Papers
Sat 1 Jan 2022
49 papers
- Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor DataKnowledge distillation → Distillation for medical imaging
- Machine Learning-enhanced Efficient Spectroscopic Ellipsometry Modeling
- Joint Learning-Based Stabilization of Multiple Unknown Linear Systems
- Modelling Cournot Games as Multi-agent Multi-armed Bandits
- Interpretable Low-Resource Legal Decision Making
- Subspace modeling for fast and high-sensitivity X-ray chemical imaging
- The Parametric Cost Function Approximation: A new approach for multistage stochastic programming
- Transfer RL across Observation Feature Spaces via Model-Based Regularization
- SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
- Operator Deep Q-Learning: Zero-Shot Reward Transferring in Reinforcement Learning
- Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
- Recover the spectrum of covariance matrix: a non-asymptotic iterative method
- The Complexity of Dynamic Least-Squares Regression
- Deep Learning Applications for Lung Cancer Diagnosis: A systematic review
- Turath-150K: Image Database of Arab Heritage
- Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
- AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection
- Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller
- The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling
- Challenges of sampling and how phylogenetic comparative methods help: With a case study of the Pama-Nyungan laminal contrast
- FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity
- Image Restoration using Feature-guidance
- IoT-based Route Recommendation for an Intelligent Waste Management System
- Adaptive Image Inpainting
- Multi-view Subspace Adaptive Learning via Autoencoder and Attention
- Dynamic Scene Video Deblurring using Non-Local Attention
- Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity
- Development of Diabetic Foot Ulcer Datasets: An Overview
- MLOps -- Definitions, Tools and Challenges
- Adaptive Single Image Deblurring
- Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness
- High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series
- Matrix Decomposition and Applications
- Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
- SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
- Semantic Search for Large Scale Clinical Ontologies
- Toward the Analysis of Graph Neural Networks
- SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators
- Quality-aware Part Models for Occluded Person Re-identification
- Robust Region Feature Synthesizer for Zero-Shot Object Detection
- Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images
- Adversarial Attack via Dual-Stage Network Erosion
- SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images
- Computer Vision Based Parking Optimization System
- Distributed Evolution Strategies Using TPUs for Meta-Learning
- Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
- Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging
- Automated Fake News Detection using cross-checking with reliable sources
- PatchTrack: Multiple Object Tracking Using Frame Patches