel modules to fit specific kernel release. They probably want people to move to CUDA 10.1. Long story short. I upgraded NVidia driver and CUDA to 10.1 on GPU2 and GPU3 servers. They appear to be working flawlessly on my end as tested with nvidia-smi utility as well as MATLAB. I have recreated GPU3 scratch directory which was 100% used for almost half a year. I have also reinstalled libcudnn library on both machines but I am unable to test it. This is all good but it also means that people will have to regenerate their tools from the scratch to match the kernel, driver, and CUDA versions. If you have things on GPU10 you probably could just migrate them. This is very time consuming but we have no choice. The major bad news is that one of the GPU servers I tried to work on GPU1 (commissioned almost five years ago) didn't survive reboot. It also uses older Tesla K80 cards. I will have to attach the screen and troubleshoot this machine. That will not happen today or for that matter this week. My plan is now to move and fix machines GPU[4-9] which would take the rest of the day.Note that GPU7 is designated for a special project and not generally accessible. Most Kind Regards, Predrag Punosevac On Wed, Jul 24, 2019 at 1:09 PM Predrag Punosevac wrote: > > Thank you so much for bringing this to my attention. GPU10 is not > broken but sure enough you are right about the other machines. It > appears that one of recent updates have broken the driver. I will > reinstall drivers shortly and reboot the machines. This is also notice > for everyone else that GPU1-9 will have to be rebooted. > > Predrag > > On Wed, Jul 24, 2019 at 10:52 AM Chufan Gao wrote: > > > > Hi Predrag, > > > > > > I discovered today that when I run nvidia-smi, I get this error: > > > > > > NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. > > > > The same happens for all of the gpu machines that I tried. I am confused - was there an update that broke it? > > > > Sincerely, > > Andy Gao From predragp at andrew.cmu.edu Wed Jul 24 22:13:28 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Wed, 24 Jul 2019 22:13:28 -0400 Subject: No GPU drivers detected on any gpu machine? In-Reply-To: References: Message-ID: <20190725021328.b1FI1L2xq%predragp@andrew.cmu.edu> Predrag Punosevac wrote: I apologize for top posting. Just a quick update. As of 5 minutes ago machines gpu[2-10] appear to have no issues. After all the upgrades and reboots it appears that we don't have any dead GPU cards on them and that drivers and CUDA 10.1 work as expected. I understand that this is a little comfort to people who need to regenerate tensorflow, py-torch, and all that "deep-learning" stuff but I have no control over the upstream decisions. GPU1 appears to be broken at the moment. Without attaching consol to the machine it is difficult for me to asses the complexity of the problem. One more time sorry for the down time. Cheers, Predrag > A quick update on this issue and a resolution. I took a clue from the > fact that GPU10 was working as expected and narrowed down the issue to > CUDA 9.1 installation. It appears that upstream has broken CUDA 9.1 > purposely via dkms utility which is used to recompile kernel modules > to fit specific kernel release. They probably want people to move to > CUDA 10.1. > > Long story short. I upgraded NVidia driver and CUDA to 10.1 on GPU2 > and GPU3 servers. They appear to be working flawlessly on my end as > tested with nvidia-smi utility as well as MATLAB. I have recreated > GPU3 scratch directory which was 100% used for almost half a year. I > have also reinstalled libcudnn library on both machines but I am > unable to test it. > > This is all good but it also means that people will have to regenerate > their tools from the scratch to match the kernel, driver, and CUDA > versions. If you have things on GPU10 you probably could just migrate > them. This is very time consuming but we have no choice. > > The major bad news is that one of the GPU servers I tried to work on > GPU1 (commissioned almost five years ago) didn't survive reboot. It > also uses older Tesla K80 cards. I will have to attach the screen and > troubleshoot this machine. That will not happen today or for that > matter this week. > > My plan is now to move and fix machines GPU[4-9] which would take the > rest of the day.Note that GPU7 is designated for a special project and > not generally accessible. > > Most Kind Regards, > Predrag