Oral Papers
1,594 papers found • Page 19 of 32
Conference
REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset
Xiaojun Ning, Jing Wang, Zhiyang Feng et al.
ReferSplat: Referring Segmentation in 3D Gaussian Splatting
Shuting He, Guangquan Jie, Changshuo Wang et al.
ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Lufei Liu, Tor Aamodt
Regret-Free Reinforcement Learning for Temporal Logic Specifications
R Majumdar, Mahmoud Salamati, Sadegh Soudjani
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
Josiah Kratz, Jacob Adamczyk
Reinforcement Learning with Action Chunking
Qiyang Li, Zhiyuan (Paul) Zhou, Sergey Levine
Relational Conformal Prediction for Correlated Time Series
Andrea Cini, Alexander Jenkins, Danilo Mandic et al.
Remarkable Robustness of LLMs: Stages of Inference?
Vedang Lad, Jin Hwa Lee, Wes Gurnee et al.
Rényi Neural Processes
Xuesong Wang, He Zhao, Edwin V. Bonilla
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi et al.
Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
Ruoxin Yuan, Guanhua Fang
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
Jixuan He, Chieh Lin, Lu Qi et al.
Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
Zeliang Zhang, Susan Liang, Daiki Shimada et al.
Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
Wei Wang, Haifeng Xia, Chao Huang et al.
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
Qing-Yuan Jiang, Longfei Huang, Yang Yang
Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
Lin Zhu, Tengyu Long, Xiao Wang et al.
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
Rethinking Time Encoding via Learnable Transformation Functions
Xi Chen, Yateng Tang, Jiarong Xu et al.
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
Wenbin Wang, Yongcheng Jing, Liang Ding et al.
Retrieval Augmented Time Series Forecasting
Sungwon Han, Seungeon Lee, MEEYOUNG CHA et al.
Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models
Wen-Tse Chen, Jiayu Chen, Fahim Tajwar et al.
Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape
Ruichen Chen, Keith Mills, Liyao Jiang et al.
REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke et al.
Revisiting a Design Choice in Gradient Temporal Difference Learning
Xiaochi Qian, Shangtong Zhang
Reward-Aware Proto-Representations in Reinforcement Learning
Hon Tik Tse, Siddarth Chandrasekar, Marlos C. Machado
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He, Haozheng Luo, Yan Chen et al.
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers
Min Zhao, Guande He, Yixiao Chen et al.
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
Seongho Son, William Bankes, Sayak Ray Chowdhury et al.
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
Sepehr Mousavi, Shizheng Wen, Levi Lingsch et al.
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting
Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet et al.
RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
Songhao Han, Boxiang Qiu, Yue Liao et al.
RoboScape: Physics-informed Embodied World Model
Yu Shang, Xin Zhang, Yinzhou Tang et al.
Robust and Conjugate Spatio-Temporal Gaussian Processes
William Laplante, Matias Altamirano, Andrew Duncan et al.
Robust Representation Consistency Model via Contrastive Denoising
jiachen lei, Julius Berner, Jiongxiao Wang et al.
Robust Spatio-Temporal Centralized Interaction for OOD Learning
Jiaming Ma, Binwu Wang, Pengkun Wang et al.
Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control
Ming Cheng, Hao Chen, Zhiqing Li et al.
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan, Chen Wu, Charles Ding et al.
ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks
Philip Schroeder, Ondrej Biza, Thomas Weng et al.
RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
Zhenyuan Chen, Chenxi Wang, Ningyu Zhang et al.
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Xinyu Guan, Li Lyna Zhang, Yifei Liu et al.
S4M: S4 for multivariate time series forecasting with Missing values
Jing Peng, Meiqi Yang, Qiong Zhang et al.
Sable: a Performant, Efficient and Scalable Sequence Model for MARL
Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock et al.
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
Zihan Su, Xuerui Qiu, Hongbin Xu Xu et al.
Safety-Polarized and Prioritized Reinforcement Learning
Ke Fan, Jinpeng Zhang, Xuefeng Zhang et al.
Safety Pretraining: Toward the Next Generation of Safe AI
Pratyush Maini, Sachin Goyal, Dylan Sam et al.
SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding
Yuan Zang, Zitian Tang, Junho Cho et al.
SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
Hanwen Liu, Longjiao Zhang, Rui Wang et al.
SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis
Luojie Huang, Ryan Zhang, Marisa Morakis et al.
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
Ye Sun, Hao Zhang, Henghui Ding et al.
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking
Mattia Segu, Luigi Piccinelli, Siyuan Li et al.