All Papers

Optimistic Bayesian Optimization with Unknown Constraints

Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song et al.

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization

Yuanzhao Zhai, Yiying Li, Zijian Gao et al.

Optimistic Multi-Agent Policy Gradient

Wenshuai Zhao, Yi Zhao, Zhiyuan Li et al.

Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property

I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning

Chao Li, Yupeng Zhang, Jianqi Wang et al.

Optimization-based Uncertainty Attribution Via Learning Informative Perturbations

Hanjing Wang, Bashirul Azam Biswas, Qiang Ji

Optimization without Retraction on the Random Generalized Stiefel Manifold

Simon Vary, Pierre Ablin, Bin Gao et al.

Optimize & Reduce: A Top-Down Approach for Image Vectorization

Or Hirschorn, Amir Jevnisek, Shai Avidan

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

Song Jintao, Wenqi Lu, Yunwen Lei et al.

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

Yixiao Wang, Chen Tang, Lingfeng Sun et al.

Optimizing Diffusion Noise Can Serve As Universal Motion Priors

Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan et al.

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition

Shreyank Narayana Gowda, Anurag Arnab, Jonathan Huang

Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging

Mahmoud Afifi, Zhenhua Hu, Liang Liang

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaska, Antonin Kucera, Vojtěch Kůr et al.

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

Mojtaba Elahi, Jussi Rintanen

Optimizing Watermarks for Large Language Models

Bram Wouters

OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models

Ali AhmadiTeshnizi, Wenzhi Gao, Madeleine Udell

Oracle Efficient Algorithms for Groupwise Regret

Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan et al.

Orbit-Equivariant Graph Neural Networks

Matthew Morris, Bernardo Grau, Ian Horrocks

Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation

Hongwei Yan, Liyuan Wang, Kaisheng Ma et al.

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning

Noor Ahmed, Anna Kukleva, Bernt Schiele

Order-Preserving GFlowNets

Yihang Chen, Lukas Mauch

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

Geng Xinyu, Jiaming Wang, Jiawei Gong et al.

Orthogonal Adaptation for Modular Customization of Diffusion Models

Ryan Po, Guandao Yang, Kfir Aberman et al.

Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty

Kaizhao Liu, Jose Blanchet, Lexing Ying et al.

Orthogonal Dictionary Guided Shape Completion Network for Point Cloud

Pingping Cai, Deja Scott, Xiaoguang Li et al.

OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-resolution

Yang Wang, Tao Zhang

Osmosis: RGBD Diffusion Prior for Underwater Image Restoration

Opher Bar Nathan, Deborah Steinberger-Levy, Tali Treibitz et al.

OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos

Ziyang Song, Jinxi Li, Bo Yang

Osprey: Pixel Understanding with Visual Instruction Tuning

Yuqian Yuan, Wentong Li, Jian liu et al.

OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization

Xiang Meng, Shibal Ibrahim, Kayhan Behdin et al.

OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition

Tongjia Chen, Hongshan Yu, Zhengeng Yang et al.

OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport

Liangliang Shi, Jack Fan, Junchi Yan

OTE: Exploring Accurate Scene Text Recognition Using One Token

Jianjun Xu, Yuxin Wang, Hongtao Xie et al.

Other Papers

OTMatch: Improving Semi-Supervised Learning with Optimal Transport

Zhiquan Tan, Kaipeng Zheng, Weiran Huang

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

Kwanyoung Kim, Yujin Oh, Jong Chul Ye

Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD)

Marko Savic, Guoying Zhao

Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata

Dongsu Zhang, Francis Williams, Žan Gojčič et al.

Outlier-aware Slicing for Post-Training Quantization in Vision Transformer

Yuexiao Ma, Huixia Li, Xiawu Zheng et al.

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo et al.

Outlier-robust Kalman Filtering through Generalised Bayes

Gerardo Duran-Martin, Matias Altamirano, Alex Shestopaloff et al.

Outlier-Robust Subsampling Techniques for Persistent Homology

Bernadette J. Stolz

Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization

Elan Rosenfeld, Andrej Risteski

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity

Lu Yin, You Wu, Zhenyu Zhang et al.

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors

Tao Lin, lijia Yu, Gaojie Jin et al.

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness

Fran Jelenić, Josip Jukić, Martin Tutek et al.

Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning

Wenjun Miao, Guansong Pang, Xiao Bai et al.

Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble

Chenhui Xu, Fuxun Yu, Zirui Xu et al.

Out-of-Distribution Detection with Negative Prompts

Jun Nie, Yonggang Zhang, Zhen Fang et al.