Punosevac > > > > > On Wed, Jul 24, 2019 at 1:09 PM Predrag Punosevac > wrote: > > > > Thank you so much for bringing this to my attention. GPU10 is not > > broken but sure enough you are right about the other machines. It > > appears that one of recent updates have broken the driver. I will > > reinstall drivers shortly and reboot the machines. This is also notice > > for everyone else that GPU1-9 will have to be rebooted. > > > > Predrag > > > > On Wed, Jul 24, 2019 at 10:52 AM Chufan Gao wrote: > > > > > > Hi Predrag, > > > > > > > > > I discovered today that when I run nvidia-smi, I get this error: > > > > > > > > > NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. > > > > > > The same happens for all of the gpu machines that I tried. I am confused - was there an update that broke it? > > > > > > Sincerely, > > > Andy Gao From ngisolfi at cs.cmu.edu Thu Jul 25 08:28:00 2019 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 25 Jul 2019 08:28:00 -0400 Subject: [Lunch] Today @ 12-1pm in NSH 4201 Message-ID: <7992B40E-93FC-4267-8B75-FE83D311CDF3@cs.cmu.edu> Hi Everyone, Lab lunch will be in NSH 4201 from 12-1pm today. Bring your meal and we?ll see you there! - Nick From predragp at andrew.cmu.edu Thu Jul 25 10:26:57 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Thu, 25 Jul 2019 10:26:57 -0400 Subject: updates Message-ID: <20190725142657.GhqxxD9Iv%predragp@andrew.cmu.edu> Dear Autonians, Just a quick update. This morning I patched all our network machines (Auton Sytems and NREC included) for TCP SACK holes per https://www.openbsd.org/errata65.html I also upgrade all file servers (again Auton Systems and NREC included) and FreeBSD jails to 11.3-RELEASE-p1 Everything seems to be working as expected. This might have been observed by some of you as a short interruption in the traffic. Sorry for that. Machine with a very long uptimes are by definition unmaintained. Predrag From ngisolfi at cs.cmu.edu Thu Jul 25 11:36:09 2019 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 25 Jul 2019 11:36:09 -0400 Subject: UPDATE [Lunch] Today @ 12-1pm OUTSIDE In-Reply-To: <7992B40E-93FC-4267-8B75-FE83D311CDF3@cs.cmu.edu> References: <7992B40E-93FC-4267-8B75-FE83D311CDF3@cs.cmu.edu> Message-ID: <37500295-3A18-428C-9843-E1303BBAB193@cs.cmu.edu> On second thought, it sounds like some of us like the idea of having lab lunch outside. Let?s try to meet on the 6th floor Gates balcony. Hopefully we can push together enough tables and the overhang provides enough shade. - Nick > On Jul 25, 2019, at 8:28 AM, Nick Gisolfi wrote: > > Hi Everyone, > > Lab lunch will be in NSH 4201 from 12-1pm today. > > Bring your meal and we?ll see you there! > > - Nick From predragp at andrew.cmu.edu Fri Jul 26 14:46:31 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Fri, 26 Jul 2019 14:46:31 -0400 Subject: Performance issue with zfsauton? In-Reply-To: References: Message-ID: Not to zfsauton. I added more memory to gaia i.e zfsauton2 and zfsauton3. You are the second person reporting this so I will have to fire up DTrace to see what is happening. Predrag On Fri, Jul 26, 2019 at 2:33 PM Robert MacLachlan wrote: > > I notice you added more memory to the server, but I am still see lots of jobs that used to be CPU bound bogging down, and in at least some cases I have seen them to be blocked trying to read from /zfsauton/data. This seems to be a new thing. Is someone pushing a super-lot of data into/out of zfs? Well, my bad for doing so myself, but... > > Rob > From mdeartea at andrew.cmu.edu Sat Jul 27 11:23:42 2019 From: mdeartea at andrew.cmu.edu (Maria De Arteaga Gonzalez) Date: Sat, 27 Jul 2019 11:23:42 -0400 Subject: Call for papers: 3rd NeurIPS workshop on ML for the Developing World (ML4D) Message-ID: Hi all, We are very excited to announce the 3rd NeurIPS workshop on Machine Learning for the Developing World (ML4D), please see the CFP below. We'd also appreciate your help spreading the word. Thanks! Maria Call for papers: NeurIPS workshop on ML for the Developing World (ML4D) ********************************************************************************* Workshop on Machine Learning for the Developing World, NeurIPS 2019 Date: December 13th or 14th (TBD), 2019 Location: Vancouver, Canada Website: https://sites.google.com/view/ml4d/home ********************************************************************************* Call for papers: For the third year in a row, NeurIPS is host to a