Stochastic Optimization

Paper Group ANR 655

Paper Group ANR 655

January 29, 2020

Multimodal Emotion Recognition Using Deep Canonical Correlation Analysis. Self-Supervised Learning by Cross-Modal Audio-Video Clustering. ACES – Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning. What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use. Eliciting and Enforcing Subjectiv …
Paper Group ANR 687

Paper Group ANR 687

January 29, 2020

Optimization and Manipulation of Contextual Mutual Spaces for Multi-User Virtual and Augmented Reality Interaction. Capuchin: Causal Database Repair for Algorithmic Fairness. Simplex2Vec embeddings for community detection in simplicial complexes. Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. …
Paper Group ANR 704

Paper Group ANR 704

January 29, 2020

Online Forecasting of Total-Variation-bounded Sequences. BERT-CNN: a Hierarchical Patent Classifier Based on a Pre-Trained Language Model. Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies. Automated Multiclass Cardiac Volume Segmentation and Model Generation. Causal Simulations for Uplift Modelin …
Paper Group ANR 705

Paper Group ANR 705

January 29, 2020

Incorporating Priors with Feature Attribution on Text Classification. A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor. Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. Text2Node: a Cross-Domain System for Mapping Arbitrary Phrases to a Taxonomy. Deep Latent Space Lea …
Paper Group ANR 724

Paper Group ANR 724

January 29, 2020

Listening between the Lines: Learning Personal Attributes from Conversations. Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder. On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM. Modeling Confidence in Sequence-to-Sequence Models. Stochastic Conditional Gradient++. Improved Algorithm on Online Cluster …
Paper Group ANR 733

Paper Group ANR 733

January 29, 2020

DeepSWIR: A Deep Learning Based Approach for the Synthesis of Short-Wave InfraRed Band using Multi-Sensor Concurrent Datasets. Spatial-Temporal Graph Convolutional Networks for Sign Language Recognition. On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization. Deep Poetry: A Ch …
Paper Group ANR 750

Paper Group ANR 750

January 29, 2020

FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI. A Strategy for Expert Recommendation From Open Data Available on the Lattes Platform. A Convolutional Network for Sleep Stages Classification. Neuralogram: A Deep Neural Network Based Representation for Audio Signals. Quadruply Stochastic Gr …
Paper Group ANR 764

Paper Group ANR 764

January 29, 2020

Optimal Unsupervised Domain Translation. On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics. Multi-Grained Spatio-temporal Modeling for Lip-reading. Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio. Double Transfer Learning for Breast Cancer Histopatholo …
Paper Group ANR 769

Paper Group ANR 769

January 29, 2020

The Complexity of Making the Gradient Small in Stochastic Convex Optimization. Reference-Based Sequence Classification. On the Importance of Delexicalization for Fact Verification. Attributed Graph Learning with 2-D Graph Convolution. Conversational Product Search Based on Negative Feedback. Distribution-Dependent Analysis of Gibbs-ERM Principle. N …
Paper Group ANR 1042

Paper Group ANR 1042

January 28, 2020

Video Captioning with Text-based Dynamic Attention and Step-by-Step Learning. An adaptive stochastic optimization algorithm for resource allocation. Safe Sample Screening for Robust Support Vector Machine. The Bach Doodle: Approachable music composition with machine learning at scale. Semantics of higher-order probabilistic programs with conditioni …
Paper Group ANR 1047

Paper Group ANR 1047

January 28, 2020

An Exponential Efron-Stein Inequality for Lq Stable Learning Rules. Attributes Guided Feature Learning for Vehicle Re-identification. $S^{2}$-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning. Cross Domain Knowledge Learning with Dual-branch Adversarial Network for Vehicle Re-identification. Bayesian leave-one-out c …
Paper Group ANR 1059

Paper Group ANR 1059

January 28, 2020

Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction. Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data. Effective writing style imitation via combinatorial paraphrasing. Multimodal Logical Inference System for Visual-Textual Entailment. GP-ALPS: Automatic Latent Process …
Paper Group ANR 1063

Paper Group ANR 1063

January 28, 2020

Random CapsNet Forest Model for Imbalanced Malware Type Classification Task. Towards automatic construction of multi-network models for heterogeneous multi-task learning. Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. Reinforcement Learning with Dynamic Boltzmann Softmax Updates. A Geometric Approac …
Paper Group ANR 1064

