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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/hustCYQ/RAD-dataset

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RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection

https://github.com/huster-hq/psdnet

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First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network

https://github.com/hwanchang00/CoPriva

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Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering

https://github.com/hxyz-123/gomatching

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GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and Benchmarking

https://github.com/hyfshadow/ptbench

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Advancing and Benchmarking Personalized Tool Invocation for LLMs

https://github.com/hypatiaalegra/logicgame-data

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LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models

https://github.com/hyperparams-free/hyperparams-free-3D-losses

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Hyperparameter-Free Losses for Model-Based Monocular Reconstruction

https://github.com/hytn/docred-hwe

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Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction

https://github.com/hzxie/Stereo-3D-Reconstruction

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Toward 3D Object Reconstruction from Stereo Images

https://github.com/i-am-tobi/Capsule_Vision_Challenge_2024

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Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy

https://github.com/i-vesseg/multivesseg

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Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

https://github.com/i207m/pinnacle

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PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

https://github.com/iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network

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Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

https://github.com/iToBoS/Lesion-Detection-Challange

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The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection

https://github.com/ia-gu/benchmarking-of-query-strategies-towards-future-deep-active-learning

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Benchmarking of Query Strategies: Towards Future Deep Active Learning

https://github.com/iaar-shanghai/saferag

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SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model

https://github.com/iambic-therapeutics/np-bench

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NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models

https://github.com/ibm/adversarial-prompt-evaluation

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Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs

https://github.com/ibm/api-blend

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API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs

https://github.com/ibm/assetopsbench

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AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance

https://github.com/ibm/failuresensoriq

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FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes

https://github.com/ibm/swatgym

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A SWAT-based Reinforcement Learning Framework for Crop Management

https://github.com/ict-bigdatalab/rc-rag

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Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework

https://github.com/ict-bigdatalab/utility_judgments

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Are Large Language Models Good at Utility Judgments?

https://github.com/icu-sepsis/icu-sepsis

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ICU-Sepsis: A Benchmark MDP Built from Real Medical Data

https://github.com/idea-iitd/gnnmerge

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GNNMerge: Merging of GNN Models Without Accessing Training Data

https://github.com/idea-iitd/mirage

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Mirage: Model-Agnostic Graph Distillation for Graph Classification

https://github.com/idekerlab/llm_evaluation_for_gene_set_interpretation

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Evaluation of large language models for discovery of gene set function

https://github.com/idiap/sdialog

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SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis

https://github.com/idogalil/benchmarking-uncertainty-estimation-performance

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What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers

https://github.com/idt-iti/xai-video-summaries

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An Integrated Framework for Multi-Granular Explanation of Video Summarization

https://github.com/igor-morawski/raw-nod

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GenISP: Neural ISP for Low-Light Machine Cognition

https://github.com/iinemo/lm-polygraph

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Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

https://github.com/iis-esslingen/vi-slam_lc_benchmark

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Visual-Inertial SLAM for Unstructured Outdoor Environments: Benchmarking the Benefits and Computational Costs of Loop Closing

https://github.com/iiscleap/Audio-LLM-benchmarking-uncertainty

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Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning

https://github.com/ikeyang/ditu-net

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Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method

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