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Benchmarking

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코드

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

https://github.com/s3prl/s3prl

공식 코드

S3PRL-VC: Open-source Voice Conversion Framework with Self-supervised Speech Representations

https://github.com/saattrupdan/scandeval

공식 코드

ScandEval: A Benchmark for Scandinavian Natural Language Processing

https://github.com/sabagh1994/pgvae

공식 코드

Robust Model-Based Optimization for Challenging Fitness Landscapes

https://github.com/sadjadeb/exHarmony

공식 코드

exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem

https://github.com/saeed-anwar/ColorSurvey

공식 코드

Image Colorization: A Survey and Dataset

https://github.com/safolab-wisc/fiubench

공식 코드

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset

https://github.com/safolab-wisc/injecguard

공식 코드

InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models

https://github.com/sahibsin/DP_DeepLearning_Pneumonia

공식 코드

Benchmarking Differentially Private Residual Networks for Medical Imagery

https://github.com/sahoonihar/indibias

공식 코드

IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context

https://github.com/sail-sg/mmcbench

공식 코드

Benchmarking Large Multimodal Models against Common Corruptions

https://github.com/sail-sg/offbench

공식 코드

Improving and Benchmarking Offline Reinforcement Learning Algorithms

https://github.com/sailab-code/SAIFooler

공식 코드

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects

https://github.com/salah-zaiem/speechbrain-2

공식 코드

Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?

https://github.com/salesforce/bolaa

공식 코드

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

https://github.com/salesforce/lavis

공식 코드

LAVIS: A Library for Language-Vision Intelligence

https://github.com/salesforceairesearch/crmarena

공식 코드

CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions

https://github.com/salmank255/ROAD_Waymo_Baseline

공식 코드

ROAD-Waymo: Action Awareness at Scale for Autonomous Driving

https://github.com/samchevalier/dcattack

공식 코드

Identifying the Smallest Adversarial Load Perturbations that Render DC-OPF Infeasible

https://github.com/sameerkhanna786/cvueba

공식 코드

Using Color To Identify Insider Threats

https://github.com/samia067/crisp

공식 코드

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

https://github.com/samia067/shoerinsics

공식 코드

Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos

https://github.com/samjia2000/optimal-reasoning-efficiency

공식 코드

How Far Are We from Optimal Reasoning Efficiency?

https://github.com/samuelepapa/fit-a-nef

공식 코드

How to Train Neural Field Representations: A Comprehensive Study and Benchmark

https://github.com/sariyanidi/M3DFB

공식 코드

3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation

https://github.com/sarthaxxxxx/av-c-robustness-benchmark

공식 코드

$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time

https://github.com/sarwanpasha/adversarial_attack_on_biological_sequences

공식 코드

Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification

https://github.com/satgoy152/ling_llm

공식 코드

IOLBENCH: Benchmarking LLMs on Linguistic Reasoning

https://github.com/sbelharbi/sr-caco-2

공식 코드

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution

https://github.com/sbi-benchmark/sbibm

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Benchmarking Simulation-Based Inference

https://github.com/schaepermeier/moleopt

공식 코드

MOLE: Digging Tunnels Through Multimodal Multi-Objective Landscapes

https://github.com/schaepermeier/r2-revisited

공식 코드

Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

https://github.com/schmitt-muc/SEN12MS

공식 코드

Remote Sensing Image Classification with the SEN12MS Dataset

https://github.com/schneiderkamplab/syntheval

공식 코드

SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data

https://github.com/schuture/benchmarking-awesome-diffusion-models

공식 코드

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models

https://github.com/schuture/deeptumorvqa

공식 코드

Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering

https://github.com/sci-assess/sciassess

공식 코드

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

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