Papers
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data
Benjamin Coleman, Richard Baraniuk, Anshumali Shrivastava
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Yehuda Dar, Paul Mayer, Lorenzo Luzi et al.
Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin, Gabriel Peyré, Thomas Moreau
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
Surbhi Goel, Aravind Gollakota, Zhihan Jin et al.
Supervised learning: no loss no cry
Richard Nock, Aditya Menon
Supervised Quantile Normalization for Low Rank Matrix Factorization
Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed et al.
Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg, Aniket Bajpai, Mausam
Tails of Lipschitz Triangular Flows
Priyank Jaini, Ivan Kobyzev, Yaoliang Yu et al.
TaskNorm: Rethinking Batch Normalization for Meta-Learning
John Bronskill, Jonathan Gordon, James Requeima et al.
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu
Task Understanding from Confusing Multi-task Data
Xin Su, Yizhou Jiang, Shangqi Guo et al.
Taylor Expansion Policy Optimization
Yunhao Tang, Michal Valko, Remi Munos
T-Basis: a Compact Representation for Neural Networks
Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis et al.
Teaching with Limited Information on the Learner’s Behaviour
Ferdinando Cicalese, Sergio Filho, Eduardo Laber et al.
Temporal Logic Point Processes
Shuang Li, Lu Wang, Ruizhi Zhang et al.
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression
Changhee Lee, Mihaela Van Der Schaar
Tensor denoising and completion based on ordinal observations
Chanwoo Lee, Miaoyan Wang
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang, Zhuang Liu et al.
T-GD: Transferable GAN-generated Images Detection Framework
Hyeonseong Jeon, Young Oh Bang, Junyaup Kim et al.
The Boomerang Sampler
Joris Bierkens, Sebastiano Grazzi, Kengo Kamatani et al.
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Wenpin Tang, Xin Guo, Fengmin Tang
The Complexity of Finding Stationary Points with Stochastic Gradient Descent
Yoel Drori, Ohad Shamir
The continuous categorical: a novel simplex-valued exponential family
Elliott Gordon-Rodriguez, Gabriel Loaiza-Ganem, John Cunningham
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers
Pierre Bellec, Dana Yang
The Differentiable Cross-Entropy Method
Brandon Amos, Denis Yarats