Moving Target Monte Carlo. Can ML predict the solution value for a difficult combinatorial problem?. Algorithmic Recourse: from Counterfactual Explanations to Interventions. POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning. Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints. Du$^2$Net: Learning Depth …

A Dataset of German Legal Documents for Named Entity Recognition. Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation. Listwise Learning to Rank by Exploring Unique Ratings. VerSe: A Vertebrae Labelling and Segmentation Benchmark. Probabilistic Regression for Visual Tracking. Instance Credibili …

Joint Unsupervised Learning for the Vertebra Segmentation, Artifact Reduction and Modality Translation of CBCT Images. Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach. Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. Top-K Training of GANs: Improving Generators by Making Critics …

Learning Gaussian Graphical Models via Multiplicative Weights. Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds. Bayesian Deep Learning and a Probabilistic Perspective of Generalization. SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection. Pairwise N …