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 …

Piecewise linear activations substantially shape the loss surfaces of neural networks. Mixed integer programming formulation of unsupervised learning. Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces. Stochasticity in Neural ODEs: An Empirical Study. FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Depende …

Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation. Nmbr9 as a Constraint Programming Challenge. Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification. Learning Diverse Features with Part-Level Resolution for Person Re-Identification. SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint E …

Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. Tropical Support Vector Machine and its Applications to Phylogenomics. Leverage the Average: an Analysis of Regularization in RL. Improve SGD Training via Aligning Mini-batches. Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks …