Papers
11,951 papers found
Probing BERT in Hyperbolic Spaces
Boli Chen, Yao Fu, Guangwei Xu et al.
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu, Xin Tong, Qiang Liu
Progressive Skeletonization: Trimming more fat from a network at initialization
Pau de Jorge, Amartya Sanyal, Harkirat Behl et al.
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
Chris Cannella, Mohammadreza Soltani, Vahid Tarokh
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Xiaojie Guo, Yuanqi Du, Liang Zhao
Protecting DNNs from Theft using an Ensemble of Diverse Models
Sanjay Kariyappa, Atul Prakash, Moinuddin K Qureshi
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li, Pan Zhou, Caiming Xiong et al.
Prototypical Representation Learning for Relation Extraction
Ning Ding, Xiaobin Wang, Yao Fu et al.
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
Dipendra Misra, Qinghua Liu, Chi Jin et al.
Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami, Ali Lotfi, J Zico Kolter
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Ziyi Chen, Yi Zhou, Tengyu Xu et al.
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel Roy et al.
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou, Zizhao Zhang, Han Zhang et al.
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan, Xin Yu, Yuhang Ding et al.
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang, Zhizhou Ren, Terry Liu et al.
Quantifying Differences in Reward Functions
Adam Gleave, Michael D Dennis, Shane Legg et al.
Random Feature Attention
Hao Peng, Nikolaos Pappas, Dani Yogatama et al.
Randomized Automatic Differentiation
Deniz Oktay, Nick McGreivy, Joshua Aduol et al.
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen, Che Wang, Zijian Zhou et al.
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Daochen Zha, Wenye Ma, Lei Yuan et al.
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus, Chris J. Maddison, Andreas Krause
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
Rapid Task-Solving in Novel Environments
Samuel Ritter, Ryan Faulkner, Laurent Sartran et al.
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
NABARUN DEB, Promit Ghosal, Bodhisattva Sen
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann et al.