Papers
11,015 papers found
Query-efficient Meta Attack to Deep Neural Networks
Jiawei Du, Hu Zhang, Joey Tianyi Zhou et al.
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
Sam Lobel*, Chunyuan Li*, Jianfeng Gao et al.
Ranking Policy Gradient
Kaixiang Lin, Jiayu Zhou
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio et al.
RaPP: Novelty Detection with Reconstruction along Projection Pathway
Ki Hyun Kim, Sangwoo Shim, Yongsub Lim et al.
Real or Not Real, that is the Question
Yuanbo Xiangli*, Yubin Deng*, Bo Dai* et al.
Reanalysis of Variance Reduced Temporal Difference Learning
Tengyu Xu, Zhe Wang, Yi Zhou et al.
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Weihao Yu, Zihang Jiang, Yanfei Dong et al.
Reconstructing continuous distributions of 3D protein structure from cryo-EM images
Ellen D. Zhong, Tristan Bepler, Joseph H. Davis et al.
Recurrent neural circuits for contour detection
Drew Linsley*, Junkyung Kim*, Alekh Ashok et al.
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Edouard Grave, Armand Joulin
Reformer: The Efficient Transformer
Nikita Kitaev, Lukasz Kaiser, Anselm Levskaya
Regularizing activations in neural networks via distribution matching with the Wasserstein metric
Taejong Joo, Donggu Kang, Byunghoon Kim
Reinforced active learning for image segmentation
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh et al.
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.