Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Classification of Histology Sections via Multispectral Convolutional Sparse Coding
CVPR 2014
Collective Matrix Factorization Hashing for Multimodal Data
CVPR 2014
Consistent Binary Classification with Generalized Performance Metrics
NeurIPS 2014
Constructing Robust Affinity Graphs for Spectral Clustering
CVPR 2014
Context Driven Scene Parsing with Attention to Rare Classes
CVPR 2014
Convolutional Kernel Networks
NeurIPS 2014
Decorrelating Semantic Visual Attributes by Resisting the Urge to Share
CVPR 2014
Deep Convolutional Neural Network for Image Deconvolution
NeurIPS 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters
CVPR 2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
NeurIPS 2014
Deep Generative Stochastic Networks Trainable by Backprop
ICML 2014
Deep Joint Task Learning for Generic Object Extraction
NeurIPS 2014
Deep Learning Face Representation by Joint Identification-Verification
NeurIPS 2014
Deep Learning Face Representation from Predicting 10,000 Classes
CVPR 2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
NeurIPS 2014
Deep Networks with Internal Selective Attention through Feedback Connections
NeurIPS 2014
DeepPose: Human Pose Estimation via Deep Neural Networks
CVPR 2014
Deep Recursive Neural Networks for Compositionality in Language
NeurIPS 2014
Deterministic Policy Gradient Algorithms
ICML 2014
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities
CVPR 2014
Discriminative Metric Learning by Neighborhood Gerrymandering
NeurIPS 2014
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
NeurIPS 2014
Distance Encoded Product Quantization
CVPR 2014
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition
CVPR 2014
Do Deep Nets Really Need to be Deep?
NeurIPS 2014