Papers
11,015 papers found
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices
Yuxin Zhang, Mingbao Lin, Xunchao Li et al.
Real-time variational method for learning neural trajectory and its dynamics
Matthew Dowling, Yuan Zhao, Il Memming Park
Re-calibrating Feature Attributions for Model Interpretation
Peiyu Yang, NAVEED AKHTAR, Zeyi Wen et al.
Recitation-Augmented Language Models
Zhiqing Sun, Xuezhi Wang, Yi Tay et al.
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
Guangyuan SHI, Qimai Li, Wenlong Zhang et al.
Recursive Time Series Data Augmentation
Amine Mohamed Aboussalah, Minjae Kwon, Raj G Patel et al.
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors
Niv Cohen, Jonathan Kahana, Yedid Hoshen
Regression with Label Differential Privacy
Badih Ghazi, Pritish Kamath, Ravi Kumar et al.
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia et al.
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao, Ricky Loynd
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
Relative representations enable zero-shot latent space communication
Luca Moschella, Valentino Maiorca, Marco Fumero et al.
Reliability of CKA as a Similarity Measure in Deep Learning
MohammadReza Davari, Stefan Horoi, Amine Natik et al.
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan, Hanie Sedghi, Olga Saukh et al.
Reparameterization through Spatial Gradient Scaling
Alexander Detkov, Mohammad Salameh, Muhammad Fetrat et al.
Re-parameterizing Your Optimizers rather than Architectures
Xiaohan Ding, Honghao Chen, Xiangyu Zhang et al.
Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay
Hongming Zhang, Chenjun Xiao, Han Wang et al.
Replicable Bandits
Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi et al.
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
Lyndon Duong, Jingyang Zhou, Josue Nassar et al.
Representation Learning for Low-rank General-sum Markov Games
Chengzhuo Ni, Yuda Song, Xuezhou Zhang et al.
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency
Lingxiao Wang, Qi Cai, Zhuoran Yang et al.
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
Wanqi Xue, Qingpeng Cai, Ruohan Zhan et al.
Restricted Strong Convexity of Deep Learning Models with Smooth Activations
Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu et al.
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui, Da Yan, Xiaolong Ma et al.
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi, Hyeongjin Nam, Taeryung Lee et al.