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)
Self-Paced Contextual Reinforcement Learning
CoRL 2019
Self-Paced Multi-Label Learning with Diversity
ACML 2019
Self-Regulated Interactive Sequence-to-Sequence Learning
ACL 2019
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification
ICCV 2019
Self-Supervised 3D Hand Pose Estimation Through Training by Fitting
CVPR 2019
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking
CVPR 2019
Self-Supervised Convolutional Subspace Clustering Network
CVPR 2019
Self-Supervised Deep Depth Denoising
ICCV 2019
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
NeurIPS 2019
Self-Supervised Deep Multi-View Subspace Clustering
ACML 2019
Self-Supervised Dialogue Learning
ACL 2019
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation
ICCV 2019
Self-Supervised Exploration via Disagreement
ICML 2019
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
NeurIPS 2019
Self-Supervised GANs via Auxiliary Rotation Loss
CVPR 2019
Self-Supervised Generalisation with Meta Auxiliary Learning
NeurIPS 2019
Self-Supervised Learning for Contextualized Extractive Summarization
ACL 2019
Self-Supervised Learning via Conditional Motion Propagation
CVPR 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation
AAAI 2019
Self-Supervised Monocular Depth Hints
ICCV 2019
Self-Supervised Moving Vehicle Tracking With Stereo Sound
ICCV 2019
Self-Supervised Neural Machine Translation
ACL 2019
Self-Supervised Representation Learning by Rotation Feature Decoupling
CVPR 2019
Self-Supervised Representation Learning From Multi-Domain Data
ICCV 2019
Self-Supervised Representation Learning From Videos for Facial Action Unit Detection
CVPR 2019