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)
Optimal Decision Tree with Noisy Outcomes
NeurIPS 2019
Optimal Dynamic Auctions Are Virtual Welfare Maximizers
AAAI 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
IJCAI 2019
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information
AAAI 2019
Optimal Minimal Margin Maximization with Boosting
ICML 2019
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
NeurIPS 2019
Optimal Projection Guided Transfer Hashing for Image Retrieval
AAAI 2019
Optimal Sampling and Clustering in the Stochastic Block Model
NeurIPS 2019
Optimal Testing in the Experiment-rich Regime
AISTATS 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
NeurIPS 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
NeurIPS 2019
Optimizing Interactive Systems with Data-Driven Objectives
IJCAI 2019
Optimizing over a Restricted Policy Class in MDPs
AISTATS 2019
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback
NeurIPS 2019
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
JMLR 2019
Orderly Subspace Clustering
AAAI 2019
Orthogonal Estimation of Wasserstein Distances
AISTATS 2019
Outlier Aware Network Embedding for Attributed Networks
AAAI 2019
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
IJCAI 2019
Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator
NeurIPS 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
NeurIPS 2019
Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition
CVPR 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks
EMNLP 2019
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution
AAAI 2019
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation
NAACL 2019