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)
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
CVPR 2024
Phonetic and Lexical Discovery of Canine Vocalization
EMNLP 2024
PhyRecon: Physically Plausible Neural Scene Reconstruction
NeurIPS 2024
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
CVPR 2024
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
NeurIPS 2024
Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics
CoRL 2024
Physics-Aware Hand-Object Interaction Denoising
CVPR 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
NeurIPS 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations
IJCAI 2024
Physics-Informed Representation and Learning: Control and Risk Quantification
AAAI 2024
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
NeurIPS 2024
PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion
CVPR 2024
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence
ACML 2024
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns
CVPR 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
AAAI 2024
PIGEON: Predicting Image Geolocations
CVPR 2024
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
CVPR 2024
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
NeurIPS 2024
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion
EMNLP 2024
PiShield: A PyTorch Package for Learning with Requirements
IJCAI 2024
Pitfalls and Outlooks in Using COMET
EMNLP 2024
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
NeurIPS 2024
pix2gestalt: Amodal Segmentation by Synthesizing Wholes
CVPR 2024
Pixel-Aligned Language Model
CVPR 2024
Pixel-Grounded Prototypical Part Networks
WACV 2024