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)
Infinite Markov-Switching Maximum Entropy Discrimination Machines
ICML 2013
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
ICML 2013
Information Complexity in Bandit Subset Selection
COLT 2013
Integrated Perception and Planning in the Continuous Space: A POMDP Approach
RSS 2013
Inverse Density as an Inverse Problem: the Fredholm Equation Approach
NeurIPS 2013
Is There a Procedural Logic to Architecture?
CVPR 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
NeurIPS 2013
It's Not Polite to Point: Describing People with Uncertain Attributes
CVPR 2013
Joint Deep Learning for Pedestrian Detection
ICCV 2013
Joint Harmonic Functions and Their Supervised Connections
JMLR 2013
Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines
CVPR 2013
Joint Transfer and Batch-mode Active Learning
ICML 2013
Kernelized Bayesian Matrix Factorization
ICML 2013
Kernel Null Space Methods for Novelty Detection
CVPR 2013
Label-Embedding for Attribute-Based Classification
CVPR 2013
Label Propagation from ImageNet to 3D Point Clouds
CVPR 2013
Language-Motivated Approaches to Action Recognition
JMLR 2013
Large-Scale Video Summarization Using Web-Image Priors
CVPR 2013
Latent Maximum Margin Clustering
NeurIPS 2013
Latent Multitask Learning for View-Invariant Action Recognition
ICCV 2013
Latent Structured Active Learning
NeurIPS 2013
Learning Adaptive Value of Information for Structured Prediction
NeurIPS 2013
Learning a Deep Compact Image Representation for Visual Tracking
NeurIPS 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
ICML 2013
Learning a set of directions
COLT 2013