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Learning Types

28,663 papers (1 classified directly here)

Subtopics

Representation Learning (4,925) Multi-Modal Learning (3,301) Self-Supervised Learning (3,224) Transfer Learning (2,822) Adversarial Learning (2,112) Deep Learning (1,856) Contrastive Learning (1,494) Knowledge Distillation (1,329) Reinforcement Learning (1,328) Fine-Tuning (1,023) Multi-Task Learning (973) Domain Adaptation (864) Zero-Shot Learning (668) Unsupervised Learning (666) Few-Shot Learning (623) Retrieval-Augmented Generation (618) Data Augmentation (487) Classification (482) Semi-Supervised Learning (407) Weakly Supervised Learning (392) Multimodal Learning (361) In-Context Learning (357) Continual Learning (319) Sequence Modeling (256) Meta-Learning (222) Metric Learning (190) Ensemble Learning (188) Multi-Lingual Learning (172) Federated Learning (169) Prompt Engineering (136) Robustness (133) Imitation Learning (125) Reinforcement Learning from Human Feedback (119) Multi-Label Classification (103) Curriculum Learning (76) Chain-of-Thought Reasoning (68) Text Generation (67) Multi-Agent Systems (63) Uncertainty Quantification (62) Parameter-Efficient Fine-Tuning (56) Object Detection (55) Domain Generalization (55) Machine Translation (52) Neural Architecture Search (51) Regression (43) Semantic Segmentation (40) Active Learning (40) Synthetic Data Generation (38) Multi-View Learning (38) Preference Learning (36) Sequence Labeling (33) Feature Learning (32) Reasoning (32) Image Generation (29) Instruction Tuning (28) Machine Unlearning (27) Text Classification (26) Out-of-Distribution Detection (25) Fairness (24) Chain-of-Thought (23) Pre-Training (23) Multi-Instance Learning (23) Natural Language Generation (23) Clustering (22) Generative Model (20) Structured Prediction (20) Supervised Learning (20) Code Generation (20) Multi-Domain Learning (19) Controllable Generation (17) Parameter Efficient Fine-Tuning (16) Multi-Scale Learning (15) Model-Based RL (15) Anomaly Detection (14) Distributed Learning (14) Image Restoration (13) Sparse Learning (13) Model Merging (11) Distribution Shift (11) Multi-Objective Optimization (11) Image Processing (11) Neural Machine Translation (11) Robust Learning (10) Privacy (10) Generation (9) Time Series (9) Image Classification (8) Multi-Source Learning (7) Interactive Learning (7) Instance Segmentation (7) Multi-Label Learning (6) Multi-Class Classification (5) Causal Inference (5)

Papers per year

21
160
2975
4773
'10
'15
'20
'25

Papers (including subtopics)

Transfer Learning by Borrowing Examples for Multiclass Object Detection NIPS 2011
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Pylon Model for Semantic Segmentation NIPS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Deep Learning for Efficient Discriminative Parsing AISTATS 2011
Deep Sparse Rectifier Neural Networks AISTATS 2011
Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM AISTATS 2011
Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Deep Coding Network NIPS 2010
Boosting Classifier Cascades NIPS 2010
Size Matters: Metric Visual Search Constraints from Monocular Metadata NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NIPS 2010
Pose-Sensitive Embedding by Nonlinear NCA Regression NIPS 2010
Active Learning Applied to Patient-Adaptive Heartbeat Classification NIPS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010