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)
How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps
CVPR 2015
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification
CVPR 2015
Illumination Robust Color Naming via Label Propagation
ICCV 2015
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
ICML 2015
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
NeurIPS 2015
Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering
ACML 2015
Interactive Control of Diverse Complex Characters with Neural Networks
NeurIPS 2015
Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction
ICCV 2015
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database
CVPR 2015
Introducing Geometry in Active Learning for Image Segmentation
ICCV 2015
Is Approval Voting Optimal Given Approval Votes?
NeurIPS 2015
Is Feature Selection Secure against Training Data Poisoning?
ICML 2015
Is Object Localization for Free? - Weakly-Supervised Learning With Convolutional Neural Networks
CVPR 2015
Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints
JMLR 2015
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition
ICCV 2015
Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold
CVPR 2015
Joint Patch and Multi-Label Learning for Facial Action Unit Detection
CVPR 2015
Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction
CVPR 2015
Label optimal regret bounds for online local learning
COLT 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
NeurIPS 2015
Large-Scale Damage Detection Using Satellite Imagery
CVPR 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing
ICML 2015
Large-scale probabilistic predictors with and without guarantees of validity
NeurIPS 2015
Largest Source Subset Selection for Instance Transfer
ACML 2015
Latent feature regression for multivariate count data
AISTATS 2015