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)
Many-Shot In-Context Learning
NeurIPS 2024
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving
ACL 2024
Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets
NeurIPS 2024
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
EMNLP 2024
Mapping the Multiverse of Latent Representations
ICML 2024
Map-Relative Pose Regression for Visual Re-Localization
CVPR 2024
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
CVPR 2024
MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization
IJCAI 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
EMNLP 2024
MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline
ACL 2024
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
AAAI 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
ACL 2024
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
ACL 2024
MASIVE: Open-Ended Affective State Identification in English and Spanish
EMNLP 2024
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning
CVPR 2024
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
AAAI 2024
Masked and Shuffled Blind Spot Denoising for Real-World Images
CVPR 2024
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
CVPR 2024
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation
WACV 2024
Masked Pre-training Enables Universal Zero-shot Denoiser
NeurIPS 2024
Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
CVPR 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
ACL 2024
Mask Grounding for Referring Image Segmentation
CVPR 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
WACV 2024
Masking Latent Gender Knowledge for Debiasing Image Captioning
NAACL 2024