Papers
One-for-All: Proposal Masked Cross-Class Anomaly Detection
Xincheng Yao, Chongyang Zhang, Ruoqi Li et al.
One Is All: Bridging the Gap between Neural Radiance Fields Architectures with Progressive Volume Distillation
Shuangkang Fang, Weixin Xu, Heng Wang et al.
On Error and Compression Rates for Prototype Rules
Omer Kerem, Roi Weiss
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object
Dongbao Yang, Yu Zhou, Xiaopeng Hong et al.
On Generalized Degree Fairness in Graph Neural Networks
Zemin Liu, Trung-Kien Nguyen, Yuan Fang
On Grounded Planning for Embodied Tasks with Language Models
Bill Yuchen Lin, Chengsong Huang, Qian Liu et al.
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta et al.
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu, Yingying Li, Bernt Schiele et al.
Online Noisy Continual Relation Learning
Guozheng Li, Peng Wang, Qiqing Luo et al.
Online Platforms and the Fair Exposure Problem under Homophily
Jakob Schoeffer, Alexander Ritchie, Keziah Naggita et al.
Online Random Feature Forests for Learning in Varying Feature Spaces
Christian Schreckenberger, Yi He, Stefan Lüdtke et al.
Online Reinforcement Learning with Uncertain Episode Lengths
Debmalya Mandal, Goran Radanovic, Jiarui Gan et al.
Online Semi-supervised Learning with Mix-Typed Streaming Features
Di Wu, Shengda Zhuo, Yu Wang et al.
Online Symbolic Regression with Informative Query
Pengwei Jin, Di Huang, Rui Zhang et al.
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang, Zongqing Lu
Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding
Liang Liao, Wenyi Chen, Zhen Zhang et al.
On Manipulating Weight Predictions in Signed Weighted Networks
Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
Ming Jin, Vanshaj Khattar, Harshal Kaushik et al.
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Tong Ye, Shijing Si, Jianzong Wang et al.
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
Sumana Basu, Marc-André Legault, Adriana Romero-Soriano et al.
On the Complexity of PAC Learning in Hilbert Spaces
Sergei Chubanov
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
Shiji Xin, Yifei Wang, Jingtong Su et al.
On the Cost of Demographic Parity in Influence Maximization
Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi
On the Effectiveness of Curriculum Learning in Educational Text Scoring
Zijie Zeng, Dragan Gasevic, Guangliang Chen
On the Effectiveness of Parameter-Efficient Fine-Tuning
Zihao Fu, Haoran Yang, Anthony Man-Cho So et al.