Distributed Optimization

Paper Group AWR 158

February 1, 2020

A Systematic Comparison of English Noun Compound Representations. Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy. Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization. Sampling from Stochastic Fi …

Paper Group AWR 328

February 1, 2020

Perspective-consistent multifocus multiview 3D reconstruction of small objects. An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization. Multi-marginal Wasserstein GAN. Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage. Automating Whole Brain Histology to …

Paper Group ANR 125

January 31, 2020

Extreme Few-view CT Reconstruction using Deep Inference. A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis. Integrating Learning and Reasoning with Deep Logic Models. Transmitter Classification With Supervised Deep Learning. SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentu …

Paper Group ANR 128

January 31, 2020

Pythia: AI-assisted Code Completion System. Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression. Research on the pixel-based an …

Paper Group ANR 68

January 31, 2020

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Multi-task Learning for Japanese Predicate Argument Structure Analysis. Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents. A Spectral Approach to Unsupervised Object Segmentation in Video. Argument Invention from F …

Paper Group ANR 69

January 31, 2020

Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image. Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable Energy. A Universally Optimal M …

Paper Group AWR 444

January 31, 2020

Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting. Towards Debiasing Fact Verification Models. Learning a Spatio-Temporal Embedding for Video Instance Segmentation. Universally Slimmable Networks and Improved Training Techniques. Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth. …

Paper Group ANR 475

January 30, 2020

Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras. A Soft STAPLE Algorithm Combined with Anatomical Knowledge. Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits. Benanza: Automatic $μ$Benchmark Generation to Compute “Lower-bound” Latency and Inform Optimizations of Deep Learning Models on GPUs. Preparing Less …

Paper Group ANR 509

January 29, 2020

Sum-of-square-of-rational-function based representations of positive semidefinite polynomial matrices. BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation. Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach. Spurious Vanishing Problem in Approximate Vanishing Ideal. Fast Convol …

Paper Group ANR 675

January 29, 2020

Estimating the Mixing Time of Ergodic Markov Chains. Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. Blind Visual Motif Removal from a Single Image. Introduction to Multi-Armed Bandits. Quantum Computation with Machine-Learning-Controlled Quantum Stuff. Regularizing Model-Based Planning with Energy-Based Models. Neu …

Paper Group ANR 734

January 29, 2020

Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data. Byzantine Fault Tolerant Distributed Linear Regression. Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics. Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction. Kernels on fuzzy sets: an overv …

Paper Group ANR 782

January 28, 2020

Boundless: Generative Adversarial Networks for Image Extension. Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model. Sparsity Constrained Distributed Unmixing of Hyperspectral Data. Faster Unsupervised Semantic Inpainting: A GAN Based Approach. Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR …

Paper Group ANR 798

January 28, 2020

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics. Simultaneous Detection and Removal of Dynamic Objects in Multi-view Images. Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images. Modeling Vocabulary for Big Code Machine Learning. Playing a Strategy Game with Knowledge-Base …

Paper Group ANR 837

January 28, 2020

Semi-Implicit Stochastic Recurrent Neural Networks. Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues. Predict Globally, Correct Locally: Parallel-in-Time Optimal Control of Neural Networks. Large-scale Multi-modal Person Identification in Real Unconstrained Environments. Learning Conserved Networks from Flows. Transfer learning fo …

Paper Group ANR 1136

January 27, 2020

Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization. Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect. Self-enhancement of automatic tunnel accident detection (TAD) on CCTV by AI deep-learning. Restless dependent ban …

Paper Group ANR 1177

January 27, 2020

DeepFault: Fault Localization for Deep Neural Networks. Big-Data Clustering: K-Means or K-Indicators?. Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking. Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach. vqSGD: Vector Quantized Stochastic Gradient Descent. Is Fast A …

Paper Group ANR 1248

January 27, 2020

Personalised novel and explainable matrix factorisation. C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. Uncalibrated Deflectometry with a Mobile Device on Extended Specular Surfaces. Feature Fusion for Robust Patch Matching With Compact Binary Descriptors. Modeling Sensorimotor Coordination as Multi-Agent Reinforcement L …

