CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning. Spatial Evolutionary Generative Adversarial Networks. Blending Diverse Physical Priors with Neural Networks. Synchronising audio and ultrasound by learning cross-modal embeddings. Machine learning algorithms to infer trait-matching and predict species interactions in ecological …

BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication). Neural Network Training with Approximate Logarithmic Computations. Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. Predicting Research Trends From Arxiv. A Conceptual Framework for Evaluating Fairness in Search. DDGK: Lea …

Human uncertainty makes classification more robust. Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI. ProbMinHash – A Class of Locality-Sensitive Hash Algorithms for the (Probability) Jaccard Similarity. AMR Normalization for Fairer Evaluation. Unified Generative Adversarial Networks for Controllable Image-t …

Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography. Modelling urban networks using Variational Autoencoders. Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ConvLab: Multi-Domain End-to-End Dialog Sy …

Data-Efficient Mutual Information Neural Estimator. SHREWD: Semantic Hierarchy-based Relational Embeddings for Weakly-supervised Deep Hashing. Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder. Multi-views Embedding for Cattle Re-identification. RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruc …

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Finite Depth and Width Corrections to the Neural Tangent Kernel. Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving. Probing Representations Learned by Multimodal Recurrent and Transformer Models. PAC Guarantees for Cooperative Multi-A …

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. Reinforcement Lea …

Fault Matters: Sensor Data Fusion for Detection of Faults using Dempster-Shafer Theory of Evidence in IoT-Based Applications. A model for a Lindenmayer reconstruction algorithm. Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model. Self-Binarizing Networks. Compositio …