Physics Informed Deep Learning for Transport in Porous Media. Buckley Leverett Problem. Super-efficiency of automatic differentiation for functions defined as a minimum. End-to-end Emotion-Cause Pair Extraction via Learning to Link. Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. Interpretable and Fair Compa …

Joint Multiclass Debiasing of Word Embeddings. Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback. Constraining the recent star formation history of galaxies : an Approximate Bayesian Computation approach. Teacher-Student chain for efficient semi-supervised histology image classification. One Explanation Does Not Fit Al …

Confidence Guided Stereo 3D Object Detection with Split Depth Estimation. Learning discrete state abstractions with deep variational inference. MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing. Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models. Group Sparsity: The Hinge Between …

Causal Discovery with Reinforcement Learning. SAFE-DNN: A Deep Neural Network with Spike Assisted Feature Extraction for Noise Robust Inference. An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality. GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation. Distillation $\approx$ Early Stopping? Harvesting Dar …