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
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'25
Papers (including subtopics)
Multimodal Target Speech Separation with Voice and Face References
Interspeech 2020
Multimodal Transformer for Multimodal Machine Translation
ACL 2020
Multi-Path Learning for Object Pose Estimation Across Domains
CVPR 2020
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds
CVPR 2020
Multiple Anchor Learning for Visual Object Detection
CVPR 2020
Multiple Instance Learning for Content Feedback Localization without Annotation
ACL 2020
Multi-Point Semantic Representation for Intent Classification
AAAI 2020
Multi-pretraining for Large-scale Text Classification
EMNLP 2020
Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning
WACV 2020
Multiscale Collaborative Deep Models for Neural Machine Translation
ACL 2020
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
CVPR 2020
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint
CVPR 2020
Multi-Scale Interactive Network for Salient Object Detection
CVPR 2020
Multi-Scale Progressive Fusion Network for Single Image Deraining
CVPR 2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
ICLR 2020
Multi-Sentence Argument Linking
ACL 2020
Multi-Source Distilling Domain Adaptation
AAAI 2020
Multi-Source Domain Adaptation for Visual Sentiment Classification
AAAI 2020
Multi-Speaker Video Dialog with Frame-Level Temporal Localization
AAAI 2020
Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation
AAAI 2020
Multi-Spectral Vehicle Re-Identification: A Challenge
AAAI 2020
Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos
EMNLP 2020
Multi-Stage Pre-training for Automated Chinese Essay Scoring
EMNLP 2020
Multi-Stage Pre-training for Low-Resource Domain Adaptation
EMNLP 2020
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes
AAAI 2020