Papers
Wed 31 Mar 2021
191 papers
- DEALIO: Data-Efficient Adversarial Learning for Imitation from ObservationOffline RL and imitation learning from data → Imitation learning methods
- Generalized Reinforcement Learning for Building Control using Behavioral CloningOffline RL and imitation learning from data → Decision transformers and sequence modeling
- LazyDAgger: Reducing Context Switching in Interactive Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Knowledge Distillation By Sparse Representation MatchingKnowledge distillation → General knowledge distillation methods
- Fixing the Teacher-Student Knowledge Discrepancy in DistillationKnowledge distillation → General knowledge distillation methods
- Amharic Text Clustering Using Encyclopedic Knowledge with Neural Word Embedding
- Cascade-Forward Neural Network Based on Resilient Backpropagation for Simultaneous Parameters and State Space Estimations of Brushed DC Machines
- The Kaleidoscope of Privacy: Differences across French, German, UK, and US GDPR Media Discourse
- DeepBlur: A Simple and Effective Method for Natural Image Obfuscation
- PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information
- On the Robustness of Vision Transformers to Adversarial Examples
- DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
- Topic Scaling: A Joint Document Scaling -- Topic Model Approach To Learn Time-Specific Topics
- HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks
- RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning
- OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
- Deep Reinforcement Learning for Constrained Field Development Optimization in Subsurface Two-phase Flow
- Fitting Elephants
- Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy
- DIVERSE: Bayesian Data IntegratiVE learning for precise drug ResponSE prediction
- Learning Spectral Unions of Partial Deformable 3D Shapes
- Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
- On the Optimality of the Oja's Algorithm for Online PCA
- Encoding Event-Based Data With a Hybrid SNN Guided Variational Auto-encoder in Neuromorphic Hardware
- Time Series Analysis and Modeling to Forecast: a Survey
- Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet
- Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
- Online Learning Probabilistic Event Calculus Theories in Answer Set Programming
- Full Surround Monodepth from Multiple Cameras
- Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images
- Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
- Achieving Transparency Report Privacy in Linear Time
- Drowsiness Detection Based On Driver Temporal Behavior Using a New Developed Dataset
- Misinformation detection in Luganda-English code-mixed social media text
- Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition
- Analysis on Image Set Visual Question Answering
- Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
- Robust Experimentation in the Continuous Time Bandit Problem
- MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
- LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method
- Taking Stock of the Present and Future of Smart Technologies for Older Adults and Caregivers
- Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
- Transfer Learning for Node Regression Applied to Spreading Prediction
- A comparative evaluation of learned feature descriptors on hybrid monocular visual SLAM methods
- Hierarchical Road Topology Learning for Urban Map-less Driving
- Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces
- FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter
- Generalized Conflict-directed Search for Optimal Ordering Problems
- Passive Inter-Photon Imaging
- SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
- A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods
- Domain-specific MT for Low-resource Languages: The case of Bambara-French
- Smartphone Camera Oximetry in an Induced Hypoxemia Study
- Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix
- Convolutional Dynamic Alignment Networks for Interpretable Classifications
- NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization
- RetrievalFuse: Neural 3D Scene Reconstruction with a Database
- Why is AI hard and Physics simple?
