Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
ICLR 2025
Features are fate: a theory of transfer learning in high-dimensional regression
ICML 2025
Feature Selection for Latent Factor Models
CVPR 2025
Feature Shift Localization Network
ICML 2025
Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation
WACV 2025
Feature Spectrum Learning for Remote Sensing Change Detection
CVPR 2025
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning
NAACL 2025
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
AAAI 2025
FEAT-writing: An Interactive Training System for Argumentative Writing
COLING 2025
FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation
ICCV 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
AAAI 2025
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction
ICCV 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
IJCAI 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
CVPR 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
ICML 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
IJCAI 2025
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
CVPR 2025
FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning
CVPR 2025
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity
IJCAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
AAAI 2025
FeDCM: Federated Learning of Deep Causal Generative Models
UAI 2025
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
EMNLP 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation
IJCAI 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games
AAAI 2025
FedCS: Coreset Selection for Federated Learning
CVPR 2025