Papers
Object-Oriented Dynamics Predictor
Guangxiang Zhu, Zhiao Huang, Chongjie Zhang
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Hassan Ashtiani, Shai Ben-David, Nicholas Harvey et al.
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen et al.
Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Yi Wang, Xin Tao, Xiaojuan Qi et al.
Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior
Sid Reddy, Anca Dragan, Sergey Levine
Deep Neural Nets with Interpolating Function as Output Activation
Bao Wang, Xiyang Luo, Zhen Li et al.
Quadrature-based features for kernel approximation
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev et al.
Learning Attractor Dynamics for Generative Memory
Yan Wu, Gregory Wayne, Karol Gregor et al.
A Simple Cache Model for Image Recognition
Emin Orhan
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim, Seonguk Park, Nojun Kwak
Entropy and mutual information in models of deep neural networks
Marylou Gabrié, Andre Manoel, Clément Luneau et al.
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom, Anupam Datta, Matt Fredrikson
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
Contrastive Learning from Pairwise Measurements
Yi Chen, Zhuoran Yang, Yuchen Xie et al.
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius et al.
Policy Optimization via Importance Sampling
Alberto Maria Metelli, Matteo Papini, Francesco Faccio et al.
Multi-domain Causal Structure Learning in Linear Systems
AmirEmad Ghassami, Negar Kiyavash, Biwei Huang et al.
Coupled Variational Bayes via Optimization Embedding
Bo Dai, Hanjun Dai, Niao He et al.
Training DNNs with Hybrid Block Floating Point
Mario Drumond, Tao LIN, Martin Jaggi et al.
Speaker-Follower Models for Vision-and-Language Navigation
Daniel Fried, Ronghang Hu, Volkan Cirik et al.
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Andrei Zanfir, Elisabeta Marinoiu, Mihai Zanfir et al.
Gaussian Process Conditional Density Estimation
Vincent Dutordoir, Hugh Salimbeni, James Hensman et al.