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)
Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction
CVPR 2022
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
EMNLP 2022
Maslow’s Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation
ICML 2022
Massive-scale Decoding for Text Generation using Lattices
NAACL 2022
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
ICLR 2022
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering
EMNLP 2022
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability
ACL 2022
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
NeurIPS 2022
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
CVPR 2022
Matryoshka Representation Learning
NeurIPS 2022
Maximum Class Separation as Inductive Bias in One Matrix
NeurIPS 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
ICML 2022
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
CVPR 2022
Max-Margin Contrastive Learning
AAAI 2022
M-BAD: A Multilabel Dataset for Detecting Aggressive Texts and Their Targets
ACL 2022
MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract)
AAAI 2022
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
NeurIPS 2022
MCMAE: Masked Convolution Meets Masked Autoencoders
NeurIPS 2022
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
EMNLP 2022
MCSE: Multimodal Contrastive Learning of Sentence Embeddings
NAACL 2022
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation
AAAI 2022
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction
ACL 2022
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking
AAAI 2022
Measuring and Improving Semantic Diversity of Dialogue Generation
EMNLP 2022
Measuring and Mitigating Name Biases in Neural Machine Translation
ACL 2022