Papers
554 papers found
Self-Consistent Models and Values
Greg Farquhar, Kate Baumli, Zita Marinho 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
Optimal prediction of Markov chains with and without spectral gap
Yanjun Han, Soham Jana, Yihong Wu
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed, Jia Deng
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.
MAU: A Motion-Aware Unit for Video Prediction and Beyond
Zheng Chang, Xinfeng Zhang, Shanshe Wang et al.
On Margins and Generalisation for Voting Classifiers
Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
Near-Optimal Private and Scalable $k$-Clustering
Vincent Cohen-Addad, Alessandro Epasto, Vahab Mirrokni et al.
Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu, Hao Liu, Aditya Grover et al.
Diffusion Models as Plug-and-Play Priors
Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic et al.
Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon, Danielle Hausler, Arun Jambulapati et al.
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
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer, Tijmen Blankevoort, Babak Ehteshami Bejnordi
Thinker: Learning to Plan and Act
Stephen Chung, Ivan Anokhin, David Krueger
On Private and Robust Bandits
Yulian Wu, Xingyu Zhou, Youming Tao et al.
Simple and Controllable Music Generation
Jade Copet, Felix Kreuk, Itai Gat et al.
StyleGAN knows Normal, Depth, Albedo, and More
Anand Bhattad, Daniel McKee, Derek Hoiem et al.
On Masked Pre-training and the Marginal Likelihood
Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg
Optimal Multiclass U-Calibration Error and Beyond
Haipeng Luo, Spandan Senapati, Vatsal Sharan
Marginal Causal Flows for Validation and Inference
Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans
What makes unlearning hard and what to do about it
Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu et al.
On the Role of Attention Masks and LayerNorm in Transformers
Xinyi Wu, Amir Ajorlou, Yifei Wang et al.