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)
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction
ACL 2023
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
ACL 2023
SAAL: Sharpness-Aware Active Learning
ICML 2023
Safe Multi-View Deep Classification
AAAI 2023
SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection
ICCV 2023
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
EMNLP 2023
Saliency Regularization for Self-Training with Partial Annotations
ICCV 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
ICML 2023
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
ICLR 2023
Sampling Better Negatives for Distantly Supervised Named Entity Recognition
ACL 2023
SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
ACL 2023
SANA at NADI 2023 shared task: Ensemble of Layer-Wise BERT-based models for Dialectal Arabic Identification
EMNLP 2023
SANGEA: Scalable and Attributed Network Generation
ACML 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition
ACL 2023
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
AAAI 2023
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
NeurIPS 2023
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
NeurIPS 2023
SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data
ICCV 2023
Scaffolding a Student to Instill Knowledge
ICLR 2023
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
ICML 2023
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities
NeurIPS 2023
Scalable Spatiotemporal Graph Neural Networks
AAAI 2023
Scalable Theory-Driven Regularization of Scene Graph Generation Models
AAAI 2023
ScaleDet: A Scalable Multi-Dataset Object Detector
CVPR 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 2023