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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/eason-li-ais/drafterbench

공식 코드

DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

https://github.com/ebalti/Low-Complexity-Hybrid-Beamforming-For-MmWave-Full-Duplex-Integrated-Access-And-Backhaul

공식 코드

Low Complexity Hybrid Beamforming for mmWave Full-Duplex Integrated Access and Backhaul

https://github.com/eceo-epfl/coralscapesScripts

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The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs

https://github.com/ecker-lab/object-centric-representation-benchmark

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Benchmarking Unsupervised Object Representations for Video Sequences

https://github.com/ecker-lab/sensorium_2023

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Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

https://github.com/eclipsess/awesome-efficient-reasoning-llms

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Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

https://github.com/ecnu-text-computing/knowledge-editing-benchmark

공식 코드

Benchmarking and Rethinking Knowledge Editing for Large Language Models

https://github.com/eddardd/tep-domain-adaptation

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Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process

https://github.com/eden500/Noisy-Labels-Instance-Segmentation

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Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters

https://github.com/edinburghnlp/aces

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Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets

https://github.com/edinburghnlp/mmlongbench

공식 코드

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly

https://github.com/edisonleeeee/lrgae

공식 코드

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective

https://github.com/edwardyu/soft-evidence-bnn

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Bayesian Neural Networks with Soft Evidence

https://github.com/efeslab/consumerbench

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ConsumerBench: Benchmarking Generative AI Applications on End-User Devices

https://github.com/efficienttraining/labelbench

공식 코드

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

https://github.com/ehsansaleh/btspinn

공식 코드

Learning from Integral Losses in Physics Informed Neural Networks

https://github.com/ej0cl6/textee

공식 코드

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction

https://github.com/elcronos/Defense-Friendly

공식 코드

Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty

https://github.com/elenamer/noisebench

공식 코드

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition

https://github.com/eleonorapoeta/benchmarking-kan

공식 코드

A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data

https://github.com/elgazzarr/fmri-gnns

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Benchmarking Graph Neural Networks for FMRI analysis

https://github.com/elgazzarr/fmri-s4

공식 코드

fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models

https://github.com/eliasbenussi/nn-cert-individual-fairness

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Individual Fairness Guarantees for Neural Networks

https://github.com/elki-project/elki

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ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

https://github.com/elliottyan/gpt_versus_mt_experts

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Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels

https://github.com/elseviersoftwarex/softx-d-22-00288

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A framework for benchmarking clustering algorithms

https://github.com/elvishelvis/lca-on-the-line

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LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies

https://github.com/elwer/perf_dd

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Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis

https://github.com/emadeldeen24/adatime

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ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data

https://github.com/emanuelevivoli/cdf

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Comics Datasets Framework: Mix of Comics datasets for detection benchmarking

https://github.com/emb-ai/rclicks

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RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation

https://github.com/embeddings-benchmark/mteb

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MTEB: Massive Text Embedding Benchmark

https://github.com/embodied-agent-eval/embodied-agent-eval

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Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

https://github.com/embodied-agent-eval/embodied-agent-eval.github.io

공식 코드

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

https://github.com/embodied-agent-interface/embodied-agent-interface

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Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

https://github.com/emcarrami/pika

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PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models

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