Imputation

Paper Group ANR 555

January 29, 2020

Fast Regularity-Constrained Plane Reconstruction. Multi-Task Networks With Universe, Group, and Task Feature Learning. CLAREL: classification via retrieval loss for zero-shot learning. Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving. Adversarial Approximate Inference for Speech to Electroglottograph …

Paper Group ANR 617

January 29, 2020

Pose estimation and bin picking for deformable products. Salient Slices: Improved Neural Network Training and Performance with Image Entropy. Cascaded Revision Network for Novel Object Captioning. Data Valuation using Reinforcement Learning. Global Optimality Guarantees For Policy Gradient Methods. Motion Generation Considering Situation with Condi …

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 …

Paper Group ANR 722

January 29, 2020

Improved Document Modelling with a Neural Discourse Parser. Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. Analysis of Software Engineering for Agile Machine Learning Projects. Ludwig: a type-based declarative deep learning toolbox. D …

Paper Group ANR 740

January 29, 2020

One-dimensional Deep Image Prior for Time Series Inverse Problems. A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data. Detecting Machine-Translated Paragraphs by Matching Similar Words. Subspace Robust Wasserstein Distances. Training recur …

Paper Group ANR 887

January 28, 2020

Gated-Dilated Networks for Lung Nodule Classification in CT scans. SGAS: Sequential Greedy Architecture Search. TensorNetwork for Machine Learning. Fast End-to-End Wikification. Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Pola …

Paper Group ANR 899

January 28, 2020

A Method to Generate Synthetically Warped Document Image. Assigning Medical Codes at the Encounter Level by Paying Attention to Documents. Imputation estimators for unnormalized models with missing data. Decentralized Federated Learning: A Segmented Gossip Approach. Automating Predictive Modeling Process using Reinforcement Learning. Toward a bette …

Paper Group ANR 901

January 28, 2020

The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles’ Heel of Cognitive Networks?. Deep Anchored Convolutional Neural Networks. The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. Time series cluster kernels to exploit informative missingness and incomplete label information. Cl …

Paper Group ANR 954

January 28, 2020

Affine Disentangled GAN for Interpretable and Robust AV Perception. Learning Scalable and Precise Representation of Program Semantics. Deep Ordinal Reinforcement Learning. Scalable Influence Estimation Without Sampling. Site-specific graph neural network for predicting protonation energy of oxygenate molecules. InfoGraph: Unsupervised and Semi-supe …

Paper Group ANR 996

January 28, 2020

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences. Watch, Listen and Tell: Multi-modal Weakly Supervised Dense Event Captioning. Robust Super-Resolution GAN, with Manifold-based and Perception Loss. Blood lactate concentration prediction in critical care patients: handling missing values. …

Paper Group ANR 1085

January 27, 2020

Composing Neural Algorithms with Fugu. Capturing Object Detection Uncertainty in Multi-Layer Grid Maps. Towards automated symptoms assessment in mental health. Deep Neural Networks with Auxiliary-Model Regulated Gating for Resilient Multi-Modal Sensor Fusion. BayesNAS: A Bayesian Approach for Neural Architecture Search. Polynomial Neural Networks a …

Paper Group ANR 1086

January 27, 2020

VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points. Energy-Based Continuous Inverse Optimal Control. AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data. Neural Network Based Parameter Estimation Method for the Pareto/NBD Model. Compressing GANs using Knowledge Distillation. …

Paper Group ANR 1106

January 27, 2020

Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition. Efficient data augmentation using graph imputation neural networks. Multiple Futures Prediction. Best-First Width Search for Multi Agent Privacy-preserving Planning. Deterministic and Bayesian Neural Networks for Low-lat …

Paper Group ANR 1154

January 27, 2020

Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. Ordinal Regression as Structured Classification. Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods. Controlling for Biasing Signals in Images for Prognostic Models: Survival Predictions for Lung …

