Papers
Subset Selection under Noise
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
Deep Reinforcement Learning from Human Preferences
Paul F Christiano, Jan Leike, Tom Brown et al.
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon et al.
Clustering Stable Instances of Euclidean k-means.
Aravindan Vijayaraghavan, Abhratanu Dutta, Alex Wang
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
Moustapha M Cisse, Yossi Adi, Natalia Neverova et al.
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
Abhishek Kumar, Prasanna Sattigeri, Tom Fletcher
Welfare Guarantees from Data
Darrell Hoy, Denis Nekipelov, Vasilis Syrgkanis
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems
Le Fang, Fan Yang, Wen Dong et al.
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
Saurabh Verma, Zhi-Li Zhang
Neural Expectation Maximization
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
Graph Matching via Multiplicative Update Algorithm
Bo Jiang, Jin Tang, Chris Ding et al.
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
Kinjal Basu, Ankan Saha, Shaunak Chatterjee
AdaGAN: Boosting Generative Models
Ilya O Tolstikhin, Sylvain Gelly, Olivier Bousquet et al.
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang, Tianbao Yang, Jinfeng Yi et al.
Influence Maximization with ε-Almost Submodular Threshold Functions
Qiang Li, Wei Chen, Institute of Computing Xiaoming Sun et al.
Inferring Generative Model Structure with Static Analysis
Paroma Varma, Bryan D He, Payal Bajaj et al.
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin, Connor Coley, Regina Barzilay et al.
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
Yi-An Lai, Chin-Chi Hsu, Wen Hao Chen et al.
Random Permutation Online Isotonic Regression
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays
Cesar F. Caiafa, Olaf Sporns, Andrew Saykin et al.
Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis, Hakan Bilen, Andrea Vedaldi
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard Zemel
Dynamic Revenue Sharing
Santiago Balseiro, Max Lin, Vahab Mirrokni et al.
Random Projection Filter Bank for Time Series Data
Amir-massoud Farahmand, Sepideh Pourazarm, Daniel Nikovski