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)
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract)
AAAI 2021
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction
ACL 2021
Improving Machine Translation of Rare and Unseen Word Senses
EMNLP 2021
Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning
EMNLP 2021
Improving Model Generalization: A Chinese Named Entity Recognition Case Study
ACL 2021
Improving Multilingual Neural Machine Translation with Auxiliary Source Languages
EMNLP 2021
Improving Multilingual Translation by Representation and Gradient Regularization
EMNLP 2021
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis
EMNLP 2021
Improving Multi-Party Dialogue Discourse Parsing via Domain Integration
EMNLP 2021
Improving Multiple Object Tracking With Single Object Tracking
CVPR 2021
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
ACL 2021
Improving Neural Machine Translation by Bidirectional Training
EMNLP 2021
Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship
CVPR 2021
Improving Panoptic Segmentation at All Scales
CVPR 2021
Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement
Interspeech 2021
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
ACL 2021
Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding
EMNLP 2021
Improving Punctuation Restoration for Speech Transcripts via External Data
EMNLP 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
EMNLP 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
AAAI 2021
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
EMNLP 2021
Improving Sign Language Translation With Monolingual Data by Sign Back-Translation
CVPR 2021
Improving Similar Language Translation With Transfer Learning
EMNLP 2021
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
ACL 2021
Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation
EMNLP 2021