Papers
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille, Michael Lam, Rahul Tewari et al.
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du, Karthic Narasimhan
Task Agnostic Meta-Learning for Few-Shot Learning
Muhammad Abdullah Jamal, Guo-Jun Qi
Task-Conditioned Variational Autoencoders for Learning Movement Primitives
Michael Noseworthy, Rohan Paul, Subhro Roy et al.
Task-Driven Common Representation Learning via Bridge Neural Network
Yao Xu, Xueshuang Xiang, Meiyu Huang
Task-Driven Modular Networks for Zero-Shot Compositional Learning
Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta et al.
Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization
Yiyang Wang, Risheng Liu, Long Ma et al.
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar et al.
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar et al.
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir, Alexander Sax, William Shen et al.
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
Zehao Lin, Xinjing Huang, Feng Ji et al.
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
Zehao Lin, Xinjing Huang, Feng Ji et al.
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
Yftah Ziser, Roi Reichart
Task Transfer by Preference-Based Cost Learning
Mingxuan Jing, Xiaojian Ma, Wenbing Huang et al.
T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition
Yifeng Chen, Cheng Wu, Yiming Wang
TCL - a Lexicon of Turkish Discourse Connectives
Deniz Zeyrek, Kezban Başıbüyük
T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion
Tianming Wang, Xiaojun Wan
TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding
Lei Zhang, Shengyuan Zhou, Tian Zhi et al.
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
Rémy Portelas, Cédric Colas, Katja Hofmann et al.
Teacher Guided Architecture Search
Pouya Bashivan, Mark Tensen, James J. DiCarlo
Teaching a black-box learner
Sanjoy Dasgupta, Daniel Hsu, Stefanos Poulis et al.
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei et al.