출판 Backward Feature Correction: How Deep Learning Performs Deep Learning Zeyuan Allen-Zhu, Yuanzhi Li June 2020 ArXiv | June 2020 프로젝트
출판 Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang CVPR 2020 | June 2020
출판 AI and Accessibility: A Discussion of Ethical Considerations Meredith Ringel Morris Communications of the ACM | June 2020 동영상 동영상 프로젝트
출판 Variational Integrator Networks for Physically Meaningful Embeddings Steindór Sæmundsson, Alexander Terenin, Katja Hofmann, Marc Peter Deisenroth Twenty-Third International Conference on Artificial Intelligence and Statistics (AISTATS) | June 2020 프로젝트
출판 ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo von Billerbeck Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM) | June 2020 액세스
출판 Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) | June 2020
출판 The Present and Future of AI in Pre-Trial Risk Assessment Instruments Alex Chouldechova, Kristian Lum June 2020 Chicago: MacArthur Foundation Safety and Justice Challenge | June 2020
출판 HNHN: Hypergraph Networks With Hyperedge Neurons Yihe Dong, Will Sawin, Yoshua Bengio Graph Representation Learning and Beyond Workshop at ICML 2020 | June 2020 Code available: https://github.com/twistedcubic/HNHN.
출판 Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty Tom Hirshberg, Sai Vemprala, Ashish Kapoor June 2020
출판 MIMICS: A Large-Scale Data Collection for Search Clarification Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell June 2020