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)
Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd
EMNLP 2025
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
ICLR 2025
Multi-modal Vision Pre-training for Medical Image Analysis
CVPR 2025
MultiMorph: On-demand Atlas Construction
CVPR 2025
Multi-objective Differentiable Neural Architecture Search
ICLR 2025
Multi-Objective Evolution of Heuristic Using Large Language Model
AAAI 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set
AAAI 2025
Multi-Objective Neural Bandits with Random Scalarization
IJCAI 2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
IJCAI 2025
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
AAAI 2025
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation
ACL 2025
Multi-perspective Analysis of Large Language Model Domain Specialization: An Experiment in Accounting Audit Procedures Generation
EMNLP 2025
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
AAAI 2025
Multi-Player Approaches for Dueling Bandits
AISTATS 2025
Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity
ACML 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
AAAI 2025
Multiplex Graph Representation Learning with Homophily and Consistency
AAAI 2025
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
ICLR 2025
Multi-Prompting Decoder Helps Better Language Understanding
ACL 2025
MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning
COLING 2025
Multi-Reward as Condition for Instruction-based Image Editing
ICLR 2025
Multi-Scale Contrastive Learning for Video Temporal Grounding
AAAI 2025
Multi-Scale Graph Learning for Anti-Sparse Downscaling
AAAI 2025
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
CVPR 2025