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)
Data-dependent Gaussian Prior Objective for Language Generation
ICLR 2020
Data Diversification: A Simple Strategy For Neural Machine Translation
NeurIPS 2020
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining
CVPR 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
CVPR 2020
DATAMAFIA at WNUT-2020 Task 2: A Study of Pre-trained Language Models along with Regularization Techniques for Downstream Tasks
EMNLP 2020
Data Selection for Unsupervised Translation of German–Upper Sorbian
EMNLP 2020
Data-to-Text Generation with Style Imitation
EMNLP 2020
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads
CVPR 2020
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification
AAAI 2020
De-Biased Court’s View Generation with Causality
EMNLP 2020
Debiasing knowledge graph embeddings
EMNLP 2020
Decentralized MCTS via Learned Teammate Models
IJCAI 2020
Decoupled Attention Network for Text Recognition
AAAI 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
ACL 2020
Deep 3D Portrait From a Single Image
CVPR 2020
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient
AACL 2020
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images
CVPR 2020
DeepAlerts: Deep Learning Based Multi-Horizon Alerts for Clinical Deterioration on Oncology Hospital Wards
AAAI 2020
Deep Attentive End-to-End Continuous Breath Sensing from Speech
Interspeech 2020
Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations
EMNLP 2020
DeepCap: Monocular Human Performance Capture Using Weak Supervision
CVPR 2020
Deep Conservative Policy Iteration
AAAI 2020
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data
CVPR 2020
Deep Degradation Prior for Low-Quality Image Classification
CVPR 2020
Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization
COLING 2020