Papers
Mon 25 Jan 2021
152 papers
- Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its Application in Massive MIMO
- Large-Scale Benchmarks for the Job Shop Scheduling Problem
- Unanswerable Questions about Images and Texts
- Revisiting the details when evaluating a visual tracker
- A Survey On (Stochastic Fractal Search) Algorithm
- Transfer Learning Approach for Detecting Psychological Distress in Brexit Tweets
- Measuring Intelligence and Growth Rate: Variations on Hibbard's Intelligence Measure
- Disambiguating Symbolic Expressions in Informal Documents
- Failure Prediction in Production Line Based on Federated Learning: An Empirical Study
- TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
- Damage detection in operational wind turbine blades using a new approach based on machine learning
- Unified Framework for Feature Extraction based on Contrastive Learning
- Recent Trends in Named Entity Recognition (NER)
- Artificial Intelligence for Satellite Communication: A Review
- HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
- White Paper: Challenges and Considerations for the Creation of a Large Labelled Repository of Online Videos with Questionable Content
- Dynamic cyber risk estimation with Competitive Quantile Autoregression
- Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN
- Appliance Operation Modes Identification Using Cycles Clustering
- RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization
- How do some Bayesian Network machine learned graphs compare to causal knowledge?
- Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting
- PolyLM: Learning about Polysemy through Language Modeling
- High-fidelity Prediction of Megapixel Longitudinal Phase-space Images of Electron Beams using Encoder-Decoder Neural Networks
- Randomized Deep Structured Prediction for Discourse-Level Processing
- Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents
- Finding hidden-feature depending laws inside a data set and classifying it using Neural Network
- Online Continual Learning in Image Classification: An Empirical Survey
- English Machine Reading Comprehension Datasets: A Survey
- Spectrum Attention Mechanism for Time Series Classification
- Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme
- A metric for evaluating 3D reconstruction and mapping performance with no ground truthing
- Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot
- Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views
- Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder
- Introducing a Central African Primate Vocalisation Dataset for Automated Species Classification
- Online and Scalable Model Selection with Multi-Armed Bandits
- droidlet: modular, heterogenous, multi-modal agents
- Curriculum Learning: A Survey
- Learning to falsify automated driving vehicles with prior knowledge
- The Power of Language: Understanding Sentiment Towards the Climate Emergency using Twitter Data
- The GRIFFIN Perception Dataset: Bridging the Gap Between Flapping-Wing Flight and Robotic Perception
- Meta-Learning for Effective Multi-task and Multilingual Modelling
- Regret-Optimal Filtering for Prediction and Estimation
- Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
- DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
- Identity-aware Graph Neural Networks
- Multi-Time Attention Networks for Irregularly Sampled Time Series
- Accumulating Risk Capital Through Investing in Cooperation
- Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach
- Transferable Interactiveness Knowledge for Human-Object Interaction Detection
- Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Buchi Automata
- PAWLS: PDF Annotation With Labels and Structure
- QFold: Quantum Walks and Deep Learning to Solve Protein Folding
- Emergent Communication under Competition
- TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics
- VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder
- Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification
- The emergence of visual semantics through communication games
- Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale
- D-Net: Siamese based Network with Mutual Attention for Volume Alignment
- Process-Level Representation of Scientific Protocols with Interactive Annotation
- RGB-D Salient Object Detection via 3D Convolutional Neural Networks
- Lightweight Convolutional Neural Network with Gaussian-based Grasping Representation for Robotic Grasping Detection
- A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images
- MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop
- A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
- ISP Distillation
- Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution
- A Hybrid Approach to Measure Semantic Relatedness in Biomedical Concepts
- Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
- Cognitive Perspectives on Context-based Decisions and Explanations
- Multi-Structure Deep Segmentation with Shape Priors and Latent Adversarial Regularization
- Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution
