Papers
11,955 papers found
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models
Jinmeng Wu, Chong Cao, Hao Zhang et al.
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Jiawei Liang, Siyuan Liang, Aishan Liu et al.
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
Chengxing Jia, Chenxiao Gao, Hao Yin et al.
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters
Jingyu Chen, Runlin Lei, Zhewei Wei
Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Peihao Wang, Shenghao Yang, Shu Li et al.
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng, Zichao Yue, Zhiru Zhang
Poly-View Contrastive Learning
Amitis Shidani, R Devon Hjelm, Jason Ramapuram et al.
PolyVoice: Language Models for Speech to Speech Translation
Qian qian Dong, Zhiying Huang, Qiao Tian et al.
Pooling Image Datasets with Multiple Covariate Shift and Imbalance
Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh
PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION
Jia-Wang Bian, Wenjing Bian, Victor Adrian Prisacariu et al.
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
Dawei Zhu, Nan Yang, Liang Wang et al.
Pose Modulated Avatars from Video
Chunjin Song, Bastian Wandt, Helge Rhodin
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
Paul Hagemann, Johannes Hertrich, Fabian Altekrüger et al.
PosterLlama: Bridging Design Ability of Langauge Model to Content-Aware Layout Generation
Jaejung Seol, SeoJun Kim, Jaejun Yoo
Post-hoc bias scoring is optimal for fair classification
Wenlong Chen, Yegor Klochkov, Yang Liu
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control
Rishubh Parihar, Sachidanand VS, Sabariswaran Mani et al.
Predicting Emergent Abilities with Infinite Resolution Evaluation
Shengding Hu, Xin Liu, Xu Han et al.
Prediction Error-based Classification for Class-Incremental Learning
Michał Zając, Tinne Tuytelaars, Gido M van de Ven
Prediction without Preclusion: Recourse Verification with Reachable Sets
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng et al.
Predictive auxiliary objectives in deep RL mimic learning in the brain
Ching Fang, Kim Stachenfeld
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou, Robert Bamler, Charley M Wu et al.
Preservation, conservation and phonetic study of the voices of Italian poets: A study on the seven years of the VIP archive
Federico Lo Iacono, Valentina Colonna, Antonio Romano
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
Junwei Su, Difan Zou, Chuan Wu
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
Hao Luo, Bohan Zhou, Zongqing Lu
Pre-Training and Fine-Tuning Generative Flow Networks
Ling Pan, Moksh Jain, Kanika Madan et al.