one-day workshop focussed on machine learning for the developing world (ML4D). This year?s program will focus on the challenges and risks that arise when deploying machine learning in developing regions. We invite researchers to submit their recent work on ML4D, and particularly encourage submissions that characterize challenges or risks of ML4D, propose methodology tackling existing limitations, present empirical studies that reveal unintended harms of machine learning technology in developing regions, or discuss the current state of the art and propose paths forward. Please submit 2-4 page extended abstracts following the NeurIPS style guidelines. The link to the submission platform will be provided in the workshop website. Accepted papers will be presented as posters or contributed talks, and may opt-in to be published in an arXiv proceedings. Key dates: Submission deadline: September 13, 2019 Travel/registration award deadline: September 13, 2019 Acceptance notification: September 25, 2019 Workshop: December 13/14 (TBD), 2019 Workshop overview: As the use of machine learning becomes ubiquitous, there is growing interest in understanding how machine learning can be used to tackle global development challenges. The possibilities are vast, and it is important that we explore the potential benefits of such technologies, which has driven the agenda of the ML4D workshop series in the past. However, there is a risk that technology optimism and a categorization of ML4D research as inherently ?social good? may result in initiatives failing to account for unintended harms or deviating scarce funds towards initiatives that appear exciting but have no demonstrated effect. Moreover, machine learning technologies deployed in developing regions have often been created for different contexts and are trained with data that is not representative of the new deployment setting. Most concerning of all, multinational companies sometimes make the deliberate choice to deploy new technologies in countries with little regulation in order to experiment. This year?s program will focus on the challenges and risks that arise when deploying machine learning in developing regions. This one-day workshop will bring together a diverse set of participants from across the globe to discuss essential elements for ensuring ML4D research moves forward in a responsible and ethical manner. Attendees will learn about potential unintended harms that may result from ML4D solutions, technical challenges that currently prevent the effective use of machine learning in vast regions of the world, and lessons that may be learned from other fields. The workshop will include invited talks, a poster session of accepted papers, breakout sessions tailored to the workshop's theme and panel discussions. We welcome paper submissions featuring novel machine learning research that characterizes or tackles challenges of ML4D, empirical papers that reveal unintended harms of machine learning technology in developing regions, and discussion papers that examine the current state of the art of ML4D and propose paths forward. Maria De-Arteaga PhD Student in Machine Learning and Public Policy Carnegie Mellon University -------------- next part -------------- An HTML attachment was scrubbed... URL: From predragp at andrew.cmu.edu Sat Jul 27 13:48:36 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Sat, 27 Jul 2019 13:48:36 -0400 Subject: Weird networking problem on home net access to CMU In-Reply-To: References: Message-ID: <20190727174836.VkKkDCF_F%predragp@andrew.cmu.edu> Robert MacLachlan wrote: > I have verizon FIOS and having this weird problem where I can access > anything in the entire world except the CMU and auton nets. Is there > any technical way to diagnose where the problem is, i.e. am I some how > blocked off of the CMU net by CMU, or is there some choke point in the > Verizon net, or what? > > Does CMU have an IP address blocklist? > > I am connecting by tethering to my phone (T-moble) which has no > problem, but this is of course slow. The problem started this week, > was there on monday, then stopped for a while and came back maybe > thursday. At first I thought that the CMU net was actually down. > > Rob Hi Rob, I have seen and experienced this first hand myself few years ago with Armstrong cable as my ISP. I went to a great deal of network troubleshooting (lot of traceroute, dig, tcpdump, taking to CMU network guys