Papers
21,849 papers found
3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
Xi Liu, Chaoyi Zhou, Siyu Huang
3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization
Rui Jiao, Xiangzhe Kong, Wenbing Huang et al.
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
Baohao Liao, Christof Monz
4+3 Phases of Compute-Optimal Neural Scaling Laws
Elliot Paquette, Courtney Paquette, Lechao Xiao et al.
4-bit Shampoo for Memory-Efficient Network Training
Sike Wang, Pan Zhou, Jia Li et al.
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
Minjie Wang, Quan Gan, David Wipf et al.
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
Mijeong Kim, Jongwoo Lim, Bohyung Han
4Diffusion: Multi-view Video Diffusion Model for 4D Generation
Haiyu Zhang, Xinyuan Chen, Yaohui Wang et al.
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities
Roman Bachmann, Oğuzhan Fatih Kar, David Mizrahi et al.
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models
Heng Yu, Chaoyang Wang, Peiye Zhuang et al.
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective
Yunpeng Qing, Shunyu Liu, Jingyuan Cong et al.
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
Disha Makhija, Joydeep Ghosh, Nhat Ho
A Bayesian Approach to Data Point Selection
Xinnuo Xu, Minyoung Kim, Royson Lee et al.
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
MaryBeth Defrance, Maarten Buyl, Tijl De Bie
Abductive Reasoning in Logical Credal Networks
Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya et al.
A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
Hoonhee Cho, Taewoo Kim, Yuhwan Jeong et al.
A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
Artur Szałata, Andrew Benz, Robrecht Cannoodt et al.
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
Kyungeun Lee, Wonjong Rhee
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
Xin Zou, Zhengyu Zhou, Jingyuan Xu et al.
Abrupt Learning in Transformers: A Case Study on Matrix Completion
Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences
Zehui Li, Yuhao Ni, Guoxuan Xia et al.
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
Yunshi Wen, Tengfei Ma, Tsui-Wei Weng et al.
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva et al.
A Canonicalization Perspective on Invariant and Equivariant Learning
George Ma, Yifei Wang, Derek Lim et al.