Papers
TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact
Sixing Wu, Ying Li, Dawei Zhang et al.
TouIST: a Friendly Language for Propositional Logic and More
Jorge Fernandez, Olivier Gasquet, Andreas Herzig et al.
Toward a neuro-inspired creative decoder
Payel Das, Brian Quanz, Pin-Yu Chen et al.
Towards Accurate and Robust Domain Adaptation under Noisy Environments
Zhongyi Han, Xian-Jin Gui, Chaoran Cui et al.
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
Zhen Wang, Chao Lan
Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips
Ke Li, Lisi Chen, Shuo Shang
Towards an Artificial Argumentation System
Ramon Ruiz-Dolz
Towards Explainable Conversational Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie et al.
Towards Fully 8-bit Integer Inference for the Transformer Model
Ye Lin, Yanyang Li, Tengbo Liu et al.
Towards High-Level Intrinsic Exploration in Reinforcement Learning
Nicolas Bougie, Ryutaro Ichise
Towards Making the Most of Context in Neural Machine Translation
Zaixiang Zheng, Xiang Yue, Shujian Huang et al.
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization
Wei Niu, Pu Zhao, Zheng Zhan et al.
Towards Trustable Explainable AI
Alexey Ignatiev
Tractable Fragments of Datalog with Metric Temporal Operators
Przemysław A. Wałęga, Bernardo Cuenca Grau, Mark Kaminski et al.
Trading Plan Cost for Timeliness in Situated Temporal Planning
Shahaf Shperberg, Andrew Coles, Erez Karpas et al.
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching
Hanyuan Zhang, Xinyu Zhang, Qize Jiang et al.
Transductive Relation-Propagation Network for Few-shot Learning
Yuqing Ma, Shihao Bai, Shan An et al.
Transformers as Soft Reasoners over Language
Peter Clark, Oyvind Tafjord, Kyle Richardson
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Hongming Zhang, Daniel Khashabi, Yangqiu Song et al.
Transparent Intent for Explainable Shared Control in Assistive Robotics
Mark Zolotas, Yiannis Demiris
TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure
Fuxiang Zhang, Xin Wang, Zhao Li et al.
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Cong Fei, Bin Wang, Yuzheng Zhuang et al.
Triple-to-Text Generation with an Anchor-to-Prototype Framework
Ziran Li, Zibo Lin, Ning Ding et al.
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang et al.