Data Augmentation

Paper Group AWR 73

Paper Group AWR 73

April 3, 2020

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!. Adaptive Propagation Graph Convolutional Network. Constant-Delay Enumeration for Nondeterministic Document Spanners. The Two-Pass Softmax Algorithm. Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. Predict …
Paper Group AWR 74

Paper Group AWR 74

April 3, 2020

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. Statistical power for cluster analysis. Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. Synonymous Generalization in Sequence-to-Sequence Recurrent Networks. CRYSPNet: Crystal Structure Predictions via Neural Network. NYTWIT: A Dataset o …
Paper Group ANR 133

Paper Group ANR 133

April 2, 2020

Parallel 3DPIFCM Algorithm for Noisy Brain MRI Images. Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop’s Fable Experiment. Fast Kernel k-means Clustering Using Incomplete Cholesky Factorization. PDE-based Group Equivariant Convolutional Neural Networks. Automating the Generation of High School Geometry Proofs using Prolog in an …
Paper Group ANR 137

Paper Group ANR 137

April 2, 2020

Unsupervised Denoising for Satellite Imagery using Wavelet Subband CycleGAN. Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. A hybrid model based on deep LSTM for predi …
Paper Group ANR 146

Paper Group ANR 146

April 2, 2020

A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability. Exploiting Temporal Coherence for Multi-modal Video Categorization. Objective Mismatch in Model-based Reinforcement Learning. Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization. On the Complexity of Minim …
Paper Group ANR 170

Paper Group ANR 170

April 2, 2020

RoutedFusion: Learning Real-time Depth Map Fusion. Automated Anonymisation of Visual and Audio Data in Classroom Studies. VideoSSL: Semi-Supervised Learning for Video Classification. Peeking into occluded joints: A novel framework for crowd pose estimation. Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. Towa …
Paper Group ANR 174

Paper Group ANR 174

April 2, 2020

Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously. Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. Self-Supervised Fast Adaptation for Denoising via Meta-Learning. A Collaborative Learning Framework via Federated …
Paper Group ANR 178

Paper Group ANR 178

April 2, 2020

Device Heterogeneity in Federated Learning: A Superquantile Approach. Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines. Unsupervised Pixel-level Road Defect Detection via Adversarial Image-to-Frequency Transform. Backward Feature Correction: How Deep Learning Performs Deep Learning. Spectral Clustering Revi …
Paper Group ANR 179

Paper Group ANR 179

April 2, 2020

Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs). Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis. On the Compressibility of Affinely Singular Random Vectors. Neuron Shapley: Discovering the Responsible Neurons. MSE-Optimal Neural Network Initializat …
Paper Group ANR 187

Paper Group ANR 187

April 2, 2020

Locally-Adaptive Nonparametric Online Learning. UKARA 1.0 Challenge Track 1: Automatic Short-Answer Scoring in Bahasa Indonesia. Object-Based Image Coding: A Learning-Driven Revisit. Affinity and Diversity: Quantifying Mechanisms of Data Augmentation. Optimizing JPEG Quantization for Classification Networks. Unsupervised Temporal Feature Aggregatio …
Paper Group ANR 188

Paper Group ANR 188

April 2, 2020

Semantic sensor fusion: from camera to sparse lidar information. Using generative adversarial networks to synthesize artificial financial datasets. Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative $α$-Entropy. Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction. Inte …
Paper Group ANR 193

Paper Group ANR 193

April 2, 2020

Distributed Averaging Methods for Randomized Second Order Optimization. Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers. Learned Spectral Computed Tomography. Learning to Transfer Texture from Clothing Images to 3D Humans. Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Transla …
Paper Group ANR 194

Paper Group ANR 194

April 2, 2020

Bounded Regret for Finitely Parameterized Multi-Armed Bandits. Fair Bandit Learning with Delayed Impact of Actions. Distributed Cooperative Decision Making in Multi-agent Multi-armed Bandits. Developing a gender classification approach in human face images using modified local binary patterns and tani-moto based nearest neighbor algorithm. Online L …
Paper Group ANR 210

Paper Group ANR 210

April 2, 2020

Fair Principal Component Analysis and Filter Design. Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning. Search Space of Adversarial Perturbations against Image Filters. Estimating Training Data Influence by Tracking Gradient Descent. …
Paper Group ANR 219

