Papers
11,951 papers found
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
Aditya Paliwal, Felix Gimeno, Vinod Nair et al.
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen, Lingfei Wu, Mohammed J. Zaki
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Anirudh Goyal, Shagun Sodhani, Jonathan Binas et al.
Relational State-Space Model for Stochastic Multi-Object Systems
Fan Yang, Ling Chen, Fan Zhou et al.
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
David Berthelot, Nicholas Carlini, Ekin D. Cubuk et al.
Rényi Fair Inference
Sina Baharlouei, Maher Nouiehed, Ahmad Beirami et al.
Residual Energy-Based Models for Text Generation
Yuntian Deng, Anton Bakhtin, Myle Ott et al.
Restricting the Flow: Information Bottlenecks for Attribution
Karl Schulz, Leon Sixt, Federico Tombari et al.
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness
Tianyu Pang, Kun Xu, Yinpeng Dong et al.
Rethinking the Hyperparameters for Fine-tuning
Hao Li, Pratik Chaudhari, Hao Yang et al.
Revisiting Self-Training for Neural Sequence Generation
Junxian He, Jiatao Gu, Jiajun Shen et al.
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis
Atsuhiro Noguchi, Tatsuya Harada
Rhythmic Convergence in Canadian French Varieties?
Svetlana Kaminskaïa
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu, Tim Rocktäschel
Ridge Regression: Structure, Cross-Validation, and Sketching
Sifan Liu, Edgar Dobriban
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
Xinshi Chen, Yu Li, Ramzan Umarov et al.
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
Anil Kag, Ziming Zhang, Venkatesh Saligrama
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli et al.
Robust anomaly detection and backdoor attack detection via differential privacy
Min Du, Ruoxi Jia, Dawn Song
Robust Importance Weighting for Covariate Shift
Fengpei Li, Henry Lam, Siddharth Prusty
Robust Local Features for Improving the Generalization of Adversarial Training
Chuanbiao Song, Kun He, Jiadong Lin et al.
Robustness Verification for Transformers
Zhouxing Shi, Huan Zhang, Kai-Wei Chang et al.
Robust Reinforcement Learning for Continuous Control with Model Misspecification
Daniel J. Mankowitz, Nir Levine, Rae Jeong et al.
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman
Robust training with ensemble consensus
Jisoo Lee, Sae-Young Chung