Paper Group ANR 1249

January 27, 2020

Distributed Nesterov gradient methods over arbitrary graphs. Identifying nearby sources of ultra-high-energy cosmic rays with deep learning. First Order Ambisonics Domain Spatial Augmentation for DNN-based Direction of Arrival Estimation. Texture Bias Of CNNs Limits Few-Shot Classification Performance. Scalable Change Retrieval Using Deep 3D Neural …

Paper Group ANR 1299

January 27, 2020

Convex Set Disjointness, Distributed Learning of Halfspaces, and LP Feasibility. The Global Convergence Analysis of the Bat Algorithm Using a Markovian Framework and Dynamical System Theory. Unsupervised Recalibration. PINFER: Privacy-Preserving Inference for Machine Learning. Adversarial Learning with Multiscale Features and Kernel Factorization f …

Paper Group ANR 1310

January 27, 2020

Accurate Congenital Heart Disease Model Generation for 3D Printing. Tuning-Free Disentanglement via Projection. Online Simultaneous Semi-Parametric Dynamics Model Learning. Information-Theoretic Considerations in Batch Reinforcement Learning. A Copula approach for hyperparameter transfer learning. High Throughput Computation of Reference Ranges of …

Paper Group ANR 1337

January 27, 2020

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. Transflow Learning: Repurposing Flow Models Without Retraining. On Universal Features for High-Dimensional Learning and Inference. Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks. Wasserstein Distance Guided Cross-Domain Learning. …

Paper Group ANR 1359

January 26, 2020

CrossNorm: Normalization for Off-Policy TD Reinforcement Learning. Convolutional Relational Machine for Group Activity Recognition. Deep Learning for Distributed Optimization: Applications to Wireless Resource Management. FANTrack: 3D Multi-Object Tracking with Feature Association Network. Evaluating Memento Service Optimizations. Differentially Pr …

Paper Group ANR 1439

January 26, 2020

Patch redundancy in images: a statistical testing framework and some applications. Facial Landmark Correlation Analysis. A Unified Framework for Lifelong Learning in Deep Neural Networks. Optimistic Proximal Policy Optimization. Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation. BMVC 2019: Workshop on Inte …

Paper Group ANR 1466

January 26, 2020

On the Effect of Word Order on Cross-lingual Sentiment Analysis. Design Light-weight 3D Convolutional Networks for Video Recognition Temporal Residual, Fully Separable Block, and Fast Algorithm. Decomposing information into copying versus transformation. Single Training Dimension Selection for Word Embedding with PCA. The Communication Complexity o …

Paper Group ANR 1500

January 26, 2020

Expressiveness and Learning of Hidden Quantum Markov Models. Multi-person Articulated Tracking with Spatial and Temporal Embeddings. A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. Data Proxy Generation for Fast and Efficient Neural Architecture Search. The False Positive Control Lasso. An In-Depth Study on Open-Set …

Paper Group ANR 1615

January 26, 2020

Context-driven Active and Incremental Activity Recognition. Link Prediction with Mutual Attention for Text-Attributed Networks. Federated Learning: Challenges, Methods, and Future Directions. Progressive Gradient Pruning for Classification, Detection and DomainAdaptation. Robust Hierarchical-Optimization RLS Against Sparse Outliers. Few-shot Learni …

Paper Group ANR 1757

January 25, 2020

A posteriori Trading-inspired Model-free Time Series Segmentation. Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection. Solar-Sail Trajectory Design for Multiple Near Earth Asteroid Exploration Based on Deep Neural Networks. An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belie …

Paper Group ANR 1763

January 25, 2020

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. Aerial multi-object tracking by detection using deep association networks. Mixed Strategy Game Model Against Data Poisoning Attacks. Data Poisoning Attack against Knowledge Graph Embedding. Learning Meta Model for Zero- and Few-shot Face Anti-spoofing. Can Machine Learning …