Data Augmentation

Paper Group ANR 257

January 30, 2020

Characterizing the Social Interactions in the Artificial Bee Colony Algorithm. A comparison of Deep Learning performances with other machine learning algorithms on credit scoring unbalanced data. What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. Distributed SGD Generalizes Well Under Asynchrony. Superposition as …

Paper Group ANR 279

January 30, 2020

An Automated Spectral Clustering for Multi-scale Data. PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis. Group Average Treatment Effects for Observational Studies. A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017. Deep Lea …

Paper Group ANR 290

January 30, 2020

Incremental Online Spoken Language Understanding. Iterative Delexicalization for Improved Spoken Language Understanding. A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification. A Taxonomy of Channel Pruning Signals in CNNs. Energy-Aware Analog Aggregation for Federated Learning with Redundant Data. LivDet in Action - Fi …

Paper Group ANR 293

January 30, 2020

Learning partially ranked data based on graph regularization. Visualizing Semantic Structures of Sequential Data by Learning Temporal Dependencies. Efficient two step optimization for large embedded deformation graph based SLAM. Joint Segmentation and Path Classification of Curvilinear Structures. Confidence Regions in Wasserstein Distributionally …

Paper Group ANR 297

January 30, 2020

A Framework for Evaluating Agricultural Ontologies. Equations Derivation of VINS-Mono. Hyperlink Regression via Bregman Divergence. Identifying Adversarial Sentences by Analyzing Text Complexity. Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models. Predicting Louisiana Public High School …

Paper Group ANR 298

January 30, 2020

Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation. Curvature: A signature for Action Recognition in Video Sequences. Deep Compressed Sensing. Learning robust visual representations using data augmentation invariance. Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accu …

Paper Group ANR 307

January 30, 2020

MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection. Annealing for Distributed Global Optimization. Langevin Monte Carlo without smoothness. Saliency Methods for Explaining Adversarial Attacks. TiK-means: $K$-means clustering for skewed groups. A Machine Learning Model for Long-Term Power Gen …

Paper Group ANR 312

January 30, 2020

Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. Synchronous Transformers for End-to-End Speech Recognition. The sharp, the flat and the shallow: Can weakly interacting agents learn to escape bad …

Paper Group ANR 316

January 30, 2020

Thwarting finite difference adversarial attacks with output randomization. Real-time Video Summarization on Commodity Hardware. Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation. An Abstraction Model for Semantic Segmentation Algorithms. PProCRC: Probabilistic Collaboration of Image Patches. Comp …

Paper Group ANR 321

January 30, 2020

Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks. Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features. Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation. …

Paper Group ANR 322

January 30, 2020

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations. OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. Sparse inversion for derivative of log determinant. BADAM: A Public Dataset for Baseline Detection in Arabic-script Manuscripts. Robust learning with implicit residual networks. Moti …

Paper Group ANR 335

January 30, 2020

A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access. Distributed Learning of Deep Neural Networks using Independent Subnet Training. Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network. A Variation …

Paper Group ANR 339

January 30, 2020

Interaction-and-Aggregation Network for Person Re-identification. UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data. K-BERT: Enabling Language Representation with Knowledge Graph. Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference. Attentive Spatio-Temporal Representation Learning for Diving Classification. …

Paper Group ANR 347

January 30, 2020

SANTLR: Speech Annotation Toolkit for Low Resource Languages. Global Guarantees for Blind Demodulation with Generative Priors. Image Resizing by Reconstruction from Deep Features. Towards Explainable AI Planning as a Service. FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger D …

Paper Group ANR 352

January 30, 2020

Learning Model Bias. Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network. Bregman-divergence-guided Legendre exponential dispersion model with finite cumulants (K-LED). Flow Rate Control in Smart District Heating Systems Using Deep Reinforcement Learning. On the Convergence of SARAH …

Paper Group ANR 358

January 30, 2020

A Weighted Functional Object-Oriented Network for Task Planning. Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives. Effective Integration of Symbolic and Connectionist Approaches through a Hybrid Representation. Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture. …

Paper Group ANR 359

January 30, 2020

Towards Precise End-to-end Weakly Supervised Object Detection Network. Event-based attention and tracking on neuromorphic hardware. A Dual-Staged Context Aggregation Method Towards Efficient End-To-End Speech Enhancement. Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization. Automatically Evaluating Balance: A Machine Lea …

Paper Group ANR 363

January 30, 2020

Water Distribution System Design Using Multi-Objective Particle Swarm Optimisation. Causal statistical modeling and calculation of distribution functions of classification features. Can Attention Masks Improve Adversarial Robustness?. Speaker diarisation using 2D self-attentive combination of embeddings. Modeling Food Popularity Dependencies using …

Paper Group ANR 365

January 30, 2020

Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. A Theory of Uncertainty Variables for State Estimation and Inference. Applying Abstract Argumentation Theory to Cooperative Game Theory. Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set. Enhancing the …

Paper Group ANR 366

January 30, 2020

Corpus-Level End-to-End Exploration for Interactive Systems. Automatic Driver Identification from In-Vehicle Network Logs. Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. Decentralised Multi-Demic Evolutionary Approach to the Dynamic Multi-Agent Travelling Salesman Problem. TG-PSM: Tunable Greedy Packet Sequence Morphing Base …

Paper Group ANR 377

January 30, 2020

Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models. Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection. Diversity in Fashion Recommendation using Semantic Parsing. Anti-Confusing: Region-Aware Network for Human Pose Estimation. Minimax Weight and Q-Function Learning for Off-Po …

Paper Group ANR 400

January 30, 2020

Dense Dilated Network with Probability Regularized Walk for Vessel Detection. Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis. Efficient crowdsourcing of crowd-generated microtasks. A new algorithm for shape matching and pattern recognition using dynamic programming. Evalua …

Paper Group ANR 413

January 30, 2020

Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. Black-Box Complexity of the Binary Value Function. Bridging the Gap between Training and Inference for Neural Machine Translation. Characterizing the impact of geometric properties of word embeddings on task performance. The Role of Interactivity in Local Differential Priv …

Paper Group ANR 416

January 30, 2020

On the Computational Power of RNNs. Interpretable Almost-Matching-Exactly With Instrumental Variables. Learning Deterministic Weighted Automata with Queries and Counterexamples. Unbiased estimators for random design regression. Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling. Benchmarking the Performance and Power of AI Acceler …

Paper Group ANR 417

January 30, 2020

Improving Natural Language Inference with a Pretrained Parser. A Categorisation of Post-hoc Explanations for Predictive Models. Low-Cost Outdoor Air Quality Monitoring and In-Field Sensor Calibration. A Time Series Analysis of Emotional Loading in Central Bank Statements. Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split V …

Paper Group ANR 426

January 30, 2020

Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks. RBED: Reward Based Epsilon Decay. The Source-Target Domain Mismatch Problem in Machine Translation. Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture. A Deep Generative Model of Speech Complex Spectrograms. Multimodal …

Paper Group ANR 429

January 30, 2020

Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection. Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration. An AI-based, Multi-stage detection system of banking botnets. Federated Learning with Bayesian Differential Privacy. A Novel Adap …

Paper Group ANR 433

January 30, 2020

Deep Sparse Coding for Non-Intrusive Load Monitoring. Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. Resource production of written forms of Sign Languages by a user-centered editor, SWift (SignWriting improved fast transcriber). Intelligent Systems Design for Malware Classification Under Adversarial Conditi …