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)
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
MIDL 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
NeurIPS 2021
Model Agnostic Answer Reranking System for Adversarial Question Answering
EACL 2021
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans
AAAI 2021
Model-Aware Gesture-to-Gesture Translation
CVPR 2021
Model-Based 3D Hand Reconstruction via Self-Supervised Learning
CVPR 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts
IJCAI 2021
Model-Contrastive Federated Learning
CVPR 2021
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
NAACL 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
ICML 2021
Modeling and Training Strategies for Language Recognition Systems
Interspeech 2021
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model
EMNLP 2021
Modeling Dialectal Variation for Swiss German Automatic Speech Recognition
Interspeech 2021
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning
ACL 2021
Modeling Entity Knowledge for Fact Verification
EMNLP 2021
Modeling financial uncertainty with multivariate temporal entropy-based curriculums
UAI 2021
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
ICML 2021
Modeling Multi-Label Action Dependencies for Temporal Action Localization
CVPR 2021
Modeling Profanity and Hate Speech in Social Media with Semantic Subspaces
ACL 2021
Modeling Risky Choices in Unknown Environments
ACML 2021
Modeling the Compatibility of Stem Tracks to Generate Music Mashups
AAAI 2021
Modeling the Severity of Complaints in Social Media
NAACL 2021
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation
EACL 2021
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning
ICCV 2021
Model Linkage Selection for Cooperative Learning
JMLR 2021