Papers
PAC Prediction Sets for Meta-Learning
Sangdon Park, Edgar Dobriban, Insup Lee et al.
PALBERT: Teaching ALBERT to Ponder
Nikita Balagansky, Daniil Gavrilov
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
Onur Beker, Mohammad Mohammadi, Amir Zamir
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
Hao Liu, Tom Zahavy, Volodymyr Mnih et al.
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network
Keyu Yan, Man Zhou, Jie Huang et al.
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates
Junlong Lyu, Zhitang Chen, Chang Feng et al.
Parallel Tempering With a Variational Reference
Nikola Surjanovic, Saifuddin Syed, Alexandre Bouchard-Côté et al.
Parameter-Efficient Masking Networks
Yue Bai, Huan Wang, Xu Ma et al.
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu, Dongsheng Li, Hansu Gu et al.
Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang, Ashok Cutkosky
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Jasper Tan, Blake Mason, Hamid Javadi et al.
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
Adrien Vacher, Francois-Xavier Vialard
Parametrically Retargetable Decision-Makers Tend To Seek Power
Alex Turner, Prasad Tadepalli
Paraphrasing Is All You Need for Novel Object Captioning
Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan et al.
Pareto Set Learning for Expensive Multi-Objective Optimization
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang et al.
Partial Identification of Treatment Effects with Implicit Generative Models
Vahid Balazadeh Meresht, Vasilis Syrgkanis, Rahul G Krishnan
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
Yuchen Rao, Yinyu Nie, Angela Dai
Patching open-vocabulary models by interpolating weights
Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre et al.
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation
Cem Anil, Ashwini Pokle, Kaiqu Liang et al.
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
Louis Béthune, Thibaut Boissin, Mathieu Serrurier et al.
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz et al.
PDSketch: Integrated Domain Programming, Learning, and Planning
Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum et al.
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding
Minghao Xu, Zuobai Zhang, Jiarui Lu et al.
Peer Prediction for Learning Agents
Shi Feng, Fang-Yi Yu, Yiling Chen
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop
Weixia Zhang, Dingquan Li, Xiongkuo Min et al.