Papers
Thu 15 Apr 2021
215 papers
- Skeletal Feature Compensation for Imitation Learning with Embodiment MismatchOffline RL and imitation learning from data → Robot manipulation imitation learning
- Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic SkillsOffline RL and imitation learning from data → Real-world robot offline RL
- Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions
- A Survey of Recent Abstract Summarization Techniques
- Gradient-based Adversarial Attacks against Text Transformers
- Contrastive Learning for Sports Video: Unsupervised Player Classification
- Federated Learning for Malware Detection in IoT Devices
- The mixed deep energy method for resolving concentration features in finite strain hyperelasticity
- Predictor-Corrector(PC) Temporal Difference(TD) Learning (PCTD)
- LEx: A Framework for Operationalising Layers of Machine Learning Explanations
- Vec2GC -- A Graph Based Clustering Method for Text Representations
- AI supported Topic Modeling using KNIME-Workflows
- Assessment of deep learning based blood pressure prediction from PPG and rPPG signals
- Tracking agitation in people living with dementia in a care environment
- A Tunable Model for Graph Generation Using LSTM and Conditional VAE
- Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems
- Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
- Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent
- Multiple feature fusion-based video face tracking for IoT big data
- Personalized Semi-Supervised Federated Learning for Human Activity Recognition
- Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021
- NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
- Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
- Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
- Out-of-Distribution Detection for Dermoscopic Image Classification
- A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
- Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
- A Novel Hybrid Deep Learning Approach for Non-Intrusive Load Monitoring of Residential Appliance Based on Long Short Term Memory and Convolutional Neural Networks
- Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
- Towards Robust Neural Retrieval Models with Synthetic Pre-Training
- An L2 Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation
- Geometry encoding for numerical simulations
- Learning User's confidence for active learning
- Detect and Classify -- Joint Span Detection and Classification for Health Outcomes
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
- Rethinking Text Line Recognition Models
- Ridge Regression Neural Network for Pediatric Bone Age Assessment
- A survey of active learning algorithms for supervised remote sensing image classification
- Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain
- Recent Advances in Domain Adaptation for the Classification of Remote Sensing Data
- Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
- Jointly Modeling and Clustering Tensors in High Dimensions
- AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks
- Exploring Visual Engagement Signals for Representation Learning
- Comparative Study of Learning Outcomes for Online Learning Platforms
- Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
- Micro-Estimates of Wealth for all Low- and Middle-Income Countries
- Joint Attention for Multi-Agent Coordination and Social Learning
- Variational Inference for Category Recommendation in E-Commerce platforms
- A Random Persistence Diagram Generator
- Ontology-based Feature Selection: A Survey
- Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
- Quantum Architecture Search via Deep Reinforcement Learning
- Contrastive Learning with Stronger Augmentations
- How to Train BERT with an Academic Budget
- Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labelling
- Improving Gender Translation Accuracy with Filtered Self-Training
- Higgs analysis with quantum classifiers
- Dual Contrastive Learning for Unsupervised Image-to-Image Translation
- Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer
- A Note on Data Simulations for Voting by Evaluation
- Auto-Tuned Sim-to-Real Transfer
- E2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion
- SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements
- GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
- Self-supervised Video Object Segmentation by Motion Grouping
- Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
- Geometry-Free View Synthesis: Transformers and no 3D Priors
- mlf-core: a framework for deterministic machine learning
- KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
- Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering
- A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
- ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
- Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining
- Robust Optimization for Multilingual Translation with Imbalanced Data
- The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
- Image Super-Resolution via Iterative Refinement
- Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
- Sometimes We Want Translationese
- Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks
- SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian
- Adapting Coreference Resolution Models through Active Learning
- Camera View Adjustment Prediction for Improving Image Composition
- Planning with Learned Entity Prompts for Abstractive Summarization
- SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
- Towards A Process Model for Co-Creating AI Experiences
- Applying Personal Knowledge Graphs to Health
- See through Gradients: Image Batch Recovery via GradInversion
- Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
- Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis
- Deep Learning-based Online Alternative Product Recommendations at Scale
- Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy
- Retrieval Augmentation Reduces Hallucination in Conversation
- BAM: A Balanced Attention Mechanism for Single Image Super Resolution
- Rethinking Automatic Evaluation in Sentence Simplification
- Decentralized Federated Learning for UAV Networks: Architecture, Challenges, and Opportunities
- Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation
- Zero-Shot Cross-lingual Semantic Parsing
- Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning
All 215
- HIVE-COTE 2.0: a new meta ensemble for time series classification
- Hierarchical Learning for Generation with Long Source Sequences
- Reward Optimization for Neural Machine Translation with Learned Metrics
- Generating Datasets with Pretrained Language Models
- Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing
- Street-Map Based Validation of Semantic Segmentation in Autonomous Driving
- Sequence tagging for biomedical extractive question answering
- Measuring the Impact of Blockchain and Smart Contract on Construction Supply Chain Visibility
