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
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Context Is Ubiquitous, but Rarely Changes Judgments: Revisiting Document-Level MT Evaluation
EMNLP 2025
ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations
EMNLP 2025
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
EMNLP 2025
Contextual Bandits with Stage-wise Constraints
JMLR 2025
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy
NAACL 2025
Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding
ICLR 2025
Contextual Structure Knowledge Transfer for Graph Neural Networks
AAAI 2025
Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios
ICCV 2025
Continual Gradient Low-Rank Projection Fine-Tuning for LLMs
ACL 2025
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
WACV 2025
Continual Learning in Large Language Models: Foundations to Frontiers
IJCNLP 2025
Continual Learning in Multilingual Sign Language Translation
NAACL 2025
Continual Learning of Large Language Models
EMNLP 2025
Continual Learning of Personalized Generative Face Models with Experience Replay
WACV 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models
AAAI 2025
Continual Learning Using Only Large Language Model Prompting
COLING 2025
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
ICCV 2025
Continual Personalization for Diffusion Models
ICCV 2025
Continual SFT Matches Multimodal RLHF with Negative Supervision
CVPR 2025
Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt
ICLR 2025
Continual Speech Learning with Fused Speech Features
Interspeech 2025
Continual Unsupervised Generative Modelling via Online Optimal Transport
AAAI 2025
Continued Pretraining and Interpretability-Based Evaluation for Low-Resource Languages: A Galician Case Study
ACL 2025
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence
Interspeech 2025
Continuously evolving rewards in an open-ended environment
JMLR 2025