Papers
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
Peiyan Dong, LEI LU, Chao Wu et al.
PAC Learning Linear Thresholds from Label Proportions
Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Qiang Zhou, Weize Li, Lihan Jiang et al.
PaintSeg: Painting Pixels for Training-free Segmentation
Xiang Li, Chung-Ching Lin, Yinpeng Chen et al.
Pairwise Causality Guided Transformers for Event Sequences
Xiao Shou, Debarun Bhattacharjya, Tian Gao et al.
Pairwise GUI Dataset Construction Between Android Phones and Tablets
han hu, Haolan Zhan, Yujin Huang et al.
PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas
Zheng Chen, Yan-Pei Cao, Yuan-Chen Guo et al.
PAPR: Proximity Attention Point Rendering
Yanshu Zhang, Shichong Peng, Alireza Moazeni et al.
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Lu Yan, Zhuo Zhang, Guanhong Tao et al.
Parallel-mentoring for Offline Model-based Optimization
Can (Sam) Chen, Christopher Beckham, Zixuan Liu et al.
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon et al.
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Wei Fang, Zhaofei Yu, Zhaokun Zhou et al.
Parallel Submodular Function Minimization
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang et al.
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
Qiong Wu, Wei Yu, Yiyi Zhou et al.
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Haixin Wang, Xinlong Yang, Jianlong Chang et al.
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing
Yongrui Chen, Shenyu Zhang, Guilin Qi et al.
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
Suyoung Lee, Myungsik Cho, Youngchul Sung
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
Kalpesh Krishna, Yixiao Song, Marzena Karpinska et al.
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
Benjamin Edelman, Surbhi Goel, Sham Kakade et al.
Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions
Eric Zelikman, Qian Huang, Gabriel Poesia et al.
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage
Yuheng Jia, Fuchao Yang, Yongqiang Dong
Partial Matrix Completion
Elad Hazan, Adam Tauman Kalai, Varun Kanade et al.
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation
Jun-Yi Hang, Min-Ling Zhang