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)
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits
UAI 2019
On Implicit Filter Level Sparsity in Convolutional Neural Networks
CVPR 2019
On-Line Adaptative Curriculum Learning for GANs
AAAI 2019
Online Algorithm for Unsupervised Sensor Selection
AISTATS 2019
Online Algorithms for Rent-Or-Buy with Expert Advice
ICML 2019
Online Continual Learning with Maximal Interfered Retrieval
NeurIPS 2019
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback
NeurIPS 2019
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
AAAI 2019
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
NeurIPS 2019
Online Forecasting of Total-Variation-bounded Sequences
NeurIPS 2019
Online High Rank Matrix Completion
CVPR 2019
Online Learning from Capricious Data Streams: A Generative Approach
IJCAI 2019
Online Learning from Data Streams with Varying Feature Spaces
AAAI 2019
Online Learning via the Differential Privacy Lens
NeurIPS 2019
Online learning with feedback graphs and switching costs
AISTATS 2019
Online Multiclass Boosting with Bandit Feedback
AISTATS 2019
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
NeurIPS 2019
Online Pandora’s Boxes and Bandits
AAAI 2019
Online Prediction of Switching Graph Labelings with Cluster Specialists
NeurIPS 2019
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
NeurIPS 2019
Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies
ICCV 2019
Online-Within-Online Meta-Learning
NeurIPS 2019
On Making Reading Comprehension More Comprehensive
EMNLP 2019
On Measuring Gender Bias in Translation of Gender-neutral Pronouns
ACL 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NeurIPS 2019