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
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Papers (including subtopics)
Learning to Sketch With Shortcut Cycle Consistency
CVPR 2018
Learning to Understand Image Blur
CVPR 2018
Learning towards Minimum Hyperspherical Energy
NeurIPS 2018
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples
IJCAI 2018
Learning to Write with Cooperative Discriminators
ACL 2018
Learning Transferable UAV for Forest Visual Perception
IJCAI 2018
Learning Translations via Images with a Massively Multilingual Image Dataset
ACL 2018
Learning under p-Tampering Attacks
ALT 2018
Learning under Misspecified Objective Spaces
CoRL 2018
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder
EMNLP 2018
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples
COLING 2018
Learning What Information to Give in Partially Observed Domains
CoRL 2018
Learning What to Share: Leaky Multi-Task Network for Text Classification
COLING 2018
Learning with Adaptive Neighbors for Image Clustering
IJCAI 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
NeurIPS 2018
Learning with Sparse and Biased Feedback for Personal Search
IJCAI 2018
Learning Word Embeddings for Low-Resource Languages by PU Learning
NAACL 2018
Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments
Interspeech 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
ICML 2018
Legal Judgment Prediction via Topological Learning
EMNLP 2018
LEGO: Learning Edge With Geometry All at Once by Watching Videos
CVPR 2018
Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation
NAACL 2018
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
ICML 2018
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
NAACL 2018
Leveraging Context Information for Natural Question Generation
NAACL 2018