including off site) without getting conclusive evidence pointing to any particular reason. For starters you can try to traceroute www.cmu.edu from your machine as well as from one of content global delivery networks. https://tools.keycdn.com/traceroute You will need to use dig and whois to convert all those IP addresses to domain names and legal entities. I can see that at this very moment CMU network is not reachable from Miami and San Francisco servers. Unfortunately the breaking points are hidden. You might be surprise to find out that CMU uses mixture of ISP (Cogent, XO, and KINBER). These are not normal IPS. More surprisingly is that a working traceroute will often show you that signal between your home and CMU goes through Virginia (NSA). Yap that is right. CMU also uses Managed DNS authoritative servers which they outsourced few years ago to a company (I forgot the name but it is one of those companies managing DNS for Pentagon and alike). At some point I remember finding one of their DNS servers located in New York misconfigured (of course they denied that). Anyhow in my experience your problem will eventually magically disappear and they have nothing to do with FIOS. Oh and yes CMU does have a black list of IP addresses that they are blocking. They actually block entire blocks of IP addresses. In your case the reason for loss of connection could have been simply the fact that you got a new IP address (dhcp lease) on Monday from your ISP. That IP address could have been from a block of IP addressed which is currently being blocked by CMU guys for whatever reason (used recently for example for DoS attack by an adversarial foreign nation state). The blocking is typically temporary as those addresses are assigned to U.S. consumers but might have been temporary high-jacked for an attack. No Russians or Serbs for that matter don't use their IP addresses for attach on US just like US agencies do not US addresses to attack Iran for example. The first step is always taking control of large number of personal computers from all over the world from incompetent Internet Service Providers and their even more incompetent users and then staging massive dynamical attack where machines who are attacking you appear from nowhere and everywhere. Sorry I could not be of more help but I hope you had fun reading this. Predrag From jim at xuth.net Sat Jul 27 14:47:02 2019 From: jim at xuth.net (Jim Leonard) Date: Sat, 27 Jul 2019 19:47:02 +0100 Subject: Weird networking problem on home net access to CMU In-Reply-To: <20190727174836.VkKkDCF_F%predragp@andrew.cmu.edu> References: <20190727174836.VkKkDCF_F%predragp@andrew.cmu.edu> Message-ID: <20190727184702.GA5464@xuth.net> I've had problems where VPNs leave my routing and dns in a bad state that won't let me access anything in clusters of addresses without going through the (now non-existent) vpn tunnel. On Sat, Jul 27, 2019 at 01:48:36PM -0400, Predrag Punosevac wrote: > Robert MacLachlan wrote: > > > I have verizon FIOS and having this weird problem where I can access > > anything in the entire world except the CMU and auton nets. Is there > > any technical way to diagnose where the problem is, i.e. am I some how > > blocked off of the CMU net by CMU, or is there some choke point in the > > Verizon net, or what? > > > > Does CMU have an IP address blocklist? > > > > I am connecting by tethering to my phone (T-moble) which has no > > problem, but this is of course slow. The problem started this week, > > was there on monday, then stopped for a while and came back maybe > > thursday. At first I thought that the CMU net was actually down. > > > > Rob > > Hi Rob, > > I have seen and experienced this first hand myself few years ago with > Armstrong cable as my ISP. I went to a great deal of network > troubleshooting (lot of traceroute, dig, tcpdump, taking to CMU network > guys including off site) without getting conclusive evidence pointing to > any particular reason. > > For starters you can try to traceroute www.cmu.edu from your machine as > well as from one of content global delivery networks. > > https://tools.keycdn.com/traceroute > > You will need to use dig and whois to convert all those IP addresses to > domain names and legal entities. I can see that at this very moment CMU > network is not reachable from Miami and San Francisco servers. > Unfortunately the breaking points are hidden. You might be surprise to > find out that