Papers
Envy-Free House Allocation under Uncertain Preferences
Haris Aziz, Isaiah Iliffe, Bo Li et al.
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
Dong Chen, Ning Liu, Yichen Zhu et al.
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context
Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)
Guihong Wan, Wei Mao, Yevgeniy R. Semenov et al.
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.
ESG Accountability Made Easy: DocQA at Your Service
Lokesh Mishra, Cesar Berrospi, Kasper Dinkla et al.
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
Chenglong Wang, Hang Zhou, Yimin Hu et al.
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data
Jinwei Zeng, Yu Liu, Jingtao Ding et al.
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
Libo Huang, Yan Zeng, Chuanguang Yang et al.
ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram et al.
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
Fei Wang, Dan Guo, Kun Li et al.
Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior
Qihang Fang, Yafei Song, Keqiang Li et al.
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
Travis Seale-Carlisle, Saksham Jain, Courtney Lee et al.
Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract)
Jinsun Jung, Hyeoneui Kim
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)
Shaz Furniturewala, Surgan Jandial, Abhinav Java et al.
Evaluation of Large Language Models on Code Obfuscation (Student Abstract)
Adrian Swindle, Derrick McNealy, Giri Krishnan et al.
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
Junyi Chen, Longteng Guo, Jia Sun et al.
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
Pengfei Zhu, Qian Wang, Yu Wang et al.
Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis
Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
Ruohua Shi, Lingyu Duan, Tiejun Huang et al.
Evolving Parameterized Prompt Memory for Continual Learning
Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.
Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology
Foivos Fioravantes, Dušan Knop, Jan Matyáš Křištan et al.
Exact ASP Counting with Compact Encodings
Mohimenul Kabir, Supratik Chakraborty, Kuldeep S. Meel