Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US
EMNLP 2024
SVGDreamer: Text Guided SVG Generation with Diffusion Model
CVPR 2024
SWAG: Storytelling With Action Guidance
EMNLP 2024
SWiBE: A Parameterized Stochastic Diffusion Process for Noise-Robust Bandwidth Expansion
Interspeech 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters
NeurIPS 2024
SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning
IJCAI 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
AAAI 2024
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents
NeurIPS 2024
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment
ICML 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
AAAI 2024
Symbolic Regression Enhanced Decision Trees for Classification Tasks
AAAI 2024
Symbolic Regression with a Learned Concept Library
NeurIPS 2024
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution
ACL 2024
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
ICLR 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning
AAAI 2024
Symmetry-Informed Governing Equation Discovery
NeurIPS 2024
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
ICLR 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
NeurIPS 2024
Synchronizing Approach in Designing Annotation Guidelines for Multilingual Datasets: A COVID-19 Case Study Using English and Japanese Tweets
ACL 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
CVPR 2024
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
AAAI 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval
ACL 2024
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
WACV 2024
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems
EMNLP 2024