Papers
Efficient Black-Box Planning Using Macro-Actions with Focused Effects
Cameron Allen, Michael Katz, Tim Klinger et al.
Efficiently Explaining CSPs with Unsatisfiable Subset Optimization
Emilio Gamba, Bart Bogaerts, Tias Guns
Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts
Ben Batten, Panagiotis Kouvaros, Alessio Lomuscio et al.
Efficient PAC Reinforcement Learning in Regular Decision Processes
Alessandro Ronca, Giuseppe De Giacomo
Electrocardio Panorama: Synthesizing New ECG views with Self-supervision
Jintai Chen, Xiangshang Zheng, Hongyun Yu et al.
EmbedMask: Embedding Coupling for Instance Segmentation
Hui Ying, Zhaojin Huang, Shu Liu et al.
Emergent Prosociality in Multi-Agent Games Through Gifting
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık et al.
Emerging Methods of Auction Design in Social Networks
Yuhang Guo, Dong Hao
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation
Deniz Gurevin, Mikhail Bragin, Caiwen Ding et al.
End-to-End Constrained Optimization Learning: A Survey
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck et al.
Enhance Image as You Like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He et al.
Enhancing Label Representations with Relational Inductive Bias Constraint for Fine-Grained Entity Typing
Jinqing Li, Xiaojun Chen, Dakui Wang et al.
Epsilon Best Arm Identification in Spectral Bandits
Tomáš Kocák, Aurélien Garivier
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study
Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar
Even More Effort Towards Improved Bounds and Fixed-Parameter Tractability for Multiwinner Rules
Sushmita Gupta, Pallavi Jain, Saket Saurabh et al.
Event-based Action Recognition Using Motion Information and Spiking Neural Networks
Qianhui Liu, Dong Xing, Huajin Tang et al.
EventDrop: Data Augmentation for Event-based Learning
Fuqiang Gu, Weicong Sng, Xuke Hu et al.
Evolutionary Gradient Descent for Non-convex Optimization
Ke Xue, Chao Qian, Ling Xu et al.
Exact Acceleration of K-Means++ and K-Means||
Edward Raff
Exemplification Modeling: Can You Give Me an Example, Please?
Edoardo Barba, Luigi Procopio, Caterina Lacerra et al.
Explaining Deep Neural Network Models with Adversarial Gradient Integration
Deng Pan, Xin Li, Dongxiao Zhu
Explaining Self-Supervised Image Representations with Visual Probing
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki et al.
Explanation in Constraint Satisfaction: A Survey
Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
Mingkun Xu, Yujie Wu, Lei Deng et al.
Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation
Gaode Chen, Xinghua Zhang, Yanyan Zhao et al.