All Papers

Taming Lookup Tables for Efficient Image Retouching

Sidi Yang, Binxiao Huang, Mingdeng Cao et al.

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Peihao Wang, Dejia Xu, Zhiwen Fan et al.

Taming Self-Training for Open-Vocabulary Object Detection

Shiyu Zhao, Samuel Schulter, Long Zhao et al.

Taming Stable Diffusion for Text to 360 Panorama Image Generation

Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi et al.

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding

Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang

Tandem Transformers for Inference Efficient LLMs

Aishwarya P S, Pranav Nair, Yashas Samaga et al.

Tangent Transformers for Composition,Privacy and Removal

Tian Yu Liu, Aditya Golatkar, Stefano Soatto

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy Norman et al.

TapMo: Shape-aware Motion Generation of Skeleton-free Characters

Jiaxu Zhang, Shaoli Huang, Zhigang Tu et al.

TAPTR: Tracking Any Point with Transformers as Detection

Hongyang Li, Hao Zhang, Shilong Liu et al.

Targeted Activation Penalties Help CNNs Ignore Spurious Signals

Dekai Zhang, Matt Williams, Francesca Toni

Targeted Representation Alignment for Open-World Semi-Supervised Learning

Ruixuan Xiao, Lei Feng, Kai Tang et al.

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation

Fengdi Che, Chenjun Xiao, Jincheng Mei et al.

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation

Xiaopei Wu, Yuenan Hou, Xiaoshui Huang et al.

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships

Rangel Daroya, Aaron Sun, Subhransu Maji

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning

Yucheng Yang, Tianyi Zhou, Qiang HE et al.

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Jiamin Wu, Xin Liu, Xiaotian Yin et al.

Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning

Xialei Liu, Jiang-Tian Zhai, Andrew Bagdanov et al.

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks

Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong et al.

Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations

Daan de Geus, Gijs Dubbelman

Task-Aware Encoder Control for Deep Video Compression

Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.

Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning

Yusong Hu, De Cheng, Dingwen Zhang et al.

Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning

Pierre Marza, Laetitia Matignon, Olivier Simonin et al.

Task Contamination: Language Models May Not Be Few-Shot Anymore

Changmao Li, Jeffrey Flanigan

Task-Customized Mixture of Adapters for General Image Fusion

Pengfei Zhu, Yang Sun, Bing Cao et al.

Task-Disruptive Background Suppression for Few-Shot Segmentation

Suho Park, SuBeen Lee, Sangeek Hyun et al.

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction

Zhixuan Chu, Mengxuan Hu, Qing Cui et al.

Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection

Jin Yang, Ping Wei, Huan Li et al.

Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

Jeffrey Wen, Rizwan Ahmad, Phillip Schniter

Task-Driven Wavelets using Constrained Empirical Risk Minimization

Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke et al.

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