| 2022 | Variational Learning for Unsupervised Knowledge Grounded Dialogs. | Mayank Mishra, Dhiraj Madan, Gaurav Pandey, Danish Contractor |
| 2022 | Reinforcement Learning for Cross-Domain Hyper-Heuristics. | Florian Mischek, Nysret Musliu |
| 2022 | Complex Query Answering with Neural Link Predictors (Extended Abstract). | Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez |
| 2022 | Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? | Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz |
| 2022 | Real-Time Heuristic Search with LTLf Goals. | Jaime Middleton, Rodrigo Toro Icarte, Jorge A. Baier |
| 2022 | Group Wisdom at a Price: Jury Theorems with Costly Information. | Matteo Michelini, Adrian Haret, Davide Grossi |
| 2022 | A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles. | Rounak Meyur, Swapna Thorve, Madhav V. Marathe, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit |
| 2022 | Automated Program Analysis: Revisiting Precondition Inference through Constraint Acquisition. | Grgoire Menguy, Sbastien Bardin, Nadjib Lazaar, Arnaud Gotlieb |
| 2022 | Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. | Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu |
| 2022 | Counting, Sampling, and Synthesis: The Quest for Scalability. | Kuldeep S. Meel |
| 2022 | COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence. | Andrew McDonald, Pang-Ning Tan, Lifeng Luo |
| 2022 | Continual Federated Learning Based on Knowledge Distillation. | Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou |
| 2022 | Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. | Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang |
| 2022 | Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. | Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu |
| 2022 | Game Redesign in No-regret Game Playing. | Yuzhe Ma, Young Wu, Xiaojin Zhu |
| 2022 | Searching for Optimal Subword Tokenization in Cross-domain NER. | Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui |
| 2022 | Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. | Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam |
| 2022 | Fixing Knockout Tournaments With Seeds. | Pasin Manurangsi, Warut Suksompong |
| 2022 | Accountability and Responsibility of Artificial Intelligence Decision-making Models in Indian Policy Landscape. | Palak Malhotra, Amita Misra |
| 2022 | Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval. | Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu |
| 2022 | The Good, the Bad, and the Explainer: A Tool for Contrastive Explanations of Text Classifiers. | Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Navid Nobani, Andrea Seveso |
| 2022 | Locally Normalized Soft Contrastive Clustering for Compact Clusters. | Xin Ma, Won Hwa Kim |
| 2022 | Parameterized Algorithms for Kidney Exchange. | Arnab Maiti, Palash Dey |
| 2022 | Deep Graph Matching for Partial Label Learning. | Gengyu Lyu, Yanan Wu, Songhe Feng |
| 2022 | Universal Video Style Transfer via Crystallization, Separation, and Blending. | Haofei Lu, Zhizhong Wang |