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-supervised Label Augmentation via Input Transformations
ICML 2020
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
NeurIPS 2020
Self-Supervised Learning for Generalizable Out-of-Distribution Detection
AAAI 2020
Self-Supervised Learning for Pairwise Data Refinement
AACL 2020
Self-Supervised Learning of Appliance Usage
ICLR 2020
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos
CVPR 2020
Self-Supervised Learning of Pretext-Invariant Representations
CVPR 2020
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
CoRL 2020
Self-Supervised Learning of Video-Induced Visual Invariances
CVPR 2020
Self-supervised learning through the eyes of a child
NeurIPS 2020
Self-Supervised Localisation between Range Sensors and Overhead Imagery
RSS 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
EMNLP 2020
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints
IJCAI 2020
Self-Supervised Monocular Scene Flow Estimation
CVPR 2020
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume
CVPR 2020
Self-Supervised MultiModal Versatile Networks
NeurIPS 2020
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
CoRL 2020
Self-Supervised Pre-Training with Acoustic Configurations for Replay Spoofing Detection
Interspeech 2020
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging
MLHC 2020
Self-Supervised Relational Reasoning for Representation Learning
NeurIPS 2020
Self-Supervised Relationship Probing
NeurIPS 2020
Self-Supervised Representations Improve End-to-End Speech Translation
Interspeech 2020
Self-Supervised Scene De-Occlusion
CVPR 2020
Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract)
AAAI 2020
Self-Supervised Spoofing Audio Detection Scheme
Interspeech 2020