| 2020 | Comparing Topic-Aware Neural Networks for Bias Detection of News. | Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard |
| 2020 | CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. | Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang |
| 2020 | Gradual Semantics for Logic-Based Bipolar Graphs Using T-(Co)norms. | Martin Jedwabny, Madalina Croitoru, Pierre Bisquert |
| 2020 | Visual-Semantic Embedding Model Informed by Structured Knowledge. | Mirantha Jayathilaka, Tingting Mu, Uli Sattler |
| 2020 | TransSketchNet: Attention-Based Sketch Recognition Using Transformers. | Gaurav Jain, Shivang Chopra, Suransh Chopra, Anil Singh Parihar |
| 2020 | Robust Submodular Minimization with Applications to Cooperative Modeling. | Rishabh K. Iyer |
| 2020 | Polynomial Neural Networks and Taylor Maps for Dynamical Systems Simulation and Learning. | Andrei Ivanov, Anna Golovkina, Uwe Iben |
| 2020 | A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. | Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima |
| 2020 | Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. | Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson |
| 2020 | Actual Causality Canvas: A General Framework for Explanation-Based Socio-Technical Constructs. | Amjad Ibrahim, Tobias Klesel, Ehsan Zibaei, Severin Kacianka, Alexander Pretschner |
| 2020 | Generating Instantiated Argument Graphs from Probabilistic Information. | Anthony Hunter |
| 2020 | Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning. | Yi-Qi Hu, Zelin Liu, Hua Yang, Yang Yu, Yunfeng Liu |
| 2020 | Predicting Long-Term Skeletal Motions by a Spatio-Temporal Hierarchical Recurrent Network. | Junfeng Hu, Zhencheng Fan, Jun Liao, Li Liu |
| 2020 | DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. | Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu |
| 2020 | Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. | Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao |
| 2020 | RPN: A Residual Pooling Network for Efficient Federated Learning. | Anbu Huang, Yuanyuan Chen, Yang Liu, Tianjian Chen, Qiang Yang |
| 2020 | On Minimizing Diagonal Block-Wise Differences for Neural Network Compression. | Yun-Jui Hsu, Yi-Ting Chang, Chih-Ya Shen, Hong-Han Shuai, Wei-Lun Tseng, Chen-Hsu Yang |
| 2020 | Dual Rejection Sampling for Wasserstein Auto-Encoders. | Liang Hou, Huawei Shen, Xueqi Cheng |
| 2020 | Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem. | Andr Hottung, Kevin Tierney |
| 2020 | Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference Template-Based Information Extraction. | Hendrik ter Horst, Philipp Cimiano |
| 2020 | Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. | Sebastian Hofsttter, Markus Zlabinger, Allan Hanbury |
| 2020 | Macro Operator Synthesis for ADL Domains. | Till Hofmann, Tim Niemueller, Gerhard Lakemeyer |
| 2020 | Graphical Granger Causality by Information-Theoretic Criteria. | Katerina Hlavckov-Schindler, Claudia Plant |
| 2020 | MobiSenseUs: Inferring Aggregate Objective and Subjective Well-Being from Mobile Data. | Martin Hillebrand, Imran Khan, Filipa Peleja, Nuria Oliver |