Papers
11,015 papers found
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.
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.
Plant 'n' Seek: Can You Find the Winning Ticket?
Jonas Fischer, Rebekka Burkholz
POETREE: Interpretable Policy Learning with Adaptive Decision Trees
Alizée Pace, Alex Chan, Mihaela van der Schaar
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini, Andreas Terzis
Policy Gradients Incorporating the Future
David Venuto, Elaine Lau, Doina Precup et al.
Policy improvement by planning with Gumbel
Ivo Danihelka, Arthur Guez, Julian Schrittwieser et al.
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar, Alexander Levine, Soheil Feizi
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
Zhaoqi Leng, Mingxing Tan, Chenxi Liu et al.
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
Chao-Hong Tan, Qian Chen, Wen Wang et al.
Possibility Before Utility: Learning And Using Hierarchical Affordances
Robby Costales, Shariq Iqbal, Fei Sha
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
Julius Adebayo, Michael Muelly, Harold Abelson et al.
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Zhen Xiang, David Miller, George Kesidis
Practical Conditional Neural Process Via Tractable Dependent Predictions
Stratis Markou, James Requeima, Wessel Bruinsma et al.
Practical Integration via Separable Bijective Networks
Christopher M Bender, Patrick Emmanuel, Michael K. Reiter et al.
Predicting Physics in Mesh-reduced Space with Temporal Attention
XU HAN, Han Gao, Tobias Pfaff et al.
Pretrained Language Model in Continual Learning: A Comparative Study
Tongtong Wu, Massimo Caccia, Zhuang Li et al.