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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Feature Transportation Improves Graph Neural Networks AAAI 2024 FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NeurIPS 2024 Federated Generalized Category Discovery CVPR 2024 Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 Federated Multi-View Clustering via Tensor Factorization IJCAI 2024 FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction NeurIPS 2024 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering ICML 2024 FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024 FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning ECCV 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 Feedback control guides credit assignment in recurrent neural networks NeurIPS 2024 Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms JMLR 2024 Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024 Few-Shot Detection of Machine-Generated Text using Style Representations ICLR 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality NeurIPS 2024 Few-Shot Keyword-Incremental Learning with Total Calibration Interspeech 2024 Few-Shot Learning for Cold-Start Recommendation COLING 2024 Few-Shot Relation Extraction with Hybrid Visual Evidence COLING 2024 Few-Shot Task Learning through Inverse Generative Modeling NeurIPS 2024 FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors NeurIPS 2024