Stochastic Optimization

Paper Group ANR 1165

January 27, 2020

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. Deep Sparse Band Selection for Hyperspectral Face Recognition. Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). Interpretable BoW Networks for Adversarial Example Detection. Rescaling and other forms of unsupervised preprocessing introdu …

Paper Group ANR 1168

January 27, 2020

On the Separability of Classes with the Cross-Entropy Loss Function. Deep Workpiece Region Segmentation for Bin Picking. Anchor Loss: Modulating Loss Scale based on Prediction Difficulty. Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines. How Old Are You? Face Age Tr …

Paper Group ANR 1209

January 27, 2020

Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones. Complexity of Stochastic Dual Dynamic Programming. Reduced network extremal ensemble learning (RenEEL) scheme for community detection in complex networks. …

Paper Group ANR 1218

January 27, 2020

Minimizing a Sum of Clipped Convex Functions. Cognitive Functions of the Brain: Perception, Attention and Memory. An Embedding Framework for Consistent Polyhedral Surrogates. An Effective Upperbound on Treewidth Using Partial Fill-in of Separators. KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks. Metamorphic Testing of a Deep …

Paper Group ANR 1233

January 27, 2020

Deep Motion Blur Removal Using Noisy/Blurry Image Pairs. Aspect Category Detection via Topic-Attention Network. Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training. Towards multi-sequence MR image recovery from undersampled k-space data. The Practicality of Stochastic Optim …

Paper Group ANR 1262

January 27, 2020

Parallel Restarted SPIDER – Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity. From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. A Compara …

Paper Group ANR 1284

January 27, 2020

Matrix and tensor decompositions for training binary neural networks. Information Robust Dirichlet Networks for Predictive Uncertainty Estimation. Video-Driven Speech Reconstruction using Generative Adversarial Networks. Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment. Recursive V …

Paper Group ANR 1290

January 27, 2020

Electricity Load Forecasting – An Evaluation of Simple 1D-CNN Network Structures. Learning to Map Nearly Anything. Spatial-Winograd Pruning Enabling Sparse Winograd Convolution. Capacity of the covariance perceptron. Data Selection for Short Term load forecasting. 3D Semantic Scene Completion from a Single Depth Image using Adversarial Training. F …

Paper Group ANR 1298

January 27, 2020

Uncertainty Based Detection and Relabeling of Noisy Image Labels. Improving Sequence-to-Sequence Learning via Optimal Transport. On the Robustness of Human Pose Estimation. Hamiltonian Generative Networks. Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity. Vector Field Neural Networks. Conceptor …

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 1341

January 27, 2020

An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. When can we improve on sample average approximation for stochastic optimization?. Understanding Distributional Ambiguity via Non-robust Chance Constraint. Imbalanced Learning-based Automatic SAR Images Change Detection by Morphologically Supervised PCA-Net. Pattern Recog …

Paper Group ANR 1354

January 26, 2020

Generating Diverse and Informative Natural Language Fashion Feedback. Convolutional Feature Extraction and Neural Arithmetic Logic Units for Stock Prediction. The Collective Advantage for Advancing Communications and Intelligence. On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps. A …

Paper Group ANR 1405

January 26, 2020

Multi-Level Composite Stochastic Optimization via Nested Variance Reduction. Generative Design in Minecraft: Chronicle Challenge. Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal. Learning-based real-time method to looking through scattering medium beyond the memory effect. Multi-Agent Path Finding with Capacity Constraints. …

Paper Group ANR 1406

January 26, 2020

End-to-End Deep Residual Learning with Dilated Convolutions for Myocardial Infarction Detection and Localization. Reinforcement Learning for Portfolio Management. Multi-Target Multiple Instance Learning for Hyperspectral Target Detection. A type of generalization error induced by initialization in deep neural networks. On the Convergence of Project …

Paper Group ANR 1407

January 26, 2020

Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions. Self-supervised Learning for Single View Depth and Surface Normal Estimation. Machine Vision in the Context of Robotics: A Systematic Literature Review. Knowledge Graph Development for Ap …

Paper Group ANR 1427

January 26, 2020

Object-Aware Instance Labeling for Weakly Supervised Object Detection. Large e-retailer image dataset for visual search and product classification. Accurate Global Trajectory Alignment using Poles and Road Markings. Throughput Prediction of Asynchronous SGD in TensorFlow. Real-World Image Datasets for Federated Learning. RevealNet: Seeing Behind Ob …

Paper Group ANR 1437

January 26, 2020

Extreme Tensoring for Low-Memory Preconditioning. Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. A cost-reducing partial labeling estimator in text classification problem. A Visual Programming Paradigm for Abstract Deep Learning Model Development. Analyzing Deep Neural Networks with Symbolic Propagation: Tow …

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 1479

January 26, 2020

Customers Churn Prediction in Financial Institution Using Artificial Neural Network. Machine Learning Based Routing Congestion Prediction in FPGA High-Level Synthesis. Machine Unlearning. Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations. Semi-Supervised Neural Text Generation by Joint Learning of Natural Langu …

Paper Group ANR 1533

January 26, 2020

The African Wildlife Ontology tutorial ontologies: requirements, design, and content. Neural Network Verification for the Masses (of AI graduates). Challenging On Car Racing Problem from OpenAI gym. Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification. Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. VASE: Varia …

Paper Group ANR 1549

January 26, 2020

Structured Pruning of Recurrent Neural Networks through Neuron Selection. How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN. Modeling question asking using neural program generation. Learning Dependency Structures for Weak Supervision Models. Deep Two-path Semi-supervised Learning for …

Paper Group ANR 1580

January 26, 2020

Predictive Ensemble Learning with Application to Scene Text Detection. A Single-MOSFET MAC for Confidence and Resolution (CORE) Driven Machine Learning Classification. Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions. Skeleton-Based Online Action Prediction Using Scale Selection Network. Scene Text Synthesis for Efficient and …

Paper Group ANR 1619

January 25, 2020

A Surprisingly Robust Trick for Winograd Schema Challenge. Inducing Constituency Trees through Neural Machine Translation. Personalizing human activity recognition models using incremental learning. SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization. Importance of user inputs while using incremental lea …

Paper Group ANR 1670

January 25, 2020

Machine Translation in Pronunciation Space. Deep Personalized Re-targeting. Decision Set Optimization and Energy-Efficient MIMO Communications. IoT Network Security from the Perspective of Adversarial Deep Learning. Restyling Data: Application to Unsupervised Domain Adaptation. Fast and Flexible Image Blind Denoising via Competition of Experts. Met …

Paper Group ANR 1672

January 25, 2020

Stability of decision trees and logistic regression. What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. Testing randomness. Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-learning based Defense Framework. Program Synthesis and Semantic Parsing with Learned Code Idioms. Interpretable Self-Atten …

Paper Group ANR 1678

January 25, 2020

Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation. Analysis and Extension of the Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis with Uncertainty. Unsupervised Representation Learning by Predicting Random Distances. A general anomaly detection framework for fleet-based condition m …

Paper Group ANR 1681

January 25, 2020

Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding. Autonomous Highway Driving using Deep Reinforcement Learning. Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification. A Commentary on “Breaking Row and Column Symmetries in Matrix Models”. Transfer Learning-Based Outdoor Position Recove …

Paper Group ANR 1704

January 25, 2020

A Research and Strategy of Remote Sensing Image Denoising Algorithms. Benchmarking Discrete Optimization Heuristics with IOHprofiler. Community Detection for Power Systems Network Aggregation Considering Renewable Variability. Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. Global optimization via inverse distance …