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)
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
AAAI 2023
Synthetic Experience Replay
NeurIPS 2023
Synthetic Pre-Training Tasks for Neural Machine Translation
ACL 2023
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
CVPR 2023
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
AAAI 2023
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation
AAAI 2023
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics
EMNLP 2023
TableVLM: Multi-modal Pre-training for Table Structure Recognition
ACL 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding
EMNLP 2023
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation
ACL 2023
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
AAAI 2023
Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection
ACL 2023
TaCo: Textual Attribute Recognition via Contrastive Learning
AAAI 2023
Tagging-Assisted Generation Model with Encoder and Decoder Supervision for Aspect Sentiment Triplet Extraction
EMNLP 2023
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
AAAI 2023
Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation
ACL 2023
Take a Closer Look at Multilinguality! Improve Multilingual Pre-Training Using Monolingual Corpora Only
EMNLP 2023
Take Your Model Further: A General Post-refinement Network for Light Field Disparity Estimation via BadPix Correction
AAAI 2023
TalkUp: Paving the Way for Understanding Empowering Language
EMNLP 2023
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER
ACL 2023
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation
CVPR 2023
Tanimoto Random Features for Scalable Molecular Machine Learning
NeurIPS 2023
TAN Without a Burn: Scaling Laws of DP-SGD
ICML 2023
Target-Free Text-Guided Image Manipulation
AAAI 2023
Target-Oriented Relation Alignment for Cross-Lingual Stance Detection
ACL 2023