Papers
11,951 papers found
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang, Yiming Lu, Wenzhe Li et al.
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Xu Ma, Can Qin, Haoxuan You et al.
Rethinking Supervised Pre-Training for Better Downstream Transferring
Yutong Feng, Jianwen Jiang, Mingqian Tang et al.
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
Dacheng Yin, Xuanchi Ren, Chong Luo et al.
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong, Yuguang Yao, Yize Li et al.
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
Taesung Kim, Jinhee Kim, Yunwon Tae et al.
Revisiting Design Choices in Offline Model Based Reinforcement Learning
Cong Lu, Philip Ball, Jack Parker-Holder et al.
Revisiting flow generative models for Out-of-distribution detection
Dihong Jiang, Sun Sun, Yaoliang Yu
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng, Tianfu Wu, Christopher Healey
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi, JIAHUI GAO, Hang Xu et al.
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions
Shaochen Zhong, Guanqun Zhang, Ningjia Huang et al.
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Xinran Liang, Katherine Shu, Kimin Lee et al.
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Difan Zou, Jingfeng Wu, Vladimir Braverman et al.
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
Pingchuan Ma, Tao Du, Joshua B. Tenenbaum et al.
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H Fowl, Jonas Geiping, Wojciech Czaja et al.
RoboGNN: Robustifying Node Classification under Link Perturbation
Sheng Guan, Hanchao Ma, Yinghui Wu
Robust and Scalable SDE Learning: A Functional Perspective
Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius et al.
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina et al.
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
Shaopeng Fu, Fengxiang He, Yang Liu et al.
RotoGrad: Gradient Homogenization in Multitask Learning
Adrián Javaloy, Isabel Valera
RvS: What is Essential for Offline RL via Supervised Learning?
Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov et al.
Safe Neurosymbolic Learning with Differentiable Symbolic Execution
Chenxi Yang, Swarat Chaudhuri
Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems
Xiuzhen Guo, Longfei Shangguan, Yuan He et al.
Salient ImageNet: How to discover spurious features in Deep Learning?
Sahil Singla, Soheil Feizi
Sample and Computation Redistribution for Efficient Face Detection
Jia Guo, Jiankang Deng, Alexandros Lattas et al.