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)
Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification
CVPR 2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data
EMNLP 2021
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
ACL 2021
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video
ICCV 2021
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding
EMNLP 2021
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning
CVPR 2021
Semantic-Aware Video Text Detection
CVPR 2021
Semantic Concentration for Domain Adaptation
ICCV 2021
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition
Interspeech 2021
Semantic Grouping Network for Video Captioning
AAAI 2021
Semantic Image Matting
CVPR 2021
Semantic Palette: Guiding Scene Generation With Class Proportions
CVPR 2021
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
CVPR 2021
Semantics-Aware Inferential Network for Natural Language Understanding
AAAI 2021
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop
CVPR 2021
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
CVPR 2021
Semi-Supervised Action Recognition With Temporal Contrastive Learning
CVPR 2021
Semi-supervised Intent Discovery with Contrastive Learning
EMNLP 2021
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus
AAAI 2021
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract)
AAAI 2021
Semi-Supervised Metric Learning: A Deep Resurrection
AAAI 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
NeurIPS 2021
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency
CVPR 2021
Semi-Supervised Video Deraining With Dynamical Rain Generator
CVPR 2021
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
ICLR 2021