Papers
Gaze Target Detection by Merging Human Attention and Activity Cues
Yaokun Yang, Yihan Yin, Feng Lu
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen et al.
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews
Kaushik Roy, Vedant Khandelwal, Valerie Vera et al.
General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants
Kyoung Jun Lee, Baek Jeong, Suhyeon Kim et al.
Generalisation through Negation and Predicate Invention
David M. Cerna, Andrew Cropper
Generalising Planning Environment Redesign
Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
Huihui Song, Tiankang Su, Yuhui Zheng et al.
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)
Rui Kong, Chenyang Wu, Zongzhang Zhang
Generalizable Sleep Staging via Multi-Level Domain Alignment
Jiquan Wang, Sha Zhao, Haiteng Jiang et al.
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang et al.
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Xinying Zou, Samir M. Perlaza, Iñaki Esnaola et al.
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons
Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang et al.
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas et al.
Generalized Variational Inference via Optimal Transport
Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
Jian Zhu, Congcong Liu, Xue Jiang et al.
Generalizing across Temporal Domains with Koopman Operators
Qiuhao Zeng, Wei Wang, Fan Zhou et al.
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
Songmin Dai, Yifan Wu, Xiaoqiang Li et al.
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks
Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin et al.
Generating Images of Rare Concepts Using Pre-trained Diffusion Models
Dvir Samuel, Rami Ben-Ari, Simon Raviv et al.
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash et al.
Generating Universal Adversarial Perturbations for Quantum Classifiers
Gautham Anil, Vishnu Vinod, Apurva Narayan
Generation of Visual Representations for Multi-Modal Mathematical Knowledge
Lianlong Wu, Seewon Choi, Daniel Raggi et al.
Generative-Based Fusion Mechanism for Multi-Modal Tracking
Zhangyong Tang, Tianyang Xu, Xiaojun Wu et al.