Papers
Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects
Ke Li, Lisi Chen, Shuo Shang et al.
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning
Celia Cintas, Payel Das, Brian Quanz et al.
Towards Discourse-Aware Document-Level Neural Machine Translation
Xin Tan, Longyin Zhang, Fang Kong et al.
Towards Joint Intent Detection and Slot Filling via Higher-order Attention
Dongsheng Chen, Zhiqi Huang, Xian Wu et al.
Towards Resolving Propensity Contradiction in Offline Recommender Learning
Yuta Saito, Masahiro Nomura
Towards Robust Dense Retrieval via Local Ranking Alignment
Xuanang Chen, Jian Luo, Ben He et al.
Towards Robust Unsupervised Disentanglement of Sequential Data — A Case Study Using Music Audio
Yin-Jyun Luo, Sebastian Ewert, Simon Dixon
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk
ChengYang Ying, Xinning Zhou, Hang Su et al.
Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
Lin Li, Xiaohua Wu, Miao Kong et al.
Towards Universal Backward-Compatible Representation Learning
Binjie Zhang, Yixiao Ge, Yantao Shen et al.
Towards Verifiable Federated Learning
Yanci Zhang, Han Yu
Tradformer: A Transformer Model of Traditional Music Transcriptions
Luca Casini, Bob L. T. Sturm
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
Chenxiao Yang, Qitian Wu, Jipeng Jin et al.
Training Naturalized Semantic Parsers with Very Little Data
Subendhu Rongali, Konstantine Arkoudas, Melanie Rubino et al.
Transfer Learning Based Adaptive Automated Negotiating Agent Framework
Ayan Sengupta, Shinji Nakadai, Yasser Mohammad
Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules
Chen Li, Chikashige Yamanaka, Kazuma Kaitoh et al.
Transparency, Detection and Imitation in Strategic Classification
Flavia Barsotti, Ruya Gokhan Kocer, Fernando P. Santos
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang et al.
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification
Pu Zhao, Chuan Luo, Bo Qiao et al.
Two for One & One for All: Two-Sided Manipulation in Matching Markets
Hadi Hosseini, Fatima Umar, Rohit Vaish
Two-Sided Matching over Social Networks
Sung-Ho Cho, Taiki Todo, Makoto Yokoo
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhiwei Hu, Victor Gutierrez Basulto, Zhiliang Xiang et al.