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
'5
'10
'15
'20
'25
Papers (including subtopics)
CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation
AAAI 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles
NeurIPS 2020
Claim Check-Worthiness Detection as Positive Unlabelled Learning
EMNLP 2020
Clarity: Data-Driven Automatic Assessment of Product Competitiveness
AAAI 2020
ClarQ: A large-scale and diverse dataset for Clarification Question Generation
ACL 2020
Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction
ACL 2020
Class-Incremental Domain Adaptation
ECCV 2020
Class-incremental Learning via Deep Model Consolidation
WACV 2020
Class Prior Estimation in Active Positive and Unlabeled Learning
IJCAI 2020
Class Prior Estimation with Biased Positives and Unlabeled Examples
AAAI 2020
Clean-Label Backdoor Attacks on Video Recognition Models
CVPR 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
ICML 2020
CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval
EMNLP 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
ICML 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
NeurIPS 2020
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
ACL 2020
Closure Properties for Private Classification and Online Prediction
COLT 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics
CoRL 2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
ICML 2020
ClusterFit: Improving Generalization of Visual Representations
CVPR 2020
CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion
ACL 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
UAI 2020
CoachGAN
WACV 2020
Coarse Correlation in Extensive-Form Games
AAAI 2020
Coarse-to-Fine Pre-training for Named Entity Recognition
EMNLP 2020