CMU uses mixture of ISP (Cogent, XO, and KINBER). These > are not normal IPS. More surprisingly is that a working traceroute will > often show you that signal between your home and CMU goes through > Virginia (NSA). Yap that is right. CMU also uses Managed DNS > authoritative servers which they outsourced few years ago to a company > (I forgot the name but it is one of those companies managing DNS for > Pentagon and alike). At some point I remember finding one of their DNS > servers located in New York misconfigured (of course they denied that). > > Anyhow in my experience your problem will eventually magically disappear > and they have nothing to do with FIOS. > > Oh and yes CMU does have a black list of IP addresses that they are > blocking. They actually block entire blocks of IP addresses. In your > case the reason for loss of connection could have been simply the fact > that you got a new IP address (dhcp lease) on Monday from your ISP. That > IP address could have been from a block of IP addressed which is > currently being blocked by CMU guys for whatever reason (used recently > for example for DoS attack by an adversarial foreign nation state). The > blocking is typically temporary as those addresses are assigned to U.S. > consumers but might have been temporary high-jacked for an attack. No > Russians or Serbs for that matter don't use their IP addresses for > attach on US just like US agencies do not US addresses to attack Iran > for example. The first step is always taking control of large number of > personal computers from all over the world from incompetent Internet > Service Providers and their even more incompetent users and then staging > massive dynamical attack where machines who are attacking you appear > from nowhere and everywhere. > > Sorry I could not be of more help but I hope you had fun reading this. > > Predrag From predragp at andrew.cmu.edu Sat Jul 27 15:48:27 2019 From: predragp at andrew.cmu.edu (Predrag Punosevac) Date: Sat, 27 Jul 2019 15:48:27 -0400 Subject: Weird networking problem on home net access to CMU In-Reply-To: <20190727184702.GA5464@xuth.net> References: <20190727174836.VkKkDCF_F%predragp@andrew.cmu.edu> <20190727184702.GA5464@xuth.net> Message-ID: <20190727194827.qlKoO7DIx%predragp@andrew.cmu.edu> Jim Leonard wrote: > I've had problems where VPNs leave my routing and dns in a bad state > that won't let me access anything in clusters of addresses without > going through the (now non-existent) vpn tunnel. You are going to see a lot of that stuff once you start playing with that mil.gov Kerberos authentication. Right Kyle :-) Predrag > On Sat, Jul 27, 2019 at 01:48:36PM -0400, Predrag Punosevac wrote: > > Robert MacLachlan wrote: > > > > > I have verizon FIOS and having this weird problem where I can access > > > anything in the entire world except the CMU and auton nets. Is there > > > any technical way to diagnose where the problem is, i.e. am I some how > > > blocked off of the CMU net by CMU, or is there some choke point in the > > > Verizon net, or what? > > > > > > Does CMU have an IP address blocklist? > > > > > > I am connecting by tethering to my phone (T-moble) which has no > > > problem, but this is of course slow. The problem started this week, > > > was there on monday, then stopped for a while and came back maybe > > > thursday. At first I thought that the CMU net was actually down. > > > > > > Rob > > > > Hi Rob, > > > > I have seen and experienced this first hand myself few years ago with > > Armstrong cable as my ISP. I went to a great deal of network > > troubleshooting (lot of traceroute, dig, tcpdump, taking to CMU network > > guys including off site) without getting conclusive evidence pointing to > > any particular reason. > > > > For starters you can try to traceroute www.cmu.edu from your machine as > > well as from one of content global delivery networks. > > > > https://tools.keycdn.com/traceroute > > > > You will need to use dig and whois to convert all those IP addresses to > > domain names and legal entities. I can see that at this very moment CMU > > network is not reachable from Miami and San Francisco servers. > > Unfortunately the breaking points are hidden. You might be surprise to > > find out that CMU uses mixture of ISP (Cogent, XO, and KINBER). These > > are not normal IPS. More surprisingly is that a working traceroute will > > often show you that signal between your home and CMU goes