Representation Learning

Paper Group ANR 478

January 30, 2020

Complement Face Forensic Detection and Localization with FacialLandmarks. Knowledge Flow: Improve Upon Your Teachers. Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. First Analysis of Local GD on Heterogeneous Data. Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Ima …

Paper Group ANR 487

January 29, 2020

Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution. Lifelong learning for text retrieval and recognition in historical handwritten document collections. Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. IC-Network: An Inter-layer Collision Ne …

Paper Group ANR 488

January 29, 2020

Region homogeneity in the Logarithmic Image Processing framework: application to region growing algorithms. Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding. Saec: Similarity-Aware Embedding Compression in Recommendation Systems. Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A F …

Paper Group ANR 490

January 29, 2020

Attending to Entities for Better Text Understanding. Quasi-Monte Carlo sampling for machine-learning partial differential equations. Comparing the Performance of the LSTM and HMM Language Models via Structural Similarity. Efficient Dialogue State Tracking by Selectively Overwriting Memory. Towards Generalizable Forgery Detection with Locality-aware …

Paper Group ANR 491

January 29, 2020

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. Does deep learning always outperform simple linear regression in optical imaging?. Optimal mini-batch and step sizes for SAGA. Neural Architecture Search in Embedding Space. Nested Cavity Classifier: performance and remedy. Proximal Distille …

Paper Group ANR 502

January 29, 2020

Winograd Convolution for DNNs: Beyond linear polynomials. Artificial neural networks in action for an automated cell-type classification of biological neural networks. Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles. Adversarial Privacy Preservation under Attribute Inference Attack. Deep Learning Techniques …

Paper Group ANR 523

January 29, 2020

Improving Discrete Latent Representations With Differentiable Approximation Bridges. Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem. MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data. Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach. Inverse R …

Paper Group ANR 525

January 29, 2020

Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach. Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. A spiking neural algorithm for the Network Flow problem. Resource Allocation in Mobility-Aware Federated Learning Networks: A D …

Paper Group ANR 529

January 29, 2020

Seeing and Hearing Egocentric Actions: How Much Can We Learn?. ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. Deep density ratio estimation for change point detection. Towards Distributed Logic Programming based on Computability Logic. On Simulation and Trajectory Prediction with G …

Paper Group ANR 538

January 29, 2020

Quantum Speedup in Adaptive Boosting of Binary Classification. Dying ReLU and Initialization: Theory and Numerical Examples. Graph Embedding VAE: A Permutation Invariant Model of Graph Structure. Learning event representations in image sequences by dynamic graph embedding. Representation Learning of EHR Data via Graph-Based Medical Entity Embedding …

Paper Group ANR 544

January 29, 2020

Learning Relational Representations with Auto-encoding Logic Programs. Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning. Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings. Proximal Langevin Algorithm: Rapid Convergence Under Isoperimetry. LAVAE: Disentangling Location and Appea …

Paper Group ANR 550

January 29, 2020

Is it a Fruit, an Apple or a Granny Smith? Predicting the Basic Level in a Concept Hierarchy. Multi-Objective Pruning for CNNs Using Genetic Algorithm. Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition. Exploration via Sample-Efficient Subgoal Design. Multi-Channel Graph Convolutional Networks. Coloring gra …

Paper Group ANR 560

January 29, 2020

Independent Component Analysis based on multiple data-weighting. Efficient candidate screening under multiple tests and implications for fairness. Unsupervised Features Learning for Sampled Vector Fields. Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning. Adversarial Initialization – when your netw …

Paper Group ANR 561

January 29, 2020

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. KeystoneDepth: Visualizing History in 3D. A stochastic version of Stein Variational Gradient Descent for efficient sampling. Relational Graph Representation Learning for Open-Domain Question Answering. Information Theoretic Model Predictive Q-Learning. An Analysis of S …

Paper Group ANR 564

January 29, 2020

Using Neural Networks for Programming by Demonstration. Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography. Deep Reinforcement Learning for Motion Planning of Mobile Robots. Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Da …

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 572

January 29, 2020

Towards Generating Explanations for ASP-Based Link Analysis using Declarative Program Transformations. A Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm (FS-PeSOA). Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank. Asymptotic Bayes risk for Gaussian mixture in a s …

Paper Group ANR 582

January 29, 2020

Conversational Networks for Automatic Online Moderation. Understanding the Information needs of Social Scientists in Germany. Negative Training for Neural Dialogue Response Generation. Kernel absolute summability is only sufficient for RKHS stability. A Dynamic Strategy Coach for Effective Negotiation. MetaFun: Meta-Learning with Iterative Function …

Paper Group ANR 594

January 29, 2020

MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection. Improving Disentangled Representation Learning with the Beta Bernoulli Process. Semi-Cyclic Stochastic Gradient Descent. An Effective Approach to Unsupervised Machine Translation. Neural Networks Learning and Memorization with (almost) no Over-Parameteriza …

Paper Group ANR 595

January 29, 2020

PointPoseNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds. Composition of Sentence Embeddings:Lessons from Statistical Relational Learning. Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks. LiveSketch: Query Perturbations for Guided Sketch-based Visual Search. Improved Robustness and Safety …

Paper Group ANR 600

January 29, 2020

Using Deep Object Features for Image Descriptions. CHD:Consecutive Horizontal Dropout for Human Gait Feature Extraction. Exploration by Optimisation in Partial Monitoring. Learning 3D Human Body Embedding. Measuring Domain Portability and ErrorPropagation in Biomedical QA. Novel Applications of Factored Neural Machine Translation. Multimodal Classi …

Paper Group ANR 602

January 29, 2020

Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control. Domain-adversarial Network Alignment. Nefnir: A high accuracy lemmatizer for Icelandic. Identifying Editor Roles in Argumentative Writing from Student Revision Histories. Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Se …

Paper Group ANR 606

January 29, 2020

Toward Filament Segmentation Using Deep Neural Networks. Online Learning in Planar Pushing with Combined Prediction Model. NLVR2 Visual Bias Analysis. Convergence to minima for the continuous version of Backtracking Gradient Descent. Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers. AI and Holistic Revi …

Paper Group ANR 607

January 29, 2020

Of Cores: A Partial-Exploration Framework for Markov Decision Processes. Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach. Attenuating Random Noise in Seismic Data by a Deep Learning Approach. Machine Learning Kernel Method from a Quantum Generative Model. Sequence-to-Sequence Natural Language to Humanoid Robot Sig …

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 627

January 29, 2020

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. Nearly-Unsupervised Hashcode Representations for Relation Extraction. Experimenting with Constraint Programming on GPU. Solving a Flowshop Scheduling Problem with Answer Set Programming: Exploiting the Problem to Reduce the Number of Combinations. Imitatio …

Paper Group ANR 633

January 29, 2020

Zero Shot Learning for Multi-Modal Real Time Image Registration. Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective. DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. Geometry of Deep Generative Models for Disentangled Representations. Towards Computing Infere …

Paper Group ANR 638

January 29, 2020

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. Embedding Imputation with Grounded Language Information. Online Variance Reduction with Mixtures. Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation). What Do We Really Need? Degenerating U-Net on Retinal Vessel S …