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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'20
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Papers (including subtopics)
Self-supervised Context-aware Style Representation for Expressive Speech Synthesis
Interspeech 2022
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks
NAACL 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
NeurIPS 2022
Self-Supervised Correlation Mining Network for Person Image Generation
CVPR 2022
Self-supervised Cross-modal Pretraining for Speech Emotion Recognition and Sentiment Analysis
EMNLP 2022
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation
CVPR 2022
Self-Supervised Domain Adaptation for Visual Navigation With Global Map Consistency
WACV 2022
Self-Supervised Enhancement of Latent Discovery in GANs
AAAI 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
CVPR 2022
Self-Supervised Fair Representation Learning without Demographics
NeurIPS 2022
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
WACV 2022
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels
CVPR 2022
Self-supervised Graph Masking Pre-training for Graph-to-Text Generation
EMNLP 2022
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
ICLR 2022
Self-supervised Graph Neural Networks for Multi-behavior Recommendation
IJCAI 2022
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing
AAAI 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
NeurIPS 2022
Self-Supervised Image Representation Learning With Geometric Set Consistency
CVPR 2022
Self-Supervised Image-Specific Prototype Exploration for Weakly Supervised Semantic Segmentation
CVPR 2022
Self-Supervised Inference in State-Space Models
ICLR 2022
Self-Supervised Intermediate Fine-Tuning of Biomedical Language Models for Interpreting Patient Case Descriptions
COLING 2022
Self-Supervised Keypoint Discovery in Behavioral Videos
CVPR 2022
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer
AAAI 2022
Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks
WACV 2022
Self-supervised Learning and Adaptation for Single Image Dehazing
IJCAI 2022