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)
PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
ACL 2025
PersonaBooth: Personalized Text-to-Motion Generation
CVPR 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment
ACL 2025
Personality Vector: Modulating Personality of Large Language Models by Model Merging
EMNLP 2025
Personalized Clustering via Targeted Representation Learning
AAAI 2025
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
AAAI 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
AAAI 2025
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
AAAI 2025
Personalized Fine-Tuning with Controllable Synthetic Speech from LLM-Generated Transcripts for Dysarthric Speech Recognition
Interspeech 2025
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
AAAI 2025
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language
AAAI 2025
Personalized Preference Fine-tuning of Diffusion Models
CVPR 2025
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
AAAI 2025
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
AISTATS 2025
Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning
ACL 2025
Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
ACL 2025
Person De-reidentification: A Variation-guided Identity Shift Modeling
CVPR 2025
Perspective: Leveraging Domain Knowledge for Tabular Machine Learning in the Medical Domain
ACL 2025
Persuasion Dynamics in LLMs: Investigating Robustness and Adaptability in Knowledge and Safety with DuET-PD
EMNLP 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
ACL 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning
AAAI 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
AAAI 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models
EMNLP 2025
Phaedrus at BEA 2025 Shared Task: Assessment of Mathematical Tutoring Dialogues through Tutor Identity Classification and Actionability Evaluation
ACL 2025
PHATNet: A Physics-guided Haze Transfer Network for Domain-adaptive Real-world Image Dehazing
ICCV 2025