Papers
Entailment Relation Aware Paraphrase Generation
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
Entropy-Based Logic Explanations of Neural Networks
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini et al.
Entropy Estimation via Normalizing Flow
Ziqiao Ao, Jinglai Li
Episodic Policy Gradient Training
Hung Le, Majid Abdolshah, Thommen K. George et al.
EqGNN: Equalized Node Opportunity in Graphs
Uriel Singer, Kira Radinsky
Equal Bits: Enforcing Equally Distributed Binary Network Weights
Yunqiang Li, Silvia-Laura Pintea, Jan C van Gemert
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization
Hugh Zhang, Adam Lerer, Noam Brown
Equilibrium Learning in Auction Markets
Stefan Heidekrüger
Equity Promotion in Online Resource Allocation
Pan Xu, Yifan Xu
Equivalence in Argumentation Frameworks with a Claim-Centric View – Classical Results with Novel Ingredients
Ringo Baumann, Anna Rapberger, Markus Ulbricht
ER: Equivariance Regularizer for Knowledge Graph Completion
Zongsheng Cao, Qianqian Xu, Zhiyong Yang et al.
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee et al.
Error-Based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao, Hong Chen, Yingjie Wang et al.
Estimation of Local Average Treatment Effect by Data Combination
Kazuhiko Shinoda, Takahiro Hoshino
EtinyNet: Extremely Tiny Network for TinyML
Kunran Xu, Yishi Li, Huawei Zhang et al.
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Weina Jin, Xiaoxiao Li, Ghassan Hamarneh
Event-Aware Multimodal Mobility Nowcasting
Zhaonan Wang, Renhe Jiang, Hao Xue et al.
Event-Image Fusion Stereo Using Cross-Modality Feature Propagation
Hoonhee Cho, Kuk-Jin Yoon
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation
Liang Chen, Yihang Lou, Jianzhong He et al.
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Yifan Xu, Zhijie Zhang, Mengdan Zhang et al.
Expert-Informed, User-Centric Explanations for Machine Learning
Michael Pazzani, Severine Soltani, Robert Kaufman et al.
Explainable and Local Correction of Classification Models Using Decision Trees
Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi et al.
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory
Mengshi Ge, Rui Mao, Erik Cambria