Papers
8,340 papers found
On Pitfalls of Test-Time Adaptation
Hao Zhao, Yuejiang Liu, Alexandre Alahi et al.
On Preemption and Learning in Stochastic Scheduling
Nadav Merlis, Hugo Richard, Flore Sentenac et al.
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline
Nicklas Hansen, Zhecheng Yuan, Yanjie Ze et al.
On Provable Copyright Protection for Generative Models
Nikhil Vyas, Sham M. Kakade, Boaz Barak
On Regularization and Inference with Label Constraints
Kaifu Wang, Hangfeng He, Tin D. Nguyen et al.
On Sampling with Approximate Transport Maps
Louis Grenioux, Alain Oliviero Durmus, Eric Moulines et al.
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
Viktor Bengs, Eyke Hüllermeier, Willem Waegeman
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Zhanke Zhou, Chenyu Zhou, Xuan Li et al.
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft et al.
On the Connection Between MPNN and Graph Transformer
Chen Cai, Truong Son Hy, Rose Yu et al.
On the Convergence of Federated Averaging with Cyclic Client Participation
Yae Jee Cho, Pranay Sharma, Gauri Joshi et al.
On the Convergence of Gradient Flow on Multi-layer Linear Models
Hancheng Min, Rene Vidal, Enrique Mallada
On the Convergence of SARSA with Linear Function Approximation
Shangtong Zhang, Remi Tachet Des Combes, Romain Laroche
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret
On the Convergence Rate of Gaussianization with Random Rotations
Felix Draxler, Lars Kühmichel, Armand Rousselot et al.
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
Wonyeol Lee, Sejun Park, Alex Aiken
On the Effectiveness of Offline RL for Dialogue Response Generation
Paloma Sodhi, Felix Wu, Ethan R. Elenberg et al.
On the Estimation of Gaussian Mixture Copula Models
Ashutosh Tewari
On the Expressive Power of Geometric Graph Neural Networks
Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis et al.
On the Forward Invariance of Neural ODEs
Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani et al.
On the Functional Similarity of Robust and Non-Robust Neural Representations
András Balogh, Márk Jelasity
On the Generalization of Multi-modal Contrastive Learning
Qi Zhang, Yifei Wang, Yisen Wang
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
On the Identifiability and Estimation of Causal Location-Scale Noise Models
Alexander Immer, Christoph Schultheiss, Julia E Vogt et al.