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)
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
EMNLP 2024
Generalizing CNNs to graphs with learnable neighborhood quantization
NeurIPS 2024
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
WACV 2024
General Object Foundation Model for Images and Videos at Scale
CVPR 2024
General Point Model Pretraining with Autoencoding and Autoregressive
CVPR 2024
Generate then Refine: Data Augmentation for Zero-shot Intent Detection
EMNLP 2024
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
AAAI 2024
Generating Clarification Questions for Disambiguating Contracts
COLING 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
NeurIPS 2024
Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks
ACL 2024
Generating compositional scenes via Text-to-image RGBA Instance Generation
NeurIPS 2024
Generating Content for HDR Deghosting from Frequency View
CVPR 2024
Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning
ACL 2024
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning
EMNLP 2024
Generating Illustrated Instructions
CVPR 2024
Generating Images of Rare Concepts Using Pre-trained Diffusion Models
AAAI 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers
AAAI 2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization
NeurIPS 2024
Generative-Based Fusion Mechanism for Multi-Modal Tracking
AAAI 2024
Generative Dictionary: Improving Language Learner Understanding with Contextual Definitions
EMNLP 2024
Generative Flow Networks as Entropy-Regularized RL
AISTATS 2024
Generative Image Dynamics
CVPR 2024
Generative Model-Based Feature Knowledge Distillation for Action Recognition
AAAI 2024
Generative Multi-modal Models are Good Class Incremental Learners
CVPR 2024
Generative Multimodal Models are In-Context Learners
CVPR 2024