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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)

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning ICLR 2024 Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NeurIPS 2024 Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models NAACL 2024 Self-Infilling Code Generation ICML 2024 Self-Interpretable Graph Learning with Sufficient and Necessary Explanations AAAI 2024 Self-Labeling the Job Shop Scheduling Problem NeurIPS 2024 Self-Modifying State Modeling for Simultaneous Machine Translation ACL 2024 SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction CVPR 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024 Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models ICML 2024 Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation NeurIPS 2024 Self-playing Adversarial Language Game Enhances LLM Reasoning NeurIPS 2024 SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation CVPR 2024 Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining IJCAI 2024 Self-Prompt Mechanism for Few-Shot Image Recognition AAAI 2024 Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models EMNLP 2024 Self-Regulated Sample Diversity in Large Language Models NAACL 2024 Self-Retrieval: End-to-End Information Retrieval with One Large Language Model NeurIPS 2024 Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation With Meta-Learning WACV 2024 Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024 Self-StrAE at SemEval-2024 Task 1: Making Self-Structuring AutoEncoders Learn More With Less SemEval 2024 Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning AAAI 2024 Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation NeurIPS 2024 Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NeurIPS 2024 Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals AAAI 2024