Papers
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.
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
Liang He, Yunan Lu, Weiwei Li et al.
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi et al.
Generative Model for Decision Trees
Riccardo Guidotti, Anna Monreale, Mattia Setzu et al.
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
Guipeng Lan, Shuai Xiao, Jiachen Yang et al.
Generative Multi-Modal Knowledge Retrieval with Large Language Models
Xinwei Long, Jiali Zeng, Fandong Meng et al.
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
Vedang Asgaonkar, Aditya Jain, Abir De
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
Can Xu, Haosen Wang, Weigang Wang et al.
Geometry-Guided Domain Generalization for Monocular 3D Object Detection
Fan Yang, Hui Chen, Yuwei He et al.