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)
MasRouter: Learning to Route LLMs for Multi-Agent Systems
ACL 2025
Massively Multilingual Instruction-Following Information Extraction
ACL 2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
EMNLP 2025
MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering
IJCAI 2025
Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness
ICCV 2025
MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures - A Comprehensive Framework
EMNLP 2025
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
ICLR 2025
MATCH: Task-Driven Code Evaluation through Contrastive Learning
EMNLP 2025
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks
ACL 2025
MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
ICLR 2025
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
ACL 2025
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
AAAI 2025
Mat-Instructions: A Large-Scale Inorganic Material Instruction Dataset for Large Language Models
IJCAI 2025
MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction
NAACL 2025
Matrix3D: Large Photogrammetry Model All-in-One
CVPR 2025
MATS: An Audio Language Model under Text-only Supervision
ICML 2025
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
ICCV 2025
MAviS: A Multimodal Conversational Assistant For Avian Species
EMNLP 2025
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
ICLR 2025
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval
ACL 2025
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
ICLR 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
EMNLP 2025
M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models
EMNLP 2025
MBTI: Masked Blending Transformers with Implicit Positional Encoding for Frame-rate Agnostic Motion Estimation
ICCV 2025
MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing
EMNLP 2025