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Knowledge Distillation

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하위 태스크: 2
평가표: 11
보존된 평가 기록: 90

Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.

코드

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

https://github.com/hustCYQ/RAD-dataset

공식 코드

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

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

공식 코드

Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

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/hutaihang/faster-diffusion

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Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference

https://github.com/huyquoctrinh/kdas

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KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation

https://github.com/huyquoctrinh/kdas3

공식 코드

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation

https://github.com/hw-du/emkd

공식 코드

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation

https://github.com/hwanchang00/CoPriva

공식 코드

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

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

공식 코드

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

https://github.com/hy5468/TransLLM

공식 코드

Why Not Transform Chat Large Language Models to Non-English?

https://github.com/hyeon-jo/interchange-transfer-kd

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itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection

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/hyperconnect/g2r

공식 코드

Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation

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

공식 코드

Hyperparameter-Free Losses for Model-Based Monocular Reconstruction

https://github.com/hysonlab/pointdistill

공식 코드

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing

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

공식 코드

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/hzzone/pseco

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Point, Segment and Count: A Generalized Framework for Object Counting

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/i2-multimedia-lab/dsmix

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DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment

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/iamkanghyunchoi/ait

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It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

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/afdistill

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AlphaFold Distillation for Protein Design

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/kgi-slot-filling

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Re2G: Retrieve, Rerank, Generate

https://github.com/ibm/swatgym

공식 코드

A SWAT-based Reinforcement Learning Framework for Crop Management

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