Papers
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao et al.
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
Xingbo Liu, Xuening Zhang, Xiushan Nie et al.
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
Ranthony A. Clark, Tom Needham, Thomas Weighill
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
Fang Wu, Bozhen Hu, Stan Z. Li
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization
Haoyuan Sun, Bo Xia, Yongzhe Chang et al.
Generalizing Constraint Models in Constraint Acquisition
Dimos Tsouros, Senne Berden, Steven Prestwich et al.
General Uncertainty Estimation with Delta Variances
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt
Generating Counterfactual Explanations Under Temporal Constraints
Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini et al.
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
Tianlong Zhang, Zhe Xue, Adnan Mahmood et al.
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner
Aizierjiang Aiersilan
Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract)
Akshat Santhana Gopalan, Sowmya Ramaswamy Krishnan
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.
Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving
Tengpeng Li, Hanli Wang, Xianfei Li et al.
Generative Video Diffusion for Unseen Novel Semantic Video Moment Retrieval
Dezhao Luo, Shaogang Gong, Jiabo Huang et al.
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation
Jiawei Lu, YingPeng Zhang, Zengjun Zhao et al.
GenHMR: Generative Human Mesh Recovery
Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang et al.
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
Hui Sun, Liping Yi, Huidong Ma et al.
GenPlan: Generative Sequence Models as Adaptive Planners
Akash Karthikeyan, Yash Vardhan Pant
GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue
Priyanshu Priya, Rishikant Chigrupaatii, Mauajama Firdaus et al.
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Rui Deng, Ziqi Li, Mingshu Wang
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
Jinqing Zhang, Yanan Zhang, Yunlong Qi et al.
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
Yoontae Hwang, Yongjae Lee
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning
Junlin He, Tong Nie, Wei Ma
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
Yifang Qin, Jiaxuan Xie, Zhiping Xiao et al.