Connectionists: NIPS 2014 Call for Papers

[Chris Hiestand]

Neural Information Processing Systems Conference and Workshops
December 8-13, 2014
Montreal Convention Center, Montreal, Canada

http://nips.cc/Conferences/2014/

Deadline for Paper Submissions:
Friday, June 6, 2014, 11 pm Universal Time (4 pm Pacific Daylight Time).  
Submit at: https://cmt.research.microsoft.com/NIPS2014/

Submissions are solicited for the Twenty-Eigth Annual Conference on Neural
Information Processing Systems, an interdisciplinary conference that brings
together researchers in all aspects of neural and statistical information
processing and computation, and their applications. The conference is a
highly selective, single track meeting that includes oral and poster
presentations of refereed papers as well as invited talks. The 2014
conference will be held on December 8-11 at Montreal Convention Center,
Montreal, Canada. One day of tutorials (December 8) will precede the main
conference, and two days of workshops (December 12-13) will follow it at the
same location.


Submission process:
Electronic submissions will be accepted until Friday, June 6, 2014, 11 pm
Universal Time (4 pm Pacific Daylight Time). As was the case last year, final
papers will be due in advance of the conference. However, minor changes such
as typos and additional references will still be allowed for a certain period
after the conference.


Reviewing:
As in previous years, reviewing will be double-blind: the reviewers will not
know the identities of the authors. However, differently from previous years,
anonymous reviews and meta-reviews of accepted papers will be made public
after the end of the review process.


Evaluation Criteria:
Submissions will be refereed on the basis of technical quality, novelty,
potential impact, and clarity.


Dual Submissions Policy:
Submissions that are identical (or substantially similar) to versions that
have been previously published, or accepted for publication, or that have
been submitted in parallel to other conferences are not appropriate for NIPS
and violate our dual submission policy. Exceptions to this rule are the
following:

Submission is permitted of a short version of a paper that has been submitted
to a journal, but has not yet been published in that journal. Authors must
declare such dual-submissions either through the CMT submission form, or via
email to the program chairs at program-chairs at nips.cc. It is the authors’
responsibility to make sure that the journal in question allows dual
concurrent submissions to conferences. Submission is permitted for papers
presented or to be presented at conferences or workshops without proceedings,
or with only abstracts published.

Previously published papers with substantial overlap written by the authors
must be cited so as to preserve author anonymity (e.g. “the authors of 1
prove that …”). Differences relative to these earlier papers must be
explained in the text of the submission.

It is acceptable to submit to NIPS 2014 work that has been made available as
a technical report (or similar, e.g. in arXiv) without citing it. While this
could compromise the authors' anonymity, reviewers will be asked to refrain
from actively searching for the authors’ identity or disclose to the area
chairs if their identity is known to them.

The dual-submission rules apply during the NIPS review period which begins
June 6 and ends September 10, 2014.


Submission Instructions:
All submissions will be made electronically, in PDF format. Papers are
limited to eight pages, including figures and tables, in the NIPS style. An
additional ninth page containing only cited references is allowed. Please
refer to the complete submission and formatting instructions:
http://nips.cc/Conferences/2014/PaperInformation/AuthorSubmissionInstructions
and to the style files:
http://nips.cc/Conferences/2014/PaperInformation/StyleFiles
for further details.


Supplementary Material:
Authors can submit up to 10 MB of material, containing proofs, audio, images,
video, data or source code. Note that the reviewers and the program committee
reserve the right to judge the paper solely on the basis of the 9 pages of
the paper; looking at any extra material is up to the discretion of the
reviewers and is not required.


Technical Areas:
Papers are solicited in all areas of neural information processing and
statistical learning, including, but not limited to:

* Algorithms and Architectures: statistical learning algorithms, kernel
methods, graphical models, Gaussian processes, Bayesian methods, neural
networks, deep learning, dimensionality reduction and manifold learning,
model selection, combinatorial optimization, relational and structured
learning.

* Applications: innovative applications that use machine learning, including
systems for time series prediction, bioinformatics, systems biology, text/web
analysis, multimedia processing, and robotics.

* Brain Imaging: neuroimaging, cognitive neuroscience, EEG
(electroencephalogram), ERP (event related potentials), MEG
(magnetoencephalogram), fMRI (functional magnetic resonance imaging), brain
mapping, brain segmentation, brain computer interfaces.

* Cognitive Science and Artificial Intelligence: theoretical, computational,
or experimental studies of perception, psychophysics, human or animal
learning, memory, reasoning, problem solving, natural language processing,
and neuropsychology.

* Control and Reinforcement Learning: decision and control, exploration,
planning, navigation, Markov decision processes, game playing, multi-agent
coordination, computational models of classical and operant conditioning.

* Hardware Technologies: analog and digital VLSI, neuromorphic engineering,
computational sensors and actuators, microrobotics, bioMEMS, neural
prostheses, photonics, molecular and quantum computing.

* Learning Theory: generalization, regularization and model selection,
Bayesian learning, spaces of functions and kernels, statistical physics of
learning, online learning and competitive analysis, hardness of learning and
approximations, statistical theory, large deviations and asymptotic analysis,
information theory.

* Neuroscience: theoretical and experimental studies of processing and
transmission of information in biological neurons and networks, including
spike train generation, synaptic modulation, plasticity and adaptation.

* Speech and Signal Processing: recognition, coding, synthesis, denoising,
segmentation, source separation, auditory perception, psychoacoustics,
dynamical systems, recurrent networks, language models, dynamic and temporal
models.

* Visual Processing: biological and machine vision, image processing and
coding, segmentation, object detection and recognition, motion detection and
tracking, visual psychophysics, visual scene analysis and interpretation.


Demonstrations and Workshops:
There is a separate Demonstration track at NIPS. Authors wishing to submit to
the Demonstration track should consult the upcoming Call for Demonstrations.

The workshops will be held at the Montreal Convention Center December 12-13.
The upcoming call for workshop proposals will provide details.

Web version: http://nips.cc/Conferences/2014/CallForPapers