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)
Fast and Accurate Inference of Plackett–Luce Models
NeurIPS 2015
Fast Bidirectional Probability Estimation in Markov Models
NeurIPS 2015
Fast Convergence of Regularized Learning in Games
NeurIPS 2015
Fast Exact Matrix Completion with Finite Samples
COLT 2015
Feature-Independent Context Estimation for Automatic Image Annotation
CVPR 2015
Fictitious Self-Play in Extensive-Form Games
ICML 2015
Fighting Bandits with a New Kind of Smoothness
NeurIPS 2015
Fine-Grained Recognition Without Part Annotations
CVPR 2015
Fixation Bank: Learning to Reweight Fixation Candidates
CVPR 2015
From Captions to Visual Concepts and Back
CVPR 2015
From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement
CVPR 2015
From Dependency to Causality: A Machine Learning Approach
JMLR 2015
From Emotions to Action Units With Hidden and Semi-Hidden-Task Learning
ICCV 2015
From Image-Level to Pixel-Level Labeling With Convolutional Networks
CVPR 2015
Functional Subspace Clustering with Application to Time Series
ICML 2015
GAP Safe screening rules for sparse multi-task and multi-class models
NeurIPS 2015
Generalization in Adaptive Data Analysis and Holdout Reuse
NeurIPS 2015
GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking
CVPR 2015
Guaranteed Outlier Removal for Rotation Search
ICCV 2015
Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification
ICCV 2015
Hidden Technical Debt in Machine Learning Systems
NeurIPS 2015
Hierarchical Label Queries with Data-Dependent Partitions
COLT 2015
High Confidence Policy Improvement
ICML 2015
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
NeurIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems
NeurIPS 2015