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)
Marker-Removal Networks To Collect Precise 3D Hand Data for RGB-Based Estimation and Its Application in Piano
WACV 2023
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg
CVPR 2023
MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning
SemEval 2023
Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog
ACL 2023
Mask3D: Pre-Training 2D Vision Transformers by Learning Masked 3D Priors
CVPR 2023
MaskBooster: End-to-End Self-Training for Sparsely Supervised Instance Segmentation
AAAI 2023
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
CVPR 2023
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
CVPR 2023
Masked and Adaptive Transformer for Exemplar Based Image Translation
CVPR 2023
Masked Audio Text Encoders are Effective Multi-Modal Rescorers
ACL 2023
Masked Autoencoders Enable Efficient Knowledge Distillers
CVPR 2023
Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond
CVPR 2023
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
CVPR 2023
Masked Image Modeling with Denoising Contrast
ICLR 2023
Masked Image Modeling With Local Multi-Scale Reconstruction
CVPR 2023
Masked Images Are Counterfactual Samples for Robust Fine-Tuning
CVPR 2023
Masked Image Training for Generalizable Deep Image Denoising
CVPR 2023
Masked Latent Semantic Modeling: an Efficient Pre-training Alternative to Masked Language Modeling
ACL 2023
Masked Motion Encoding for Self-Supervised Video Representation Learning
CVPR 2023
Masked Path Modeling for Vision-and-Language Navigation
EMNLP 2023
Masked Representation Learning for Domain Generalized Stereo Matching
CVPR 2023
Masked Trajectory Models for Prediction, Representation, and Control
ICML 2023
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning
NeurIPS 2023
Masked Unsupervised Self-training for Label-free Image Classification
ICLR 2023
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning
CVPR 2023