Papers
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
Gabriel Ocker, Michael Buice
Tensor Normal Training for Deep Learning Models
Yi Ren, Donald Goldfarb
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
Taebum Kim, Eunji Jeong, Geon-Woo Kim et al.
Testing Probabilistic Circuits
Yash Pralhad Pote, Kuldeep S Meel
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
YU LI, Min LI, Qiuxia LAI et al.
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa, Yutaka Matsuo
Test-time Collective Prediction
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates et al.
Test-Time Personalization with a Transformer for Human Pose Estimation
Yizhuo Li, Miao Hao, Zonglin Di et al.
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
Masahiro Kato, Kenichiro McAlinn, Shota Yasui
The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu et al.
The Benefits of Implicit Regularization from SGD in Least Squares Problems
Difan Zou, Jingfeng Wu, Vladimir Braverman et al.
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Tiancheng Jin, Longbo Huang, Haipeng Luo
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia, Kai-Zhan Lee, Yoshua Bengio et al.
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian, Viktoriia Korchemna
The Complexity of Sparse Tensor PCA
Davin Choo, Tommaso d'Orsi
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Yu-Chia Chen, Marina Meila
The Difficulty of Passive Learning in Deep Reinforcement Learning
Georg Ostrovski, Pablo Samuel Castro, Will Dabney
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen, Daeyoung Kim, Anh Nguyen
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
Fabian Latorre, Leello Tadesse Dadi, Paul Rolland et al.
The Elastic Lottery Ticket Hypothesis
Xiaohan Chen, Yu Cheng, Shuohang Wang et al.
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
Runtao Liu, Zhirong Wu, Stella X. Yu et al.
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
Daniel LeJeune, Hamid Javadi, Richard Baraniuk
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari, Patrick Mineault, Timothy Lillicrap et al.
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
Mufan Li, Mihai Nica, Dan Roy
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
Fang Kong, Yueran Yang, Wei Chen et al.