Papers
On-Device Training Under 256KB Memory
Ji Lin, Ligeng Zhu, Wei-Ming Chen et al.
On Divergence Measures for Bayesian Pseudocoresets
Balhae Kim, Jungwon Choi, Seanie Lee et al.
On Efficient Online Imitation Learning via Classification
Yichen Li, Chicheng Zhang
One for All: Simultaneous Metric and Preference Learning over Multiple Users
Gregory Canal, Blake Mason, Ramya Korlakai Vinayak et al.
One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration
Fan Yang, Lin Guo, Zhi Chen et al.
On Elimination Strategies for Bandit Fixed-Confidence Identification
Andrea Tirinzoni, Rémy Degenne
On Embeddings for Numerical Features in Tabular Deep Learning
Yury Gorishniy, Ivan Rubachev, Artem Babenko
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations
Yiming Zhu, Hongyu Liu, Yibing Song et al.
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Markus Hiller, Mehrtash Harandi, Tom Drummond
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
Xingyi He, Jiaming Sun, Yuang Wang et al.
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
Ning Xu, Congyu Qiao, Jiaqi Lv et al.
One-shot Neural Backdoor Erasing via Adversarial Weight Masking
Shuwen Chai, Jinghui Chen
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov, Polina Kirichenko, Nate Gruver et al.
On Gap-dependent Bounds for Offline Reinforcement Learning
Xinqi Wang, Qiwen Cui, Simon S Du
On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni, Gabriel Peyré, Francois-Xavier Vialard
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
Marcus Nordstrom, Henrik Hult, Fredrik Löfman et al.
On Infinite Separations Between Simple and Optimal Mechanisms
Alexandros Psomas, Ariel Schvartzman Cohenca, S. Weinberg
On Kernelized Multi-Armed Bandits with Constraints
Xingyu Zhou, Bo Ji
On Learning and Refutation in Noninteractive Local Differential Privacy
Alexander Edmonds, Aleksandar Nikolov, Toniann Pitassi
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui, Gezheng Xu, Qi CHEN et al.
On Leave-One-Out Conditional Mutual Information For Generalization
Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar et al.
Online Agnostic Multiclass Boosting
Vinod Raman, Ambuj Tewari
Online Algorithms for the Santa Claus Problem
Max Springer, MohammadTaghi Hajiaghayi, Debmalya Panigrahi et al.
Online Allocation and Learning in the Presence of Strategic Agents
Steven Yin, Shipra Agrawal, Assaf J. Zeevi