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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'15
'20
'25
Papers (including subtopics)
Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection
ACL 2026
Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract)
COLT 2026
M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference
AAAI 2026
MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits
ACL 2026
Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization
CVPR 2026
MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration
AAAI 2026
MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models
AAAI 2026
MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation
AAAI 2026
MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
AAAI 2026
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
ACL 2026
MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models
CVPR 2026
MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
WACV 2026
MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI
WACV 2026
MageBench: Bridging Large Multimodal Models to Agents
WACV 2026
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents
AAAI 2026
Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling
AAAI 2026
Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
CVPR 2026
ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation
AAAI 2026
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models
AAAI 2026
Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability
AAAI 2026
Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval
AAAI 2026
MANTA: Physics-Informed Generalized Underwater Object Tracking
WACV 2026
Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting
ACL 2026
MARS: Multimodal Adaptive Reasoning Model for Avoiding Overthinking
AAAI 2026
MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning
AAAI 2026