Paper Group ANR 219

April 2, 2020

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis. Deep Sigma Point Processes. Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. Knot Selection in Sparse Gaussian Processes. Fast Depth Estimation for View Synthesis. Weakly-supervised Multi-output Regression via Correlated Gaussian Pr …
Paper Group ANR 231

Paper Group ANR 231

April 2, 2020

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. Predictive online optimisation with applications to optical flow. Depth Map Estimation of Dynamic Scenes Using Prior Depth Information. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. A Model-Based Derivative-Free Approach to Blac …
Paper Group ANR 236

Paper Group ANR 236

April 2, 2020

A Sample Selection Approach for Universal Domain Adaptation. Lifting Interpretability-Performance Trade-off via Automated Feature Engineering. Compositional ADAM: An Adaptive Compositional Solver. Local Nonparametric Meta-Learning. Geometric Dataset Distances via Optimal Transport. Revisiting Meta-Learning as Supervised Learning. Learning to Recons …
Paper Group ANR 250

Paper Group ANR 250

April 2, 2020

Polarizing Front Ends for Robust CNNs. Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation. Exploring Visual Patterns in Projected Human and Machine Decision-Making Paths. Detection of Information Hiding at Anti-Copying 2D Barcodes. The Whole Is Greater Than the Sum of Its Nonrigid Parts. A Federated Learning Framewor …
Paper Group ANR 253

Paper Group ANR 253

April 2, 2020

A Deeper Look into Hybrid Images. A Survey on Edge Intelligence. Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. A Semi-Dynamic Bus Routing Infrastructure based on MBTA Bus Data. Learning To Solve Differential Equations Across Initial Conditions. Analyzing the Noise Robustness of Deep Neural Networks. Computational Methods in Profe …
Paper Group ANR 255

Paper Group ANR 255

April 2, 2020

Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting. Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis. Cybersecurity for Industrial Control Systems: …
Paper Group ANR 260

Paper Group ANR 260

April 2, 2020

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning. Multilevel Acyclic Hypergraph Partitioning. Undersensitivity in Neural Reading Comprehension. Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels. Practical Fast Gradient Sign Attack a …
Paper Group ANR 265

Paper Group ANR 265

April 2, 2020

Time Series Data Augmentation for Deep Learning: A Survey. Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning. Assisted Learning and Imitation Privacy. LGVTON: A Landmark Guided Approach to Virtual Try-On. Statistical Queries and Statistical Algorithms: Foundations and Applications. Cor …
Paper Group ANR 289

Paper Group ANR 289

April 2, 2020

Optimizing Correlated Graspability Score and Grasp Regression for Better Grasp Prediction. T-Net: A Template-Supervised Network for Task-specific Feature Extraction in Biomedical Image Analysis. Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. Batch Stationary Distribution Estimation. The Effect of Data Augmenta …
Paper Group ANR 309

Paper Group ANR 309

April 2, 2020

Marketplace for AI Models. UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation. Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs. Wavesplit: End-to-End Speech Separation by Speaker Clustering. Generalized Embedding Machines for Recommender Systems. Stochastic encoding of graphs in dee …
Paper Group ANR 312

Paper Group ANR 312

April 2, 2020

Harnessing Code Switching to Transcend the Linguistic Barrier. Learning in Networked Control Systems. Adversarial Filters of Dataset Biases. Temporal Information Processing on Noisy Quantum Computers. Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. Investigating Simple Object Representations …
Paper Group ANR 314

Paper Group ANR 314

April 2, 2020

RECAST: Interactive Auditing of Automatic Toxicity Detection Models. Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. Object Relational Graph with Teacher-Recommended Learning for Video Captioning. Quantized Neural Network Inference with Precision Batching. A more abstractive summarization model. Interval Neural Networks as …
Paper Group ANR 319

Paper Group ANR 319

April 2, 2020

Feature-map-level Online Adversarial Knowledge Distillation. Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. StarAI: Reducing incompleteness in the game of Bridge using PLP. Multimodal Data Fusion based on the Global Workspace Theory. Curved Buildings Reconstruction from Airborne LiDAR Data by Matching and Deforming Ge …
Paper Group ANR 325

Paper Group ANR 325

April 2, 2020

FastWordBug: A Fast Method To Generate Adversarial Text Against NLP Applications. TimeConvNets: A Deep Time Windowed Convolution Neural Network Design for Real-time Video Facial Expression Recognition. On the Existence of Characterization Logics and Fundamental Properties of Argumentation Semantics. Lossless Attention in Convolutional Networks for …