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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)

GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization IJCAI 2023 GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023 GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation ACL 2023 Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023 Gradient Ascent Post-training Enhances Language Model Generalization ACL 2023 Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection ICCV 2023 Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023 Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction ACL 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NeurIPS 2023 GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting AAAI 2023 Gradually Excavating External Knowledge for Implicit Complex Question Answering EMNLP 2023 GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets ICML 2023 Grammar-based Decoding for Improved Compositional Generalization in Semantic Parsing ACL 2023 Grammatical Error Correction via Mixed-Grained Weighted Training EMNLP 2023 Granger Components Analysis: Unsupervised learning of latent temporal dependencies NeurIPS 2023 Grape Cold Hardiness Prediction via Multi-Task Learning AAAI 2023 Graph-Aided Online Multi-Kernel Learning JMLR 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023 Graph-Based Self-Learning for Robust Person Re-Identification WACV 2023 Graph-based Semi-supervised Local Clustering with Few Labeled Nodes IJCAI 2023 GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks ICML 2023 Graph Component Contrastive Learning for Concept Relatedness Estimation AAAI 2023 Graph Contrastive Backdoor Attacks ICML 2023 Graph Contrastive Learning for Skeleton-based Action Recognition ICLR 2023