Representation Learning

Paper Group ANR 1010

January 28, 2020

Adapting Computer Vision Algorithms for Omnidirectional Video. Compositionality for Recursive Neural Networks. Accurate and Robust Eye Contact Detection During Everyday Mobile Device Interactions. Learning Spatial Awareness to Improve Crowd Counting. Boosting insights in insurance tariff plans with tree-based machine learning methods. Estimation an …

Paper Group ANR 1011

January 28, 2020

Path Capsule Networks. AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering. Topological Interpretation of Interactive Computation. Active and Passive Portfolio Management with Latent Factors. A collaborative filtering model with heterogeneous neural networks for recommender systems. Classifying Partially …

Paper Group ANR 1019

January 28, 2020

The Computational Complexity of Fire Emblem Series and similar Tactical Role-Playing Games. 6D Object Pose Estimation without PnP. Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis. Penalized regression via the restricted bridge estimator. Some machine learning schemes for high-dimensional nonlinear PDEs. Predicti …

Paper Group ANR 1021

January 28, 2020

Random 2.5D U-net for Fully 3D Segmentation. Maintaining Discrimination and Fairness in Class Incremental Learning. Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors. The Ridge Path Estimator for Linear Instrumental Variables. Low-dimensional statistical manifold embedding of directed graphs. DeL …

Paper Group ANR 1025

January 28, 2020

Fitting IVIM with Variable Projection and Simplicial Optimization. Multimodal Emotion Classification. Spatio-Temporal Deep Graph Infomax. Classification of glomerular hypercellularity using convolutional features and support vector machine. Deep Patent Landscaping Model Using Transformer and Graph Embedding. Towards better social crisis data with H …

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 1032

January 28, 2020

Generating protein sequences from antibiotic resistance genes data using Generative Adversarial Networks. Modeling Event Propagation via Graph Biased Temporal Point Process. The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics. Exact and fast inversion of the approximate discrete Radon t …

Paper Group ANR 1055

January 28, 2020

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model. Deep Q-Network for Angry Birds. A survey on intrinsic motivation in reinforcement learning. Recommending investors for new startups by integrating network diffusion and investors’ domain preference. Crowd Transformer Network. FlowSAN: Privacy-enhancing Semi-Adversarial Ne …

Paper Group ANR 1058

January 28, 2020

Learning from demonstration with model-based Gaussian process. Two-stream Spatiotemporal Feature for Video QA Task. A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. Bag-of-Audio-Words based on Autoencoder Codebook for Continuous Emotion Prediction. Proceedings 35th International Conferen …

Paper Group ANR 1065

January 28, 2020

Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction. Argument Component Classification for Classroom Discussions. Deep Learning for Fine-Grained Image Analysis: A Survey. Stock Price Forecasting and Hypothesis Testing Using Neural Networks. Equipping Experts/Bandits with Long-term Memory. Differential Privacy for …

Paper Group ANR 1066

January 28, 2020

Learning Representations by Maximizing Mutual Information in Variational Autoencoders. CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. Cognitive Systems Approach to Smart Cities. Efforts estimation of doctors annotating medical image. Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmannian. T …

Paper Group ANR 770

January 28, 2020

Global Fitting of the Response Surface via Estimating Multiple Contours of a Simulator. Visualizing High Dimensional Dynamical Processes. Deep Learning Approach on Information Diffusion in Heterogeneous Networks. A Convolutional Forward and Back-Projection Model for Fan-Beam Geometry. L 1-norm double backpropagation adversarial defense. Perceptuall …

Paper Group ANR 783

January 28, 2020

Deep Adversarial Belief Networks. Data Augmentation for Deep Learning-based Radio Modulation Classification. Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. Explaining Sequence-Level Knowledge Distillation as Data-Augmentation for Neural Machine Translation. Wideni …

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 796

January 28, 2020

GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild. Sim2real transfer learning for 3D human pose estimation: motion to the rescue. Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. Bayesian Inference of Spacecraft Pose using …

