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)
Syntactic Parsing in Humans and Machines
ACL 2020
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks
ACL 2020
Synthetic Depth Transfer for Monocular 3D Object Pose Estimation in the Wild
AAAI 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data
CVPR 2020
Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction
EMNLP 2020
Tackling the Low-resource Challenge for Canonical Segmentation
EMNLP 2020
Tagged Back-translation Revisited: Why Does It Really Work?
ACL 2020
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
AAAI 2020
Tangent Images for Mitigating Spherical Distortion
CVPR 2020
TaPas: Weakly Supervised Table Parsing via Pre-training
ACL 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction
NeurIPS 2020
Target Inference in Argument Conclusion Generation
ACL 2020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks
CVPR 2020
Task-Aware Monocular Depth Estimation for 3D Object Detection
AAAI 2020
Task-Oriented Dialog Generation with Enhanced Entity Representation
Interspeech 2020
Task-Oriented Dialog Systems That Consider Multiple Appropriate Responses under the Same Context
AAAI 2020
TA-Student VQA: Multi-Agents Training by Self-Questioning
CVPR 2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
EMNLP 2020
TaxiNLI: Taking a Ride up the NLU Hill
CoNLL 2020
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
ACL 2020
Teaching Machine Comprehension with Compositional Explanations
EMNLP 2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
EMNLP 2020
Telescoping Density-Ratio Estimation
NeurIPS 2020
Telling Left From Right: Learning Spatial Correspondence of Sight and Sound
CVPR 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
EMNLP 2020