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)
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation
ACL 2023
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields
EMNLP 2023
Mulan: A Multi-Level Alignment Model for Video Question Answering
EMNLP 2023
MulGT: Multi-Task Graph-Transformer with Task-Aware Knowledge Injection and Domain Knowledge-Driven Pooling for Whole Slide Image Analysis
AAAI 2023
MULLER: Multilayer Laplacian Resizer for Vision
ICCV 2023
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels
AAAI 2023
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks
ICML 2023
Multi-Agent Language Learning: Symbolic Mapping
ACL 2023
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking
ACL 2023
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning
ACML 2023
Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference
CVPR 2023
Multi-channel separation of dynamic speech and sound events
Interspeech 2023
Multi-Classifier Adversarial Optimization for Active Learning
AAAI 2023
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling
ACL 2023
Multi-Directional Subspace Editing in Style-Space
ICCV 2023
Multi-Domain Generalized Graph Meta Learning
AAAI 2023
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations
ACL 2023
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation
ICCV 2023
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
ACL 2023
Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System
ACL 2023
Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt
AAAI 2023
Multilateral Semantic Relations Modeling for Image Text Retrieval
CVPR 2023
Multi-Level Confidence Learning for Trustworthy Multimodal Classification
AAAI 2023
Multilingual Conceptual Coverage in Text-to-Image Models
ACL 2023
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
ACL 2023