Paper Group ANR 799

January 28, 2020

Neural ODEs for Image Segmentation with Level Sets. Q-Learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile Networks. One-Class Convolutional Neural Network. Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study. RespNet: A deep learning model for extraction of respiration from photop …

Paper Group ANR 813

January 28, 2020

Concepts and Applications of Conformal Prediction in Computational Drug Discovery. Sparse hierarchical representation learning on molecular graphs. Statistical and machine learning ensemble modelling to forecast sea surface temperature. Exploiting Temporality for Semi-Supervised Video Segmentation. Action Anticipation for Collaborative Environments …

Paper Group ANR 814

January 28, 2020

Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. Data Exploration and Validation on dense knowledge graphs for biomedical research. Adaptive Artificial Intelligent Q&A Platform. Making Good on LSTMs’ Unfulfilled Promise. An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model. CommentsRadar …

Paper Group ANR 820

January 28, 2020

Learning undirected models via query training. Optimal Convergence Rate of Hamiltonian Monte Carlo for Strongly Logconcave Distributions. A Holistic Natural Language Generation Framework for the Semantic Web. Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification. Novel diffusion-derived distance measure …

Paper Group ANR 829

January 28, 2020

Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning. Equivariant Hamiltonian Flows. Proceedings of FACTS-IR 2019. Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders. ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard. Gated Recurrent Neural Network …

Paper Group ANR 830

January 28, 2020

Unsupervised Feature Learning in Remote Sensing. Generic Ontology Design Patterns at Work. Do Autonomous Agents Benefit from Hearing?. Task Classification Model for Visual Fixation, Exploration, and Search. From Dark Matter to Galaxies with Convolutional Networks. Graph Representation Learning via Hard and Channel-Wise Attention Networks. A Simple …

Paper Group ANR 832

January 28, 2020

Deep learning based pulse shape discrimination for germanium detectors. Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. Strategic Prediction with Latent Aggregative Games. End-to-End Adversarial Learning for Intrusion Detection in Computer Networks. Synthesizing Action Sequences for Modifying Model Decisions. An En …

Paper Group ANR 844

January 28, 2020

The Deterministic plus Stochastic Model of the Residual Signal and its Applications. Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction. 4X4 Census Transform. Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion?. Learning from Implicit Information in Natural Language Instructions for Robo …

Paper Group ANR 845

January 28, 2020

Nearest-Neighbor Neural Networks for Geostatistics. Deep Face Recognition Model Compression via Knowledge Transfer and Distillation. Optimisation of Air-Ground Swarm Teaming for Target Search, using Differential Evolution. Projection pursuit based on Gaussian mixtures and evolutionary algorithms. Quadruply Stochastic Gradient Method for Large Scale …

Paper Group ANR 847

January 28, 2020

Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network. Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs. A hybrid text normalization system using multi-head self-attention for mandarin. Cross-Domain Image Manipulation by Demonstration. A Theoreti …

Paper Group ANR 850

January 28, 2020

Geometry of the Hough transforms with applications to synthetic data. On Dropout and Nuclear Norm Regularization. Accelerating Training using Tensor Decomposition. Weighted Sampling for Combined Model Selection and Hyperparameter Tuning. Sequential Dynamic Resource Allocation for Epidemic Control. Latent-Space Laplacian Pyramids for Adversarial Rep …

Paper Group ANR 851

January 28, 2020

On the overestimation of widely applicable Bayesian information criterion. Learning to segment images with classification labels. EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos. Emotional Contribution Analysis of Online Reviews. Prediction Focused Topic Models for Electronic Health Records. Combining RGB and Points to Predict Gr …

Paper Group ANR 853

January 28, 2020

Degraded Historical Documents Images Binarization Using a Combination of Enhanced Techniques. Open Set Domain Adaptation for Image and Action Recognition. Predicting Soil pH by Using Nearest Fields. The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation. On the Vulnerability of CNN Classifiers in EEG-Based BCIs. Develop …