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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

MSIT_SRIB at MEDIQA 2019: Knowledge Directed Multi-task Framework for Natural Language Inference in Clinical Domain. ACL 2019 Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery AAAI 2019 Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection CVPR 2019 Multi-Adversarial Faster-RCNN for Unrestricted Object Detection ICCV 2019 Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019 Multiagent Decision Making and Learning in Urban Environments IJCAI 2019 Multiagent Evaluation under Incomplete Information NeurIPS 2019 Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real CoRL 2019 Multi-Agent Pathfinding with Continuous Time IJCAI 2019 Multi-Agent Reinforcement Learning with Multi-Step Generative Models CoRL 2019 Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction ICCV 2019 Multi-armed Bandit Problems with Strategic Arms COLT 2019 Multi-Attribute Transfer via Disentangled Representation AAAI 2019 Multi-Channel Training for End-to-End Speaker Recognition Under Reverberant and Noisy Environment Interspeech 2019 Multi-class classification without multi-class labels ICLR 2019 Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation UAI 2019 Multi-class Heterogeneous Domain Adaptation JMLR 2019 Multiclass Learning from Contradictions NeurIPS 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 Multiclass Performance Metric Elicitation NeurIPS 2019 Multi-Corpus Acoustic-to-Articulatory Speech Inversion Interspeech 2019 Multi-Dialect Acoustic Modeling Using Phone Mapping and Online i-Vectors Interspeech 2019 Multi-Domain Adversarial Learning ICLR 2019 Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data EMNLP 2019 Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019