through > > Virginia (NSA). Yap that is right. CMU also uses Managed DNS > > authoritative servers which they outsourced few years ago to a company > > (I forgot the name but it is one of those companies managing DNS for > > Pentagon and alike). At some point I remember finding one of their DNS > > servers located in New York misconfigured (of course they denied that). > > > > Anyhow in my experience your problem will eventually magically disappear > > and they have nothing to do with FIOS. > > > > Oh and yes CMU does have a black list of IP addresses that they are > > blocking. They actually block entire blocks of IP addresses. In your > > case the reason for loss of connection could have been simply the fact > > that you got a new IP address (dhcp lease) on Monday from your ISP. That > > IP address could have been from a block of IP addressed which is > > currently being blocked by CMU guys for whatever reason (used recently > > for example for DoS attack by an adversarial foreign nation state). The > > blocking is typically temporary as those addresses are assigned to U.S. > > consumers but might have been temporary high-jacked for an attack. No > > Russians or Serbs for that matter don't use their IP addresses for > > attach on US just like US agencies do not US addresses to attack Iran > > for example. The first step is always taking control of large number of > > personal computers from all over the world from incompetent Internet > > Service Providers and their even more incompetent users and then staging > > massive dynamical attack where machines who are attacking you appear > > from nowhere and everywhere. > > > > Sorry I could not be of more help but I hope you had fun reading this. > > > > Predrag From awd at cs.cmu.edu Mon Jul 29 05:02:18 2019 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Mon, 29 Jul 2019 05:02:18 -0400 Subject: Fwd: Thesis Defense - July 30th - Eric Lei - Multi-view Relationships for Analytics and Inference In-Reply-To: References: Message-ID: Dear Autonians, Join and see Eric become a Doctor! Cheers, Artur ---------- Forwarded message --------- From: Diane Stidle Date: Mon, Jul 22, 2019 at 1:35 PM Subject: Thesis Defense - July 30th - Eric Lei - Multi-view Relationships for Analytics and Inference To: ml-seminar at cs.cmu.edu , Mario Berges < marioberges at cmu.edu>, *Thesis Defense* Date: July 30, 2019 Time: 3:00pm Place: GHC 8102 PhD Candidate: Eric Lei *Title: **Multi-view Relationships for Analytics and Inference* Abstract: An interesting area of machine learning is methods for multi-view data, relational data whose features have been partitioned. Multi-view learning exploits relationships between views, giving it certain advantages over traditional single-view techniques, which may struggle to find these relationships or only learn them implicitly. These relationships are often especially salient in understanding the data or performing prediction. This work explores an underutilized approach in multi-view learning: to focus on multi-view relationships---the variables that govern relations between views---themselves as units of analysis. We investigate how this approach impacts analytics and inference in ways that standard multi-view and single-view learning cannot. We hypothesize that by ignoring relations between views or factoring them in only indirectly, standard approaches risk overlooking key structure. Accordingly, our goal is to investigate the extent multi-view relationships can be characterized and employed as units of analysis in descriptive analytics and inference. We present novel methods to do so, either using domain knowledge or by learning from data, which reveal structure that alternative methods do not or have competitive performance with the state of the art. Empirical results are presented in several application domains. First, we use domain knowledge to assume a known form for multi-view relationships in the task of gamma source detection. We aggregate the views by filtering their inferences collectively to perform classification. Second, we assume multi-view relationships are linear and learn them from data in a different approach toward gamma source detection. Our method detects anomalies when these relationships are disrupted. Third, we relax the assumption of linearity and propose a novel clustering method that finds cluster-wise linear relationships. This method discovers explanatory structure in a medical