Continual Learning

Paper Group AWR 111

October 21, 2019

Temporal Human Action Segmentation via Dynamic Clustering. Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. Crawling in Rogue’s dungeons with (partitioned) A3C. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. PoPPy: A Point Process Toolbox Based on PyTo …

Paper Group AWR 27

October 21, 2019

Deep Dynamical Modeling and Control of Unsteady Fluid Flows. Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements. Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines. Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. A Hierarchical Multi-task Approach f …

Paper Group AWR 43

October 21, 2019

Reinforced Continual Learning. Hierarchical Discrete Distribution Decomposition for Match Density Estimation. simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. Memorize or generalize? Searching for a compositional RNN in a haystack. Learning Tree-based Deep Model for Recommender Systems. Characte …

Paper Group AWR 55

October 21, 2019

Molecular generative model based on conditional variational autoencoder for de novo molecular design. The Importance of Being Recurrent for Modeling Hierarchical Structure. A Differential Privacy Mechanism Design Under Matrix-Valued Query. Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. Proximity Forest: An effective …

Paper Group ANR 102

October 20, 2019

Algorithmic Bio-surveillance For Precise Spatio-temporal Prediction of Zoonotic Emergence. Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation. Exploiting deep residual networks for human action recognition from skeletal data. ScaffoldNet: Detecting and Classifying Biomedical Polymer-Based Scaffolds via a Convolutiona …

Paper Group ANR 104

October 20, 2019

Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering. A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection. Long-term Large-scale Mapping and Localization Using maplab. Volumetric performance capture from minimal camera viewpoints. Infill Criterion for Multimodal Model-Based Op …

Paper Group AWR 204

October 20, 2019

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks. Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering. Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vec …

Paper Group AWR 207

October 20, 2019

Self-Imitation Learning. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. Cross-Target Stance Classification with Self-Attention Networks. Appendix - Recommended Statistical Significance Tests for NLP Tasks. Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. Semantic Human …

Paper Group AWR 208

October 20, 2019

Attentive Neural Network for Named Entity Recognition in Vietnamese. Disentangling Disentanglement in Variational Autoencoders. The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models. Implicit Argument Prediction with Event Knowledge. Intel nGraph: An Intermediate Representation, Compiler, and Executor fo …

Paper Group AWR 255

October 20, 2019

With Friends Like These, Who Needs Adversaries?. Local Gradients Smoothing: Defense against localized adversarial attacks. Unsupervised Sense-Aware Hypernymy Extraction. Task Agnostic Continual Learning Using Online Variational Bayes. Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. Autoconj: Recognizing and Exploiting …

Paper Group AWR 320

October 20, 2019

Two Local Models for Neural Constituent Parsing. Detecting Malicious PowerShell Commands using Deep Neural Networks. Data Augmentation using Random Image Cropping and Patching for Deep CNNs. Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. Shift-Net: Image Inpainting via Deep Feature Rearrangement. DeepFlux for Skele …

Paper Group ANR 181

October 19, 2019

Eliciting Worker Preference for Task Completion. Continuously Constructive Deep Neural Networks. Seed-Point Based Geometric Partitioning of Nuclei Clumps. The Sparse Manifold Transform. On Polynomial time Constructions of Minimum Height Decision Tree. Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data. Self-S …

Paper Group ANR 235

October 19, 2019

A neuro-inspired architecture for unsupervised continual learning based on online clustering and hierarchical predictive coding. Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment. A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR imag …

Paper Group ANR 269

October 19, 2019

Multi-Source Neural Machine Translation with Data Augmentation. Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks. On the Transferability of Representations in Neural Networks Between Datasets and Tasks. Towards Understanding the Generalization Bias of Two Layer Convolutional Li …

Paper Group ANR 270

October 19, 2019

Partitioned Variational Inference: A unified framework encompassing federated and continual learning. BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. The Barbados 2018 List of Open Issues in Continual Learning. Closed- …

