Oral Papers
1,594 papers found • Page 16 of 32
Conference
Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
Chaohao Yuan, Maoji Wen, Ercan KURUOGLU et al.
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
Hongbin Pei, Jingxin Hai, Yu Li et al.
Non-Stationary Structural Causal Bandits
Yeahoon Kwon, Yesong Choe, Soungmin Park et al.
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.
Normalizing Flows are Capable Generative Models
Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran et al.
NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
Cosmin Bercea, Jun Li, Philipp Raffler et al.
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
Weikuo Wang, Yue Liao, Huan Luo
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Haoqi Wu, Wei Dai, Ming Xu et al.
OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework
Junliang Chen, Huaiyuan Xu, Yi Wang et al.
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
Vivek Myers, Bill Zheng, Benjamin Eysenbach et al.
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue, Yong Liu, Hao Wang et al.
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li et al.
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
Hao Zhong, Muzhi Zhu, Zongze Du et al.
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
Ziqiao Peng, Jiwen Liu, Haoxian Zhang et al.
OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions
Yuanhao Cai, HE Zhang, Xi Chen et al.
On Differential Privacy for Adaptively Solving Search Problems via Sketching
Shiyuan Feng, Ying Feng, George Li et al.
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu et al.
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
Christina Sartzetaki, Gemma Roig, Cees G Snoek et al.
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
Yujing Sun, Lingchen Sun, Shuaizheng Liu et al.
One-Step Generalization Ratio Guided Optimization for Domain Generalization
Sumin Cho, Dongwon Kim, Kwangsu Kim
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
Zijian Guo, İlker Işık, H M Sabbir Ahmad et al.
One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding
Zheyu Zhang, Ziqi Pang, Shixing Chen et al.
On Linear Mode Connectivity of Mixture-of-Experts Architectures
Viet-Hoang Tran, Van Hoan Trinh, Khanh-Vinh Bui et al.
Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
Xi Zhang, Yanyi Li, Yisi Luo et al.
Online Segment Any 3D Thing as Instance Tracking
Hanshi Wang, Cai Zijian, Jin Gao et al.
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
Mark H. Huang, Lin Geng Foo, Christian Theobalt et al.
Online Time Series Forecasting with Theoretical Guarantees
Zijian Li, Changze Zhou, Minghao Fu et al.
On Path to Multimodal Generalist: General-Level and General-Bench
Hao Fei, Yuan Zhou, Juncheng Li et al.
On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity
Quentin Bertrand, Anne Gagneux, Mathurin Massias et al.
On the Identification of Temporal Causal Representation with Instantaneous Dependence
Zijian Li, Yifan Shen, Kaitao Zheng et al.
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
Yisong Fu, Fei Wang, Zezhi Shao et al.
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
GUOJUN XIONG, Shufan Wang, Daniel Jiang et al.
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
Zaige Fei, Fan Xu, Junyuan Mao et al.
OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model
Zhenhao Zhang, Ye Shi, Lingxiao Yang et al.
OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
Hao Luo, Zihao Yue, Wanpeng Zhang et al.
Optimal Information Retention for Time-Series Explanations
Jinghang Yue, Jing Wang, Lu Zhang et al.
Optimal Mistake Bounds for Transductive Online Learning
Zachary Chase, Steve Hanneke, Shay Moran et al.
Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics
Mohamad Al Ahdab, john leth, Zheng-Hua Tan
Optimal Transport for Time Series Imputation
Hao Wang, zhengnan li, Haoxuan Li et al.
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
Hongjoon Ahn, Heewoong Choi, Jisu Han et al.
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
Jixian Zhou, Fang DONG(董方), Ruijun Huang et al.
OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining
Bingzhi Chen, Sisi Fu, Xiaocheng Fang et al.
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill, Brian Hill, Aria Masoomi et al.
Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis
Tony Yousefnezhad
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
Zhiyuan Yan, Jiangming Wang, Peng Jin et al.
OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata
Oussema Dhaouadi, Riccardo Marin, Johannes Meier et al.
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
Juan Formanek, Omayma Mahjoub, Louay Nessir et al.
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
Zuyan Liu, Yuhao Dong, Ziwei Liu et al.
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
Jingli Lin, Chenming Zhu, Runsen Xu et al.
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models
Anshuman Chhabra, Bo Li, Jian Chen et al.