https://github.com/ennengyang/awesome-forgetting-in-deep-learning
공식 코드A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Privacy-Preserving Classification with Secret Vector Machines
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
Permutation Invariant Graph Generation via Score-Based Generative Modeling
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edge
Learning Bottleneck Transformer for Event Image-Voxel Feature Fusion based Classification
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
VcT: Visual change Transformer for Remote Sensing Image Change Detection
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
Learning to Simulate Aerosol Dynamics with Graph Neural Networks
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
BANGS: Game-Theoretic Node Selection for Graph Self-Training
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
Spatial Commonsense Graph for Object Localisation in Partial Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.