- Open-Mindedness and Style Coordination in Argumentative Discussions
- Solving a Multi-resource Partial-ordering Flexible Variant of the Job-shop Scheduling Problem with Hybrid ASP
- Measuring Dependence with Matrix-based Entropy Functional
- Mask-based Data Augmentation for Semi-supervised Semantic Segmentation
- Variational Neural Annealing
- Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews
- Spectral Leakage and Rethinking the Kernel Size in CNNs
- Performance Evaluation of Convolutional Neural Networks for Gait Recognition
- Conditional Generative Models for Counterfactual Explanations
- A fusion method for multi-valued data
- Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning
- With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms
- Camera Invariant Feature Learning for Generalized Face Anti-spoofing
- RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding
- The EM Perspective of Directional Mean Shift Algorithm
- Learning Parametrised Graph Shift Operators
- Cross-lingual Visual Pre-training for Multimodal Machine Translation
- Deep One-Class Classification via Interpolated Gaussian Descriptor
- Deep Graph Convolutional Networks for Wind Speed Prediction
- Complexity of Linear Minimization and Projection on Some Sets
- Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
- SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
- Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
- Facilitating Terminology Translation with Target Lemma Annotations
- Embedding-based Instance Segmentation in Microscopy
- Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
All 152
- Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning
- A Review of Graph Neural Networks and Their Applications in Power Systems
- Personalization Paradox in Behavior Change Apps: Lessons from a Social Comparison-Based Personalized App for Physical Activity
- AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence
- A Simple Disaster-Related Knowledge Base for Intelligent Agents
- They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
- Adaptive Scheduling for Machine Learning Tasks over Networks
- Diverse Adversaries for Mitigating Bias in Training
- Re-imagining Algorithmic Fairness in India and Beyond
- On maximum-likelihood estimation in the all-or-nothing regime
- Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
- UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
- Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications
- Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study
- Multi-view Integration Learning for Irregularly-sampled Clinical Time Series
- Adversarial Text-to-Image Synthesis: A Review
- A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
- GUIGAN: Learning to Generate GUI Designs Using Generative Adversarial Networks
- 3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware
- Approximating Probability Distributions by ReLU Networks
- CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
- Scaffolded Learning of In-place Trotting Gait for a Quadruped Robot with Bayesian Optimization
- Activation Functions in Artificial Neural Networks: A Systematic Overview
- Parametric Rectified Power Sigmoid Units: Learning Nonlinear Neural Transfer Analytical Forms
- A Survey on Active Deep Learning: From Model-driven to Data-driven
- Generalizing Adversarial Examples by AdaBelief Optimizer
- Weakly Supervised Thoracic Disease Localization via Disease Masks
- EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information
- A Two-stage Framework for Compound Figure Separation
- GP: Context-free Grammar Pre-training for Text-to-SQL Parsers
- MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance
- Spatio-temporal Data Augmentation for Visual Surveillance
- MadDog: A Web-based System for Acronym Identification and Disambiguation
- Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization
- Domain-Dependent Speaker Diarization for the Third DIHARD Challenge
- Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
- Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
- Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images
- Black Feminist Musings on Algorithmic Oppression
- CPT: Efficient Deep Neural Network Training via Cyclic Precision
- Supervision by Registration and Triangulation for Landmark Detection
- ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning
- Applications of Deep Learning in Fundus Images: A Review
- Weakly Supervised Learning for Facial Affective Behavior Analysis : A Review
- Weak Signal Asymptotics for Sequentially Randomized Experiments
- Deep Learning Generalization and the Convex Hull of Training Sets
- A new approach to extracting coronary arteries and detecting stenosis in invasive coronary angiograms
- High-Confidence Off-Policy (or Counterfactual) Variance Estimation
- Pattern Ensembling for Spatial Trajectory Reconstruction
- E-cheating Prevention Measures: Detection of Cheating at Online Examinations Using Deep Learning Approach -- A Case Study
- TLRM: Task-level Relation Module for GNN-based Few-Shot Learning
- Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks