Papers
11,015 papers found
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
Ziang Yan, Yiwen Guo, Jian Liang et al.
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design
Xiufeng Yang, Tanuj Aasawat, Kazuki Yoshizoe
Practical Real Time Recurrent Learning with a Sparse Approximation
Jacob Menick, Erich Elsen, Utku Evci et al.
Predicting Classification Accuracy When Adding New Unobserved Classes
Yuli Slavutsky, Yuval Benjamini
Predicting Inductive Biases of Pre-Trained Models
Charles Lovering, Rohan Jha, Tal Linzen et al.
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj et al.
Prediction and generalisation over directed actions by grid cells
Changmin Yu, Timothy Behrens, Neil Burgess
Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam et al.
Primal Wasserstein Imitation Learning
Robert Dadashi, Leonard Hussenot, Matthieu Geist et al.
Private Image Reconstruction from System Side Channels Using Generative Models
Yuanyuan Yuan, Shuai Wang, Junping Zhang
Private Post-GAN Boosting
Marcel Neunhoeffer, Steven Wu, Cynthia Dwork
Probabilistic Numeric Convolutional Neural Networks
Marc Anton Finzi, Roberto Bondesan, Max Welling
Probing BERT in Hyperbolic Spaces
Boli Chen, Yao Fu, Guangwei Xu et al.
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.