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)
MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning
AAAI 2023
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection
CVPR 2023
Metric Multi-View Graph Clustering
AAAI 2023
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning
AAAI 2023
MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
AAAI 2023
MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data
AAAI 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
AAAI 2023
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
CVPR 2023
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
CVPR 2023
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
CVPR 2023
MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL
AAAI 2023
MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning
ACL 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling
NeurIPS 2023
MIMT: Masked Image Modeling Transformer for Video Compression
ICLR 2023
Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation
EMNLP 2023
Mind the Gap: Offline Policy Optimization for Imperfect Rewards
ICLR 2023
Mind the Gap: Polishing Pseudo Labels for Accurate Semi-supervised Object Detection
AAAI 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
AISTATS 2023
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
ACL 2023
Minimum Description Length Control
ICLR 2023
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
AAAI 2023
Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control
EMNLP 2023
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition
ACL 2023
Misery Loves Complexity: Exploring Linguistic Complexity in the Context of Emotion Detection
EMNLP 2023
Misleading Relation Classifiers by Substituting Words in Texts
ACL 2023