Medical Diagnosis

Paper Group AWR 34

February 2, 2020

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. Explainable Prediction of Adverse Outcomes Using Clinical Notes. Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data. Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection. Multi-Stage Documen …

Paper Group AWR 39

February 2, 2020

Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing. Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios. Giveme5W1H: A Universal System for Extracting Main Events from News Articles. Adversarial point perturbations on 3D objects. StructureNet: Hierarchical Graph Networks for 3D Shape Generation. 3DN: 3D De …

Paper Group AWR 129

February 1, 2020

Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events. A Remote Sensing Image Dataset for Cloud Removal. Learning Transferable Cooperative Behavior in Multi-Agent Teams. Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. In Defense of the Triplet Loss Again: Learning R …

Paper Group AWR 327

February 1, 2020

GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud. Fine-Tuning Language Models from Human Preferences. Implicit Regularization in Deep Matrix Factorization. Water Preservation in Soan River Basin using Deep Learning Techniques. Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone A …

Paper Group ANR 165

January 31, 2020

Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation. Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning. NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique. Simple iterative method for generating targeted universal advers …

Paper Group ANR 52

January 31, 2020

Fundamental Entropic Laws and $\mathcal{L}_p$ Limitations of Feedback Systems: Implications for Machine-Learning-in-the-Loop Control. Convolutional Neural Networks Utilizing Multifunctional Spin-Hall MTJ Neurons. Region-Adaptive Dense Network for Efficient Motion Deblurring. Automatic detection and diagnosis of sacroiliitis in CT scans as incidenta …

Paper Group AWR 440

January 31, 2020

Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques. Graph Element Networks: adaptive, structured computation and memory. Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. Believe It or Not, We Know What You Are Looking at!. Learning Edge Properties in Graphs from Path Agg …

Paper Group ANR 230

January 30, 2020

Uncovering Sociological Effect Heterogeneity using Machine Learning. Unsupervised Doodling and Painting with Improved SPIRAL. Active Learning within Constrained Environments through Imitation of an Expert Questioner. Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. In Plain Sight: Media Bias Through the Lens of Factua …

Paper Group ANR 247

January 30, 2020

Logistic regression models for aggregated data. Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks. Stochastic approximation with cone-contractive operators: Sharp $\ell_\infty$-bounds for $Q$-learning. Analysis of Deep Neural Networks with Quasi-optimal polynomial approximation rates. Optimal checkpointing for …

Paper Group ANR 308

January 30, 2020

Model Bridging: To Interpretable Simulation Model From Neural Network. Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. PaintBot: A Reinforcement Learning Approach for Natural Media Painting. Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime. Mu …

Paper Group ANR 343

January 30, 2020

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. Hierarchic Neighbors Embedding. Modeling the Biological Pathology Continuum with HSIC-regularized Wasserstein Auto-encoders. Incremental Learning from Scratch for Task-Oriented Dialogue Systems. Scalable and Order-robust Continual Learning with Additive Para …

Paper Group ANR 390

January 30, 2020

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. Reinforcement Learning with Non-uniform State Representations for Adaptive Search. Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space. Learning to Learn Semantic Parsers from Natural Language Supervision. Counterfactual diag …

Paper Group ANR 569

January 29, 2020

A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data. Learning Target-oriented Dual Attention for Robust RGB-T Tracking. Image-based reconstruction for the impact problems by using DPNNs. Problems with automating translation of movie/TV show subtitles. Falls Prediction Based on Body Keypoints and Seq2Seq Architectu …

Paper Group ANR 620

January 29, 2020

Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images. Debiasing Personal Identities in Toxicity Classification. Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems. Stochastic dynamical modeling of turbulent flows. Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. Continual Rei …

Paper Group ANR 751

January 29, 2020

Towards Verifying Robustness of Neural Networks Against Semantic Perturbations. Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space. Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. Query-by-example on-device keyword spotting. Reinforcement Learning in Heal …

Paper Group ANR 1027

January 28, 2020

On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification. Empirical effect of graph embeddings on fraud detection/ risk mitigation. A Bootstrap-based Inference Framework for Testing Similarity of Paired Networks. Deep Learning-based Radiomic Features fo …

Paper Group ANR 1029

January 28, 2020

Generalized Maximum Causal Entropy for Inverse Reinforcement Learning. Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. Mapping Areas using Computer Vision Algorithms and Drones. An Optimization Framework for Task Sequencing in Curriculum Learning. Finite-Time Error Bounds For Linear Stochastic Approximati …

Paper Group ANR 1062

January 28, 2020

Conversational implicatures in English dialogue: Annotated dataset. Benchmarking Adversarial Robustness. Using Natural Language for Reward Shaping in Reinforcement Learning. Quantitative Logic Reasoning. Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response. Value of Information in Probabilistic Log …

Paper Group ANR 788

January 28, 2020

Learning to Infer User Interface Attributes from Images. VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling. FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization. A New Framework for Query Efficient Active Imitation Learning. Towards Shape Biased Unsupervised Representation Le …

Paper Group ANR 1068

January 27, 2020

Siam R-CNN: Visual Tracking by Re-Detection. Improve Object Detection by Data Enhancement based on Generative Adversarial Nets. RED: A ReRAM-based Deconvolution Accelerator. VAE-based regularization for deep speaker embedding. AANet: Attribute Attention Network for Person Re-Identifications. LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Inform …

Paper Group ANR 1102

January 27, 2020

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares. Column generation for the discrete Unit Commitment problem with min-stop ramping constraints. Automated Circuit Approximation Method Driven by Data Distribution. Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture …

Paper Group ANR 1108

January 27, 2020

Bayesian optimization in ab initio nuclear physics. “Mask and Infill” : Applying Masked Language Model to Sentiment Transfer. A Gaussian process latent force model for joint input-state estimation in linear structural systems. Deep Learning based HEp-2 Image Classification: A Comprehensive Review. Multi-layered Spiking Neural Network with Target Ti …

Paper Group ANR 1122

January 27, 2020

Software Engineering Practices for Machine Learning. Towards Making the Most of BERT in Neural Machine Translation. Asymmetric GAN for Unpaired Image-to-image Translation. Improving a Quality of 3D Object Detection by Spatial Transformation Mechanism. Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks. Object-Cent …

Paper Group ANR 1263

January 27, 2020

A Fuzzy Inference System for the Identification. Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation. Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks. Machine-assisted annotation of forensic imagery. Fast communication-efficient spectral clustering over dis …

Paper Group ANR 1272

January 27, 2020

Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked. Multi-Objective Evolutionary Algorithms platform with support for flexible hybridization tools. Measuring Belief and Risk Attitude. Evaluating robustness of language models for chief complaint extraction from patient-generated text. Safe and Near-Optimal Policy Learni …

Paper Group ANR 1290

January 27, 2020

Electricity Load Forecasting – An Evaluation of Simple 1D-CNN Network Structures. Learning to Map Nearly Anything. Spatial-Winograd Pruning Enabling Sparse Winograd Convolution. Capacity of the covariance perceptron. Data Selection for Short Term load forecasting. 3D Semantic Scene Completion from a Single Depth Image using Adversarial Training. F …

Paper Group ANR 1454

January 26, 2020

Information-Theoretic Confidence Bounds for Reinforcement Learning. A General $\mathcal{O}(n^2)$ Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM. OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering. Towar …

Paper Group ANR 1486

January 26, 2020

Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction. Thresholding Bandit Problem with Both Duels and Pulls. Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach. Qui …