Papers
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy, Marco Miani, Carl Henrik Ek et al.
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang et al.
ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations
Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie et al.
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
Chaoxi Niu, Guansong Pang, Ling Chen et al.
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
Jason Vander Woude, Peter Dixon, A. Pavan et al.
Replicable Uniformity Testing
Sihan Liu, Christopher Ye
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
João Monteiro, Pierre-André Noël, Étienne Marcotte et al.
Representation Noising: A Defence Mechanism Against Harmful Finetuning
Domenic Rosati, Jan Wehner, Kai Williams et al.
Reproducibility of predictive networks for mouse visual cortex
Polina Turishcheva, Max F. Burg, Fabian H. Sinz et al.
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
Xiangxin Zhou, Jiaqi Guan, Yijia Zhang et al.
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
Albert Q. Jiang, Alicja Ziarko, Bartosz Piotrowski et al.
Reranking Laws for Language Generation: A Communication-Theoretic Perspective
António Farinhas, Haau-Sing Li, André F. T. Martins
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
Xincheng Yao, Zixin Chen, Chao Gao et al.
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise
Zhenning Shi, Haoshuai Zheng, Chen Xu et al.
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
Thomas Nagler, Lennart Schneider, Bernd Bischl et al.
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian, Mitchell Wortsman, Jenia Jitsev et al.
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
Mingyi Li, Xiao Zhang, Qi Wang et al.
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
Dan Zhang, Sining Zhoubian, Ziniu Hu et al.
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
Haoyu Chen, Wenbo Li, Jinjin Gu et al.
Rethinking 3D Convolution in $\ell_p$-norm Space
Li Zhang, Yan Zhong, Jianan Wang et al.
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective
Qishuai Wen, Chun-Guang Li
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
Jay Bear, Adam Prügel-Bennett, Jonathon Hare
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
Yiming Wang, Kaiyan Zhao, Furui Liu et al.
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
Runze Yang, Longbing Cao, Jianxun Li et al.
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality
Tianle Zhang, Langtian Ma, Yuchen Yan et al.