Papers
Design Principles of the Hippocampal Cognitive Map
Kimberly L Stachenfeld, Matthew Botvinick, Samuel J Gershman
Fast Sampling-Based Inference in Balanced Neuronal Networks
Guillaume Hennequin, Laurence Aitchison, Mate Lengyel
Diverse Sequential Subset Selection for Supervised Video Summarization
Boqing Gong, Wei-Lun Chao, Kristen Grauman et al.
Tight Continuous Relaxation of the Balanced k-Cut Problem
Syama Sundar Rangapuram, Pramod Kaushik Mudrakarta, Matthias Hein
Learning the Learning Rate for Prediction with Expert Advice
Wouter M. Koolen, Tim van Erven, Peter Grünwald
A Unified Semantic Embedding: Relating Taxonomies and Attributes
Sung Ju Hwang, Leonid Sigal
Efficient Partial Monitoring with Prior Information
Hastagiri P Vanchinathan, Gábor Bartók, Andreas Krause
Optimizing F-Measures by Cost-Sensitive Classification
Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
Shaping Social Activity by Incentivizing Users
Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez et al.
Low-dimensional models of neural population activity in sensory cortical circuits
Evan W Archer, Urs Koster, Jonathan W Pillow et al.
The Infinite Mixture of Infinite Gaussian Mixtures
Halid Z Yerebakan, Bartek Rajwa, Murat Dundar
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
Yanping Huang, Rajesh P. Rao
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
Mehmet Gönen, Adam A Margolin
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever, Oriol Vinyals, Quoc V Le
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
Mohammad Taha Bahadori, Qi (Rose) Yu, Yan Liu
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong et al.
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
Sebastian Stober, Daniel J Cameron, Jessica A Grahn
Learning to Discover Efficient Mathematical Identities
Wojciech Zaremba, Karol Kurach, Rob Fergus
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
Yuancheng Zhu, John Lafferty
Fairness in Multi-Agent Sequential Decision-Making
Chongjie Zhang, Julie A Shah
Learning to Search in Branch and Bound Algorithms
He He, Hal Daume III, Jason M Eisner
How transferable are features in deep neural networks?
Jason Yosinski, Jeff Clune, Yoshua Bengio et al.
The Blinded Bandit: Learning with Adaptive Feedback
Ofer Dekel, Elad Hazan, Tomer Koren
Analysis of Brain States from Multi-Region LFP Time-Series
Kyle R Ulrich, David E Carlson, Wenzhao Lian et al.
Time--Data Tradeoffs by Aggressive Smoothing
John J Bruer, Joel A Tropp, Volkan Cevher et al.