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
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'20
'25
Papers (including subtopics)
From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions
NAACL 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
ACL 2025
From Disagreement to Understanding: The Case for Ambiguity Detection in NLI
EMNLP 2025
From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision
ICCV 2025
From End-to-end to Step-by-step: Learning to Abstract via Abductive Reinforcement Learning
IJCAI 2025
From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages
ACL 2025
From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning
ACL 2025
From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning
ICCV 2025
From Evidence Mining to Meta-Prediction: a Gradient of Methodologies for Task-Specific Challenges in Psychological Assessment
NAACL 2025
From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes
EMNLP 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
EMNLP 2025
From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination
IJCAI 2025
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models
EMNLP 2025
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
EMNLP 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
CVPR 2025
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
CVPR 2025
From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning
ICCV 2025
From Imitation to Introspection: Probing Self-Consciousness in Language Models
ACL 2025
From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs
EMNLP 2025
From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction
ACL 2025
From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization
ACL 2025
From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors
EMNLP 2025
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation
EMNLP 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
NAACL 2025
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
ICLR 2025