Bayesian Neural Architecture Search using A Training-Free Performance Metric. On the Sample Complexity of Adversarial Multi-Source PAC Learning. Efficiently Learning and Sampling Interventional Distributions from Observations. From Kinematics To Dynamics: Estimating Center of Pressure and Base of Support from Video Frames of Human Motion. Zeroth-Or …

Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization. Learning to Multi-Task Learn for Better Neural Machine Translation. Gated Graph Recurrent Neural Networks. Interactive Robot Trainin …

CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images. FOCUS: Dealing with Label Quality Disparity in Federated Learning. Secure Metric Learning via Differential Pairwise Privacy. OpenGAN: Open Set Generative Adversarial Networks. Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions. Bui …