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)
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
ACL 2023
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints
CVPR 2023
Enhancing Educational Dialogues: A Reinforcement Learning Approach for Generating AI Teacher Responses
ACL 2023
Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization
EMNLP 2023
Enhancing Hierarchical Text Classification through Knowledge Graph Integration
ACL 2023
Enhancing Human Summaries for Question-Answer Generation in Education
ACL 2023
Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation
EMNLP 2023
Enhancing Language Representation with Constructional Information for Natural Language Understanding
ACL 2023
Enhancing Multilingual Document-Grounded Dialogue Using Cascaded Prompt-Based Post-Training Models
ACL 2023
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words
ACL 2023
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
ACL 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
EMNLP 2023
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing
EMNLP 2023
Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task
ACL 2023
Enhancing Task-oriented Dialogue Systems with Generative Post-processing Networks
EMNLP 2023
Enhancing the EEG Speech Match Mismatch Tasks With Word Boundaries
Interspeech 2023
Enhancing the Self-Universality for Transferable Targeted Attacks
CVPR 2023
Enhancing Translation for Indigenous Languages: Experiments with Multilingual Models
ACL 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
EMNLP 2023
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition
CVPR 2023
Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language
ACL 2023
Enriching Wayúunaiki-Spanish Neural Machine Translation with Linguistic Information
ACL 2023
Ensemble-Based Blackbox Attacks on Dense Prediction
CVPR 2023
Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs
EMNLP 2023
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks
ACL 2023