Papers
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
Explainable Planner Selection for Classical Planning
Patrick Ferber, Jendrik Seipp
Explainable Shapley-Based Allocation (Student Abstract)
Meir Nizri, Noam Hazon, Amos Azaria
Explainable Survival Analysis with Convolution-Involved Vision Transformer
Yifan Shen, Li Liu, Zhihao Tang et al.
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
Siddhant Arora, Danish Pruthi, Norman Sadeh et al.
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning
Qiqi Gu, Shen Chen, Taiping Yao et al.
Exploiting Invariance in Training Deep Neural Networks
Chengxi Ye, Xiong Zhou, Tristan McKinney et al.
Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding
Jiaming Chen, Weixin Luo, Wei Zhang et al.
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
Yi Liang, Shuai Zhao, Bo Cheng et al.