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
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Papers (including subtopics)
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
AAAI 2026
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
WACV 2026
FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification
AAAI 2026
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
AAAI 2026
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
AAAI 2026
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting
AAAI 2026
FedSST: Rethinking Fair Federated Graph Learning under Structural Shift
CVPR 2026
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
UAI 2026
FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions
AAAI 2026
Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning
WACV 2026
Feedback-Aware Prompt Optimization Framework for Generating Job Postings
EACL 2026
Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation
ACL 2026
FER at SemEval-2026 Task 6: Analysis of Different Approaches to Unmasking Political Question Evasions
SemEval 2026
FeTS: A Feature-Aware Framework for Time Series Forecasting
AAAI 2026
Few-for-Many Personalized Federated Learning
CVPR 2026
FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation
AAAI 2026
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
AAAI 2026
FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning
AAAI 2026
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
AAAI 2026
FiMMIA: scaling semantic perturbation-based membership inference across modalities
EACL 2026
FIND: A Simple Yet Effective Baseline for Diffusion-Generated Image Detection
AAAI 2026
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
UAI 2026
Finding Time Series Anomalies Using Granular-Ball Vector Data Description
AAAI 2026
FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation
AAAI 2026
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
AAAI 2026