Papers
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting
Yuke Li, Pin Wang, Lixiong Chen et al.
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey et al.
Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees
Ruiwei Wang, Roland H.C. Yap
End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration
Zhiyuan Zhang, Jiadai Sun, Yuchao Dai et al.
End-to-End Line Drawing Vectorization
Hanyuan Liu, Chengze Li, Xueting Liu et al.
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification
Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng et al.
End-to-End Transformer Based Model for Image Captioning
Yiyu Wang, Jungang Xu, Yingfei Sun
Energy-Based Generative Cooperative Saliency Prediction
Jing Zhang, Jianwen Xie, Zilong Zheng et al.
Enforcement Heuristics for Argumentation with Deep Reinforcement Learning
Dennis Craandijk, Floris Bex
Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract)
Yushi Zeng, Guohua Wang, Haopeng Ren et al.
Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs
Berkeley R Andrus, Yeganeh Nasiri, Shilong Cui et al.
Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract)
Zhuoming Zheng, Yi Cai, Liuwu Li
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring
Yunzhuang Shen, Yuan Sun, Xiaodong Li et al.
Enhancing Counterfactual Classification Performance via Self-Training
Ruijiang Gao, Max Biggs, Wei Sun et al.
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation
Huifeng Yao, Xiaowei Hu, Xiaomeng Li
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching
Kexuan Xin, Zequn Sun, Wen Hua et al.
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