Papers
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling
Longxiang Liu, Xiuxing Li, Yang Feng
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
Rui Song, Fausto Giunchiglia, Yingji Li et al.
Tackling Vision Language Tasks through Learning Inner Monologues
Diji Yang, Kezhen Chen, Jinmeng Rao et al.
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training
Yuqi Lin, Minghao Chen, Kaipeng Zhang et al.
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen, Tong Zhang, Wei-Shi Zheng et al.
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation
Yijun Ma, Chaozhuo Li, Xiao Zhou
Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation
Yuyan Chen, Yichen Yuan, Panjun Liu et al.
Taming Binarized Neural Networks and Mixed-Integer Programs
Johannes Aspman, Georgios Korpas, Jakub Marecek
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
Andreas Grivas, Antonio Vergari, Adam Lopez
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
Xingzhou Lou, Junge Zhang, Timothy J. Norman et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
Target Focused Shallow Transformer Framework for Efficient Visual Tracking
Md Maklachur Rahman
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract)
Aleksander Obuchowski, Barbara Klaudel, Piotr Frąckowski et al.
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning
Jiamin Wu, Xin Liu, Xiaotian Yin 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 Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li, Jeffrey Flanigan
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-Free Dynamic Sparse Vision Transformer for Continual Learning
Fei Ye, Adrian G. Bors
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.
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
Zhuang Zhuang, Tianxin Wei, Lingbo Liu et al.
Taxonomy Driven Fast Adversarial Training
Kun Tong, Chengze Jiang, Jie Gui et al.
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
Tianxiang Chen, Zhentao Tan, Qi Chu et al.