Papers
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
Di Chen, Yada Zhu, Xiaodong Cui et al.
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
Jinglin Liu, Yi Ren, Xu Tan et al.
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim et al.
Temporal Adaptive Alignment Network for Deep Video Inpainting
Ruixin Liu, Zhenyu Weng, Yuesheng Zhu et al.
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Sankalp Garg, Navodita Sharma, Woojeong Jin et al.
Tensor-based multi-view label enhancement for multi-label learning
Fangwen Zhang, Xiuyi Jia, Weiwei Li
TextFuseNet: Scene Text Detection with Richer Fused Features
Jian Ye, Zhe Chen, Juhua Liu et al.
Text Style Transfer via Learning Style Instance Supported Latent Space
Xiaoyuan Yi, Zhenghao Liu, Wenhao Li et al.
Textual Membership Queries
Jonathan Zarecki, Shaul Markovitch
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty
Allegra De Filippo, Michele Lombardi, Michela Milano
The Competitive Effects of Variance-based Pricing
Ludwig Dierks, Sven Seuken
The Complexity Landscape of Resource-Constrained Scheduling
Robert Ganian, Thekla Hamm, Guillaume Mescoff
The Complexity of Election Problems with Group-Separable Preferences
Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova
The Computational Complexity of Angry Birds (Extended Abstract)
Matthew Stephenson, Jochen Renz, Xiaoyu Ge
The Emerging Landscape of Explainable Automated Planning & Decision Making
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati
The Graph-based Mutual Attentive Network for Automatic Diagnosis
Quan Yuan, Jun Chen, Chao Lu et al.
The Importance of the Test Set Size in Quantification Assessment
André Maletzke, Waqar Hassan, Denis dos Reis et al.
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering
Sayak Dey, Swagatam Das, Rammohan Mallipeddi
``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering
Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos
Threshold Treewidth and Hypertree Width
Robert Ganian, Andre Schidler, Manuel Sorge et al.
Tight Approximation for Proportional Approval Voting
Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski et al.
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
Qinghua Ding, Kaiwen Zhou, James Cheng
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking
Siyuan Li, Zhi Zhang, Ziyu Liu et al.