Oral Papers
1,594 papers found • Page 24 of 32
Conference
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li, Minghao Fu, Junxian Huang et al.
Towards Learning to Complete Anything in Lidar
Ayça Takmaz, Cristiano Saltori, Neehar Peri et al.
Towards Predicting Any Human Trajectory In Context
Ryo Fujii, Hideo Saito, Ryo Hachiuma
Towards Provable Emergence of In-Context Reinforcement Learning
Jiuqi Wang, Rohan Chandra, Shangtong Zhang
Towards Robust Zero-Shot Reinforcement Learning
Kexin ZHENG, Lauriane Teyssier, Yinan Zheng et al.
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
guangtao lyu, Chenghao Xu, Jiexi Yan et al.
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran et al.
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen, Ziyu Zhao, Gaukhar Nurbek et al.
TRACE: Temporal Grounding Video LLM via Causal Event Modeling
Yongxin Guo, Jingyu Liu, Mingda Li et al.
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang et al.
Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution
Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti
Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
Seong Hyeon Park, Jinwoo Shin
Tracking and Understanding Object Transformations
Yihong Sun, Xinyu Yang, Jennifer Sun et al.
Track-On: Transformer-based Online Point Tracking with Memory
Görkay Aydemir, Xiongyi Cai, Weidi Xie et al.
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
Eric Mazumdar, Kishan Panaganti, Laixi Shi
TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
Xiaochuan Gou, Ziyue Li, Tian Lan et al.
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Jaeyeon Kim, Kulin Shah, Vasilis Kontonis et al.
Training a Generally Curious Agent
Fahim Tajwar, Yiding Jiang, Abitha Thankaraj et al.
Training-free LLM-generated Text Detection by Mining Token Probability Sequences
Yihuai Xu, Yongwei Wang, YIFEI BI et al.
Training High Performance Spiking Neural Network by Temporal Model Calibration
Jiaqi Yan, Changping Wang, De Ma et al.
Trajectory attention for fine-grained video motion control
Zeqi Xiao, Wenqi Ouyang, Yifan Zhou et al.
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou et al.
Transformative or Conservative? Conservation laws for ResNets and Transformers
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
He Li, Haoang Chi, Mingyu Liu et al.
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang, Ethan Blaser, Hadi Daneshmand et al.
Transformers for Mixed-type Event Sequences
Felix Draxler, Yang Meng, Kai Nelson et al.
TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation
Jaeho Kim, Seulki Lee
TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
Zhihao Wang, Cooper Li, Ruichen Wang et al.
TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
Runjian Chen, Hyoungseob Park, Bo Zhang et al.
TRENDy: Temporal Regression of Effective Nonlinear Dynamics
Matthew Ricci, Guy Pelc, Zoe Piran et al.
TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
Zeyuan Yin, Xiaoming Liu
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier et al.
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer, Daniel Durstewitz
TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
BO HU, Tat-Jen Cham
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
Shibo Feng, Wanjin Feng, Xingyu Gao et al.
TS-SNN: Temporal Shift Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Qi Xu et al.
TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo et al.
TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets
Yuzhe YANG, Yifei Zhang, Minghao Wu et al.
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning
Tien Manh Luong, Khai Nguyen, Dinh Phung et al.
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
Fred Xu, Thomas Markovich
Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
Jian Hu, Zixu Cheng, Shaogang Gong et al.
Uncertainty-Sensitive Privileged Learning
Fan-Ming Luo, Lei Yuan, Yang Yu
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
Tingzhu Bi, Yicheng Pan, Xinrui Jiang et al.
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
Jiayi Yuan, Hao Li, Xinheng Ding et al.
Understanding Data Influence in Reinforcement Finetuning
Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
Understanding the Limits of Deep Tabular Methods with Temporal Shift
Haorun Cai, Han-Jia Ye
Unhackable Temporal Reward for Scalable Video MLLMs
En Yu, Kangheng Lin, Liang Zhao et al.
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
Zhigaoyuan Wang, Ying Sun, Hengshu Zhu
Unifying Specialized Visual Encoders for Video Language Models
Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez et al.