CALL FOR PAPERS -- NIPS*2001 ========================================== Neural Information Processing Systems Natural and Synthetic Monday, Dec. 3 -- Saturday, Dec. 8, 2001 Vancouver, British Columbia, Canada ========================================== This is the fifteenth meeting of an interdisciplinary conference which brings together cognitive scientists, computer scientists, engineers, neuroscientists, physicists, statisticians, and mathematicians interested in all aspects of neural processing and computation. The conference will include invited talks as well as oral and poster presentations of refereed papers. The conference is single track and is highly selective. Preceding the main session, there will be one day of tutorial presentations (Dec. 3), and following it there will be two days of focused workshops on topical issues at a nearby ski area (Dec. 7-8). Invited speakers this year will be Barbara Finlay (Departments of Psychology, and Neurobiology and Behavior, Cornell University), Alison Gopnik (Department of Psychology, University of California at Berkeley), Jon M. Kleinberg (Department of Computer Science, Cornell University), Shihab Shamma (Department of Electrical Engineering University of Maryland), Judea Pearl (Department of Computer Science, UCLA), and Tom Knight (Artificial Intelligence Laboratory, MIT). Major categories for paper submission, with example subcategories (by no means exhaustive), are listed below. Algorithms and Architectures: supervised and unsupervised learning algorithms, feedforward and recurrent network architectures, kernel methods, committee models, graphical models, support vector machines, Gaussian processes, decision trees, factor analysis, independent component analysis, model selection algorithms, combinatorial optimization, hybrid symbolic-subsymbolic systems. Applications: innovative applications of neural computation including data mining, web and network applications, intrusion and fraud detection, bio-informatics, medical diagnosis, handwriting recognition, industrial monitoring and control, financial analysis, time-series prediction, consumer products, music and video applications, animation, virtual environments. Cognitive Science/Artificial Intelligence: perception and psychophysics, neuropsychology, cognitive neuroscience, development, human learning and memory, conditioning, categorization, attention, language, reasoning, spatial cognition, emotional cognition, neurophilosophy, problem solving and planning. Implementations: analog and digital VLSI, neuromorphic engineering, microelectromechanical systems, optical systems, vision chips, head-eye systems, cochlear implants, roving robots, computational sensors and actuators, molecular and quantum computing, novel neurodevices, simulation tools. Neuroscience: neural encoding, spiking neurons, synchronicity, sensory processing, systems neurophysiology, neuronal development, synaptic plasticity, neuromodulation, dendritic computation, channel dynamics, population codes, temporal codes, spike train analysis, and experimental data relevant to computational issues. Reinforcement Learning and Control: exploration, planning, navigation, computational models of classical and operant conditioning, Q-learning, TD-learning, state estimation, dynamic programming, robotic motor control, process control, game-playing, Markov decision processes, multi-agent cooperative algorithms. Speech and Signal Processing: speech recognition, speech coding, speech synthesis, speech signal enhancement, auditory scene analysis, source separation, applications of hidden Markov models to signal processing, models of human speech perception, auditory modeling and psychoacoustics. Theory: computational learning theory, statistical physics of learning, information theory, Bayesian methods, prediction and generalization, regularization, online learning (stochastic approximation), dynamics of learning, approximation and estimation theory, complexity theory. Visual Processing: image processing, image coding, object recognition, face recognition, visual feature detection, visual psychophysics, stereopsis, optic flow algorithms, motion detection and tracking, spatial representations, spatial attention, scene analysis, visual search, visuo-spatial working memory. - ---------------------------------------------------------------------- Review Criteria: All submitted papers will be thoroughly refereed on the basis of technical quality, significance, and clarity. Novelty of the work is also a strong consideration in paper selection, but to encourage interdisciplinary contributions, we will consider work which has been submitted or presented in part elsewhere, if it is unlikely to have been seen by the NIPS audience. Authors new to NIPS are strongly encouraged to submit their work, and will be given preference for oral presentations. Authors should not be dissuaded from submitting recent work, as there will be an opportunity after the meeting to revise accepted manuscripts before submitting a final camera-ready copy for the proceedings. Paper Format: Submitted papers may be up to seven pages in length, including figures and references, using a font no smaller than 10 point. Text is to be confined within a 8.25in by 5in rectangle. Submissions failing to follow these guidelines will not be considered. Authors are required to use the NIPS LaTeX style files obtainable from the web page listed below. The style files are unchanged from NIPS*2000. Submission Instructions: NIPS accepts only electronic submissions. Full submission instructions will be available at the web site given below. You will be asked to enter paper title, names of all authors, category, oral/poster preference, and contact author data (name, full address, telephone, fax, and email). You will upload your manuscript from the same page. We will accept postscript and PDF documents, but we prefer postscript. The electronic submission page will be available on June 6, 2001 Submission Deadline: SUBMISSIONS MUST BE LOGGED BY MIDNIGHT JUNE 20, 2001 PACIFIC DAYLIGHT TIME (08:00 GMT JUNE 21, 2001). The LaTeX style files for NIPS, the Electronic Submission Page, and other conference information are available on the World Wide Web at http://www.cs.cmu.edu/Web/Groups/NIPS For general inquiries or requests for registration material, send e-mail to [EMAIL PROTECTED] or fax to (619)587-0417. NIPS*2001 Organizing Committee: General Chair, Tom Dietterich, Oregon State University; Program Chair, Sue Becker, McMaster University; Publications Chair, Zoubin Ghahramani, University College London; Tutorial Chair, Yoshua Bengio, University of Montreal; Workshops Co-Chairs, Virginia de Sa, Sloan Center for Theoretical Neurobiology, Barak Pearlmutter, University of New Mexico; Publicity Chair, Richard Zemel, University of Toronto; Volunteer Coordinator, Sidney Fels, University of British Columbia; Treasurer, Bartlett Mel, University of Southern California; Web Masters, Alex Gray, Carnegie Mellon University, Xin Wang, Oregon State University; Government Liaison, Gary Blasdel, Harvard Medical School; Contracts, Steve Hanson, Rutgers University, Scott Kirkpatrick, IBM, Gerry Tesauro, IBM. NIPS*2001 Program Committee: Sue Becker, McMaster University (chair); Gert Cauwenberghs, Johns Hopkins University; Bill Freeman, Mitsubishi Electric Research Lab; Thomas Hofmann, Brown University; Dan Lee, Bell Laboratories, Lucent Technologies; Sridhar Mahadevan, Michigan State University; Marina Meila-Predoviciu, University of Washington; Klaus Mueller, GMD First, Berlin; Klaus Obermayer, TU Berlin; Sam Roweis, Gatsby Computational Neuroscience Unit, UCL; John Shawe-Taylor, Royal Holloway, University of London; Josh Tenenbaum, Stanford University; Volker Tresp, Siemens, Munich; Richard Zemel, University of Toronto. PAPERS MUST BE SUBMITTED BY JUNE 20, 2001
