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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)

Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency Interspeech 2020 Multi-resolution Annotations for Emoji Prediction EMNLP 2020 Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning WACV 2020 Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images CVPR 2020 Multi-Source Attention for Unsupervised Domain Adaptation AACL 2020 Multi-Source Distilling Domain Adaptation AAAI 2020 Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits AAAI 2020 Multi-Source Domain Adaptation for Visual Sentiment Classification AAAI 2020 Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering ACL 2020 Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos EMNLP 2020 Multi-Stage Pre-training for Automated Chinese Essay Scoring EMNLP 2020 Multi-Stage Pre-training for Low-Resource Domain Adaptation EMNLP 2020 Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes AAAI 2020 Multi-Stream Attention-Based BLSTM with Feature Segmentation for Speech Emotion Recognition Interspeech 2020 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NeurIPS 2020 Multi-task Causal Learning with Gaussian Processes NeurIPS 2020 Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation CVPR 2020 Multi-Task Driven Feature Models for Thermal Infrared Tracking AAAI 2020 Multitask Learning-Based Neural Bridging Reference Resolution COLING 2020 Multi-task Learning for Automated Essay Scoring with Sentiment Analysis AACL 2020 Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies EMNLP 2020 Multi-Task Learning for Diabetic Retinopathy Grading and Lesion Segmentation AAAI 2020 Multi-Task Learning for End-to-End Noise-Robust Bandwidth Extension Interspeech 2020 Multi-Task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation AAAI 2020 Multitask Learning of Negation and Speculation using Transformers EMNLP 2020