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)
Learning a visuomotor controller for real world robotic grasping using simulated depth images
CoRL 2017
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images
CVPR 2017
Learning Character-level Compositionality with Visual Features
ACL 2017
Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network
ACL 2017
Learning Combinatorial Optimization Algorithms over Graphs
NeurIPS 2017
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
CVPR 2017
Learning Deep CNN Denoiser Prior for Image Restoration
CVPR 2017
Learning Deep Context-Aware Features Over Body and Latent Parts for Person Re-Identification
CVPR 2017
Learning Deep Semantic Embeddings for Cross-Modal Retrieval
ACML 2017
Learning deep structured network for weakly supervised change detection
IJCAI 2017
Learning Detailed Face Reconstruction From a Single Image
CVPR 2017
Learning Discriminative and Transformation Covariant Local Feature Detectors
CVPR 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
NeurIPS 2017
Learning Dynamic Guidance for Depth Image Enhancement
CVPR 2017
Learning Efficient Object Detection Models with Knowledge Distillation
NeurIPS 2017
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
CoRL 2017
Learning Fine-grained Relations from Chinese User Generated Categories
EMNLP 2017
Learning From Simulated and Unsupervised Images Through Adversarial Training
CVPR 2017
Learning From Synthetic Humans
CVPR 2017
Learning Generic Sentence Representations Using Convolutional Neural Networks
EMNLP 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules
NeurIPS 2017
Learning Language Representations for Typology Prediction
EMNLP 2017
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
CVPR 2017
Learning Multiple Tasks with Multilinear Relationship Networks
NeurIPS 2017
Learning multiple visual domains with residual adapters
NeurIPS 2017