All Papers
34,598 papers found • Page 630 of 692
Conference
ReMamber: Referring Image Segmentation with Mamba Twister
Yuhuan Yang, Chaofan Ma, Jiangchao Yao et al.
ReMasker: Imputing Tabular Data with Masked Autoencoding
Tianyu Du, Luca Melis, Ting Wang
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence
Filippo Maggioli, Daniele Baieri, Emanuele Rodola et al.
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
Ziniu Li, Tian Xu, Yushun Zhang et al.
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
Viktor Nilsson, Anirban Samaddar, Sandeep Madireddy et al.
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager et al.
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik et al.
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
Utkarsh Kumar Mall, Cheng Perng Phoo, Meilin Liu et al.
Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry
Shengjie Zhu, Girish Chandar Ganesan, Abhinav Kumar et al.
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang, Sharut Gupta, Caroline Uhler et al.
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
Mu Cai, Haotian Liu, Yuheng Li et al.
Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal
Yicheng Leng, Chaowei Fang, Gen Li et al.
Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining
Diwei Su, cheng fei, Jianxu Luo
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation
Floris Holstege, Bram Wouters, Noud van Giersbergen et al.
ReNoise: Real Image Inversion Through Iterative Noising
Daniel Garibi, Or Patashnik, Andrey Voynov et al.
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
Clément Pierquin, Aurélien Bellet, Marc Tommasi et al.
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting
Junwu Zhang, Zhenyu Tang, Yatian Pang et al.
RepAn: Enhanced Annealing through Re-parameterization
Xiang Fei, Xiawu Zheng, Yan Wang et al.
Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
Yunfei Long, Zilin Tian, Liguo Zhang et al.
Repeat After Me: Transformers are Better than State Space Models at Copying
Samy Jelassi, David Brandfonbrener, Sham Kakade et al.
Repeated Fair Allocation of Indivisible Items
Ayumi Igarashi, Martin Lackner, Oliviero Nardi et al.
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos et al.
Repelling Random Walks
Isaac Reid, Eli Berger, Krzysztof Choromanski et al.
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation
Yi Rong, Haoran Zhou, Kang Xia et al.
Replay across Experiments: A Natural Extension of Off-Policy RL
Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen et al.
Replicable Learning of Large-Margin Halfspaces
Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen et al.
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Tianyang Liu, Canwen Xu, Julian McAuley
Repoformer: Selective Retrieval for Repository-Level Code Completion
Di Wu, Wasi Ahmad, Dejiao Zhang et al.
RePOSE: 3D Human Pose Estimation via Spatio-Temporal Depth Relational Consistency
Ziming Sun, Yuan Liang, Zejun Ma et al.
Representation Deficiency in Masked Language Modeling
Yu Meng, Jitin Krishnan, Sinong Wang et al.
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization
Wei Huang, Yilei Shi, Zhitong Xiong et al.
Representation Surgery for Multi-Task Model Merging
Enneng Yang, Li Shen, Zhenyi Wang et al.
Representation Surgery: Theory and Practice of Affine Steering
Shashwat Singh, Shauli Ravfogel, Jonathan Herzig et al.
Representing Molecules as Random Walks Over Interpretable Grammars
Michael Sun, Minghao Guo, Weize Yuan et al.
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision
Mohammad Reza Hosseinzadeh Taher, Michael Gotway, Jianming Liang
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures
Jiaxing Huang, Yanfeng Zhou, Yaoru Luo et al.
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods
Luisa Werner, Nabil Layaïda, Pierre Genevès et al.
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu et al.
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
REPrune: Channel Pruning via Kernel Representative Selection
Mincheol Park, Dongjin Kim, Cheonjun Park et al.
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang et al.
Repurposing Ensemble of Black-Box Models to New Task Domains
Minh Hoang, Nghia Hoang
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception
Shen Jianbing, Chunliang Li, Wencheng Han et al.
RepViT: Revisiting Mobile CNN From ViT Perspective
Ao Wang, Hui Chen, Zijia Lin et al.
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution
Shuyao Shang, Zhengyang Shan, Guangxing Liu et al.
Research Papers
Xiangci Li, Jessica Ouyang
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
Thomas Ferté, Dutartre Dan, Boris Hejblum et al.
ResFields: Residual Neural Fields for Spatiotemporal Signals
Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys et al.
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems
Bonan Zhang, Chia-Yu Chen, Naveen Verma