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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'10
'15
'20
'25
Papers (including subtopics)
MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging
AAAI 2026
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
WACV 2026
MERIT Feedback Elicits Better Bargaining in LLM Negotiators
ACL 2026
MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning
EACL 2026
ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation
AAAI 2026
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
AAAI 2026
MetaDiT: Enabling Fine-grained Constraints in High-degree-of Freedom Metasurface Design
AAAI 2026
Meta-GAIN for Missing Data Imputation
AAAI 2026
MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization
AAAI 2026
MF-Speech: Achieving Fine-Grained and Compositional Control in Speech Generation via Factor Disentanglement
AAAI 2026
MHB: Medical Hallucination Benchmark for Large Language Models in Complex Clinical Tasks
AAAI 2026
MIDI-PHOR: Multi-View Distillation for Music Understanding and Captioning
EACL 2026
MindFlayer at SemEval-2026 Task 13:LACR-ENS: Calibration-Aware Ensemble Routing for Cross-Language AI-Generated Code Detection
SemEval 2026
MINDS at SemEval-2026-Task 13: Robust Detection of Machine-Generated Code under Distribution Shift
SemEval 2026
MINDS at SemEval-2026-Task 1: Enhancing Humor Generation through RAG and Synthetic DPO Alignment
SemEval 2026
Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
ACL 2026
Minimax optimal differentially private synthetic data for smooth queries
COLT 2026
Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract)
AAAI 2026
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
EACL 2026
Mitigating Degree Bias in Hypergraphs via Attribute-as-Structure Approach
EACL 2026
Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models
AAAI 2026
Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
CVPR 2026
Mitigating Negative Flips via Margin Preserving Training
AAAI 2026
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment
WACV 2026