Papers
Symbolic Music Generation with Transformer-GANs
Aashiq Muhamed, Liang Li, Xingjian Shi et al.
Symbolic Search for Optimal Total-Order HTN Planning
Gregor Behnke, David Speck
Symbolic Search for Oversubscription Planning
David Speck, Michael Katz
Symmetric Component Caching for Model Counting on Combinatorial Instances
Timothy van Bremen, Vincent Derkinderen, Shubham Sharma et al.
Symmetry Breaking for k-Robust Multi-Agent Path Finding
Zhe Chen, Daniel D. Harabor, Jiaoyang Li et al.
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms
Daniel J. Rosenkrantz, Madhav Marathe, S. S. Ravi et al.
Synchronous Interactive Decoding for Multilingual Neural Machine Translation
Hao He, Qian Wang, Zhipeng Yu et al.
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
Longyuan Li, Jihai Zhang, Junchi Yan et al.
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
Andrea Micheli, Alessandro Valentini
TabNet: Attentive Interpretable Tabular Learning
Sercan Ö. Arik, Tomas Pfister
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Qizhou Wang, Bo Han, Tongliang Liu et al.
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors
Su Lu, Han-Jia Ye, De-Chuan Zhan
TAILOR: Teaching with Active and Incremental Learning for Object Registration
Qianli Xu, Nicolas Gauthier, Wenyu Liang et al.
TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis
Jing-Xuan Zhang, Korin Richmond, Zhen-Hua Ling et al.
Targeted Negative Campaigning: Complexity and Approximations
Avishai Zagoury, Orgad Keller, Avinatan Hassidim et al.
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli
Task Aligned Generative Meta-learning for Zero-shot Learning
Zhe Liu, Yun Li, Lina Yao et al.
Task Cooperation for Semi-Supervised Few-Shot Learning
Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
Chaoqun Wang, Xuejin Chen, Shaobo Min et al.
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract)
Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan
Taxonomy Completion via Triplet Matching Network
Jieyu Zhang, Xiangchen Song, Ying Zeng et al.
TDAF: Top-Down Attention Framework for Vision Tasks
Bo Pang, Yizhuo Li, Jiefeng Li et al.
Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum
Randi Williams, Stephen P. Kaputsos, Cynthia Breazeal
Teaching Active Human Learners
Zizhe Wang, Hailong Sun