Papers with Code 아카이브

Data-free Knowledge Distillation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/opendatalab/mllm-dataengine

공식 코드

MLLM-DataEngine: An Iterative Refinement Approach for MLLM

https://github.com/opendataval/opendataval

공식 코드

OpenDataVal: a Unified Benchmark for Data Valuation

https://github.com/opendenoising/benchmark

공식 코드

OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers

https://github.com/openearthlab/predbench

공식 코드

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines

https://github.com/openforcefield/FE-Benchmarks-Best-Practices

공식 코드

Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks

https://github.com/openforcefield/protein-ligand-benchmark

공식 코드

Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks

https://github.com/openlka/openlka

공식 코드

OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving Conditions

https://github.com/openml/OpenML

공식 코드

OpenML Benchmarking Suites

https://github.com/openml/benchmark-suites

공식 코드

OpenML Benchmarking Suites

https://github.com/opennlplab/tavgbench

공식 코드

TAVGBench: Benchmarking Text to Audible-Video Generation

https://github.com/openxrlab/xrdslam

공식 코드

XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM

https://github.com/openxrlab/xrfeitoria

공식 코드

SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation

https://github.com/opipari/clearpose

공식 코드

ClearPose: Large-scale Transparent Object Dataset and Benchmark

https://github.com/oppo-mente-lab/facescore

공식 코드

FaceScore: Benchmarking and Enhancing Face Quality in Human Generation

https://github.com/optimai-lab/memory_efficient_pretraining

공식 코드

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking

https://github.com/optml-group/diffusion-mu-attack

공식 코드

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now

https://github.com/orashi/AlacGAN

공식 코드

User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks

https://github.com/orion-ai-lab/efficientbigearthnet

공식 코드

Benchmarking and scaling of deep learning models for land cover image classification

https://github.com/orion-ai-lab/wildfirespread

공식 코드

Wildfire spread forecasting with Deep Learning

https://github.com/oskoller/sign-language-state-of-the-art

공식 코드

Quantitative Survey of the State of the Art in Sign Language Recognition

https://github.com/oss-bench/oss-bench

공식 코드

OSS-Bench: Benchmark Generator for Coding LLMs

https://github.com/osu-nlp-group/redteamcua

공식 코드

RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments

https://github.com/osvai/ssd-kd

공식 코드

Small Scale Data-Free Knowledge Distillation

https://github.com/otroshi/synthdistill

공식 코드

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data

https://github.com/owkin/hte

공식 코드

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials

https://github.com/oxai/visogender

공식 코드

VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution

https://github.com/oxwhirl/pymarl

공식 코드

The StarCraft Multi-Agent Challenge

https://github.com/oxwhirl/smac

공식 코드

The StarCraft Multi-Agent Challenge

https://github.com/pair-code/interpretability

공식 코드

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models

https://github.com/palaashagrawal/llmgraphtraversal

공식 코드

Can LLMs perform structured graph reasoning?

https://github.com/palash1992/GEM-Benchmark

공식 코드

Benchmarks for Graph Embedding Evaluation

https://github.com/palin2018/browsecomp-zh

공식 코드

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese

https://github.com/panliangrui/nips2025

공식 코드

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset

https://github.com/paplhjak/facial-age-estimation-benchmark

공식 코드

A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark

https://github.com/parham-ap/cytology_dataset

공식 코드

A New Cervical Cytology Dataset for Nucleus Detection and Image Classification (Cervix93) and Methods for Cervical Nucleus Detection

https://github.com/patientzero/timage-icann2019

공식 코드

Timage -- A Robust Time Series Classification Pipeline

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.