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MLconf

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Jamila Smith-Loud - Understanding Human Impact: Social and Equity Assessments for AI Technologies
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Ted Willke - The Brain’s Guide to Dealing with Context in Language Understanding
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Justin Armstrong - Applying Computer Vision to Reduce Contamination in the Recycling Stream
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Igor Markov - Quantum Computing: a Treasure Hunt, not a Gold Rush
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Josh Wills - Data Labeling as Religious Experience
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Vinay Prabhu - Project GaitNet: Ushering in the ImageNet moment for human Gait kinematics
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Jekaterina Novikova - Machine Learning Methods in Detecting Alzheimer’s Disease from Speech and Language
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Meghana Ravikumar - Optimized Image Classification on the Cheap
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Noam Finkelstein - The Importance of Modeling Data Collection
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June Andrews - The Uncanny Valley of ML
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Sneha Rajana - Deep Learning Architectures for Semantic Relation Detection Tasks
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Anoop Deoras - Building an Incrementally Trained, Local Taste Aware, Global Deep Learned Recommender System Model
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Vito Ostuni - The Voice: New Challenges in a Zero UI World
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Anna choromanska - Data-driven Challenges in AI: Scale, Information Selection, and Safety
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