Paper Group ANR 1189

January 27, 2020

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks. Training Deep Learning Models via Synthetic Data: Application in Unmanned Aerial Vehicles. DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators. Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreas …

Paper Group ANR 1301

January 27, 2020

Towards Making Deep Transfer Learning Never Hurt. Hypergraph Partitioning With Embeddings. Unsupervised Adversarial Image Inpainting. Kernel and Rich Regimes in Overparametrized Models. Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks. Recurrent Instance Segmentation using Sequences of Referri …

Paper Group ANR 1326

January 27, 2020

Weather event severity prediction using buoy data and machine learning. Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation. Measuring Mother-Infant Emotions By Audio Sensing. Aggregated Hold-Out. Improving Visual Feature Extraction in Glacial Environments. Online Learning with Diverse User Preferences. NeoNav: Impro …

Paper Group ANR 1344

January 27, 2020

Cooperative coevolution of real predator robots and virtual robots in the pursuit domain. Momentum-Net: Fast and convergent iterative neural network for inverse problems. Efficient Decision-based Black-box Adversarial Attacks on Face Recognition. The Challenge of Imputation in Explainable Artificial Intelligence Models. Cost-aware Multi-objective B …

Paper Group ANR 1355

January 26, 2020

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks. Flash Lightens Gray Pixels. Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation. MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry. Fast acoustic scattering using convolutional neural networks. Fine-grained eval …

Paper Group ANR 1360

January 26, 2020

Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model. Efficient Discrete Supervised Hashing for Large-scale Cross-modal Retrieval. Variational Spectral Graph Convolutional Networks. Deep Physiological State Space Model for Clinical Forecasting. BAOD: Budget-Aware Object Detect …

Paper Group ANR 1368

January 26, 2020

PyHessian: Neural Networks Through the Lens of the Hessian. Variational Conditional GAN for Fine-grained Controllable Image Generation. Fourier-CPPNs for Image Synthesis. Spatial-Aware Non-Local Attention for Fashion Landmark Detection. Capacity allocation through neural network layers. Ranking architectures using meta-learning. Drug-Drug Adverse E …

Paper Group ANR 1431

January 26, 2020

Query-Focused Scenario Construction. A Unified Framework for Marketing Budget Allocation. Generative Models for Automatic Chemical Design. RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data. Accelerating Reinforcement Learning with Suboptimal Guidance. On sample complexity of neural networks. Turbo Learning Framework for …

Paper Group ANR 1456

January 26, 2020

Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. Provably Efficient Imitation Learning from Observation Alone. Optimal Passenger-Seeking Policies on E-hailing Platforms Using Markov Decision Process and Imitation Learning. General Supervision via Probabilistic Transformations. Efficiently u …

Paper Group ANR 1609

January 26, 2020

Virtual organelle self-coding for fluorescence imaging via adversarial learning. Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks. Combining Anatomical and Functional Networks for N …

Paper Group ANR 1612

January 26, 2020

Partially Linear Additive Gaussian Graphical Models. Optimal Clustering with Missing Values. Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs. Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning. Uncoupled Regression from Pairwise Comparison Data. Multilingu …

Paper Group ANR 1637

January 25, 2020

Computational Socioeconomics. Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain. Fitted Q-Learning in Mean-field Games. Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. Generalised learning of time-series: Ornstein-Uhlenbeck processes. Vi …

Paper Group ANR 1684

January 25, 2020

Unsupervised Method to Localize Masses in Mammograms. Aligning Biomedical Metadata with Ontologies Using Clustering and Embeddings. Interpretable Text Classification Using CNN and Max-pooling. Time Series Imputation. Predicting Specificity in Classroom Discussion. Information Bottleneck and its Applications in Deep Learning. Segmentation is All You …

Paper Group NAWR 27

January 25, 2020

Preparing SNACS for Subjects and Objects. Differentiable Cloth Simulation for Inverse Problems. Compositional Plan Vectors. Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling. Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model. Rhetorically Controlled Encoder-D …