Papers
Wed 13 Jan 2021
116 papers
- A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric VehiclesEnd-to-end autonomous driving → Cooperative and V2X driving
- Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise as much as PossibleMixture-of-experts → MoE theory and gating functions
- A Survey on Simulators for Testing Self-Driving CarsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification
- Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
- Reservoir Computers Modal Decomposition and Optimization
- How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study
- C3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era
- Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
- Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series
- FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
- A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
- Should Ensemble Members Be Calibrated?
- Universal Approximation Theorems for Differentiable Geometric Deep Learning
- Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning
- Anomaly Detection Support Using Process Classification
- NetCut: Real-Time DNN Inference Using Layer Removal
- Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions
- Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand
- Practical Face Reconstruction via Differentiable Ray Tracing
- Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks
- X-CAL: Explicit Calibration for Survival Analysis
- Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties
- Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control
- Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision
- Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning
- Whispered and Lombard Neural Speech Synthesis
- Explainability of deep vision-based autonomous driving systems: Review and challenges
- Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
- AutoDS: Towards Human-Centered Automation of Data Science
- Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
- Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
- Random Fourier Feature Based Deep Learning for Wireless Communications
- Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
- Denoising Score Matching with Random Fourier Features
- On Misspecification in Prediction Problems and Robustness via Improper Learning
- On consistency scores in text data with an implementation in R
- Big Self-Supervised Models Advance Medical Image Classification
- Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
- MC-LSTM: Mass-Conserving LSTM
- Memory-Augmented Reinforcement Learning for Image-Goal Navigation
- Uzbek Cyrillic-Latin-Cyrillic Machine Transliteration
- Neuro-Reachability of Networked Microgrids
- Temporal Knowledge Graph Forecasting with Neural ODE
- CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels
- Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
- Overlapping Community Detection in Temporal Text Networks
- Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
- VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
- DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees
- Formalising Concepts as Grounded Abstractions
- Multiscale regression on unknown manifolds
- Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing
- Fast convolutional neural networks on FPGAs with hls4ml
- Relatively Lazy: Indoor-Outdoor Navigation Using Vision and GNSS
- MRI Images, Brain Lesions and Deep Learning
- Probabilistic Embeddings for Cross-Modal Retrieval
- End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN
- Top Program Construction and Reduction for polynomial time Meta-Interpretive Learning
- Video action recognition for lane-change classification and prediction of surrounding vehicles
- Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
- Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
- A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
- Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition
- Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks
- Is the User Enjoying the Conversation? A Case Study on the Impact on the Reward Function
- Sequential IoT Data Augmentation using Generative Adversarial Networks
- Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings
- Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification
- Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features
- Multi-Source Anomaly Detection in Distributed IT Systems
- Large scale deduplication based on fingerprints
- Learning with Gradient Descent and Weakly Convex Losses
- Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation
- LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT
- EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos
- Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems
- Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images
- Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
- Single-path Bit Sharing for Automatic Loss-aware Model Compression
- A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles
- An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
- Supervised deep learning of elastic SRV distances on the shape space of curves
- Road images augmentation with synthetic traffic signs using neural networks
- Learning to Anticipate Egocentric Actions by Imagination
- EventPlus: A Temporal Event Understanding Pipeline
- Neural Sequence-to-grid Module for Learning Symbolic Rules
- COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
- EEC: Learning to Encode and Regenerate Images for Continual Learning
- Experimental Evaluation of Deep Learning models for Marathi Text Classification
- Unlearnable Examples: Making Personal Data Unexploitable
- Towards Interpretable Ensemble Learning for Image-based Malware Detection
- Piano Skills Assessment
- Asymmetric self-play for automatic goal discovery in robotic manipulation
- Bayesian neural networks for weak solution of PDEs with uncertainty quantification
- Convolutional Neural Nets in Chemical Engineering: Foundations, Computations, and Applications
- Towards Energy Efficient Federated Learning over 5G+ Mobile Devices
- A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
- A Recurrent Neural Network Approach to Roll Estimation for Needle Steering
- Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records
All 116
- Knowledge-Enhanced Top-K Recommendation in Poincar'e Ball
- Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search
- Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
- Reproducing Activation Function for Deep Learning
- Robustness Gym: Unifying the NLP Evaluation Landscape
- Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
- Robust GPS-Vision Localization via Integrity-Driven Landmark Attention
- Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows
- On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks
- Urban land-use analysis using proximate sensing imagery: a survey
- Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals
- A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks
- Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
- Discrete Knowledge Graph Embedding based on Discrete Optimization
- Digital Elevation Model enhancement using Deep Learning
- MLGO: a Machine Learning Guided Compiler Optimizations Framework