- On Energy-Based Models with Overparametrized Shallow Neural Networks
- Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation
- QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices
- Spectrogram Inpainting for Interactive Generation of Instrument Sounds
- A Decomposition Model for Stereo Matching
- FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
- A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers
- Ensemble of MRR and NDCG models for Visual Dialog
- Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
- Natural Language Understanding with Privacy-Preserving BERT
- Sparse online relative similarity learning
- Learning Zero-Shot Multifaceted Visually Grounded Word Embeddings via Multi-Task Training
- Unmasking the Mask -- Evaluating Social Biases in Masked Language Models
- Curiosity-Driven Exploration via Latent Bayesian Surprise
- Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching
- Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
- Lorentzian Graph Convolutional Networks
- Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
- Cross-Domain Label-Adaptive Stance Detection
- Action Segmentation with Mixed Temporal Domain Adaptation
- Effect of Post-processing on Contextualized Word Representations
- Audio-Driven Emotional Video Portraits
- Rehearsal revealed: The limits and merits of revisiting samples in continual learning
- Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system
- Points as Queries: Weakly Semi-supervised Object Detection by Points
- First the worst: Finding better gender translations during beam search
- Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study
- Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution
- The Role of Context in Detecting Previously Fact-Checked Claims
- TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
- XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
- NICE: An Algorithm for Nearest Instance Counterfactual Explanations
- Simultaneous Multi-Pivot Neural Machine Translation
- Ransomware Detection Using Deep Learning in the SCADA System of Electric Vehicle Charging Station
- Bilingual Terminology Extraction from Comparable E-Commerce Corpora
- Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
- Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
- Training Deep Capsule Networks with Residual Connections
- RIANN -- A Robust Neural Network Outperforms Attitude Estimation Filters
- Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition
- Conditional independence for pretext task selection in Self-supervised speech representation learning
- Tracking entities in technical procedures -- a new dataset and baselines
- Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation
- UIT-E10dot3 at SemEval-2021 Task 5: Toxic Spans Detection with Named Entity Recognition and Question-Answering Approaches
- BERT based Transformers lead the way in Extraction of Health Information from Social Media
- D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
- Scale Invariant Monte Carlo under Linear Function Approximation with Curvature based step-size
- Robust Generalised Bayesian Inference for Intractable Likelihoods
- Adaptive Sparse Transformer for Multilingual Translation
- Fast Private Parameter Learning and Inference for Sum-Product Networks
- Depth Completion using Plane-Residual Representation
- ROC: An Ontology for Country Responses towards COVID-19
- All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks
- OneLog: Towards End-to-End Training in Software Log Anomaly Detection
- Internet of quantum blockchains: security modeling and dynamic resource pricing for stable digital currency
- Spectral MVIR: Joint Reconstruction of 3D Shape and Spectral Reflectance
- NT5?! Training T5 to Perform Numerical Reasoning
- SiamCorners: Siamese Corner Networks for Visual Tracking
- TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph
- Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
- Variational Co-embedding Learning for Attributed Network Clustering
- Generalising Discrete Action Spaces with Conditional Action Trees
- Speaker Attentive Speech Emotion Recognition
- Continual Learning for Fake Audio Detection
- Consistency Training with Virtual Adversarial Discrete Perturbation
- Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
- Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
- COVID-19 detection using deep convolutional neural networks and binary-differential-algorithm-based feature selection on X-ray images
- Adaptive Belief Discretization for POMDP Planning
- Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing
- NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
- Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
- ContactOpt: Optimizing Contact to Improve Grasps
- A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
- Embedding Adaptation is Still Needed for Few-Shot Learning
- Integration of Pre-trained Networks with Continuous Token Interface for End-to-End Spoken Language Understanding
- Emotion Dynamics Modeling via BERT
- Regularization for Long Named Entity Recognition
- Towards Handling Uncertainty-at-Source in AI -- A Review and Next Steps for Interval Regression
- TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction
- Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
- Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
- Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
- An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE
- Iterative Alignment Flows
- Sentence-Permuted Paragraph Generation
- Text Guide: Improving the quality of long text classification by a text selection method based on feature importance
- Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling
- A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
- Multitasking Inhibits Semantic Drift
- Neural Sequence Segmentation as Determining the Leftmost Segments
- Learning structure-aware semantic segmentation with image-level supervision
- Attentive max feature map and joint training for acoustic scene classification
- RefSum: Refactoring Neural Summarization
- State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
- Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
- Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval
- Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
- Discover the Hidden Attack Path in Multi-domain Cyberspace Based on Reinforcement Learning
- Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence
- An Alignment-Agnostic Model for Chinese Text Error Correction
- COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
- Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
- Convolutions for Spatial Interaction Modeling
- Does Putting a Linguist in the Loop Improve NLU Data Collection?
- PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition
- Data-driven Actuator Selection for Artificial Muscle-Powered Robots