Papers
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
Nikolaj Thams, Michael Oberst, David Sontag
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
Charles Lovering, Jessica Forde, George Konidaris et al.
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei, Zhen Wang, Yaliang Li et al.
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Noel Loo, Ramin Hasani, Alexander Amini et al.
Exact learning dynamics of deep linear networks with prior knowledge
Lukas Braun, Clémentine Dominé, James Fitzgerald et al.
Exact Shape Correspondence via 2D graph convolution
Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen et al.
Exact Solutions of a Deep Linear Network
Liu Ziyin, Botao Li, Xiangming Meng
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Jinlong Li, Zequn Jie, Xu Wang et al.
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Peng Jin, Jinfa Huang, Fenglin Liu et al.
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
Niclas Boehmer, Robert Bredereck, Edith Elkind et al.
Expected Improvement for Contextual Bandits
Hung Tran-The, Sunil Gupta, Santu Rana et al.
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
WEICONG LIANG, YUHUI YUAN, Henghui Ding et al.
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmir Mutny, Andreas Krause
Explainability Via Causal Self-Talk
Nicholas A. Roy, Junkyung Kim, Neil Rabinowitz
Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein, Nitsan levy, Lucy Liu et al.
Explaining Preferences with Shapley Values
Robert Hu, Siu Lun Chau, Jaime Ferrando Huertas et al.
Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
Artyom Sorokin, Nazar Buzun, Leonid Pugachev et al.
Explicable Policy Search
Ze Gong, Yu ("Tony") Zhang
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri, Kiarash Banihashem, Soheil Feizi
Exploitability Minimization in Games and Beyond
Denizalp Goktas, Amy Greenwald
Exploiting Semantic Relations for Glass Surface Detection
Jiaying Lin, Yuen-Hei Yeung, Rynson Lau
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection
Fan Wang, Adams Wai Kin Kong
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards
Rati Devidze, Parameswaran Kamalaruban, Adish Singla
Exploration via Elliptical Episodic Bonuses
Mikael Henaff, Roberta Raileanu, Minqi Jiang et al.