Papers
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Xueting Li, Sifei Liu, Shalini De Mello et al.
Learning Feature Sparse Principal Subspace
Lai Tian, Feiping Nie, Rong Wang et al.
A Biologically Plausible Neural Network for Slow Feature Analysis
David Lipshutz, Charles Windolf, Siavash Golkar et al.
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
Kevin Roth, Yannic Kilcher, Thomas Hofmann
See, Hear, Explore: Curiosity via Audio-Visual Association
Victoria Dean, Shubham Tulsiani, Abhinav Gupta
Bayesian Pseudocoresets
Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo et al.
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
Randall Balestriero, Sebastien PARIS, Richard Baraniuk
Deep Evidential Regression
Alexander Amini, Wilko Schwarting, Ava Soleimany et al.
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
jean barbier, Nicolas Macris, Cynthia Rush
Understanding and Exploring the Network with Stochastic Architectures
Zhijie Deng, Yinpeng Dong, Shifeng Zhang et al.
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
Feng Xie, Ruichu Cai, Biwei Huang et al.
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos, Mojmir Mutny, Andreas Krause
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
Joshua Glaser, Matthew Whiteway, John P. Cunningham et al.
Efficient Clustering Based On A Unified View Of K-means And Ratio-cut
Shenfei Pei, Feiping Nie, Rong Wang et al.
A Variational Approach for Learning from Positive and Unlabeled Data
Hui Chen, Fangqing Liu, Yin Wang et al.
STEER : Simple Temporal Regularization For Neural ODE
Arnab Ghosh, Harkirat Behl, Emilien Dupont et al.
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz et al.
AdaTune: Adaptive Tensor Program Compilation Made Efficient
Menghao Li, Minjia Zhang, Chi Wang et al.
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
Shaocong Ma, Yi Zhou, Shaofeng Zou
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Ben Eysenbach, XINYANG GENG, Sergey Levine et al.
Entropic Causal Inference: Identifiability and Finite Sample Results
Spencer Compton, Murat Kocaoglu, Kristjan Greenewald et al.
Task-Oriented Feature Distillation
Linfeng Zhang, Yukang Shi, Zuoqiang Shi et al.
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
Jianda Chen, Shangyu Chen, Sinno Jialin Pan
Implicit Rank-Minimizing Autoencoder
Li Jing, Jure Zbontar, yann lecun
Learning Sparse Prototypes for Text Generation
Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig