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)
Material Magic Wand: Material-Aware Grouping of 3D Parts in Untextured Meshes
CVPR 2026
MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning
ACL 2026
MauBERT: Universal Phonetic Inductive Biases for Few-Shot Acoustic Units Discovery
ACL 2026
Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning
ACL 2026
mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
SemEval 2026
McMaster NLP at SemEval-2026 Task 2: A Lightweight Multi-Feature System for Predicting Emotional Valence and Arousal over Time
SemEval 2026
MD2E: Modeling Depth-to-Edge Cues for Monocular Metric Depth Estimation
CVPR 2026
mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection
SemEval 2026
mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection
SemEval 2026
MDS-VQA: Model-Informed Data Selection for Video Quality Assessment
CVPR 2026
MeanAudio: Fast and Faithful Text-to-Audio Generation with Mean Flows
ACL 2026
MeanFlow Transformers with Representation Autoencoders
CVPR 2026
Measure The Feature Universe: Topology-based Pseudo Labeling and Gravity Consistency for Source-Free Domain Adaptation
CVPR 2026
Measuring and Mitigating Shortcut Reliance in Language Models with Probe-Based Representation Entanglement
ACL 2026
MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields
MIDL 2026
MedHastra at SemEval-2026 Task 13: Stylometric Ensembles and Transformer Fine-Tuning for Robust AI Code Detection, Attribution, and Adversarial Analysis
SemEval 2026
MedKCO: Medical Vision-Language Pretraining via Knowledge-Driven Cognitive Orchestration
CVPR 2026
MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding
CVPR 2026
MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities
WACV 2026
MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
CVPR 2026
MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping
CVPR 2026
MEMO: Human-like Crisp Edge Detection Using Masked Edge Prediction
CVPR 2026
Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping
CVPR 2026
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
ACL 2026
Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation
CVPR 2026