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 …

A Sparse Deep Factorization Machine for Efficient CTR prediction. Probability Weighted Compact Feature for Domain Adaptive Retrieval. Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning. Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features. SQLFlow: A Bridg …

Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation. Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer. Subclass Distillation. Exploring and Improving Robustness of Multi Task Deep Neural Networks via Domain Agnostic Defenses. Relaxing Relationship Querie …

RECAST: Interactive Auditing of Automatic Toxicity Detection Models. Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. Object Relational Graph with Teacher-Recommended Learning for Video Captioning. Quantized Neural Network Inference with Precision Batching. A more abstractive summarization model. Interval Neural Networks as …

Class-Imbalanced Semi-Supervised Learning. Structured Consistency Loss for semi-supervised semantic segmentation. Online Self-Supervised Learning for Object Picking: Detecting Optimum Grasping Position using a Metric Learning Approach. A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection. An end-to-end approach for the …

Multi-objective Neural Architecture Search via Predictive Network Performance Optimization. High performance RNNs with spiking neurons. A Mechanism of Implicit Regularization in Deep Learning. Towards Principled Objectives for Contrastive Disentanglement. Multigrid Neural Memory. Frequency Analysis for Graph Convolution Network. A Graph Neural Netw …