Papers
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
The Effect of Natural Distribution Shift on Question Answering Models
John Miller, Karl Krauth, Benjamin Recht et al.
The FAST Algorithm for Submodular Maximization
Adam Breuer, Eric Balkanski, Yaron Singer
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent
Karthik Abinav Sankararaman, Soham De, Zheng Xu et al.
The Implicit and Explicit Regularization Effects of Dropout
Colin Wei, Sham Kakade, Tengyu Ma
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
Alnur Ali, Edgar Dobriban, Ryan Tibshirani
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Zhe Feng, David Parkes, Haifeng Xu
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Jakub Swiatkowski, Kevin Roth, Bastiaan Veeling et al.
The Many Shapley Values for Model Explanation
Mukund Sundararajan, Amir Najmi
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
Ben Adlam, Jeffrey Pennington
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu et al.