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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021 Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos CVPR 2021 Learning High-Fidelity Face Texture Completion Without Complete Face Texture ICCV 2021 Learning How to Ask: Querying LMs with Mixtures of Soft Prompts NAACL 2021 Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery NAACL 2021 Learning How to Solve “Bubble Ball” L4DC 2021 Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Matrix Games can be Arbitrarily Complex COLT 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning Intact Features by Erasing-Inpainting for Few-shot Classification AAAI 2021 Learning Interpretable Models for Coupled Networks Under Domain Constraints AAAI 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021 Learning Invariant Representations for Reinforcement Learning without Reconstruction ICLR 2021 Learning Kernel-Smoothed Machine Translation with Retrieved Examples EMNLP 2021 Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ACL 2021 Learning latent causal graphs via mixture oracles NeurIPS 2021 Learning Logic Rules for Document-Level Relation Extraction EMNLP 2021 Learning Maximum Margin Markov Networks from examples with missing labels ACML 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NeurIPS 2021 Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis AAAI 2021 Learning Models for Actionable Recourse NeurIPS 2021 Learning Monocular 3D Reconstruction of Articulated Categories From Motion CVPR 2021 Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency AAAI 2021 Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing ICCV 2021