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)
Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning
ACL 2026
looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning
SemEval 2026
LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls
ACL 2026
LoPrune: Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer
CVPR 2026
LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
ACL 2026
LOREAL: Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt Self-Distillation
CVPR 2026
LottieGPT: Tokenizing Vector Animation for Autoregressive Generation
CVPR 2026
LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport
ACL 2026
Love Me, Love My Label: Rethinking the Role of Labels in Prompt Retrieval for Visual In-Context Learning
CVPR 2026
Low-Rank Residual Diffusion Models
CVPR 2026
Low-Rank Test-Time Training for Pre-Trained Point Cloud Models
CVPR 2026
LumiX: Structured and Coherent Text-to-Intrinsic Generation
CVPR 2026
M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation
ACL 2026
M4-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection
CVPR 2026
M4V: Multimodal Mamba for Efficient Text-to-Video Generation
CVPR 2026
Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays
MIDL 2026
Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens
CVPR 2026
Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization
CVPR 2026
MacTok: Robust Continuous Tokenization for Image Generation
CVPR 2026
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
ACL 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
Making Large Language Models Efficient Dense Retrievers
ACL 2026
Making Logic a First-Class Citizen in Generative ML for Networking
NSDI 2026
MALTO at SemEval-2026 Task 13: Detecting Human, AI, and Hybrid Code via Hard Negative Mining and Curriculum-Driven Ensembles
SemEval 2026