Microsoft at NeurIPS 2020

Azure Cognitive Services Research

CSR organizes the Distinguished Talk Series to host discussions with leaders in academia and industry. If you’re interested in giving a talk, please contact Chenguang Zhu (chezhu@microsoft.com).

Presenter

Affiliation

Date

Title

Prof. Zhengyuan ZhouNYUTBDOptimal No-Regret Learning in Repeated First-Price Auctions
Prof. Mohit BansalUniversity of North Carolina at Chapel Hill8/31/2023TBD
Prof. Chen SunBrown University7/20/2023TBD
Prof. Haiyi ZhuCMU6/29/2023Bridging AI and HCI: Incorporating Human Values into the Design and Use of AI Technologies
Prof. Mark DredzeJohns Hopkins University5/18/2023LLMs and Health: Challenges and Opportunities
Prof. Dongyeop Kang University of Minnesota5/11/2023Computational Modeling of Human Disagreements in the Era of Large Language Models
Prof. Graham NeubigCarnegie Mellon University4/13/2023Learning to Explain and Explaining to Learn
Prof. Greg DurrettUT Austin3/9/2023Information Synthesis in the Era of GPT-3
Prof. Chen-Yu WeiUniversity of Virginia1/19/2023Policy Optimization in Adversarial MDPs: Improved Exploration Bonus Design
Prof. Xiaoming LiuMichigan State University1/12/2023Autonomous Sensing: from 3D Object Detection to Biometric Recognition
Prof. Shuran SongColumbia University11/10/2022Learning Meets Gravity: Robots that Embrace Dynamics from Pixels
Prof. Abhishek GuptaOhio State University10/13/2022Communication-efficient Model Heterogeneous Federated Learning
Prof. Serena YeungStanford9/22/2022Overcoming Data and Label Bottlenecks in Scene Understanding for Healthcare Applications
Prof. Lu WangUniversity of Michigan8/25/2022Long Document Summarization with Efficient Attentions and Structures
Prof. Muhao ChenUniversity of Southern California7/21/2022Robust and Indirectly Supervised Information Extraction
Prof. Allyson EttingerUniversity of Chicago6/16/2022“Understanding” and Prediction: Controlled Assessment of Meaning Sensitivity in Pre-trained Language Models
Prof. Han ZhaoUIUC5/5/2022Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
Prof. Weijie SuUPenn4/7/2022Gaussian Differential Privacy and Edgeworth Accountant
Prof. Jason D. LeePrinceton3/17/2022Provable Representation Learning in Deep Learning
Dr. Yi TayGoogle2/3/2022ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Prof. Junjie HuUniv. of Wisconsin-Madison1/20/2022Multilingual NLP: Cross-lingual Transfer Learning and Applications
Prof. Tengyu MaStanford11/17/2021Understanding Self-supervised Learning: Analysis and Robustness to Imbalance Dataset
Prof. Jiantao JiaoUC Berkeley10/28/2021Near-optimal algorithms for Imitation Learning
Prof. Vered ShwartzUniversity of British Columbia9/23/2021Commonsense Knowledge and Reasoning in Natural Language
Dr. Jim GlassMIT7/22/2021Recent Progress in Self-Supervised and Cross-Modal Speech Processing
Prof. Zhiting HuUCSD6/17/2021Text Generation with No (Good) Data: New Reinforcement Learning and Causal Frameworks
Prof. Nanyun PengUCLA5/27/2021Controllable Text Generation Beyond Auto-regressive Models
Prof. Ashton AndersonUniversity of Toronto4/09/2021The Cultural Structure of Online Platforms
Prof. Aditya GroverFacebook AI Research/UCLA3/18/2021Transformer Language Models as Universal Computation Engines
Prof. Diyi YangGeorgia Tech2/18/2021Language Understanding in Social Context: Theory and Practice
Prof. Song HanMIT1/21/2021Putting AI on a Diet: TinyML and Efficient Deep Learning
Prof. Tianqi ChenCarnegie Mellon University1/15/2021Elements of Learning Systems
Prof. Xiang RenUniversity of Southern California12/18/2020Label Efficient Learning with Human Explanations
Prof. Jiajun WuStanford11/19/2020Neuro-Symbolic Visual Concept Learning
Prof. Fei LiuUniversity of Central Florida10/30/2020Toward Robust Abstractive Multi-Document Summarization and Information Consolidation
Prof. Vivian Yun-Nung ChenNational Taiwan University10/2/2020Are Your Dialogue Systems Robust and Scalable?
Prof. Meng JiangUniversity of Notre Dame9/10/2020Scientific Knowledge Extraction: New Tasks and Methods