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
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'15
'20
'25
Papers (including subtopics)
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
ACL 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
NeurIPS 2024
Model-Free Preference Elicitation
IJCAI 2024
Model-Free Representation Learning and Exploration in Low-Rank MDPs
JMLR 2024
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis
UAI 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
NeurIPS 2024
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
AAAI 2024
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
EACL 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
ICML 2024
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
CVPR 2024
Modeling Continuous Motion for 3D Point Cloud Object Tracking
AAAI 2024
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning
ACL 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
NeurIPS 2024
Modeling Moravian Memoirs: Ternary Sentiment Analysis in a Low Resource Setting
EACL 2024
Modeling Overregularization in Children with Small Language Models
ACL 2024
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation
EMNLP 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
Model Inversion Robustness: Can Transfer Learning Help?
CVPR 2024
Modelling Variability in Human Annotator Simulation
ACL 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
NeurIPS 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
AAAI 2024
Model Sensitivity Aware Continual Learning
NeurIPS 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models
ICML 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks
AAAI 2024
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
ICLR 2024