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)
Cost Effective Active Search
NeurIPS 2019
Cost-Sensitive BERT for Generalisable Sentence Classification on Imbalanced Data
EMNLP 2019
Cost-sensitive Regularization for Label Confusion-aware Event Detection
ACL 2019
Cost-Sensitive Robustness against Adversarial Examples
ICLR 2019
CoT: Cooperative Training for Generative Modeling of Discrete Data
ICML 2019
Co-training for Policy Learning
UAI 2019
Countdown Regression: Sharp and Calibrated Survival Predictions
UAI 2019
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
AAAI 2019
Counterfactual Reasoning in Observational Studies
AAAI 2019
Counterfactual Story Reasoning and Generation
EMNLP 2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
EMNLP 2019
Counting With Focus for Free
ICCV 2019
Coupling Global and Local Context for Unsupervised Aspect Extraction
EMNLP 2019
Course Concept Expansion in MOOCs with External Knowledge and Interactive Game
ACL 2019
Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse
AAAI 2019
Covariate Shift Adaptation on Learning from Positive and Unlabeled Data
AAAI 2019
CPM-Nets: Cross Partial Multi-View Networks
NeurIPS 2019
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
AAAI 2019
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System
CVPR 2019
Crawling the Community Structure of Multiplex Networks
AAAI 2019
Creativity Inspired Zero-Shot Learning
ICCV 2019
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single-Corpus Evaluation Enough?
NAACL 2019
Cross-Corpus Speech Emotion Recognition Using Semi-Supervised Transfer Non-Negative Matrix Factorization with Adaptation Regularization
Interspeech 2019
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation
ICCV 2019
Cross-domain and Cross-lingual Abusive Language Detection: A Hybrid Approach with Deep Learning and a Multilingual Lexicon
ACL 2019