Papers
11,015 papers found
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
Miao Lu, Yifei Min, Zhaoran Wang et al.
PGrad: Learning Principal Gradients For Domain Generalization
Zhe Wang, Jake Grigsby, Yanjun Qi
Phase2vec: dynamical systems embedding with a physics-informed convolutional network
Matt Ricci, Noa Moriel, Zoe Piran et al.
Phase transition for detecting a small community in a large network
Jiashun Jin, Tracy Ke, Paxton Turner et al.
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans et al.
PiFold: Toward effective and efficient protein inverse folding
Zhangyang Gao, Cheng Tan, Stan Z. Li
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
Onno Eberhard, Jakob Hollenstein, Cristina Pinneri et al.
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
PeiFeng Wang, Aaron Chan, Filip Ilievski et al.
Pitfalls of Gaussians as a noise distribution in NCE
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari et al.
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
Simone Zini, Alex Gomez-Villa, Marco Buzzelli et al.
Planning Goals for Exploration
Edward S. Hu, Richard Chang, Oleh Rybkin et al.
Planning with Large Language Models for Code Generation
Shun Zhang, Zhenfang Chen, Yikang Shen et al.
Planning with Sequence Models through Iterative Energy Minimization
Hongyi Chen, Yilun Du, Yiye Chen et al.
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks
Xiang Wang, Annie N. Wang, Mo Zhou et al.
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen, Weiran Yao, Xiangchen Song et al.
Policy-Based Self-Competition for Planning Problems
Jonathan Pirnay, Quirin Göttl, Jakob Burger et al.
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
Haichao Zhang, Wei Xu, Haonan Yu
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
Penghao Wu, Li Chen, Hongyang Li et al.
POPGym: Benchmarking Partially Observable Reinforcement Learning
Steven Morad, Ryan Kortvelesy, Matteo Bettini et al.
Population-size-Aware Policy Optimization for Mean-Field Games
Pengdeng Li, Xinrun Wang, Shuxin Li et al.
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul, Maggie Wang, James Zou
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans, Phillip Isola
PowerQuant: Automorphism Search for Non-Uniform Quantization
Edouard YVINEC, Arnaud Dapogny, Matthieu Cord et al.
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
Yulun Wu, Rob Barton, Zichen Wang et al.
Predictive Inference with Feature Conformal Prediction
Jiaye Teng, Chuan Wen, Dinghuai Zhang et al.