Neural Architecture Search

Paper Group ANR 220

January 30, 2020

Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers. Diagnosis of liver disease using computer-assisted imaging techniques: A Review. Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. Stochastic Prototype Embeddings. Metric-Based Few-Shot Learning for Vide …

Paper Group ANR 221

January 30, 2020

Conditional Segmentation in Lieu of Image Registration. Cross-Sensor and Cross-Spectral Periocular Biometrics: A Comparative Benchmark including Smartphone Authentication. Dense Deformation Network for High Resolution Tissue Cleared Image Registration. Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center …

Paper Group ANR 234

January 30, 2020

Blind Geometric Distortion Correction on Images Through Deep Learning. Improving One-shot NAS by Suppressing the Posterior Fading. Semi-Supervised Semantic Matching. Synthesis of Realistic ECG using Generative Adversarial Networks. Towards Content Transfer through Grounded Text Generation. An Update on Machine Learning in Neuro-oncology Diagnostics …

Paper Group ANR 235

January 30, 2020

Understanding Ancient Coin Images. Rodent: Relevance determination in differential equations. Inverse reinforcement learning conditioned on brain scan. Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints. Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation an …

Paper Group ANR 243

January 30, 2020

Physics Informed Extreme Learning Machine (PIELM) – A rapid method for the numerical solution of partial differential equations. Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks. GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. Phoneme Level Language Models for Sequence Based Low Resource A …

Paper Group ANR 254

January 30, 2020

Asymptotics of Wide Networks from Feynman Diagrams. Transparency in Maintenance of Recruitment Chatbots. Variational Integrator Networks for Physically Structured Embeddings. Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges. Inserting Videos into Videos. Probabilistic Neural Architecture Search. A Fam …

Paper Group ANR 262

January 30, 2020

Which principal components are most sensitive to distributional changes?. Continuous Control with Contexts, Provably. Converged Deep Framework Assembling Principled Modules for CS-MRI. Masked-RPCA: Sparse and Low-rank Decomposition Under Overlaying Model and Application to Moving Object Detection. Compressed Sensing MRI via a Multi-scale Dilated Re …

Paper Group ANR 263

January 30, 2020

Extreme Language Model Compression with Optimal Subwords and Shared Projections. Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads. Prediction with Unpredictable Feature Evolution. Permutation-invariant Feature Restructurin …

Paper Group ANR 301

January 30, 2020

RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. Temporal and Aspectual Entailment. Projectron – A Shallow and Interpretable Network for Classifying Medical Images. Justification-Based Reliability in Machine Learning. Improving Limited Angle CT Reconstruction with a Robust GAN Prior. Literature Review: Human Segmentation with Static …

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 319

January 30, 2020

Discovery and Separation of Features for Invariant Representation Learning. Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data. Modeling somatic computation with non-neural bioelectric networks. Learning from Bandit Feedback: An Overview of the State-of-the-art. Implicit Regularization for Optimal Sparse …

Paper Group ANR 325

January 30, 2020

Exascale Deep Learning to Accelerate Cancer Research. Learning Neurosymbolic Generative Models via Program Synthesis. Noisy, Greedy and Not So Greedy k-means++. Community detection in node-attributed social networks: a survey. Analysis of Bias in Gathering Information Between User Attributes in News Application. SFNet: Learning Object-aware Semanti …

Paper Group ANR 375

January 30, 2020

An Algorithm for Approximating Continuous Functions on Compact Subsets with a Neural Network with one Hidden Layer. On Norm-Agnostic Robustness of Adversarial Training. Homogeneous Linear Inequality Constraints for Neural Network Activations. Quantum Inflation: A General Approach to Quantum Causal Compatibility. Scalable Reinforcement-Learning-Base …

Paper Group ANR 390

January 30, 2020

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. Reinforcement Learning with Non-uniform State Representations for Adaptive Search. Rate-Distortion Optimization Guided Autoencoder for Isometric Embedding in Euclidean Latent Space. Learning to Learn Semantic Parsers from Natural Language Supervision. Counterfactual diag …

Paper Group ANR 407

January 30, 2020

Zero Shot Learning on Simulated Robots. Robust Regression via Online Feature Selection under Adversarial Data Corruption. Latent-Variable Generative Models for Data-Efficient Text Classification. Implicit Regularization in Over-parameterized Neural Networks. Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Process …

Paper Group ANR 418

January 30, 2020

MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning. Skeleton-based Gait Index Estimation with LSTMs. Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN). Differentially Private Model Publishing for Deep Learning. Schrödinger Bridge Samplers. L …

Paper Group ANR 423

January 30, 2020

A maximum principle argument for the uniform convergence of graph Laplacian regressors. Seeding the Singularity for A.I. Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem. Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects. Technical Report: Co-learning of …

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 437

January 30, 2020

Characteristic Regularisation for Super-Resolving Face Images. Wasserstein Distance Based Domain Adaptation for Object Detection. Activation Adaptation in Neural Networks. Optimal initialization of K-means using Particle Swarm Optimization. Low-Rank Approximation from Communication Complexity. Memory-Augmented Recurrent Neural Networks Can Learn Ge …

Paper Group ANR 441

January 30, 2020

Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network. Using musical relationships between chord labels in automatic chord extraction tasks. Identifying Emotions from Walking using Affective and Deep Features. A Framework for Evaluating Snippet Generation for Dataset Search. Variational Coupling Revisited: Simpler …

Paper Group ANR 456

January 30, 2020

Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. PAG-Net: Progressive Attention Guided Depth Super-resolution Network. Eye-based Continuous Affect Prediction. Fast Task-Aware Architecture Inference. SRM : A Style-based Recalibration Module for Convolutional Neural Networks. Scalable Variational Gaussian …

Paper Group ANR 485

January 29, 2020

HEAD-QA: A Healthcare Dataset for Complex Reasoning. Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities. Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. SGD: Decentralized Byzantine Resilience. EPNAS: Efficient Progressive Neural Architecture Search. Sensor Fusion: Gate …

Paper Group ANR 489

January 29, 2020

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. Local block-wise self attention for normal organ segmentation. Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening. Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout. Individualized Multilayer Tensor Le …

Paper Group ANR 491

January 29, 2020

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks. Does deep learning always outperform simple linear regression in optical imaging?. Optimal mini-batch and step sizes for SAGA. Neural Architecture Search in Embedding Space. Nested Cavity Classifier: performance and remedy. Proximal Distille …

Paper Group ANR 496

January 29, 2020

Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces. Principal Component Properties of Adversarial Samples. Atrial Fibrillation Detection Using Deep Features and Convolutional Networks. Causal Belief Decomposition for Planning with Sensing: Completeness Results and Practical Approximation. Observe Before Play: Multi-armed B …

Paper Group ANR 539

January 29, 2020

How Good is SGD with Random Shuffling?. Connecting exciton diffusion with surface roughness via deep learning. On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment. Bayesian sparse convex clustering via global-local shrinkage priors. NASIB: Neural Archit …

Paper Group ANR 540

January 29, 2020

An Automated Deep Learning Approach for Bacterial Image Classification. Embarrassingly parallel MCMC using deep invertible transformations. Region and Object based Panoptic Image Synthesis through Conditional GANs. To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. 2SDR: Two Stage Dimension Reduction to Denoise Cryo-EM Im …

Paper Group ANR 559

January 29, 2020

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. Model Similarity Mitigates Test Set Overuse. Protecting GANs against privacy attacks by preventing overfitting. One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation. Joint Adversarial Training: Incorporating both Spatial and P …