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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)

Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Learning Competitive and Discriminative Reconstructions for Anomaly Detection AAAI 2019 Learning Compositional Representations for Few-Shot Recognition ICCV 2019 Learning Conceptual Spaces with Disentangled Facets CoNLL 2019 Learning Context-dependent Label Permutations for Multi-label Classification ICML 2019 Learning Correspondence From the Cycle-Consistency of Time CVPR 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks CoRL 2019 Learning deep representations by mutual information estimation and maximization ICLR 2019 Learning Dependency Structures for Weak Supervision Models ICML 2019 Learning Description Logic Concepts: When can Positive and Negative Examples be Separated? IJCAI 2019 Learning Determinantal Point Processes by Corrective Negative Sampling AISTATS 2019 Learning Deterministic Weighted Automata with Queries and Counterexamples NeurIPS 2019 Learning Diffusions without Timestamps AAAI 2019 Learning Discrete and Continuous Factors of Data via Alternating Disentanglement ICML 2019 Learning Discriminative Model Prediction for Tracking ICCV 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Distributions Generated by One-Layer ReLU Networks NeurIPS 2019 Learning Diverse Bayesian Networks AAAI 2019 Learning Document Embeddings with Crossword Prediction AAAI 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions ACL 2019 Learning Erdos-Renyi Random Graphs via Edge Detecting Queries NeurIPS 2019