Papers
11,015 papers found
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu, Hanchen Wang, Weiyang Liu et al.
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
Yu Meng, Chenyan Xiong, Payal Bajaj et al.
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior
Sang-gil Lee, Heeseung Kim, Chaehun Shin et al.
Privacy Implications of Shuffling
Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri et al.
Probabilistic Implicit Scene Completion
Dongsu Zhang, Changwoon Choi, Inbum Park et al.
Procedural generalization by planning with self-supervised world models
Ankesh Anand, Jacob C Walker, Yazhe Li et al.
Programmatic Reinforcement Learning without Oracles
Wenjie Qiu, He Zhu
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection
Wei Ji, Jingjing Li, Qi Bi et al.
Proof Artifact Co-Training for Theorem Proving with Language Models
Jesse Michael Han, Jason Rute, Yuhuai Wu et al.
Properties from mechanisms: an equivariance perspective on identifiable representation learning
Kartik Ahuja, Jason Hartford, Yoshua Bengio
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
Milad Alizadeh, Shyam A. Tailor, Luisa M Zintgraf et al.
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Boris N. Oreshkin, Florent Bocquelet, Felix G. Harvey et al.
Prototype memory and attention mechanisms for few shot image generation
Tianqin Li, Zijie Li, Andrew Luo et al.
Prototypical Contrastive Predictive Coding
Kyungmin Lee
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng, Shaobo Han, Simon Shaolei Du
Provable Learning-based Algorithm For Sparse Recovery
Xinshi Chen, Haoran Sun, Le Song
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games
Chao Ma, Lexing Ying
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics
Yonathan Efroni, Dipendra Misra, Akshay Krishnamurthy et al.
Provably Robust Adversarial Examples
Dimitar Iliev Dimitrov, Gagandeep Singh, Timon Gehr et al.
Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks
Arthur da Cunha, Emanuele Natale, Laurent Viennot
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series
Paul Jeha, Michael Bohlke-Schneider, Pedro Mercado et al.
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
Can Wang, Sheng Jin, Yingda Guan et al.
Pseudo Numerical Methods for Diffusion Models on Manifolds
Luping Liu, Yi Ren, Zhijie Lin et al.
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
Shizhan Liu, Hang Yu, Cong Liao et al.