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)
COBE: Contextualized Object Embeddings from Narrated Instructional Video
NeurIPS 2020
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification
CVPR 2020
CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines
AAAI 2020
COD3S: Diverse Generation with Discrete Semantic Signatures
EMNLP 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
EMNLP 2020
Coding Textual Inputs Boosts the Accuracy of Neural Networks
EMNLP 2020
Co-GCN for Multi-View Semi-Supervised Learning
AAAI 2020
Coherent Hierarchical Multi-Label Classification Networks
NeurIPS 2020
Coherent Reconstruction of Multiple Humans From a Single Image
CVPR 2020
Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks
EMNLP 2020
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
CVPR 2020
Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning
AAAI 2020
Collaborative Sampling in Generative Adversarial Networks
AAAI 2020
Collegial Ensembles
NeurIPS 2020
ColorFool: Semantic Adversarial Colorization
CVPR 2020
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
CVPR 2020
Combinational Class Activation Maps for Weakly Supervised Object Localization
WACV 2020
Combining BERT with Static Word Embeddings for Categorizing Social Media
EMNLP 2020
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract)
AAAI 2020
Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis
AACL 2020
Combining Subword Representations into Word-level Representations in the Transformer Architecture
ACL 2020
CoMIR: Contrastive Multimodal Image Representation for Registration
NeurIPS 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
EMNLP 2020
Commonsense Knowledge Base Completion with Structural and Semantic Context
AAAI 2020
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
EMNLP 2020