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)
Universal Domain Adaptation
CVPR 2019
University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission
ACL 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
EMNLP 2019
Unprocessing Images for Learned Raw Denoising
CVPR 2019
Unraveling Antonym’s Word Vectors through a Siamese-like Network
ACL 2019
Unsupervised 3D Pose Estimation With Geometric Self-Supervision
CVPR 2019
Unsupervised 3D Reconstruction Networks
ICCV 2019
Unsupervised Aspect-Based Multi-Document Abstractive Summarization
EMNLP 2019
Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data
AAAI 2019
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation
ACL 2019
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations
NeurIPS 2019
Unsupervised Compositional Translation of Multiword Expressions
ACL 2019
Unsupervised Context Rewriting for Open Domain Conversation
EMNLP 2019
Unsupervised Controllable Text Formalization
AAAI 2019
Unsupervised Cross-Lingual Representation Learning
ACL 2019
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize
AAAI 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
NeurIPS 2019
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes
CVPR 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
CVPR 2019
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
AAAI 2019
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations
AAAI 2019
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings
EMNLP 2019
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning
CVPR 2019
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling
EMNLP 2019
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
CVPR 2019