Papers
11,951 papers found
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.
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu et al.
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng, Chenyan Xiong, Payal Bajaj et al.
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee, Heeseung Kim, Chaehun Shin et al.
Privacy Implications of Shuffling
Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri et al.
Probabilistic Implicit Scene Completion
Dongsu Zhang, Changwoon Choi, Inbum Park et al.
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
Jörg Franke, Frederic Runge, Frank Hutter
Procedural generalization by planning with self-supervised world models
Ankesh Anand, Jacob C Walker, Yazhe Li et al.
Programmatic Reinforcement Learning without Oracles
Wenjie Qiu, He Zhu
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Wei Ji, Jingjing Li, Qi Bi et al.