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)
DM2C: Deep Mixed-Modal Clustering
NeurIPS 2019
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
CVPR 2019
D-NET: A Pre-Training and Fine-Tuning Framework for Improving the Generalization of Machine Reading Comprehension
EMNLP 2019
Do Better ImageNet Models Transfer Better?
CVPR 2019
Do Deep Generative Models Know What They Don't Know?
ICLR 2019
Does Learning Specific Features for Related Parts Help Human Pose Estimation?
CVPR 2019
Domain Adaptation of Neural Machine Translation by Lexicon Induction
ACL 2019
Domain Adaptation of SRL Systems for Biological Processes
ACL 2019
Domain Adaptation with BERT-based Domain Classification and Data Selection
EMNLP 2019
Domain Adaptive Dialog Generation via Meta Learning
ACL 2019
Domain Adaptive Text Style Transfer
EMNLP 2019
Domain-agnostic Question-Answering with Adversarial Training
EMNLP 2019
Domain Generalization by Solving Jigsaw Puzzles
CVPR 2019
Domain Generalization via Multidomain Discriminant Analysis
UAI 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
EMNLP 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
CVPR 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation
CVPR 2019
DOM-Q-NET: Grounded RL on Structured Language
ICLR 2019
Do Multi-hop Readers Dream of Reasoning Chains?
EMNLP 2019
Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction
EMNLP 2019
Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
EMNLP 2019
Don't let your Discriminator be fooled
ICLR 2019
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
EMNLP 2019
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors
CVPR 2019
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain
ACL 2019