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)
Noise and Metadata Sensitive Bottleneck Features for Improving Speaker Recognition with Non-Native Speech Input
Interspeech 2016
Noise Aware and Combined Noise Models for Speech Denoising in Unknown Noise Conditions
Interspeech 2016
Noisy Activation Functions
ICML 2016
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains
CVPR 2016
Non-Linear Smoothed Transductive Network Embedding with Text Information
ACML 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
ICML 2016
Non-sentential Question Resolution using Sequence to Sequence Learning
COLING 2016
Non-stochastic Best Arm Identification and Hyperparameter Optimization
AISTATS 2016
Non-Uniform Boosted MCE Training of Deep Neural Networks for Keyword Spotting
Interspeech 2016
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
ICML 2016
No-Regret Algorithms for Heavy-Tailed Linear Bandits
ICML 2016
NYTRO: When Subsampling Meets Early Stopping
AISTATS 2016
Observational-Interventional Priors for Dose-Response Learning
NeurIPS 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
CVPR 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification
PGM 2016
On Discriminative Framework for Single Channel Audio Source Separation
Interspeech 2016
One-class classification of point patterns of extremes
JMLR 2016
One-Shot Learning of Scene Locations via Feature Trajectory Transfer
CVPR 2016
Online Algorithms for Sum-Product Networks with Continuous Variables
PGM 2016
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
NeurIPS 2016
Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network
CVPR 2016
Online Learning With Bayesian Classification Trees
CVPR 2016
Online Learning with Feedback Graphs Without the Graphs
ICML 2016
Online PCA with Optimal Regret
JMLR 2016
Online Pricing with Strategic and Patient Buyers
NeurIPS 2016