Paper Group ANR 296

October 19, 2019

A New Multi Criteria Decision Making Method: Approach of Logarithmic Concept (APLOCO). A Study of Deep Feature Fusion based Methods for Classifying Multi-lead ECG. Towards Robust Evaluations of Continual Learning. Generating protected fingerprint template utilizing coprime mapping transformation. Trace Quotient with Sparsity Priors for Learning Low …

Paper Group ANR 371

October 19, 2019

VC-Dimension Based Generalization Bounds for Relational Learning. Predictive Performance Modeling for Distributed Computing using Black-Box Monitoring and Machine Learning. Split learning for health: Distributed deep learning without sharing raw patient data. How deep is deep enough? – Quantifying class separability in the hidden layers of deep ne …

Paper Group ANR 438

October 18, 2019

A Formulation of Recursive Self-Improvement and Its Possible Efficiency. Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning. Nearly-tight bounds on linear regions of piecewise linear neural networks. Geometry-Based Multiple Camera …

Paper Group ANR 458

October 18, 2019

Concept-Oriented Deep Learning. Robust multivariate and functional archetypal analysis with application to financial time series analysis. A Short Survey of Topological Data Analysis in Time Series and Systems Analysis. Long-term Tracking in the Wild: A Benchmark. Mind Your POV: Convergence of Articles and Editors Towards Wikipedia’s Neutrality Nor …

Paper Group ANR 459

October 18, 2019

Machine learning non-local correlations. MS-BACO: A new Model Selection algorithm using Binary Ant Colony Optimization for neural complexity and error reduction. Goal-constrained Planning Domain Model Verification of Safety Properties. Graph Planning with Expected Finite Horizon. Context and Humor: Understanding Amul advertisements of India. Genera …

Paper Group ANR 555

October 18, 2019

Power Law in Sparsified Deep Neural Networks. Weight Initialization in Neural Language Models. Analytic Network Learning. Scale calibration for high-dimensional robust regression. Synaptic Strength For Convolutional Neural Network. Learning Decorrelated Hashing Codes for Multimodal Retrieval. A Unified Particle-Optimization Framework for Scalable B …

Paper Group ANR 639

October 18, 2019

Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks. The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning. Continual Learning Augmented Investment Decisions. Facility Locations Utility for Uncovering Classifier Overconfidence. Automatic Airway Segmentation in chest CT using Con …

Paper Group ANR 698

October 17, 2019

Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment. Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks. Deep Stacked Stochastic Configuration Networks for Lifelong Learning of Non-Stationary Data Streams. Attend Before you Act: Leveraging human visual attention for continual learning. Dirichle …

Paper Group ANR 699

October 17, 2019

Self-Net: Lifelong Learning via Continual Self-Modeling. LMap: Shape-Preserving Local Mappings for Biomedical Visualization. Curvature-based Comparison of Two Neural Networks. Automated detection and segmentation of non-mass enhancing breast tumors with dynamic contrast-enhanced magnetic resonance imaging. A Univariate Bound of Area Under ROC. Grap …

Paper Group ANR 750

October 17, 2019

The impact of imbalanced training data on machine learning for author name disambiguation. One “Ruler” for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning. Spatial Frequency Loss for Learning Convolutional Autoencoders. Defending against Adversarial Images using Basis Functions Transformations. T-RECS: Training …

Paper Group ANR 752

October 17, 2019

Dropout with Tabu Strategy for Regularizing Deep Neural Networks. Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data. Play Duration based User-Entity Affinity Modeling in Spoken Dialog System. Towards Deep and Representation Learning for Talent Search at LinkedIn. Reinforcement Learning for Autonomous Defence …

Paper Group ANR 753

October 17, 2019

Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. Security Consideration For Deep Learning-Based Image Forensics. Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures. A Neural Model of Adaptation in Reading. Legible Normativity for AI Alignment: The Value of Silly Rules. Robust Deformati …

Paper Group ANR 800

October 17, 2019

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. Multi-Layer Sparse Coding: The Holistic Way. Single-Perspective Warps in Natural Image Stitching. Backdoor Embedding in Convolutional Neural Network Models via Invisib …