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)
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation
AAAI 2023
Rethinking Data-Free Quantization as a Zero-Sum Game
AAAI 2023
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
AAAI 2023
Rethinking Document-Level Relation Extraction: A Reality Check
ACL 2023
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
CVPR 2023
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective
CVPR 2023
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers
AAAI 2023
Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View
ACL 2023
Rethinking Semi-supervised Learning with Language Models
ACL 2023
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
Interspeech 2023
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models
EMNLP 2023
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
CVPR 2023
Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
CVPR 2023
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
ACL 2023
Rethinking the Visual Cues in Audio-Visual Speaker Extraction
Interspeech 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
NeurIPS 2023
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer
Interspeech 2023
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
CVPR 2023
Retrieval-Augmented Few-shot Text Classification
EMNLP 2023
Retrieval-augmented Image Captioning
EACL 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty
EMNLP 2023
Retrieval-augmented Video Encoding for Instructional Captioning
ACL 2023
Retrieval-based Controllable Molecule Generation
ICLR 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression
EMNLP 2023
Retrieval-Based Transformer for Table Augmentation
ACL 2023