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)
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
CVPR 2024
Extracting Prompts by Inverting LLM Outputs
EMNLP 2024
Extreme Point Supervised Instance Segmentation
CVPR 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
NeurIPS 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
CVPR 2024
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
NeurIPS 2024
FacadeNet: Conditional Facade Synthesis via Selective Editing
WACV 2024
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
AAAI 2024
Face Identity-Aware Disentanglement in StyleGAN
WACV 2024
FaceLift: Semi-supervised 3D Facial Landmark Localization
CVPR 2024
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text
CVPR 2024
Facilitating Multimodal Classification via Dynamically Learning Modality Gap
NeurIPS 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
AAAI 2024
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
ACL 2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
ACL 2024
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
NeurIPS 2024
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
AAAI 2024
FactorSim: Generative Simulation via Factorized Representation
NeurIPS 2024
FADES: Fair Disentanglement with Sensitive Relevance
CVPR 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
CVPR 2024
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding
EMNLP 2024
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
NeurIPS 2024
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
CVPR 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis
CVPR 2024