| 2021 | Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. | Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu |
| 2021 | Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. | Jianqi Gao, Xiangfeng Luo, Hao Wang, Zijian Wang |
| 2021 | A deep reinforcement learning-based agent for negotiation with multiple communication channels. | Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao |
| 2021 | Proactive, Correlation Based Anomaly Detection at the Edge. | Panagiotis Fountas, Kostas Kolomvatsos |
| 2021 | Verum Fitness: An AI Powered Mobile Fitness Safety and Improvement Application. | Asia Flores, Brandon Hall, Luke Carter, Maxwell Lanum, Rishi Narahari, Garrett Goodman |
| 2021 | Reproducing arm movements based on Pose Estimation with robot programming by demonstration. | Oscar Fernandez-Ramos, Diego Johnson-Yaez, Willy Ugarte |
| 2021 | Research on GNSS/DR method based on B-spline and optimized BP neural network. | Zaihui Fei, Shuangcheng Jia, Qian Li |
| 2021 | A practical query selection framework for real-time Bayesian preference elicitation. | Marco Faella, Alberto Finzi, Luigi Sauro |
| 2021 | Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. | Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu |
| 2021 | Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction. | Sayda Elmi, Karim Benouaret, Kian-Lee Tan |
| 2021 | LURAT: a Lightweight Unsupervised Automatic Readability Assessment Toolkit for Second Language Learners. | Yo Ehara |
| 2021 | A Framework for Constructing and Augmenting Knowledge Graphs using Virtual Space: Towards Analysis of Daily Activities. | Shusaku Egami, Satoshi Nishimura, Ken Fukuda |
| 2021 | VTON-HF: High Fidelity Virtual Try-on Network via Semantic Adaptation. | Chenghu Du, Feng Yu, Yadong Chen, Minghua Jiang, Xiong Wei, Tao Peng, Xinrong Hu |
| 2021 | Dual Batch Size Training: An efficient MGD adaptive batch size method. | Yuhang Du, Wenfeng Shen, Baohua Liu, Weijia Lu, Hao Gong |
| 2021 | Zero or few shot knowledge graph completions by text enhancement with multi-grained attention. | Zhijuan Du |
| 2021 | Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining. | Nikolaos Dionelis, Mehrdad Yaghoobi, Sotirios A. Tsaftaris |
| 2021 | Analysis of COVID-19 Misinformation in Social Media using Transfer Learning. | Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, Franois Bolduc, Osmar Zaane |
| 2021 | Profiling Money Laundering with Neural Networks: a Case Study on Environmental Crime Detection. | Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage |
| 2021 | Multi-agent Story-based Settlement Generation. | Jonathan Demke, Robert Morain, Connor Wilhelm, Dan Ventura |
| 2021 | Prediction and Inference in a Partially Hidden Markov-switching Framework with Autoregression. Application to Machinery Health Diagnosis. | Fatoumata Dama, Christine Sinoquet |
| 2021 | Automated SAT Problem Feature Extraction using Convolutional Autoencoders. | Marco Dalla, Andrea Visentin, Barry O'Sullivan |
| 2021 | Novelty detection for unsupervised continual learning in image sequences. | Ruiqi Dai, Mathieu Lefort, Frdric Armetta, Mathieu Guillermin, Stefan Duffner |
| 2021 | PAMELA: a generic and light multi-agent platform. | Baudouin Dafflon, Maxime Guriau, Yacine Ouzrout, Sylvain Touchard |
| 2021 | Diagnosis Detection Support based on Time Series Similarity of Patients Physiological Parameters. | Carmela Comito, Deborah Falcone, Agostino Forestiero |
| 2021 | Extracting Frequent (Closed) Seasonal Gradual Patterns Using Closed Itemset Mining. | Aymeric Cme, Jerry Lonlac |