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Data-free Knowledge Distillation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/misahub2023/capsule-vision-2024-challenge
공식 코드Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
https://github.com/mismayil/crow
공식 코드CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
https://github.com/mit-wu-lab/IntersectionZoo
공식 코드IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
https://github.com/mitibmxgraph/revtrack
공식 코드https://github.com/mitmedialab/medical_hallucination
공식 코드Medical Hallucinations in Foundation Models and Their Impact on Healthcare
https://github.com/mitvis/abstraction-alignment
공식 코드Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships
https://github.com/mkallipo/affiliation-matching
공식 코드https://github.com/mkartik/Shallow-UWnet
공식 코드Shallow-UWnet : Compressed Model for Underwater Image Enhancement
https://github.com/ml-energy/leaderboard
공식 코드The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization
https://github.com/mlai-yonsei/exceptionalbenchmark
공식 코드Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation
https://github.com/mlcommons/algorithmic-efficiency
공식 코드https://github.com/mlcommons/ck
공식 코드https://github.com/mlcommons/cm4mlops
공식 코드https://github.com/mlcommons/medical
공식 코드MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
https://github.com/mlcommons/tiny
공식 코드https://github.com/mlfoundations/tableshift
공식 코드Benchmarking Distribution Shift in Tabular Data with TableShift
https://github.com/mllmkcbench/mllmkc
공식 코드Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
https://github.com/mlperf/training
공식 코드https://github.com/mlr-org/mlr3inferr
공식 코드Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study
https://github.com/mlsysops/migprofiler
공식 코드https://github.com/mludkov/mlOSP
공식 코드mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms
https://github.com/mm4spa/eigd
공식 코드A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games
https://github.com/mmajurski/grounded-synth-lm-benchmark
공식 코드Grounding Synthetic Data Evaluations of Language Models in Unsupervised Document Corpora
https://github.com/mmdocrag/mmdocrag
공식 코드Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
https://github.com/mmlab-unitn/truefake-ijcnn25
공식 코드TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
https://github.com/mmschlk/shapiq
공식 코드https://github.com/mmtu-benchmark/mmtu
공식 코드MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
https://github.com/model-glue/model-glue
공식 코드Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
https://github.com/modeltc/llmc
공식 코드LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
https://github.com/moeinsorkhei/csaw-m_annotation_tool
공식 코드CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
https://github.com/mohamedelrefaie/drivaernet
공식 코드https://github.com/mohammadrezabanaei/lora-xs
공식 코드LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
https://github.com/molden/atomlenz
공식 코드Atom-Level Optical Chemical Structure Recognition with Limited Supervision
https://github.com/molecularmodelinglab/bigbind
공식 코드An Improved Metric and Benchmark for Assessing the Performance of Virtual Screening Models
https://github.com/molecularmodelinglab/plantain
공식 코드PLANTAIN: Diffusion-inspired Pose Score Minimization for Fast and Accurate Molecular Docking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.