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Learning Types

56,254 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 (1,984) 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)

Graph Contrastive Learning with Group Whitening ACML 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding NeurIPS 2023 Graph Denoising Diffusion for Inverse Protein Folding NeurIPS 2023 Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition AAAI 2023 Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling NeurIPS 2023 Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning ICLR 2023 Graph of Circuits with GNN for Exploring the Optimal Design Space NeurIPS 2023 Graph Ordering Attention Networks AAAI 2023 GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction AAAI 2023 Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023 Graph Self-supervised Learning via Proximity Distribution Minimization UAI 2023 GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification AAAI 2023 Graph-Structured Gaussian Processes for Transferable Graph Learning NeurIPS 2023 Graph Structure Learning on User Mobility Data for Social Relationship Inference AAAI 2023 Graph Structure Learning via Lottery Hypothesis at Scale ACML 2023 Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023 Gray-Box Gaussian Processes for Automated Reinforcement Learning ICLR 2023 Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On NeurIPS 2023 GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information EMNLP 2023 Greedy Poisson Rejection Sampling NeurIPS 2023 Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing NeurIPS 2023 GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs EMNLP 2023 Grounded and well-rounded: a methodological approach to the study of cross-modal and cross-lingual grounding EMNLP 2023 Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space CVPR 2023 Ground-Truth Free Meta-Learning for Deep Compressive Sampling CVPR 2023