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)
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
CVPR 2024
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images
NeurIPS 2024
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation
AAAI 2024
Progressive Fourier Neural Representation for Sequential Video Compilation
ICLR 2024
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense
AAAI 2024
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning
CVPR 2024
Project-Fair and Truthful Mechanisms for Budget Aggregation
AAAI 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs
COLT 2024
ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution
ACL 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
EMNLP 2024
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
ICML 2024
Promoting Constructive Deliberation: Reframing for Receptiveness
EMNLP 2024
Promoting Counterfactual Robustness through Diversity
AAAI 2024
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread
AAAI 2024
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
CVPR 2024
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
CVPR 2024
PromptAD: Zero-Shot Anomaly Detection Using Text Prompts
WACV 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
NeurIPS 2024
Prompt Augmentation for Self-supervised Text-guided Image Manipulation
CVPR 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
EMNLP 2024
Prompt-Based Length Controlled Generation with Multiple Control Types
ACL 2024
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
COLING 2024
Prompt-Driven Referring Image Segmentation with Instance Contrasting
CVPR 2024
Prompt Engineering a Prompt Engineer
ACL 2024
Prompt-Enhanced Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
CVPR 2024