- Fast and Accurate Emulation of the SDO/HMI Stokes Inversion with Uncertainty Quantification
- Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
- DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
- CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
- Fast Certified Robust Training with Short Warmup
- Bit-Mixer: Mixed-precision networks with runtime bit-width selection
- Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans
- Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
- Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
- Video-Specific Autoencoders for Exploring, Editing and Transmitting Videos
- Learning by Aligning Videos in Time
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
- Leveraging Neural Machine Translation for Word Alignment
- StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery
- Digital Twin Based Disaster Management System Proposal: DT-DMS
- Dogfight: Detecting Drones from Drones Videos
- Going deeper with Image Transformers
- High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling
- FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
- Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry
- Neuro-Symbolic Constraint Programming for Structured Prediction
- CDiNN -Convex Difference Neural Networks
- Rainbow Memory: Continual Learning with a Memory of Diverse Samples
- Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections
- OLIVAW: Mastering Othello without Human Knowledge, nor a Fortune
- Scale-aware Automatic Augmentation for Object Detection
- An effective and friendly tool for seed image analysis
- Augmenting Poetry Composition with Verse by Verse
- Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data
- Universal Prediction Band via Semi-Definite Programming
- GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
- A Closer Look at Fourier Spectrum Discrepancies for CNN-generated Images Detection
- Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and Explainability
- Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
- Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
- Using activation histograms to bound the number of affine regions in ReLU feed-forward neural networks
- Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification
- Spectral decoupling allows training transferable neural networks in medical imaging
- Learning Spatio-Temporal Transformer for Visual Tracking
- Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models
- Federated Learning: A Signal Processing Perspective
All 191
- Continuous Latent Position Models for Instantaneous Interactions
- CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data
- On the Origin of Species of Self-Supervised Learning
- Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices
- SOON: Scenario Oriented Object Navigation with Graph-based Exploration
- Empirically explaining SGD from a line search perspective
- Spatiotemporal Data Mining: A Survey on Challenges and Open Problems
- Rank-One Prior: Toward Real-Time Scene Recovery
- Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite
- Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving
- No Keyword is an Island: In search of covert associations
- Differentiable Deconvolution for Improved Stroke Perfusion Analysis
- Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
- Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers
- The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation
- Deep Image Harmonization by Bridging the Reality Gap
- MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19
- Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction
- Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning
- DA-DETR: Domain Adaptive Detection Transformer with Information Fusion
- Smart Scribbles for Image Mating
- α-Geodesical Skew Divergence
- Reliable Detection of Compressed and Encrypted Data
- A Neighbourhood Framework for Resource-Lean Content Flagging
- Quantum Optimization for Training Quantum Neural Networks
- SRA-LSTM: Social Relationship Attention LSTM for Human Trajectory Prediction
- Layout-Guided Novel View Synthesis from a Single Indoor Panorama
- Semantic-guided Automatic Natural Image Matting with Trimap Generation Network and Light-weight Non-local Attention
- Learning Scalable ℓ_∞-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression
- Collaborative Label Correction via Entropy Thresholding
- Tossing Quantum Coins and Dice
- VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance
- Near-field Perception for Low-Speed Vehicle Automation using Surround-view Fisheye Cameras
- UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language
- Energy Efficient Edge Computing: When Lyapunov Meets Distributed Reinforcement Learning
- Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning
- Neural Surface Maps
- Learning with Memory-based Virtual Classes for Deep Metric Learning
- Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
- Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
- Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey
- Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition
- Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage
- Few-shot learning through contextual data augmentation
- Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
- Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks
- Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
- A Framework for Knowledge Integrated Evolutionary Algorithms
- Mobility Functional Areas and COVID-19 Spread
- Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
- Neural Response Interpretation through the Lens of Critical Pathways
- ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
- VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
- Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity
- Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion
- Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
- Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
- A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis
- Exploring Plausible Patches Using Source Code Embeddings in JavaScript
- Channel-Based Attention for LCC Using Sentinel-2 Time Series
- ReMix: Towards Image-to-Image Translation with Limited Data
- Online Learning of a Probabilistic and Adaptive Scene Representation
- Convolutional Hough Matching Networks
- Spatial Content Alignment For Pose Transfer
- Integer-only Zero-shot Quantization for Efficient Speech Recognition
- Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
- QUEST: Queue Simulation for Content Moderation at Scale
- Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training
- Self-Supervised Euphemism Detection and Identification for Content Moderation
- Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label
- Joint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning
- Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
- Learning Camera Localization via Dense Scene Matching
- An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation
- DER: Dynamically Expandable Representation for Class Incremental Learning
- Individually Fair Gradient Boosting
- Large-Scale Pre-Training of End-to-End Multi-Talker ASR for Meeting Transcription with Single Distant Microphone
- Attention, please! A survey of Neural Attention Models in Deep Learning
- Towards understanding the power of quantum kernels in the NISQ era
- PAUL: Procrustean Autoencoder for Unsupervised Lifting
- Topology-Preserving 3D Image Segmentation Based On Hyperelastic Regularization
- Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
- Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training
- Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks
- Facial Masks and Soft-Biometrics: Leveraging Face Recognition CNNs for Age and Gender Prediction on Mobile Ocular Images
- Evaluation of Multimodal Semantic Segmentation using RGB-D Data
- CloneBot: Personalized Dialogue-Response Predictions
- Dual Contrastive Loss and Attention for GANs
- Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
- Deep Simultaneous Optimisation of Sampling and Reconstruction for Multi-contrast MRI
- Simultaneous Navigation and Construction Benchmarking Environments