Papers with Code 아카이브

Data-free Knowledge Distillation

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전체 기법 전체 데이터셋

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/zalandoresearch/fashion-mnist

공식 코드

Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

https://github.com/zayenz/cp-2019-nmbr9

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Nmbr9 as a Constraint Programming Challenge

https://github.com/zeinabtaghavi/impliret

공식 코드

ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge

https://github.com/zerowst/chatcoach

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Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset

https://github.com/zezhishao/basicts

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Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

https://github.com/zhanglab-deepneurocoglab/csegg

공식 코드

Adaptive Visual Scene Understanding: Incremental Scene Graph Generation

https://github.com/zhanglab-deepneurocoglab/worm

공식 코드

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory

https://github.com/zhanglin-pku/fedftg

공식 코드

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

https://github.com/zhangsn-19/pan

공식 코드

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks

https://github.com/zhangzjn/ader

공식 코드

A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

https://github.com/zhao-ht/biomaze

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BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning

https://github.com/zhao-zy15/pmc-patients

공식 코드

PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems

https://github.com/zhaoshan2/earthextreme-bench

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ExEBench: Benchmarking Foundation Models on Extreme Earth Events

https://github.com/zhaowei-wang-nlp/divscene

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DivScene: Benchmarking LVLMs for Object Navigation with Diverse Scenes and Objects

https://github.com/zhaoyu-li/g4satbench

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G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks

https://github.com/zhchen18/tombench

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ToMBench: Benchmarking Theory of Mind in Large Language Models

https://github.com/zhehengluoK/eval_empec

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Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams

https://github.com/zhengli97/dm-kd

공식 코드

Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?

https://github.com/zhengyuan-jiang/videomarkbench

공식 코드

VideoMarkBench: Benchmarking Robustness of Video Watermarking

https://github.com/zhenwen-nlp/mathchat

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MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions

https://github.com/zhenzhiwang/humanvid

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HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

https://github.com/zhichaoxu-shufe/rankmamba

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RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of Transformers

https://github.com/zhichengg/stabletoolbench

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StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models

https://github.com/zhiqiangzhongddu/llmamol

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Benchmarking Large Language Models for Molecule Prediction Tasks

https://github.com/zhiqic/keyposs

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KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration

https://github.com/zhonghuayi/optical_flow_robustness_benchmark

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Benchmarking the Robustness of Optical Flow Estimation to Corruptions

https://github.com/zhongtiand/eqnn

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$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

https://github.com/zhou-hangyu/allclear

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AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery

https://github.com/zhou-zoey/rmb-reward-model-benchmark

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RMB: Comprehensively Benchmarking Reward Models in LLM Alignment

https://github.com/zhourobotics/llm-mrs-survey

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Large Language Models for Multi-Robot Systems: A Survey

https://github.com/zhoutianxun/data_free_kd_regression

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Synthetic data generation method for data-free knowledge distillation in regression neural networks

https://github.com/zhouweixiao/KGDS

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What are they talking about? Benchmarking Large Language Models for Knowledge-Grounded Discussion Summarization

https://github.com/zhouxian/FluidLab

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FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation

https://github.com/zhouzhengqd/beard

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BEARD: Benchmarking the Adversarial Robustness for Dataset Distillation

https://github.com/zhuangdizhu/FedGen

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Data-Free Knowledge Distillation for Heterogeneous Federated Learning

https://github.com/zhudelong/elevator_button_recognition

공식 코드

A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition

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