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Knowledge Distillation

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하위 태스크: 2
평가표: 11
보존된 평가 기록: 90

Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/EpistasisLab/pmlbr

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PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

https://github.com/EpistasisLab/regression-benchmark

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Where are we now? A large benchmark study of recent symbolic regression methods

https://github.com/EpistasisLab/scikit-rebate

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Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining

https://github.com/EpistasisLab/srbench

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Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/EriCongMa/MTKD_TIMT

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Multi-Teacher Knowledge Distillation For Text Image Machine Translation

https://github.com/EricZsy/BalancedKnowledgeDistillation

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Balanced Knowledge Distillation for Long-tailed Learning

https://github.com/EthanZhangYC/OD-cheap-convolution

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Training convolutional neural networks with cheap convolutions and online distillation

https://github.com/EvalCrafter/EvalCrafter

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EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

https://github.com/FLHonker/AMTML-KD-code

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Adaptive Multi-Teacher Multi-level Knowledge Distillation

https://github.com/FLHonker/Awesome-Knowledge-Distillation

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Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

https://github.com/FairMedFM/FairMedFM

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FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models

https://github.com/FannierPeng/SgVA-CLIP

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SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification

https://github.com/FatimaEzzedinee/Knowledge-Distillation-Based-Model-Extraction-Attack-using-GAN-based-Private-CFs

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Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations

https://github.com/Featurespace/uncertainty-attribution

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Attribution of Predictive Uncertainties in Classification Models

https://github.com/FedML-AI/FedML/tree/master/fedml_experiments/distributed/fedgkt

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Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

https://github.com/FedML-AI/FedML/tree/master/python/fedml/core/security

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FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs

https://github.com/FederatedML/FedCompress

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Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation

https://github.com/FengHZ/KD3A

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KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation

https://github.com/FlagOpen/FlagEmbedding/tree/master/MLVU

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MLVU: Benchmarking Multi-task Long Video Understanding

https://github.com/Franek18/ExKLoP

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Integrating Expert Knowledge into Logical Programs via LLMs

https://github.com/Frank-Wang-oss/GNN_RUL_Benchmarking

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A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends

https://github.com/FreedomIntelligence/IOR-Bench

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Large Language Models for Outpatient Referral: Problem Definition, Benchmarking and Challenges

https://github.com/Fsoft-AIC/LibMoE

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LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models

https://github.com/GMC-DRL/MetaBox

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MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning

https://github.com/GT-RIPL/DistillMatch-SSCL

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Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer

https://github.com/GeneZC/ASGCN

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Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

https://github.com/GirinChutia/Misahub-Capsule-Vision-2024-Solution-eAI

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Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy

https://github.com/Goldenhorns/FANFOLD

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FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection

https://github.com/GoodAI/goodai-ltm-benchmark

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Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models

https://github.com/Gorilla-Lab-SCUT/AffordanceNet

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3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding

https://github.com/Gorilla-Lab-SCUT/TTAC2

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Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training

https://github.com/GradOpt/E3

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Efficient and Effective Model Extraction

https://github.com/Grenzlinie/MatTools

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MatTools: Benchmarking Large Language Models for Materials Science Tools

https://github.com/Grey-z/FairAgent

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Enhancing New-item Fairness in Dynamic Recommender Systems

https://github.com/Gumpest/AvatarKD

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Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty

https://github.com/Gumpest/FreeKD

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FreeKD: Knowledge Distillation via Semantic Frequency Prompt

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