Papers
11,015 papers found
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
Subha Maity, Debarghya Mukherjee, Moulinath Banerjee et al.
Preference Transformer: Modeling Human Preferences using Transformers for RL
Changyeon Kim, Jongjin Park, Jinwoo Shin et al.
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
Guande He, Jianfei Chen, Jun Zhu
Pre-training via Denoising for Molecular Property Prediction
Sheheryar Zaidi, Michael Schaarschmidt, James Martens et al.
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
Sasha Salter, Kristian Hartikainen, Walter Goodwin et al.
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
Andrew Lowy, Meisam Razaviyayn
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
Hai Ci, Mickel Liu, Xuehai Pan et al.
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
Martin Pawelczyk, Teresa Datta, Johan Van den Heuvel et al.
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Renhao Wang, Jiayuan Mao, Joy Hsu et al.
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
Jin Li, Yaoming Wang, XIAOPENG ZHANG et al.
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
Ronghang Zhu, Ronghang Zhu, Xiang Yu et al.
Progressive Prompts: Continual Learning for Language Models
Anastasia Razdaibiedina, Yuning Mao, Rui Hou et al.
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
Chunwei Ma, Zhanghexuan Ji, Ziyun Huang et al.
Progress measures for grokking via mechanistic interpretability
Neel Nanda, Lawrence Chan, Tom Lieberum et al.
Promptagator: Few-shot Dense Retrieval From 8 Examples
Zhuyun Dai, Vincent Y Zhao, Ji Ma et al.
Prompting GPT-3 To Be Reliable
Chenglei Si, Zhe Gan, Zhengyuan Yang et al.
Prompt-to-Prompt Image Editing with Cross-Attention Control
Amir Hertz, Ron Mokady, Jay Tenenbaum et al.
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Quentin Bouniot, Romaric Audigier, Angelique Loesch et al.
Protein Representation Learning by Geometric Structure Pretraining
Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb et al.
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang et al.
Protein Sequence and Structure Co-Design with Equivariant Translation
Chence Shi, Chuanrui Wang, Jiarui Lu et al.
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han, Yaru Hao, Li Dong et al.
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks
Jesse Farebrother, Joshua Greaves, Rishabh Agarwal et al.
Provable Defense Against Geometric Transformations
Rem Yang, Jacob Laurel, Sasa Misailovic et al.