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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/hawlyq/infometic

공식 코드

InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation

https://github.com/hayatkhan8660-maker/DVFL-Net

공식 코드

DVFL-Net: A Lightweight Distilled Video Focal Modulation Network for Spatio-Temporal Action Recognition

https://github.com/hbp-unibi/SNABSuite

공식 코드

Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware

https://github.com/hc-guo/sns-bench-vl

공식 코드

SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services

https://github.com/hcmus-thesis-gulu/context-aware-summarization

공식 코드

Enhancing Video Summarization with Context Awareness

https://github.com/he-tiantian/cats

공식 코드

Learning Conjoint Attentions for Graph Neural Nets

https://github.com/heal-research/operon

공식 코드

Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/healthml/active-segmentation

공식 코드

Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

https://github.com/healthx-lab/deepsegthoracic

공식 코드

Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation

https://github.com/heathcliff-saku/viewfool_

공식 코드

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints

https://github.com/heaventian93/ImageNet-Models-on-Domain-Adaptation

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Impact of ImageNet Model Selection on Domain Adaptation

https://github.com/heidelberg-nlp/ancient-language-models

공식 코드

Exploring Large Language Models for Classical Philology

https://github.com/heidelberg-nlp/cc-shap-vlm

공식 코드

Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?

https://github.com/hellohaptik/HINT3

공식 코드

HINT3: Raising the bar for Intent Detection in the Wild

https://github.com/helloworldlty/muse-gnn

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MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data

https://github.com/hellwigm/RotatedKleeMintyProblem

공식 코드

A Linear Constrained Optimization Benchmark For Probabilistic Search Algorithms: The Rotated Klee-Minty Problem

https://github.com/helme/ecg_ptbxl_benchmarking

공식 코드

Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

https://github.com/helmholtz-ai-energy/oialr

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Harnessing Orthogonality to Train Low-Rank Neural Networks

https://github.com/hendrycks/robustness

공식 코드

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

https://github.com/hewlettpackard/dc-rl

공식 코드

SustainDC: Benchmarking for Sustainable Data Center Control

https://github.com/hexuandeng/newterm

공식 코드

NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates

https://github.com/hhi-aml/histobenchmark

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From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology

https://github.com/hi-archers/mlake

공식 코드

MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models

https://github.com/hicai-zju/sciknoweval

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SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models

https://github.com/hiest/distmis

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Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

https://github.com/hikari-NYU/Emoji_Prediction_Datasets_MMS

공식 코드

Emoji Prediction: Extensions and Benchmarking

https://github.com/hisaolabsustc/benchss

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Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

https://github.com/hit-sirs/crobim

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Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation

https://github.com/hitum-dev/pollmgraph

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PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics

https://github.com/hiyouga/llama-factory

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CodeS: Natural Language to Code Repository via Multi-Layer Sketch

https://github.com/hiyuchang/leadq

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Learn How to Query from Unlabeled Data Streams in Federated Learning

https://github.com/hj-n/labeled-datasets

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Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures

https://github.com/hjytsuki/mldebugging

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MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios

https://github.com/hku-system-security-lab/congra

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CONGRA: Benchmarking Automatic Conflict Resolution

https://github.com/hkust-knowcomp/abspyramid

공식 코드

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph

https://github.com/hkust-knowcomp/cskb-population

공식 코드

Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset

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