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)
Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration
CVPR 2024
Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models
EMNLP 2024
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks
EMNLP 2024
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
CVPR 2024
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
AAAI 2024
Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues
ACL 2024
PLIP: Language-Image Pre-training for Person Representation Learning
NeurIPS 2024
Plot Retrieval as an Assessment of Abstract Semantic Association
ACL 2024
Plot Twist: Multimodal Models Don’t Comprehend Simple Chart Details
EMNLP 2024
Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception
ECCV 2024
Plug-and-Play Diffusion Distillation
CVPR 2024
Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring
IJCAI 2024
Plug-In Diffusion Model for Sequential Recommendation
AAAI 2024
PMAC: Personalized Multi-Agent Communication
AAAI 2024
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition
AAAI 2024
PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields
AAAI 2024
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
AAAI 2024
Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition
AAAI 2024
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
NeurIPS 2024
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
NeurIPS 2024
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
AAAI 2024
Point Cloud Pre-training with Diffusion Models
CVPR 2024
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification
AAAI 2024
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis
AAAI 2024
PointMamba: A Simple State Space Model for Point Cloud Analysis
NeurIPS 2024