ML and Epidemiology with Elaine Nsoesie - #396
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395
Graph ML Research at Twitter with Michael Bronstein - #394
Panel: The Great ML Language (Un)Debate! - #393
What the Data Tells Us About COVID-19 with Eric Topol - #392
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
Computer Vision for Remote AR with Flora Tasse - #390
Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389
How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388
AI for High-Stakes Decision Making with Hima Lakkaraju - #387
Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386
Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385
Machine Learning Commerce at Square with Marsal Gavalda - #384
Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383
Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382
2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381
Panel: Advancing Your Data Science Career During the Pandemic - #380
On George Floyd, Empathy, and the Road Ahead
Engineering a Less Artificial Intelligence with Andreas Tolias - #379
Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378
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