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AI Horizons

[Online] The Promise and Pitfalls of Public Pre-training in Differentially Private Machine Learning
04 Oct

[Online] The Promise and Pitfalls of Public Pre-training in Differentially Private Machine Learning

Speaker: Dr Gautam Kamath, University of Washington

[Online] Transfer Learning for Bayesian Optimization on Homogeneous and Heterogeneous Search Spaces
06 Sep

[Online] Transfer Learning for Bayesian Optimization on Homogeneous and Heterogeneous Search Spaces

Speaker: Dr Zi Wang, Google DeepMind

AI Horizons: Reliable Data Use – Synthesis, Retrieval, and Interaction
16 Aug

AI Horizons: Reliable Data Use – Synthesis, Retrieval, and Interaction

Speaker: Dr Pang Wei Koh, University of Washington

Towards Robotic Caregiving – Building Robots That Work Alongside Human Stakeholders 
05 Jul

Towards Robotic Caregiving – Building Robots That Work Alongside Human Stakeholders 

Speaker: Prof. Tapomayukh Bhattacharjee, Cornell University (Dept. of Computer Science)

Distributed Language Models – Isolating Data Risks
03 Jul

Distributed Language Models – Isolating Data Risks

Speaker: Dr Sewon Min, UC Berkeley (Dept. of Electrical Engineering and Computer Sciences)

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