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)
Target-Side Augmentation for Document-Level Machine Translation
ACL 2023
Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction
EMNLP 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
ACL 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation
EMNLP 2023
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
ICLR 2023
Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing
EMNLP 2023
Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task
EMNLP 2023
Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System
ACL 2023
Task Residual for Tuning Vision-Language Models
CVPR 2023
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
CVPR 2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
EMNLP 2023
TAVT: Towards Transferable Audio-Visual Text Generation
ACL 2023
Taxonomy-Structured Domain Adaptation
ICML 2023
TCE at Qur’an QA 2023 Shared Task: Low Resource Enhanced Transformer-based Ensemble Approach for Qur’anic QA
EMNLP 2023
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
EMNLP 2023
T-distributed Spherical Feature Representation for Imbalanced Classification
AAAI 2023
Teacher and Student Models of Offensive Language in Social Media
ACL 2023
Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models
CVPR 2023
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
ICLR 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
EACL 2023
Teaching Matters: Investigating the Role of Supervision in Vision Transformers
CVPR 2023
Teaching Small Language Models to Reason
ACL 2023
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification
ACL 2023
Team Converge at ProbSum 2023: Abstractive Text Summarization of Patient Progress Notes
ACL 2023
TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline
ACL 2023