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)
Knowledge Distillation: A Good Teacher Is Patient and Consistent
CVPR 2022
Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability
CVPR 2022
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
EMNLP 2022
Knowledge Distillation For CTC-based Speech Recognition Via Consistent Acoustic Representation Learning
Interspeech 2022
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation
AAAI 2022
Knowledge Distillation from A Stronger Teacher
NeurIPS 2022
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
NeurIPS 2022
Knowledge Distillation Transfer Sets and their Impact on Downstream NLU Tasks
EMNLP 2022
Knowledge Distillation via Constrained Variational Inference
AAAI 2022
Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer
Interspeech 2022
Knowledge Distillation via the Target-Aware Transformer
CVPR 2022
Knowledge Distillation With the Reused Teacher Classifier
CVPR 2022
Knowledge Graph Generation From Text
EMNLP 2022
Knowledge informed sustainability detection from short financial texts
EMNLP 2022
Knowledge Inheritance for Pre-trained Language Models
NAACL 2022
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
EMNLP 2022
Knowledge-Rich Self-Supervision for Biomedical Entity Linking
EMNLP 2022
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
AAAI 2022
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection
EMNLP 2022
Knowledge Transfer and Distillation from Autoregressive to Non-Autoregessive Speech Recognition
Interspeech 2022
Knowledge Transfer from Answer Ranking to Answer Generation
EMNLP 2022
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation
NAACL 2022
KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task
EMNLP 2022
KYB General Machine Translation Systems for WMT22
EMNLP 2022
Label Anchored Contrastive Learning for Language Understanding
NAACL 2022