Domain Adaptation

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 172

January 31, 2020

Hierarchical stochastic neighbor embedding as a tool for visualizing the encoding capability of magnetic resonance fingerprinting dictionaries. Learning to Answer Ambiguous Questions with Knowledge Graph. Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks. RinQ Fingerprinting: Recurrence-informed …

Paper Group ANR 184

January 31, 2020

Differentiable Sparsification for Deep Neural Networks. Gated neural networks for implied volatility surfaces. Effective Network Compression Using Simulation-Guided Iterative Pruning. AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols. Transformer Based Reinforcement Learning For Games. Turing-Completeness of Dyna …

Paper Group ANR 185

January 31, 2020

Thermostatic control for demand response using distributed averaging and deep neural networks. Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm. A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. Discriminative Clustering for Robust Unsupervised Domain Adaptation. Representat …

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 …

Paper Group ANR 197

January 31, 2020

Copy-Move Forgery Classification via Unsupervised Domain Adaptation. Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation. Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models. Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting. Towards Optimal Structured CNN …

Paper Group ANR 26

January 31, 2020

VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement. Soft Contextual Data Augmentation for Neural Machine Translation. Quality-based Pulse Estimation from NIR Face Video with Application to Driver Monitoring. A Probabilistic Framework to Node-level Anomaly Detection in Communication Networks. ALEX: An Updatable A …

Paper Group ANR 27

January 31, 2020

Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image. Pretrain Soft Q-Learning with Imperfect Demonstrations. Temporal Analysis of Reddit Networks via Role Embeddings. When Labelled Data Hurts: Deep Semi-Supervised Classification with the Graph 1-Laplacian. Knowledge Distillation via Route Constrained Optimization. A …

Paper Group ANR 3

January 31, 2020

High-Performance Deep Learning via a Single Building Block. Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks. A Survey of Deep Learning-based Object Detection. Towards Explainable Deep Neural Networks (xDNN). Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. …

Paper Group ANR 4

January 31, 2020

Cherenkov Detectors Fast Simulation Using Neural Networks. Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling. Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data. FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency. Fast video object segmentation with …

Paper Group ANR 46

January 31, 2020

Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging. Diversified Hidden Markov Models for Sequential Labeling. Deep Residual Reinforcement Learning. Histopathologic Image Processing: A Review. Pointing Novel Objects in Image Captioning. Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectros …

Paper Group ANR 50

January 31, 2020

Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances. Unsupervised Projection Networks for Generative Adversarial Networks. Generating Semantic Adversarial Examples with Differentiable Rendering …

Paper Group ANR 55

January 31, 2020

Predicting colorectal polyp recurrence using time-to-event analysis of medical records. Why Does My Model Fail? Contrastive Local Explanations for Retail Forecasting. Towards robust word embeddings for noisy texts. Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN. A Multiple Continuous Signal Alignment Algorithm with Gaussian …

Paper Group ANR 61

January 31, 2020

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. Domain Adaptation for Enterprise Email Search. Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative. A survey of OpenRefine reconciliation services. Extended probabilistic Rand index and the adjustable moving …

Paper Group ANR 64

January 31, 2020

Efficient predicate invention using shared “NeMuS”. An entropic feature selection method in perspective of Turing formula. Efficient Feature Selection techniques for Sentiment Analysis. Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. Hyperspectral City V1.0 Dataset and Benchmark. Improved Multi-Stage Traini …

Paper Group ANR 74

January 31, 2020

Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). Sketch2code: Generating a website from a paper mockup. Learning for Multi-Type Subspace Clustering. Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. The State and Future of Genetic Improvement. Detection of Re …

Paper Group ANR 77

January 31, 2020

Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. Spatiotemporal Local Propagation. Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization. Gland Segmentation in Histopathological Images by Deep Neural Network. Scaling Limits of Wide Neural Networks …

Paper Group ANR 96

January 31, 2020

Exponential Separations in Local Differential Privacy. Semantic filtering through deep source separation on microscopy images. Adaptive Robust Optimization with Nearly Submodular Structure. Analysis and Improvement of Adversarial Training in DQN Agents With Adversarially-Guided Exploration (AGE). Localized Debiased Machine Learning: Efficient Estim …

Paper Group ANR 97

January 31, 2020

Shared Predictive Cross-Modal Deep Quantization. Can We Derive Explicit and Implicit Bias from Corpus?. A Deterministic Approach to Avoid Saddle Points. Real-time processing of high-resolution video and 3D model-based tracking for remote towers. Abusive Language Detection with Graph Convolutional Networks. A Mean-Field Theory for Kernel Alignment w …

Paper Group ANR 98

January 31, 2020

Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification. Deep Model Predictive Control with Online Learning for Complex Physical Systems. SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. Asynchronous Online Federated Learning for Edge Devices. A Temporal Modul …

Paper Group AWR 370

January 31, 2020

A Logic-Driven Framework for Consistency of Neural Models. Document Expansion by Query Prediction. Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation. SafeLife 1.0: Exploring Side Effects in Complex Environments. Crop Yield Prediction Using Deep Neural …

Paper Group AWR 373

January 31, 2020

Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation. Temporal Convolution for Real-time Keyword Spotting on Mobile Devices. The Spectral Bias of the Deep Image Prior. Differentiable Physics-informed Graph Networks. ViP: Video Platform for PyTorch. Software architecture for YOLO, a creativi …

Paper Group AWR 384

January 31, 2020

Kannada-MNIST: A new handwritten digits dataset for the Kannada language. Adversarial Robustness Against the Union of Multiple Perturbation Models. Two Decades of Network Science as seen through the co-authorship network of network scientists. Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking. Asymmetric Shapley values: incorpo …

Paper Group AWR 385

January 31, 2020

An Alternative Surrogate Loss for PGD-based Adversarial Testing. Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. Noise-tolerant fair classification. Learning Resolution Parameters for Graph Clustering. STCN: Stochastic Temporal Convolutional Networks. Intensity-Free Learning of Temporal Point Processes. Mult …

Paper Group AWR 387

January 31, 2020

Multi-class Classification without Multi-class Labels. Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. Doodle to Search: Practical Zero-Shot Sketch-based Image Retrieval. OpenEDS: Open Eye Dataset. HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation. Provably Robust …

Paper Group AWR 389

January 31, 2020

Orthogonal Statistical Learning. Learning to Transfer: Unsupervised Meta Domain Translation. WONDER: Weighted one-shot distributed ridge regression in high dimensions. TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network. Overcoming Data Limitatio …

Paper Group AWR 394

January 31, 2020

Multiple-image encryption and hiding with an optical diffractive neural network. Handling Syntactic Divergence in Low-resource Machine Translation. How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. Online Learning and Matching fo …

Paper Group AWR 395

January 31, 2020

GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. Scientific Stateme …