Papers
705 papers found
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel, Adam Klivans, Frederic Koehler
Bad Global Minima Exist and SGD Can Reach Them
Shengchao Liu, Dimitris Papailiopoulos, Dimitris Achlioptas
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
Sam Hopkins, Jerry Li, Fred Zhang
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke, Bing Liu, Xingchang Huang
Matrix Inference and Estimation in Multi-Layer Models
Parthe Pandit, Mojtaba Sahraee Ardakan, Sundeep Rangan et al.
Self-Consistent Models and Values
Greg Farquhar, Kate Baumli, Zita Marinho et al.
Multiclass Boosting and the Cost of Weak Learning
Nataly Brukhim, Elad Hazan, Shay Moran et al.
Similarity and Matching of Neural Network Representations
Adrián Csiszárik, Péter Kőrösi-Szabó, Ákos Matszangosz et al.
Sim and Real: Better Together
Shirli Di-Castro, Dotan Di Castro, Shie Mannor
Dynamic Normalization and Relay for Video Action Recognition
Dongqi Cai, Anbang Yao, Yurong Chen
Coarse-to-fine Animal Pose and Shape Estimation
Chen Li, Gim Hee Lee
Glance-and-Gaze Vision Transformer
Qihang Yu, Yingda Xia, Yutong Bai et al.
Towards Stable and Robust AdderNets
Minjing Dong, Yunhe Wang, Xinghao Chen et al.
Tracking Without Re-recognition in Humans and Machines
Drew Linsley, Girik Malik, Junkyung Kim et al.
Bandits with many optimal arms
Rianne de Heide, James Cheshire, Pierre Ménard et al.
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin, Michael Woodford
Communicating Natural Programs to Humans and Machines
Sam Acquaviva, Yewen Pu, Marta Kryven et al.
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
Junke Wang, Dongdong Chen, Zuxuan Wu et al.
Near-Optimal Private and Scalable $k$-Clustering
Vincent Cohen-Addad, Alessandro Epasto, Vahab Mirrokni et al.
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On
Igor Santesteban, Miguel Otaduy, Nils Thuerey et al.
Diffusion Models as Plug-and-Play Priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic et al.
Hardness in Markov Decision Processes: Theory and Practice
Michelangelo Conserva, Paulo Rauber
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs
Khaled Nakhleh, I-Hong Hou
On Margin Maximization in Linear and ReLU Networks
Gal Vardi, Ohad Shamir, Nati Srebro