Papers
11,951 papers found
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.
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
Xiuying Wei, Ruihao Gong, Yuhang Li et al.
Quadtree Attention for Vision Transformers
Shitao Tang, Jiahui Zhang, Siyu Zhu et al.
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation
Yang Zhao, Hao Zhang
QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS
Viet Vo, Ehsan M Abbasnejad, Damith Ranasinghe
Query Embedding on Hyper-Relational Knowledge Graphs
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez et al.
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Yingwei Li, Tiffany Chen, Maya Kabkab et al.
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Shengyao Lu, Bang Liu, Keith G. Mills et al.
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization
Hongyi Yao, Pu Li, Jian Cao et al.