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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Papers (including subtopics)
The UNLP 2025 Shared Task on Detecting Social Media Manipulation
ACL 2025
The Unreasonable Effectiveness of Open Science in AI: A Replication Study
AAAI 2025
Things Machine Learning Models Know That They Don’t Know
AAAI 2025
Think and Recall: Layer-Level Prompting for Lifelong Model Editing
EMNLP 2025
Think&Cite: Improving Attributed Text Generation with Self-Guided Tree Search and Progress Reward Modeling
ACL 2025
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
ACL 2025
Thinking Out Loud: Do Reasoning Models Know When They’re Right?
EMNLP 2025
Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations
AAAI 2025
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
EMNLP 2025
Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate Speech.
ACL 2025
ThinkQE: Query Expansion via an Evolving Thinking Process
EMNLP 2025
ThinkSLM: Towards Reasoning in Small Language Models
EMNLP 2025
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
CVPR 2025
ThinkTuning: Instilling Cognitive Reflections without Distillation
EMNLP 2025
Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
IJCAI 2025
Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification
ICCV 2025
Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection
EMNLP 2025
t-HNE: A Text-guided Hierarchical Noise Eliminator for Multimodal Sentiment Analysis
COLING 2025
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
NAACL 2025
Thought calibration: Efficient and confident test-time scaling
EMNLP 2025
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
AAAI 2025
ThoughtSculpt: Reasoning with Intermediate Revision and Search
NAACL 2025
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
EMNLP 2025
THREAD: Thinking Deeper with Recursive Spawning
NAACL 2025
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
AAAI 2025