Image Classification

Paper Group ANR 113

January 31, 2020

4D X-Ray CT Reconstruction using Multi-Slice Fusion. A blockchain-orchestrated Federated Learning architecture for healthcare consortia. Painting with baryons: augmenting N-body simulations with gas using deep generative models. Simultaneously Learning Architectures and Features of Deep Neural Networks. Gating Revisited: Deep Multi-layer RNNs That …

Paper Group ANR 122

January 31, 2020

MgNet: A Unified Framework of Multigrid and Convolutional Neural Network. Theoretical guarantees for sampling and inference in generative models with latent diffusions. Scheduled Sampling for Transformers. Hard-Mining Loss based Convolutional Neural Network for Face Recognition. A Performance Comparison of Data Mining Algorithms Based Intrusion Det …

Paper Group ANR 123

January 31, 2020

Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients. Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model. A Knowledge Graph-based Approach for Exploring the …

Paper Group ANR 124

January 31, 2020

Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making. Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. Exploring applications of deep reinforcement learning for real-world autonomous driving systems. Point Attention Network for Semantic Segmentati …

Paper Group ANR 125

January 31, 2020

Extreme Few-view CT Reconstruction using Deep Inference. A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis. Integrating Learning and Reasoning with Deep Logic Models. Transmitter Classification With Supervised Deep Learning. SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentu …

Paper Group ANR 127

January 31, 2020

Visualization approach to assess the robustness of neural networks for medical image classification. Cursive Multilingual Characters Recognition Based on Hard Geometric Features. Finding Syntactic Representations in Neural Stacks. Deep Reinforcement Learning for Distributed Uncoordinated Cognitive Radios Resource Allocation. Joint Object and State …

Paper Group ANR 128

January 31, 2020

Pythia: AI-assisted Code Completion System. Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. Research on the pixel-based an …

Paper Group ANR 133

January 31, 2020

Convergence rates for optimised adaptive importance samplers. DAZSL: Dynamic Attributes for Zero-Shot Learning. Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. Identifying Offensive Posts and Targeted Offense from Twitter. AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. The Semant …

Paper Group ANR 134

January 31, 2020

Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs). A Promotion Method for Generation Error Based Video Anomaly Detection. Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks. Sentiment Analysis Challenges in Persian Language. Rectified Decision Trees: Towards Interpretabilit …

Paper Group ANR 135

January 31, 2020

Approximation Ratios of Graph Neural Networks for Combinatorial Problems. Ranking variables and interactions using predictive uncertainty measures. Toward a Standard Interface for User-Defined Scheduling in OpenMP. BCMA-ES: A Bayesian approach to CMA-ES. Knowledge Distillation in Document Retrieval. Learning-based Model Predictive Control for Safe …

Paper Group ANR 136

January 31, 2020

Translating Visual Art into Music. Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations. WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. Combining Parametric and Nonparametric Models for Off-Policy Evaluation. PUTWorkbench: Analysing Privacy in AI-intensive Systems. A Decentralized Proximal Point-type Method …

Paper Group ANR 137

January 31, 2020

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. Understanding Sparse JL for Feature Hashing. Image Detection and Digit Recognition to solve Sudoku as a Constraint Satisfac …

Paper Group ANR 139

January 31, 2020

Designing a Symbolic Intermediate Representation for Neural Surface Realization. Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation. Efficient Continual Learning in Neural Networks with Embedding Regularization. CoachAI: A Project for Microscopic Badminton Match Data Collection and Tactical Analysis. Design and U …

Paper Group ANR 141

January 31, 2020

Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems. Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression. Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination. Neural data-to-text gener …

Paper Group ANR 142

January 31, 2020

Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems. Prediction of Bottleneck Points for Manipulation Planning in Cluttered Environment using a 3D Convolutional Neural Network. Multiple Sclerosis Lesion Synthesis in MRI using an encoder-decoder U-NET. Task-Motion Planning for Navigation in Belief Spa …

Paper Group ANR 144

January 31, 2020

GraphSAC: Detecting anomalies in large-scale graphs. Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. Heuristic Black-box Adversarial Attacks on Video Recognition Models. Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints. SMART: Skeletal Motion …

Paper Group ANR 158

January 31, 2020

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. A Review of methods for Textureless Object Recognition. CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks. Comparing Samples from …

Paper Group ANR 159

January 31, 2020

Universal Approximation with Deep Narrow Networks. VGG Fine-tuning for Cooking State Recognition. Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery. Universal, transferable and targeted adversarial attacks. Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains. EILearn: Learning Increme …

Paper Group ANR 160

January 31, 2020

Sentiment analysis model for Twitter data in Polish language. Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction. Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content. Online Multi-target regression trees with stacked leaf models. Learning …

Paper Group ANR 161

January 31, 2020

Learning to Select, Track, and Generate for Data-to-Text. Conditional Hierarchical Bayesian Tucker Decomposition. Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework. Clustering by Directly Disentangling Latent Space. Topology Based Scalable Graph Kernels. Locally Accelerated Conditional Gradients. Label Aware Grap …

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 169

January 31, 2020

Refinements of Barndorff-Nielsen and Shephard model: an analysis of crude oil price with machine learning. Streaming Adaptive Nonparametric Variational Autoencoder. Effective Data Augmentation with Multi-Domain Learning GANs. Knowledge Query Network: How Knowledge Interacts with Skills. Assessing the Impact of a User-Item Collaborative Attack on Cl …

Paper Group ANR 17

January 31, 2020

Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features. Autonomous Removal of Perspective Distortion for Robotic Elevator Button Recognition. Decoding Cosmological Information in Weak-Lensing Mass Maps with Generative Adversarial Networks. Breaking the cycle – Colleagues are all you need. C …

Paper Group ANR 173

January 31, 2020

Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach. Sample Complexity Lower Bounds for Linear System Identification. Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. Sequence Labeling Parsing by Learning Across Representations. How Large Are Lions? Inducing Distributions over Quanti …

Paper Group ANR 174

January 31, 2020

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. Spectral Analysis Of Weighted Laplacians Arising In Data Clustering. Neural Network Based Explicit MPC for Chemical Reactor Control. Generative Adversarial Networks: recent developments. A Review of Stochastic Block Models and Ext …

Paper Group ANR 177

January 31, 2020

A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution. Privacy-Preserving Action Recognition using Coded Aperture Videos. Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification. Qini-based Uplift Regression. Interaction is necessary for distributed learning with priv …

Paper Group ANR 181

January 31, 2020

Prudence When Assuming Normality: an advice for machine learning practitioners. Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings. Bayesian Optimized 1-Bit CNNs. STEFANN: Scene Text Editor using Font Adaptive Neural Network …

Paper Group ANR 196

January 31, 2020

An Online Sample Based Method for Mode Estimation using ODE Analysis of Stochastic Approximation Algorithms. Instance-wise Depth and Motion Learning from Monocular Videos. Database Meets Deep Learning: Challenges and Opportunities. Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems. Gated Linear Networks. To …