ETRI-Knowledge Sharing Plaform

Multi-Agent Reinforcement Learning Self-Improving State-Of-The-Art Artificial Intelligence System Real-World Deep Learning(DL) End To End(E2E) Automatic Speech Recognition(ASR) Deep Neural Network(DNN) I-Vector Linear Discriminant Analysis(LDA) Learning Algorithms Image Classification Execution Framework Generative Models Computer Vision(CV) Class Imbalance Data Augmentation Dialog System Support Vectormachine(SVM) Word Embedding Models Model-Based Language Model Artificial Sample Compensation Method Real Samples Shared Task Assessment Method Baseline Model Current Research Estimation Technique Evaluation Method Exploration-Exploitation Dilemma Graphics Processing Item Recommendation Labeled Data Multimodal Fusion Memory Model Data-Driven Approach Native Language Sample Generation Within-Class Covariance Normalization Universal Background Model Training Based Real-Time Strategy Autonomous Vehicle Cooperative Learning Efficient Exploration Encoding Technique Feature Dictionaries Feature Extractor Graphic Processing Unit(GPU) Image Recognition Multiple Speakers Multi-Agent System(MAS) Predator-Prey Natural Gradient N-Gram Transfer Learning Assessment System Application Services Computer Assisted Language Learning Conditional Mutual Information Different Levels English Proficiency Efficient Learning Isolated Word Recognition Imbalance Problem Multimodal Representation Skip-Gram Small-Scale Word-Level Vector Based Training Data Non-Stationarity Online Games Reward-Based Training Strategies Acceptance Or Rejection Automatic Evaluation Agent Modeling Channel Effect Complex Problems Complex Dynamics Clustering Based Embedding Method Experimental Frameworks Fine-Tuning Higher Performance High Dimension Local Patches Multimodal Approach Minority Class Computing Technology Speech Recognition System Prediction Performance Spontaneous Speech Speech Assessment Novel Concepts Output Prediction Target Domain Relative Position Big Data Based Prioritization Count-Based Cosine Distance Channel Compensation Classification Models Data Imbalance Explore Action Feature Normalization Feature Extraction Knowledge Expansion Latent Semantic Analysis(LSI) Language Identification Late Fusion Large-Scale Speaking Style Starcraft Ii Video Frames Procedural Knowledge Performance Analysis Total Variability Oversampling Method Thought Model Robust Performance Best Performance Credit Assignment Dimension Reduction Complex Modal Dictionary-Based Decision Making Ensemble Classifiers Early Fusion False Detection Latent Semantics Knowledge Graph Surrounding Environment Sentence Model Sentence Similarity Visual Signals Pseudo Labels Proposed Model Value Function Noise Interference Text Image Feature Augmentation Joint Action Research Trends Adversarial Learning Analytical Approach Accuracy Evaluation Active Speaker Detection Context Model Discrimination Power Evaluation Technique Fusion Approach Human Brain Knowledge Inference Kullback-Leibler (Kl) Divergence Imbalanced Classification Learning Curve Learning-Based Rule-Based Approach Visual Noise Pre-Trained Networks Unknown Data Action Selection Confidence Measure Communication Algorithms Classification Performance Classification Research Cognitive Computing Embedding Technique Human Interaction Log Data Multimodal Dataset Second-Order Text Data Text-Based