Sprinter1999
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✨ Inspiration
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
PyCIL: A Python Toolbox for Class-Incremental Learning
📦 Collect some Asynchronous Federated Learning papers.
[ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution
[NeurIPS 2022] GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enri…
A curated list of awesome papers on dataset distillation and related applications.
A curated list of trustworthy deep learning papers. Daily updating...
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Existing Literature about Machine Unlearning
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustai…
Awesome Machine Unlearning (A Survey of Machine Unlearning)
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Reproducing "Can Recurrent Neural Networks Warp Time?"
[ICML 2023] "Exploring Model Dynamics for Accumulative Poisoning Discovery"
在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据，内容描述，社交信息，知识图谱等。在OneRec，每种信息和整体算法的集成是可插拔…
Dataset Condensation (ICLR21 and ICML21)
KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Transformer model for structure-agnostic metal-organic frameworks (MOF) property prediction
(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection