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)
Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations
EMNLP 2025
MedCite: Can Language Models Generate Verifiable Text for Medicine?
ACL 2025
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient
IJCAI 2025
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
EMNLP 2025
Mediation Analysis for Probabilities of Causation
AAAI 2025
Medical Text Simplification From Jargon Detection to Jargon-Aware Prompting
EMNLP 2025
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
ICLR 2025
Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums
NAACL 2025
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
EMNLP 2025
MedSummRAG: Domain-Specific Retrieval for Medical Summarization
ACL 2025
MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering
NAACL 2025
Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering
CVPR 2025
Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections
ACL 2025
MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval
ACL 2025
MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
CVPR 2025
Membership Inference Attacks with False Discovery Rate Control
ICCV 2025
MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation
ACL 2025
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
AAAI 2025
Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation
ACL 2025
Memorization or Reasoning? Exploring the Idiom Understanding of LLMs
EMNLP 2025
Memorization ≠ Understanding: Do Large Language Models Have the Ability of Scenario Cognition?
EMNLP 2025
Memorization vs. Reasoning: Updating LLMs with New Knowledge
ACL 2025
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
AAAI 2025
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning
ACL 2025
Memory-Efficient Continual Learning with Neural Collapse Contrastive
WACV 2025