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)
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages
EMNLP 2024
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach
AAAI 2024
Self-Distilled Depth Refinement with Noisy Poisson Fusion
NeurIPS 2024
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
CVPR 2024
Self-Guided Masked Autoencoder
NeurIPS 2024
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
CVPR 2024
Self-Promoted Clustering-based Contrastive Learning for Brain Networks Pretraining
IJCAI 2024
Self-Prompt Mechanism for Few-Shot Image Recognition
AAAI 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NeurIPS 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models
ACL 2024
Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning
AAAI 2024
Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation
NeurIPS 2024
Self-Supervised Audio-Visual Soundscape Stylization
ECCV 2024
Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals
AAAI 2024
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
CVPR 2024
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
AAAI 2024
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data
AAAI 2024
Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans
WACV 2024
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
AAAI 2024
Self-Supervised Position Debiasing for Large Language Models
ACL 2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
EMNLP 2024
Self-Supervised Relation Alignment for Scene Graph Generation
WACV 2024
Self-Supervised Representation Learning from Arbitrary Scenarios
CVPR 2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization
AAAI 2024
Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion
ACL 2024