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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)

SCOPS: Self-Supervised Co-Part Segmentation CVPR 2019 Scoring Sentence Singletons and Pairs for Abstractive Summarization ACL 2019 Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NeurIPS 2019 Searching for a Robust Neural Architecture in Four GPU Hours CVPR 2019 Second-Order Non-Local Attention Networks for Person Re-Identification ICCV 2019 Secretary Ranking with Minimal Inversions NeurIPS 2019 Seeded self-play for language learning EMNLP 2019 Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data MIDL 2019 Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection AAAI 2019 Selecting Compliant Agents for Opt-in Micro-Tolling AAAI 2019 Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression NeurIPS 2019 Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019 Selective Sparse Sampling for Fine-Grained Image Recognition ICCV 2019 Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction EMNLP 2019 Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text ACL 2019 Self-Critical N-Step Training for Image Captioning CVPR 2019 Self-Critical Reasoning for Robust Visual Question Answering NeurIPS 2019 Self-Discriminative Learning for Unsupervised Document Embedding NAACL 2019 Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation ICCV 2019 SELFIE: Refurbishing Unclean Samples for Robust Deep Learning ICML 2019 Self-Imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training Interspeech 2019 Selfless Sequential Learning ICLR 2019 SelFlow: Self-Supervised Learning of Optical Flow CVPR 2019 Self-Organizing Incremental Neural Networks for Continual Learning IJCAI 2019 Self-Paced Active Learning: Query the Right Thing at the Right Time AAAI 2019