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Data-free Knowledge Distillation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/IOHprofiler/IOHAnalyzer

공식 코드

IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics

https://github.com/IOHprofiler/IOHalgorithm

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Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler

https://github.com/IRVLUTD/SceneReplica

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SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes

https://github.com/IllusoryVQA/IllusoryVQA

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Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual Illusions

https://github.com/JHU-CLSP/AnaloBench

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AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies

https://github.com/JHU-CLSP/CLAIMCHECK

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CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?

https://github.com/JHU-CLSP/NeoCoder

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Benchmarking Language Model Creativity: A Case Study on Code Generation

https://github.com/Javiery3889/AttackSeqBench

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AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber Attacks

https://github.com/JeanKaddour/WASAM

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When Do Flat Minima Optimizers Work?

https://github.com/Jingkang50/OpenPSG

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Panoptic Scene Graph Generation

https://github.com/Jingyu6/speculative_prefill

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Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

https://github.com/Joe-Hall-Lee/PSN-IRT

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Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory

https://github.com/JunlinHan/CWR

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Underwater Image Restoration via Contrastive Learning and a Real-world Dataset

https://github.com/KULeuven-MICAS/zigzag-imc

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Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling

https://github.com/KV-Park/PINT

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PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data

https://github.com/KaiyangZhou/deep-person-reid

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Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

https://github.com/Kami-code/dexart-release

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DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

https://github.com/Kinds-of-Intelligence-CFI/PredictaBoard

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PredictaBoard: Benchmarking LLM Score Predictability

https://github.com/KitwareMedical/habet

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Harmonization Benchmarking Tool for Neuroimaging Datasets

https://github.com/Klodivio355/MTL-CV-Review

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When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review

https://github.com/LauraMartinus/ukuxhumana

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Benchmarking Neural Machine Translation for Southern African Languages

https://github.com/Leolty/repobench

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RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

https://github.com/LibertFan/AI_Hospital

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AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator

https://github.com/Linking-ai/ctm_bench

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Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties

https://github.com/Liyue-Chen/STCFP_CONTEXT

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Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark

https://github.com/LorenzoBini4/FlowCyt-Classification-Benchmark

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FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking

https://github.com/LuciusLan/Visual-RAG

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Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries

https://github.com/MECLabTUDA/NCAdapt

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NCAdapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation

https://github.com/MIC-DKFZ/nnunet

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nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

https://github.com/MIMUW-RL/Unified-Long-Horizon-Time-Series-Benchmark

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Unified Long-Term Time-Series Forecasting Benchmark

https://github.com/MLforHealth/CausalDA

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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing

https://github.com/MSiam/TFSegmentation

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RTSeg: Real-time Semantic Segmentation Comparative Study

https://github.com/Maddy12/UnderstandingVisualTextModels

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Probing Conceptual Understanding of Large Visual-Language Models

https://github.com/Madjid-CH/auto-mixer

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MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning

https://github.com/ManifoldRG/MultiNet

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Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks

https://github.com/MichiganCOG/ViP

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ViP: Video Platform for PyTorch

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