problem. Fourth, we extend this method to classification and demonstrate its superior performance on a load monitoring problem. *Thesis Committee: * Artur Dubrawski (Chair) Barnabas Poczos Mario Berges Simon Labov (Lawrence Livermore National Laboratory) -- Diane Stidle Graduate Programs Manager Machine Learning Department Carnegie Mellon Universitystidle at cmu.edu 412-268-1299 -------------- next part -------------- An HTML attachment was scrubbed... URL: From boecking at andrew.cmu.edu Mon Jul 29 16:04:30 2019 From: boecking at andrew.cmu.edu (Benedikt Boecking) Date: Mon, 29 Jul 2019 16:04:30 -0400 Subject: MSCOCO Message-ID: Hi all, Does anyone at the Auton Lab have MSCOCO on one of the (gpu) compute nodes? If so, would you be willing to give me read access? I want to avoid unnecessarily bloating the servers with duplicates. Best, Ben From awd at cs.cmu.edu Tue Jul 30 09:29:31 2019 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Tue, 30 Jul 2019 09:29:31 -0400 Subject: Fwd: Reminder - Thesis Defense - July 30th - Eric Lei - Multi-view Relationships for Analytics and Inference In-Reply-To: <9aedc3a0-d450-3bd2-e35a-a1769cef5697@cmu.edu> References: <9aedc3a0-d450-3bd2-e35a-a1769cef5697@cmu.edu> Message-ID: Just a reminder, see you there! Artur ---------- Forwarded message --------- From: Diane Stidle Date: Tue, Jul 30, 2019, 9:28 AM Subject: Reminder - Thesis Defense - July 30th - Eric Lei - Multi-view Relationships for Analytics and Inference To: ml-seminar at cs.cmu.edu , Mario Berges < marioberges at cmu.edu>, *Thesis Defense* Date: July 30, 2019 Time: 3:00pm Place: GHC 8102 PhD Candidate: Eric Lei *Title: **Multi-view Relationships for Analytics and Inference* Abstract: An interesting area of machine learning is methods for multi-view data, relational data whose features have been partitioned. Multi-view learning exploits relationships between views, giving it certain advantages over traditional single-view techniques, which may struggle to find these relationships or only learn them implicitly. These relationships are often especially salient in understanding the data or performing prediction. This work explores an underutilized approach in multi-view learning: to focus on multi-view relationships---the variables that govern relations between views---themselves as units of analysis. We investigate how this approach impacts analytics and inference in ways that standard multi-view and single-view learning cannot. We hypothesize that by ignoring relations between views or factoring them in only indirectly, standard approaches risk overlooking key structure. Accordingly, our goal is to investigate the extent multi-view relationships can be characterized and employed as units of analysis in descriptive analytics and inference. We present novel methods to do so, either using domain knowledge or by learning from data, which reveal structure that alternative methods do not or have competitive performance with the state of the art. Empirical results are presented in several application domains. First, we use domain knowledge to assume a known form for multi-view relationships in the task of gamma source detection. We aggregate the views by filtering their inferences collectively to perform classification. Second, we assume multi-view relationships are linear and learn them from data in a different approach toward gamma source detection. Our method detects anomalies when these relationships are disrupted. Third, we relax the assumption of linearity and propose a novel clustering method that finds cluster-wise linear relationships. This method discovers explanatory structure in a medical problem. Fourth, we extend this method to classification and demonstrate its superior performance on a load monitoring problem. *Thesis Committee: * Artur Dubrawski (Chair) Barnabas Poczos Mario Berges Simon Labov (Lawrence Livermore National Laboratory) -- Diane Stidle Graduate Programs Manager Machine Learning Department Carnegie Mellon Universitystidle at cmu.edu 412-268-1299 -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.c.howarth at gmail.com Tue Jul 30 15:09:02 2019 From: d.c.howarth at gmail.com (Dan Howarth) Date: Tue, 30 Jul 2019 15:09:02 -0400 Subject: lov5 scratch 99% full Message-ID: Hello all, lov5 scratch is 99% full, please take a moment to see if you can remove anything Thanks! Dan -------------- next part -------------- An HTML attachment was scrubbed... URL: