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Hyperparameter Optimization of MLPerf Training with Habana Labs: SigOpt Summit 2021
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Better Glass Design with Multi-Objective Bayesian Optimization
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Q2B 2020 | Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks
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Q2B 2020 | The Power of Quantum Computers | Andrew Childs | University of Maryland
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Generating Adversarial Examples & Defense Methods For Online Fraud Detection
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Designing More Inclusive AI with More Inclusive Workflows
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Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
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One-Bit Compressed Sensing via One-Shot Hard Thresholding
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Bounding the expected run-time of nonconvex optimization with early stopping
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ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer
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Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
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Intelligent irrigation management using crop-models, optimization and machine learning
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Advances in Data Science Conference 2020: Stephanie Hyland
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ML Summit: Predict | Introduction to Swift for Tensorflow
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Efficient Distributed Hyperparameter Tuning with Apache Spark
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Adversarial Attacks and Defenses: Frontiers, Advances and Practice
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Learning from All Types of Experiences: A Unifying Machine Learning Perspective
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Data Sketching for Real Time Analytics: Theory and Practice
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Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets
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MLHC 2020: Panel Discussion - Heterogeneous Treatment Effect Estimation
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Application of Multi-class Supervised Algorithms to Identify COVID-19 Viral Strains
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Tutorials: Practical Deep Learning for Data Scientists
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Talk: What are quantum computers, and how can we train them in Python?
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Cost-effective Cloud Edge Traffic Engineering with Cascara
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