All Papers

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Fei Ye, Adrian Bors

Task-Free Dynamic Sparse Vision Transformer for Continual Learning

Fei Ye, Adrian Bors

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models

Yongxian Wei, Zixuan Hu, Li Shen et al.

TaskLAMA: Probing the Complex Task Understanding of Language Models

Quan Yuan, Mehran Kazemi, Xin Xu et al.

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.

Task Planning for Visual Room Rearrangement under Partial Observability

Karan Mirakhor, Sourav Ghosh, DIPANJAN DAS et al.

Task structure and nonlinearity jointly determine learned representational geometry

Matteo Alleman, Jack Lindsey, Stefano Fusi

Taxonomy Driven Fast Adversarial Training

Kun Tong, Chengze Jiang, Jie Gui et al.

Taylor Videos for Action Recognition

Lei Wang, Xiuyuan Yuan, Tom Gedeon et al.

TC4D: Trajectory-Conditioned Text-to-4D Generation

Sherwin Bahmani, Xian Liu, Wang Yifan et al.

T-Cal: An Optimal Test for the Calibration of Predictive Models

Donghwan Lee, Xinmeng Huang, Hamed Hassani et al.

TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models

Jeongho Kim, Min-Jung Kim, Junsoo Lee et al.

TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection

Jan Skvrna, Lukas Neumann

TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection

Tianxiang Chen, Zhentao Tan, Qi Chu et al.

TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving

Cheng Zhao, su sun, Ruoyu Wang et al.

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling

Shimin Zhang, Qu Yang, Chenxiang Ma et al.

TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions

T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy

Fan Duan, Jiahao Yu, Li Chen

TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model

Hantao Yao, Rui Zhang, Changsheng Xu

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Xin Lin, Chong Shi, Yibing Zhan et al.

TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement

Yang Fan, Xiangping Wu, Qingcai Chen et al.

TD-MPC2: Scalable, Robust World Models for Continuous Control

Nicklas Hansen, Hao Su, Xiaolong Wang

Teach CLIP to Develop a Number Sense for Ordinal Regression

Yao DU, Qiang Zhai, Weihang Dai et al.

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation

Hyunjune Shin, Dong-Wan Choi

Teaching Arithmetic to Small Transformers

Nayoung Lee, Kartik Sreenivasan, Jason Lee et al.

Teaching Language Models to Hallucinate Less with Synthetic Tasks

Erik Jones, Hamid Palangi, Clarisse Ribeiro et al.

Teaching Large Language Models to Self-Debug

Xinyun Chen, Maxwell Lin, Nathanael Schaerli et al.

Teaching Large Language Models to Translate with Comparison

Jiali Zeng, Fandong Meng, Yongjing Yin et al.

Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint

Sixiang Chen, Tian Ye, Kai Zhang et al.

Teach LLMs to Phish: Stealing Private Information from Language Models

Ashwinee Panda, Christopher Choquette-Choo, Zhengming Zhang et al.

TEA: Test-time Energy Adaptation

Yige Yuan, Bingbing Xu, Liang Hou et al.

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching

Ruonan Yu, Songhua Liu, Jingwen Ye et al.

TEDDY: Trimming Edges with Degree-based Discrimination Strategy

Hyunjin Seo, Jihun Yun, Eunho Yang

Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge

Bo Zou, Shaofeng Wang, Hao Liu et al.

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning

Siheng Xiong, Yuan Yang, Ali Payani et al.

Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos

Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker

Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence

Junyi Zhang, Charles Herrmann, Junhwa Hur et al.

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Qingru Zhang, Chandan Singh, Liyuan Liu et al.

TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes

Xuying Zhang, Bo-Wen Yin, yuming chen et al.

Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation

Xianghui Xie, Bharat Lal Bhatnagar, Jan Lenssen et al.

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Defu Cao, Furong Jia, Sercan Arik et al.

Temporal Adaptive RGBT Tracking with Modality Prompt

Hongyu Wang, Xiaotao Liu, Yifan Li et al.

Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers

Zixuan Fu, Lanqing Guo, Chong Wang et al.

Temporal Correlation Vision Transformer for Video Person Re-Identification

Pengfei Wu, Le Wang, Sanping Zhou et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

Temporal Event Stereo via Joint Learning with Stereoscopic Flow

Hoonhee Cho, Jae-young Kang, Kuk-Jin Yoon

Temporal Generalization Estimation in Evolving Graphs

Bin Lu, Tingyan Ma, Xiaoying Gan et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning

Zijian Guo, Weichao Zhou, Wenchao Li

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao et al.