Learning Types
56,253 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 (1,983)
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
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder
Interspeech 2020
Adaptive Probing Policies for Shortest Path Routing
NeurIPS 2020
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
AAAI 2020
Adaptive Region-Based Active Learning
ICML 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
ICML 2020
Adaptive Sampling for Stochastic Risk-Averse Learning
NeurIPS 2020
Adaptive Shrinkage Estimation for Streaming Graphs
NeurIPS 2020
Adaptive Speaker Normalization for CTC-Based Speech Recognition
Interspeech 2020
Adaptive Submodular Maximization under Stochastic Item Costs
COLT 2020
Adaptive Subspaces for Few-Shot Learning
CVPR 2020
Adaptive Trade-Offs in Off-Policy Learning
AISTATS 2020
A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction
ACL 2020
A Dataset for Tracking Entities in Open Domain Procedural Text
EMNLP 2020
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task
EMNLP 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training
MIDL 2020
A Deep Generative Model for Fragment-Based Molecule Generation
AISTATS 2020
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
MIDL 2020
A Deep Learning-Based Kalman Filter for Speech Enhancement
Interspeech 2020
A Deep Metric Learning Method for Biomedical Passage Retrieval
COLING 2020
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
ACL 2020
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
IJCAI 2020
Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2
EMNLP 2020
ADINet: Attribute Driven Incremental Network for Retinal Image Classification
CVPR 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
NeurIPS 2020
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning
AAAI 2020