Papers
11,015 papers found
Omnigrok: Grokking Beyond Algorithmic Data
Ziming Liu, Eric J Michaud, Max Tegmark
On Accelerated Perceptrons and Beyond
Guanghui Wang, Rafael Hanashiro, Etash Kumar Guha et al.
On Achieving Optimal Adversarial Test Error
Justin D. Li, Matus Telgarsky
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
Zi Lin, Du Phan, Panupong Pasupat et al.
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
Shutong Wu, Sizhe Chen, Cihang Xie et al.
One Transformer Can Understand Both 2D & 3D Molecular Data
Shengjie Luo, Tianlang Chen, Yixian Xu et al.
Online Bias Correction for Task-Free Continual Learning
Aristotelis Chrysakis, Marie-Francine Moens
Online Boundary-Free Continual Learning by Scheduled Data Prior
Hyunseo Koh, Minhyuk Seo, Jihwan Bang et al.
Online Low Rank Matrix Completion
Soumyabrata Pal, Prateek Jain
On Pre-training Language Model for Antibody
Danqing Wang, Fei YE, Hao Zhou
On Representing Linear Programs by Graph Neural Networks
Ziang Chen, Jialin Liu, Xinshang Wang et al.
On Representing Mixed-Integer Linear Programs by Graph Neural Networks
Ziang Chen, Jialin Liu, Xinshang Wang et al.
On the complexity of nonsmooth automatic differentiation
Jerome Bolte, Ryan Boustany, Edouard Pauwels et al.
On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration
Zijian Liu, Ta Duy Nguyen, Alina Ene et al.
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning
Sicong Liu, Xi Sheryl Zhang, Yushuo Li et al.
On the duality between contrastive and non-contrastive self-supervised learning
Quentin Garrido, Yubei Chen, Adrien Bardes et al.
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
Jianhong Bai, Zuozhu Liu, Hualiang Wang et al.
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang et al.
On the Importance and Applicability of Pre-Training for Federated Learning
Hong-You Chen, Cheng-Hao Tu, Ziwei Li et al.
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations
Zhijie Nie, Richong Zhang, Yongyi Mao
On the Performance of Temporal Difference Learning With Neural Networks
HAOXING TIAN, Ioannis Paschalidis, Alex Olshevsky
On the Perils of Cascading Robust Classifiers
Ravi Mangal, Zifan Wang, Chi Zhang et al.
On The Relative Error of Random Fourier Features for Preserving Kernel Distance
Kuan Cheng, Shaofeng H.-C. Jiang, Luojian Wei et al.