Papers
Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis
Ryosuke Nakamoto, Brendan Flanagan, Kohei Nakamura et al.
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
Kayla Boggess, Sarit Kraus, Lu Feng
Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis
Yuxi Xia, Kinga Stańczak, Benjamin Roth
Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm
Masahiro Mitani, Yuya Sasaki
Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters
Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria et al.
Explaining Tournament Solutions with Minimal Supports
Clément Contet, Umberto Grandi, Jérôme Mengin
Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation
Jaewoo Park, Jungyang Park, Dongju Jang et al.
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi et al.
Explanations for Sequential Decision-Making – an Overview
Hendrik Baier, Mark T. Keane, Sarath Sreedharan et al.
Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation
Shuliang Wang, Xiaoting Leng, Sijie Ruan et al.
Explicit Modeling of Causal Factors and Confounders for Image Classification
Wei Wu, Lei Meng, Zhuang Qi et al.
Explicit Temporal-Semantic Modeling for Dense Video Captioning via Context-Aware Cross-Modal Interaction
Mingda Jia, Weiliang Meng, Zenghuang Fu et al.
Exploiting All Mamba Fusion for Efficient RGB-D Tracking
Ge Ying, Dawei Zhang, Chengzhuan Yang et al.
Exploiting Blurry Representations for Event-guided Video Super-Resolution
Zeyu Xiao, Xinchao Wang
Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking
Bohao Qu, Xiaofeng Cao, Bing Li et al.
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
Peng He, Yanglei Gan, Tingting Dai et al.
Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis
Weiyi Wu, Xinwen Xu, Chongyang Gao et al.
Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks
Deniz Koyuncu, Alex Gittens, Bülent Yener et al.
Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis
Qiang Zhou, Xudong Tong, Yuting Liu et al.
Exploiting Space Folding by Neural Networks
Michal Lewandowski, Raphael Pisoni, Bernhard Heinzl et al.
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
Xikang Yang, Biyu Zhou, Xuehai Tang et al.
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training
Weilin Wan, Fan Yi, Weizhong Zhang et al.
Explore How to Inject Beneficial Noise in MLLMs
Ruishu Zhu, Sida Huang, Ziheng Jiao et al.
Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control
Yiming Wang, Kaiyan Zhao, Xu Li et al.