Papers
11,015 papers found
Over-Training with Mixup May Hurt Generalization
Zixuan Liu, Ziqiao Wang, Hongyu Guo et al.
Packed Ensembles for efficient uncertainty estimation
Olivier Laurent, Adrien Lafage, Enzo Tartaglione et al.
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen et al.
PAC Reinforcement Learning for Predictive State Representations
Wenhao Zhan, Masatoshi Uehara, Wen Sun et al.
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen, Xiao Wang, Soravit Changpinyo et al.
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
James Oldfield, Christos Tzelepis, Yannis Panagakis et al.
Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
Hong-Min Chu, Jonas Geiping, Liam H Fowl et al.
Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang, Tolga Ergen, Mert Pilanci
Parameter-Efficient Fine-Tuning Design Spaces
Jiaao Chen, Aston Zhang, Xingjian Shi et al.
Parametrizing Product Shape Manifolds by Composite Networks
Josua Sassen, Klaus Hildebrandt, Martin Rumpf et al.
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
Yongqiang Chen, Kaiwen Zhou, Yatao Bian et al.
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen et al.
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
Yan Yan, Yuhong Guo
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Fan Chen, Yu Bai, Song Mei
Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong, Xi Wang, LIN Yong et al.
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
Ondrej Bohdal, Lukas Balles, Martin Wistuba et al.
PatchDCT: Patch Refinement for High Quality Instance Segmentation
Qinrou Wen, Jirui Yang, Xue Yang et al.
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Shaofeng Zhang, Feng Zhu, Rui Zhao et al.
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Toygun Basaklar, Suat Gumussoy, Umit Ogras
PEER: A Collaborative Language Model
Timo Schick, Jane A. Yu, Zhengbao Jiang et al.
Perfectly Secure Steganography Using Minimum Entropy Coupling
Christian Schroeder de Witt, Samuel Sokota, J Zico Kolter et al.
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
Mehdi Setayesh, Xiaoxiao Li, Vincent W.S. Wong
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs
Haotian Fu, Jiayu Yao, Omer Gottesman et al.
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Jian Xu, Xinyi Tong, Shao-Lun Huang
Personalized Reward Learning with Interaction-Grounded Learning (IGL)
Jessica Maghakian, Paul Mineiro, Kishan Panaganti et al.