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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/acerkoo/warmupdistill

공식 코드

Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge Distillation

https://github.com/acmislab/pediabench

공식 코드

PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models

https://github.com/acrophase/sleep_staging_kd

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A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep staging

https://github.com/adagorgun/letkd-framework

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Knowledge Distillation Layer that Lets the Student Decide

https://github.com/adaptive-agents-lab/mdot-pncg

공식 코드

Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients

https://github.com/adaptive-intelligent-robotics/qdax

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Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

https://github.com/addisonwang2013/evdistill

공식 코드

EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation

https://github.com/adhyasuman/ctmkd

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Improving Neural Topic Models with Wasserstein Knowledge Distillation

https://github.com/adibaorz/flism

공식 코드

Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities

https://github.com/aditya-grover/climate-learn

공식 코드

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

https://github.com/adityac94/Grad_CAM_plus_plus

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Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

https://github.com/adityashahane10/gotham--graph-based-class-incremental-learning-framework-under-weak-supervision

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GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision

https://github.com/adlab-autodrive/ickd

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Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation

https://github.com/adlnlp/3mhealth

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3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection

https://github.com/adlnlp/3mvrd

공식 코드

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding

https://github.com/adnanmunir294/uavd-cbra

공식 코드

Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts

https://github.com/adpartin/cross-dataset-drp-paper

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Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis

https://github.com/adri-romsor/FitNets

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FitNets: Hints for Thin Deep Nets

https://github.com/adrianbzg/tinyroberta-distillation-qa-es

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Language Model Knowledge Distillation for Efficient Question Answering in Spanish

https://github.com/advanced-vision-and-learning-lab/sariad

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Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms

https://github.com/adverml/advopenood

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Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors

https://github.com/aemiliusretiarius/labcat

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LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions

https://github.com/aflah02/quench

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QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs

https://github.com/afrah/QCPINN

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QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs

https://github.com/afzalxo/accel-nasbench

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Accel-NASBench: Sustainable Benchmarking for Accelerator-Aware NAS

https://github.com/agi-inc/agisdk

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REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites

https://github.com/agi-inc/real

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REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites

https://github.com/agiresearch/asb

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Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

https://github.com/agiresearch/openagi

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OpenAGI: When LLM Meets Domain Experts

https://github.com/agiresearch/openp5

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OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

https://github.com/agroboticsresearch/sdm-d

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Learn from Foundation Model: Fruit Detection Model without Manual Annotation

https://github.com/ahjolsenbics/evanyseg

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Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images

https://github.com/ahmadmughees/sh17dataset

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SH17: A Dataset for Human Safety and Personal Protective Equipment Detection in Manufacturing Industry

https://github.com/ahmedest61/multires-netvlad

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MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery

https://github.com/ahmedmagdiosman/clevr-xai

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Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

https://github.com/ahmedmagdiosman/simply-clevr-dataset

공식 코드

Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

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