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)
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
WACV 2024
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
AAAI 2024
SAM-Guided Masked Token Prediction for 3D Scene Understanding
NeurIPS 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction
AAAI 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
NeurIPS 2024
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds
JMLR 2024
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs
EMNLP 2024
Sample-specific Masks for Visual Reprogramming-based Prompting
ICML 2024
Samsung R&D Institute Philippines @ WMT 2024 Indic MT Task
EMNLP 2024
Sandalphon@DravidianLangTech-EACL2024: Hate and Offensive Language Detection in Telugu Code-mixed Text using Transliteration-Augmentation
EACL 2024
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
NAACL 2024
SAOR: Single-View Articulated Object Reconstruction
CVPR 2024
SARCAT: Generative Span-Act Guided Response Generation using Copy-enhanced Target Augmentation
EMNLP 2024
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering
EMNLP 2024
Satyrn: A Platform for Analytics Augmented Generation
EMNLP 2024
Say Anything with Any Style
AAAI 2024
Scalable Early Childhood Reading Performance Prediction
NeurIPS 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach
EMNLP 2024
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement
IJCAI 2024
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale
ACL 2024
Scale-Free Image Keypoints Using Differentiable Persistent Homology
ICML 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers
NeurIPS 2024
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment
AAAI 2024
Scaling Down Deep Learning with MNIST-1D
ICML 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024