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)
Unsupervised Dialog Structure Learning
NAACL 2019
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
ACL 2019
Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents
EMNLP 2019
Unsupervised Discovery of Parts, Structure, and Dynamics
ICLR 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
NeurIPS 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
CVPR 2019
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
AAAI 2019
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations
AAAI 2019
Unsupervised Domain Adaptation for Distance Metric Learning
ICLR 2019
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning
CVPR 2019
Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss
CVPR 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment
ICCV 2019
Unsupervised Domain-Specific Deblurring via Disentangled Representations
CVPR 2019
Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations
IJCAI 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
CVPR 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
NeurIPS 2019
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion
Interspeech 2019
Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions
JMLR 2019
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer
EMNLP 2019
Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
CVPR 2019
Unsupervised Extraction of Partial Translations for Neural Machine Translation
NAACL 2019
Unsupervised Fake News Detection on Social Media: A Generative Approach
AAAI 2019
Unsupervised Feature Selection by Pareto Optimization
AAAI 2019
Unsupervised Graph Association for Person Re-Identification
ICCV 2019
Unsupervised Hierarchical Story Infilling
NAACL 2019