Papers
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
Wenhao Yang, Xiang Li, Zhihua Zhang
Are Labels Required for Improving Adversarial Robustness?
Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang et al.
Are sample means in multi-armed bandits positively or negatively biased?
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
Are Sixteen Heads Really Better than One?
Paul Michel, Omer Levy, Graham Neubig
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions
Yuan Deng, Sébastien Lahaie, Vahab Mirrokni
A Self Validation Network for Object-Level Human Attention Estimation
Zehua Zhang, Chen Yu, David Crandall
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Yanis Bahroun, Dmitri Chklovskii, Anirvan Sengupta
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J Maddox, Pavel Izmailov, Timur Garipov et al.
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
Brian Lubars, Chenhao Tan
A Solvable High-Dimensional Model of GAN
Chuang Wang, Hong Hu, Yue Lu
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
Nathan Kallus, Angela Zhou
Assessing Social and Intersectional Biases in Contextualized Word Representations
Yi Chern Tan, L. Elisa Celis
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI
Tao Tu, John Paisley, Stefan Haufe et al.
A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang, Lin Xiao
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve et al.
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi, Alain Durmus, Umut Simsekli et al.
Asymptotics for Sketching in Least Squares Regression
Edgar Dobriban, Sifan Liu
A Tensorized Transformer for Language Modeling
Xindian Ma, Peng Zhang, Shuai Zhang et al.
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification
Ronghui You, Zihan Zhang, Ziye Wang et al.
Attentive State-Space Modeling of Disease Progression
Ahmed M. Alaa, Mihaela van der Schaar
Attribution-Based Confidence Metric For Deep Neural Networks
Susmit Jha, Sunny Raj, Steven Fernandes et al.
Augmented Neural ODEs
Emilien Dupont, Arnaud Doucet, Yee Whye Teh
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried, Sergio Pascual-Díaz, Jordi Grau-Moya