Papers
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
Alireza F. Pour, Hassan Ashtiani
On the Role of Randomization in Adversarially Robust Classification
Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier et al.
On the Size and Approximation Error of Distilled Datasets
Alaa Maalouf, Murad Tukan, Noel Loo et al.
On the spectral bias of two-layer linear networks
Aditya Vardhan Varre, Maria-Luiza Vladarean, Loucas PILLAUD-VIVIEN et al.
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
Qi CHEN, Changjian Shui, Ligong Han et al.
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
Prateek Jaiswal, Harsha Honnappa, Vinayak Rao
On the Sublinear Regret of GP-UCB
Justin Whitehouse, Aaditya Ramdas, Steven Z. Wu
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
Jieyu Zhang, Bohan Wang, Zhengyu Hu et al.
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
Gil Kur, Eli Putterman, Alexander Rakhlin
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
Laura F. Nern, Harsh Raj, Maurice André Georgi et al.
OpenAGI: When LLM Meets Domain Experts
Yingqiang Ge, Wenyue Hua, Kai Mei et al.
OpenAssistant Conversations - Democratizing Large Language Model Alignment
Andreas Köpf, Yannic Kilcher, Dimitri von Rütte et al.
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
Tingliang Feng, Hao Shi, Xueyang Liu et al.
OpenDataVal: a Unified Benchmark for Data Valuation
Kevin Jiang, Weixin Liang, James Y Zou et al.
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
Zhiyao Zhou, Sheng Zhou, Bochao Mao et al.
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
Isabella Liu, Linghao Chen, Ziyang Fu et al.
Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee, Fadime Sener, Shugao Ma et al.
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
Huijie Wang, Tianyu Li, Yang Li et al.
OpenMask3D: Open-Vocabulary 3D Instance Segmentation
Ayca Takmaz, Elisabetta Fedele, Robert Sumner et al.
OpenProteinSet: Training data for structural biology at scale
Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan et al.
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Minghua Liu, Ruoxi Shi, Kaiming Kuang et al.
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Cheng Tan, Siyuan Li, Zhangyang Gao et al.
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
Hejie Cui, Xinyu Fang, Zihan Zhang et al.
Operation-Level Early Stopping for Robustifying Differentiable NAS
Shen Jiang, Zipeng Ji, Guanghui Zhu et al.
Operator Learning with Neural Fields: Tackling PDEs on General Geometries
Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï et al.