Papers
11,951 papers found
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
Ziming Wang, Nan Xue, Ling Lei et al.
Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization
Kazusato Oko, Taiji Suzuki, Atsushi Nitanda et al.
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
Yonggan Fu, Shunyao Zhang, Shang Wu et al.
Path Auxiliary Proposal for MCMC in Discrete Space
Haoran Sun, Hanjun Dai, Wei Xia et al.
Pathfinder: Parallel quasi-Newton variational inference
Lu Zhang, Bob Carpenter, Andrew Gelman et al.
Path Integral Sampler: A Stochastic Control Approach For Sampling
Qinsheng Zhang, Yongxin Chen
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning
Seng Pei Liew, Tsubasa Takahashi, Michihiko Ueno
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently
Xiaohan Chen, Jason Zhang, Zhangyang Wang
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
Linrui Zhang, Li Shen, Long Yang et al.
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac et al.
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method
Ziwei Guan, Tengyu Xu, Yingbin Liang
Permutation-Based SGD: Is Random Optimal?
Shashank Rajput, Kangwook Lee, Dimitris Papailiopoulos
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafał Szlendak, Alexander Tyurin, Peter Richtárik
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
Chenjia Bai, Lingxiao Wang, Zhuoran Yang et al.
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage
Masatoshi Uehara, Wen Sun
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
Phase Collapse in Neural Networks
Florentin Guth, John Zarka, Stéphane Mallat
Phenomenology of Double Descent in Finite-Width Neural Networks
Sidak Pal Singh, Aurelien Lucchi, Thomas Hofmann et al.
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
Siyan Liu, Pei Zhang, Dan Lu et al.
Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters
Coral Haggiag, Sigal Oren, Ella Segev
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Haobo Wang, Ruixuan Xiao, Yixuan Li et al.
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
Cheng Wan, Youjie Li, Cameron R. Wolfe et al.
Pix2seq: A Language Modeling Framework for Object Detection
Ting Chen, Saurabh Saxena, Lala Li et al.
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Beidi Chen, Tri Dao, Kaizhao Liang et al.
Planning in Stochastic Environments with a Learned Model
Ioannis Antonoglou, Julian Schrittwieser, Sherjil Ozair et al.