Paper Group ANR 1064

January 28, 2020

A Note on Bounding Regret of the C$^2$UCB Contextual Combinatorial Bandit. Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes. Distributionally Robust Optimization with Correlated Data from Vector Autoregressive Processes. RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimi …
Paper Group ANR 774

Paper Group ANR 774

January 28, 2020

Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT. Detecting Everyday Scenarios in Narrative Texts. Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network. Connecting and Comparing Language Model Interpolation Techniques. Translating neural signals to text using a Brain-Machine Interface. Infinit …
Paper Group ANR 777

Paper Group ANR 777

January 28, 2020

Distributed Maximization of Submodular plus Diversity Functions for Multi-label Feature Selection on Huge Datasets. Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network. Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. Approximate Dynamic Programming For Linear Systems with …
Paper Group ANR 841

Paper Group ANR 841

January 28, 2020

Toward Metrics for Differentiating Out-of-Distribution Sets. Broad-Coverage Semantic Parsing as Transduction. Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings. Cross-Entropy Adversarial View Adaptation for Person Re-identification. A novel model for query expansion using pseudo-relevant web knowledge. Disentang …
Paper Group ANR 843

Paper Group ANR 843

January 28, 2020

On Privacy Protection of Latent Dirichlet Allocation Model Training. BAGH – Comparative study. Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation. GLADAS: Gesture Learning for Advanced Driver Assistance Systems. Label Mapping Neural Networks with Response Consolidation for Class Incremental Learnin …
Paper Group ANR 865

Paper Group ANR 865

January 28, 2020

Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization. A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning. Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval. Implications of Computer …
Paper Group ANR 895

Paper Group ANR 895

January 28, 2020

3D point cloud registration with shape constraint. ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks. Multitask Soft Option Learning. An Adaptive Weighted Deep Forest Classifier. Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control. DEAM: Adaptive Momentum with Discriminativ …
Paper Group ANR 932

Paper Group ANR 932

January 28, 2020

A Bandit Approach to Posterior Dialog Orchestration Under a Budget. On the estimation of the Wasserstein distance in generative models. On the Difference Between the Information Bottleneck and the Deep Information Bottleneck. Decay Replay Mining to Predict Next Process Events. A Formalization of The Natural Gradient Method for General Similarity Me …
Paper Group ANR 946

Paper Group ANR 946

January 28, 2020

Defending Against Universal Attacks Through Selective Feature Regeneration. TRADI: Tracking deep neural network weight distributions. Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection?. Integrating Lexical Knowledge in Word Embeddings using Sprinkling and Retrofitting. Improving Interpretability of Word Embe …
Paper Group ANR 947

Paper Group ANR 947

January 28, 2020

Learning In Practice: Reasoning About Quantization. Inefficiency of K-FAC for Large Batch Size Training. Graph Representation learning for Audio & Music genre Classification. Solving Rubik’s Cube with a Robot Hand. Physics Enhanced Artificial Intelligence. On the approximation of rough functions with deep neural networks. Leveraging Multimodal Hapt …
Paper Group ANR 967

Paper Group ANR 967

January 28, 2020

A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training. Patch Clustering for Representation of Histopathology Images. Optimal Attacks on Reinforcement Learning Policies. Policy Based Inference in Trick-Taking Card Games. Uncertainty Estimates for Ordinal Embeddings. Gradient Sparification for Asynchronous Di …
Paper Group ANR 975

Paper Group ANR 975

January 28, 2020

Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements. Robustifying deep networks for image segmentation. Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis. Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF …
Paper Group ANR 976

Paper Group ANR 976

January 28, 2020

The Wang-Landau Algorithm as Stochastic Optimization and Its Acceleration. Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving. A Unified Framework of Robust Submodular Optimization. Matrix Product State Based Quantum Classifier. GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving. Re- …
Paper Group ANR 1076

Paper Group ANR 1076

January 27, 2020

Functional Correlations in the Pursuit of Performance Assessment of Classifiers. New nonasymptotic convergence rates of stochastic proximal pointalgorithm for convex optimization problems with many constraints. Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior. Using theoretical ROC curves for analysing mac …
Paper Group ANR 1102

Paper Group ANR 1102

January 27, 2020

The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares. Column generation for the discrete Unit Commitment problem with min-stop ramping constraints. Automated Circuit Approximation Method Driven by Data Distribution. Deep Bayesian Unsupervised Source Separation Based on a Complex Gaussian Mixture …