Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
ACL 2026
Minimal Free Resolution Guided Adaptive Tree Reasoning
ACL 2026
Mining Attribute Subspaces for Efficient Fine-tuning of 3D Foundation Models
CVPR 2026
MiniRAG: A Lightweight RAG system with Small Language Models
ACL 2026
Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
CVPR 2026
Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
ACL 2026
Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation
CVPR 2026
Mitigating Safety Context Amnesia in Multimodal Reasoning Models via Intent-Guided Safety Reasoning
ACL 2026
Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO
ACL 2026
Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis
CVPR 2026
Mitigating The Distribution Shift of Diffusion-based Dataset Distillation
CVPR 2026
MIUN BiasPatrol at SemEval-2026 Task 13: Why TF-IDF can Beat Transformers for OOD Code Detection
SemEval 2026
MIX-based Foreground and Background Patch Augmentation Guided by Physics and Material Properties for X-ray Detection
WACV 2026
MixER: From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
WACV 2026
MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture
CVPR 2026
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
ACL 2026
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
ACL 2026
Mixture of Prototypes for Test-time Adaptive Segmentation
CVPR 2026
Mixture of Style Experts for Diverse Image Stylization
CVPR 2026
MKJ at SemEval-2026 Task 9: A Comparative Study of Generalist, Specialist, and Ensemble Strategies for Multilingual Polarization
SemEval 2026
MLLMSplat: A 2D MLLM-Powered Framework for 3D Gaussian Splatting Understanding, Generation, and Editing
CVPR 2026
MM-ACT: Learn from Multimodal Parallel Generation to Act
CVPR 2026
MMCP-GEN: A Modality-Extensible Diffusion Language Model for Conditional Protein Sequence Generation
CVPR 2026
MMFace-DiT: A Dual-Stream Diffusion Transformer for High-Fidelity Multimodal Face Generation
CVPR 2026
MMG-VL: A Vision-Language Driven Approach for Multi-Person Motion Generation
AAAI 2026