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Data-free Knowledge Distillation

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하위 태스크: 1
평가표: 2
보존된 평가 기록: 8

코드

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

https://github.com/Diamondfan/SPAPL_KidsASR

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Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models

https://github.com/DixonCider/TCRI-Benchmark

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Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models

https://github.com/Don767/segdet_mlcr2024

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Replication Study and Benchmarking of Real-Time Object Detection Models

https://github.com/Dreamyao516/DialogueLLM

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DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations

https://github.com/DrenFazlija/AccessDeniedInc

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ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness

https://github.com/Duplums/bhb10k-dl-benchmark

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Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning

https://github.com/Dynamics-of-Neural-Systems-Lab/MARBLE

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Interpretable statistical representations of neural population dynamics and geometry

https://github.com/EPFL-VILAB/3DCommonCorruptions

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3D Common Corruptions and Data Augmentation

https://github.com/ETH-DISCO/Benchmarking-PEs

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Benchmarking Positional Encodings for GNNs and Graph Transformers

https://github.com/Eaphan/Robust3DOD

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A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks

https://github.com/Earth-Intelligence-Lab/vleo-bench

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Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

https://github.com/EasyFL-AI/EasyFL/tree/master/applications/fedreid

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Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

https://github.com/EdisonLeeeee/GraphGallery

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GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

https://github.com/EduardoTrevino/fail-talms

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Benchmarking Failures in Tool-Augmented Language Models

https://github.com/Emma926/paradnn

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Benchmarking TPU, GPU, and CPU Platforms for Deep Learning

https://github.com/EpistasisLab/ReBATE

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Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining

https://github.com/EpistasisLab/digen

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Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers

https://github.com/EpistasisLab/penn-ml-benchmarks

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PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

https://github.com/EpistasisLab/pmlb

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

https://github.com/EpistasisLab/pmlb-manuscript

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

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/EvalCrafter/EvalCrafter

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EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

https://github.com/FairMedFM/FairMedFM

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FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models

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/python/fedml/core/security

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

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/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

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