Papers
Mutually Regressive Point Processes
Ifigeneia Apostolopoulou, Scott Linderman, Kyle Miller et al.
Deep Structured Prediction for Facial Landmark Detection
Lisha Chen, Hui Su, Qiang Ji
Disentangling Influence: Using disentangled representations to audit model predictions
Charles Marx, Richard Phillips, Sorelle Friedler et al.
Streaming Bayesian Inference for Crowdsourced Classification
Edoardo Manino, Long Tran-Thanh, Nicholas Jennings
Discriminative Topic Modeling with Logistic LDA
Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak et al.
Real-Time Reinforcement Learning
Simon Ramstedt, Chris Pal
On the Power and Limitations of Random Features for Understanding Neural Networks
Gilad Yehudai, Ohad Shamir
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games
Kaiqing Zhang, Zhuoran Yang, Tamer Basar
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi et al.
Bayesian Learning of Sum-Product Networks
Martin Trapp, Robert Peharz, Hong Ge et al.
Total Least Squares Regression in Input Sparsity Time
Huaian Diao, Zhao Song, David Woodruff et al.
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova, David Novotny, Andrea Vedaldi
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier et al.
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes
Gunpil Hwang, Seohyeon Kim, Hyeon-Min Bae
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Himanshu Sahni, Toby Buckley, Pieter Abbeel et al.
Learning Reward Machines for Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Ethan Waldie, Toryn Klassen et al.
Learning Sample-Specific Models with Low-Rank Personalized Regression
Ben Lengerich, Bryon Aragam, Eric P Xing
Learning to Correlate in Multi-Player General-Sum Sequential Games
Andrea Celli, Alberto Marchesi, Tommaso Bianchi et al.
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
Ruiyi Zhang, Tong Yu, Yilin Shen et al.
RUBi: Reducing Unimodal Biases for Visual Question Answering
Remi Cadene, Corentin Dancette, Hedi Ben younes et al.
Cold Case: The Lost MNIST Digits
Chhavi Yadav, Leon Bottou
MarginGAN: Adversarial Training in Semi-Supervised Learning
Jinhao Dong, Tong Lin
Flexible information routing in neural populations through stochastic comodulation
Caroline Haimerl, Cristina Savin, Eero Simoncelli
High-Dimensional Optimization in Adaptive Random Subspaces
Jonathan Lacotte, Mert Pilanci, Marco Pavone