Papers
11,955 papers found
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon et al.
Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
Quanrui Rao, Lin Wang, Wuying Liu
Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
Hang Yin, Zihao Wang, Yangqiu Song
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
Yuxin Dong, Tieliang Gong, Hong Chen et al.
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen, Yichi Zhang, Yinpeng Dong et al.
Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks
Shuai He, Shuntian Zheng, Anlong Ming et al.
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker et al.
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
Zehao Dong, Muhan Zhang, Philip Payne et al.
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
Ge Yan, Hongxu Chen, Kaisen Pan et al.
Rethinking the Uniformity Metric in Self-Supervised Learning
Xianghong Fang, Jian Li, Qiang Sun et al.
Retrieval-based Disentangled Representation Learning with Natural Language Supervision
Jiawei Zhou, Xiaoguang Li, Lifeng Shang et al.
Retrieval-Enhanced Contrastive Vision-Text Models
Ahmet Iscen, Mathilde Caron, Alireza Fathi et al.
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan et al.
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui et al.
Retrieval meets Long Context Large Language Models
Peng Xu, Wei Ping, Xianchao Wu et al.
Retrieval Robust to Object Motion Blur
Rong Zou, Marc Pollefeys, Denys Rozumnyi
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Ilia Igashov, Arne Schneuing, Marwin Segler et al.
Retro-fallback: retrosynthetic planning in an uncertain world
Austin Tripp, Krzysztof Maziarz, Sarah Lewis et al.
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
Weiran Yao, Shelby Heinecke, Juan Carlos Niebles et al.
RETSim: Resilient and Efficient Text Similarity
Marina Zhang, Owen Skipper Vallis, Aysegul Bumin et al.
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland, Giovanni Montana
Reverse Diffusion Monte Carlo
Xunpeng Huang, Hanze Dong, Yifan HAO et al.
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency
Stone Tao, Arth Shukla, Tse-kai Chan et al.
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
Lingbing Guo, Zhuo Chen, Jiaoyan Chen et al.