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)
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues
CVPR 2019
Small and Practical BERT Models for Sequence Labeling
EMNLP 2019
Smooth Deep Image Generator from Noises
AAAI 2019
Snapshot Distillation: Teacher-Student Optimization in One Generation
CVPR 2019
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
AAAI 2019
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence
CVPR 2019
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
CVPR 2019
Soft Contextual Data Augmentation for Neural Machine Translation
ACL 2019
Soft Facial Landmark Detection by Label Distribution Learning
AAAI 2019
Soft Labels for Ordinal Regression
CVPR 2019
SoftRegex: Generating Regex from Natural Language Descriptions using Softened Regex Equivalence
EMNLP 2019
Soft Representation Learning for Sparse Transfer
ACL 2019
Software Component Prediction for Bug Reports
ACML 2019
SOSNet: Second Order Similarity Regularization for Local Descriptor Learning
CVPR 2019
SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation
ACL 2019
Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog
EMNLP 2019
SParC: Cross-Domain Semantic Parsing in Context
ACL 2019
Sparse Adversarial Perturbations for Videos
AAAI 2019
SparseFool: A Few Pixels Make a Big Difference
CVPR 2019
Sparse Sequence-to-Sequence Models
ACL 2019
Spatial-Aware Graph Relation Network for Large-Scale Object Detection
CVPR 2019
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
AAAI 2019
Spatially Variant Linear Representation Models for Joint Filtering
CVPR 2019
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping
AAAI 2019
Spatial-Temporal Person Re-Identification
AAAI 2019