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)
Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation
AAAI 2020
Importance-Aware Learning for Neural Headline Editing
AAAI 2020
Improved Few-Shot Visual Classification
CVPR 2020
Improved Knowledge Distillation via Teacher Assistant
AAAI 2020
Improved Natural Language Generation via Loss Truncation
ACL 2020
Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning
Interspeech 2020
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding
ACL 2020
Improved Visual-Semantic Alignment for Zero-Shot Object Detection
AAAI 2020
Improving Action Segmentation via Graph-Based Temporal Reasoning
CVPR 2020
Improving Adversarial Text Generation by Modeling the Distant Future
ACL 2020
Improving Arabic Text Categorization Using Transformer Training Diversification
COLING 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
NeurIPS 2020
Improving Autoregressive NMT with Non-Autoregressive Model
ACL 2020
Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks
Interspeech 2020
Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction
Interspeech 2020
Improving Document-Level Neural Machine Translation with Domain Adaptation
ACL 2020
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
AAAI 2020
Improving ECG Classification Using Generative Adversarial Networks
AAAI 2020
Improving Entity Linking by Modeling Latent Entity Type Information
AAAI 2020
Improving Entity Linking through Semantic Reinforced Entity Embeddings
ACL 2020
Improving Event Detection via Open-domain Trigger Knowledge
ACL 2020
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples
EMNLP 2020
Improving Image Captioning with Better Use of Caption
ACL 2020
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
EMNLP 2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
EMNLP 2020