Learning Types
56,254 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,984)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
ACL 2023
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
ACL 2023
Improving generalization in large langue model by learning prefix subspaces
EMNLP 2023
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
ICCV 2023
Improving Generalization With Domain Convex Game
CVPR 2023
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification
ACL 2023
Improving Grammatical Error Correction with Multimodal Feature Integration
ACL 2023
Improving Heterogeneous Model Reuse by Density Estimation
IJCAI 2023
Improving Image Recognition by Retrieving From Web-Scale Image-Text Data
CVPR 2023
Improving Input-label Mapping with Demonstration Replay for In-context Learning
EMNLP 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
AAAI 2023
Improving Knowledge Graph Completion with Generative Hard Negative Mining
ACL 2023
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
ICML 2023
Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation
Interspeech 2023
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling
EMNLP 2023
Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation
ACL 2023
Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies
ACL 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
ICML 2023
Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation
EMNLP 2023
Improving multimodal datasets with image captioning
NeurIPS 2023
Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation
EMNLP 2023
Improving multiple-try Metropolis with local balancing
JMLR 2023
Improving Multi-Stage Long Document Summarization with Enhanced Coarse Summarizer
EMNLP 2023
Improving Named Entity Recognition via Bridge-based Domain Adaptation
ACL 2023
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting
EMNLP 2023