Papers
Participatory Personalization in Classification
Hailey Joren, Chirag Nagpal, Katherine A. Heller et al.
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow
Ziheng Cheng, Shiyue Zhang, Longlin Yu et al.
Parts of Speech–Grounded Subspaces in Vision-Language Models
James Oldfield, Christos Tzelepis, Yannis Panagakis et al.
Passive learning of active causal strategies in agents and language models
Andrew Lampinen, Stephanie Chan, Ishita Dasgupta et al.
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng et al.
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Mostafa Dehghani, Basil Mustafa, Josip Djolonga et al.
Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee
Yunzhang Zhu, Renxiong Liu
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
Tolga Ergen, Mert Pilanci
Paxion: Patching Action Knowledge in Video-Language Foundation Models
Zhenhailong Wang, Ansel Blume, Sha Li et al.
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
Hang Lou, Siran Li, Hao Ni
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe, Bas Veeling, Paris Perdikaris et al.
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Yuhan Ding, Fukun Yin, Jiayuan Fan et al.
PDP: Parameter-free Differentiable Pruning is All You Need
Minsik Cho, Saurabh Adya, Devang Naik
Penalising the biases in norm regularisation enforces sparsity
Etienne Boursier, Nicolas Flammarion
Pengi: An Audio Language Model for Audio Tasks
Soham Deshmukh, Benjamin Elizalde, Rita Singh et al.
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
Ran Ran, Nuo Xu, Tao Liu et al.
Percentile Criterion Optimization in Offline Reinforcement Learning
Cyrus Cousins, Elita Lobo, Marek Petrik et al.
Perception Test: A Diagnostic Benchmark for Multimodal Video Models
Viorica Patraucean, Lucas Smaira, Ankush Gupta et al.
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
Austin Xu, Andrew McRae, Jingyan Wang et al.
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
Dror Freirich, Tomer Michaeli, Ron Meir
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen et al.
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Drew Linsley, Ivan F Rodriguez Rodriguez, Thomas FEL et al.
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu et al.