Papers
8,127 papers found
Explainable Graph Neural Networks via Structural Externalities
Lijun Wu, Dong Hao, Zhiyi Fan
Explainable Graph Representation Learning via Graph Pattern Analysis
Xudong Wang, Ziheng Sun, Chris Ding et al.
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
Yuya Yoshikawa, Masanari Kimura, Ryotaro Shimizu et al.
Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint)
Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract)
Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani et al.
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning
Di Yu, Xin Du, Linshan Jiang et al.
Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization
Tianxiang Hao, Hui Chen, Guiguang Ding
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks
Bingdao Feng, Di Jin, Xiaobao Wang et al.
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph
Yuxiang Wang, Xiao Yan, Shiyu Jin et al.
Exploring Efficient and Effective Sequence Learning for Visual Object Tracking
Dongdong Li, Zhinan Gao, Yangliu Kuai et al.
Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning
Palok Biswas, Zuzanna Osika, Isidoro Tamassia et al.
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Chi Xu, Yili Jin, Sami Ma et al.
Exploring Semantic Masked Autoencoder for Self-supervised Point Cloud Understanding
Yixin Zha, Chuxin Wang, Wenfei Yang et al.
Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark
Yudong Jiang, Baohan Xu, Siqian Yang et al.
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
Feifei Qian, Lu Bai, Lixin Cui et al.
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
Jemin Lee, Sihyeong Park, Jinse Kwon et al.
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
Zhijie Rao, Jingcai Guo, Miaoge Li et al.
ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation
Zhan Qu, Shengyu Zhang, Mengze Li et al.
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding
Jisheng Dang, Huicheng Zheng, Xudong Wu et al.
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning
Zhongjie Duan, Hong Zhang, Wenmeng Zhou et al.
Eye-See-You: Reverse Pass-Through VR and Head Avatars
Ankan Dash, Jingyi Gu, Guiling Wang et al.
EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR
Zhengyuan Peng, Jianqing Xu, Shen Li et al.
Facets in Argumentation: A Formal Approach to Argument Significance
Johannes K. Fichte, Nicolas Fröhlich, Markus Hecher et al.
FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models
Yujie Lin, Dong Li, Minglai Shao et al.
FairCognizer: A Model for Accurate Predictions with Inherent Fairness Evaluation (Extended Abstract)
Adda Akram Bendoukha, Nesrine Kaaniche, Aymen Boudguiga et al.