Papers with Code 아카이브

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/Microsoft/Graphormer

공식 코드

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

https://github.com/Mohit-Mithra/Face-Recognition-Systems-with-lip-movement-pattern

공식 코드

AuthNet: A Deep Learning based Authentication Mechanism using Temporal Facial Feature Movements

https://github.com/MorenoLaQuatra/ARCH

공식 코드

Benchmarking Representations for Speech, Music, and Acoustic Events

https://github.com/NASA-IMPACT/Prithvi-EO-2.0

공식 코드

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications

https://github.com/NREL/OPFLearn.jl

공식 코드

OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets

https://github.com/NUST-Machine-Intelligence-Laboratory/weblyFG-dataset

공식 코드

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach

https://github.com/NVIDIA/DeepLearningExamples

공식 코드

A Framework for Large Scale Synthetic Graph Dataset Generation

https://github.com/NVIDIA/DeepLearningExamples/tree/master/Tools/PyTorch/TimeSeriesPredictionPlatform

공식 코드

TSPP: A Unified Benchmarking Tool for Time-series Forecasting

https://github.com/NanmanasLin/Application-of-natural-language-processing-for-finding-semantic-relation-of-elusive-natural-resource

공식 코드

Geological Inference from Textual Data using Word Embeddings

https://github.com/NathanDoumeche/WeaKL

공식 코드

Forecasting time series with constraints

https://github.com/Natural-Language-Processing-Elm/open_universal_arabic_asr_leaderboard

공식 코드

Open Universal Arabic ASR Leaderboard

https://github.com/NeosKnight233/FaMSS

공식 코드

Selected Languages are All You Need for Cross-lingual Truthfulness Transfer

https://github.com/NickDiSanto/Twitter2030/tree/main/Beta

공식 코드

Transcending the Attention Paradigm: Representation Learning from Geospatial Social Media Data

https://github.com/NiklasTR/oncoassign

공식 코드

A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data

https://github.com/NoviScl/AdvRACE

공식 코드

Benchmarking Robustness of Machine Reading Comprehension Models

https://github.com/OneClickDeepLearning/classificationOfResidentialRequests

공식 코드

Hybrid Machine Learning Models of Classifying Residential Requests for Smart Dispatching

https://github.com/OpenBioLink/ITO

공식 코드

A global analysis of metrics used for measuring performance in natural language processing

https://github.com/OpenBioLink/OpenBioLink

공식 코드

OpenBioLink: A benchmarking framework for large-scale biomedical link prediction

https://github.com/OptMLGroup/SQN

공식 코드

Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample

https://github.com/Optimization-AI/LibAUC

공식 코드

LibAUC: A Deep Learning Library for X-Risk Optimization

https://github.com/P2333/Bag-of-Tricks-for-AT

공식 코드

Bag of Tricks for Adversarial Training

https://github.com/PGijsbers/gama

공식 코드

GAMA: a General Automated Machine learning Assistant

https://github.com/PJLallen/D2GPLand

공식 코드

Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

https://github.com/PMSchulze/NLP-benchmarking

공식 코드

Benchmarking down-scaled (not so large) pre-trained language models

https://github.com/PSCLab-ASU/OpenICS

공식 코드

OpenICS: Open Image Compressive Sensing Toolbox and Benchmark

https://github.com/PV-Lab/Benchmarking

공식 코드

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains

https://github.com/PV-Lab/SL-PerovskiteOpt

공식 코드

Machine Learning with Knowledge Constraints for Process Optimization of Open-Air Perovskite Solar Cell Manufacturing

https://github.com/Pascalson/DyKGChat

공식 코드

DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

https://github.com/PatrykChrabaszcz/Canonical_ES_Atari

공식 코드

Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari

https://github.com/Pearl-UTexas/DUST-net

공식 코드

Distributional Depth-Based Estimation of Object Articulation Models

https://github.com/Pearl-UTexas/ScrewNet

공식 코드

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory

https://github.com/PengchaoHan/RDSKD

공식 코드

Robustness and Diversity Seeking Data-Free Knowledge Distillation

https://github.com/PhilJd/freiburg_groceries_dataset

공식 코드

The Freiburg Groceries Dataset

https://github.com/PhilippPro/tunability

공식 코드

Tunability: Importance of Hyperparameters of Machine Learning Algorithms

https://github.com/Prasoon1207/llm-science-miscommunication

공식 코드

Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators

https://github.com/Precision-Medical-Imaging-Group/BraTS2024-PEDS

공식 코드

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.