Papers
8,340 papers found
Provably Invariant Learning without Domain Information
Xiaoyu Tan, Lin Yong, Shengyu Zhu et al.
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthu Chidambaram, Xiang Wang, Chenwei Wu et al.
Provably Learning Object-Centric Representations
Jack Brady, Roland S. Zimmermann, Yash Sharma et al.
Proximal Causal Learning of Conditional Average Treatment Effects
Erik Sverdrup, Yifan Cui
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint
Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz et al.
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony et al.
QASA: Advanced Question Answering on Scientific Articles
Yoonjoo Lee, Kyungjae Lee, Sunghyun Park et al.
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
Xudong Lu, Kaisen Pan, Ge Yan et al.
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
Owen M Dugan, Peter Y. Lu, Rumen Dangovski et al.
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL
Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez
Quantifying Human Priors over Social and Navigation Networks
Gecia Bravo-Hermsdorff
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
Lirong Wu, Haitao Lin, Yufei Huang et al.
Quantifying the Variability Collapse of Neural Networks
Jing Xu, Haoxiong Liu
Quantile Credit Assignment
Thomas Mesnard, Wenqi Chen, Alaa Saade et al.
Quantitative Universal Approximation Bounds for Deep Belief Networks
Julian Sieber, Johann Gehringer
Quantized Distributed Training of Large Models with Convergence Guarantees
Ilia Markov, Adrian Vladu, Qi Guo et al.
Quantum 3D Graph Learning with Applications to Molecule Embedding
Ge Yan, Huaijin Wu, Junchi Yan
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
Wenjie Wu, Ge Yan, Xudong Lu et al.
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
Chenyi Zhang, Tongyang Li
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer, Daniel Scherer, Axel Plinge et al.
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation
Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa et al.
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
Adam Bouland, Yosheb M Getachew, Yujia Jin et al.
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
Pengyi Li, Jianye Hao, Hongyao Tang et al.
Raising the Cost of Malicious AI-Powered Image Editing
Hadi Salman, Alaa Khaddaj, Guillaume Leclerc et al.