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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Papers (including subtopics)
Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning
AAAI 2025
Personalized Learning in Action: Exploring AI and Robotics for Early Childhood Education
AAAI 2025
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language
AAAI 2025
Personalized LLM Decoding via Contrasting Personal Preference
EMNLP 2025
Personalized Preference Fine-tuning of Diffusion Models
CVPR 2025
Personalized Representation from Personalized Generation
ICLR 2025
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
AAAI 2025
Personalized Text Generation with Contrastive Activation Steering
ACL 2025
Personalized Visual Instruction Tuning
ICLR 2025
Personalize Your LLM: Fake it then Align it
NAACL 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
Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
NAACL 2025
PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins
ACL 2025
PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence
ACL 2025
Person De-reidentification: A Variation-guided Identity Shift Modeling
CVPR 2025
Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation
ICCV 2025
Perspective: Leveraging Domain Knowledge for Tabular Machine Learning in the Medical Domain
ACL 2025
PerspectiveMod: A Perspectivist Resource for Deliberative Moderation
EMNLP 2025
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization
ACL 2025
Perturbation-Restrained Sequential Model Editing
ICLR 2025
PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
ICLR 2025
PetEVAL: A veterinary free text electronic health records benchmark
ACL 2025
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
AAAI 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
AAAI 2025