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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies IJCAI 2019 Masked Graph Convolutional Network IJCAI 2019 Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information CoRL 2019 MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging SemEval 2019 Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data ICCV 2019 Massively Multilingual Adversarial Speech Recognition NAACL 2019 Massively Multilingual Transfer for NER ACL 2019 Matching the Blanks: Distributional Similarity for Relation Learning ACL 2019 Matrix Completion for Graph-Based Deep Semi-Supervised Learning AAAI 2019 MAVEN: Multi-Agent Variational Exploration NeurIPS 2019 Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning ACL 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NeurIPS 2019 Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds ICLR 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Max-value Entropy Search for Multi-Objective Bayesian Optimization NeurIPS 2019 MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NeurIPS 2019 MEAL: Multi-Model Ensemble via Adversarial Learning AAAI 2019 Meaning to Form: Measuring Systematicity as Information ACL 2019 MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization ICML 2019 Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks NAACL 2019 Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders NAACL 2019 Measuring the Value of Linguistics: A Case Study from St. Lawrence Island Yupik ACL 2019 MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation EMNLP 2019 Medical Entity Linking using Triplet Network NAACL 2019