Papers with Code 아카이브

Open-Ended Question Answering

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

코드

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

https://github.com/espectre/GCNs_on_imbalanced_datasets

Learning to Cluster Faces on an Affinity Graph

https://github.com/fatLime/Predict-Lung-Disease

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/fmu2/PyTorch-MAML

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

https://github.com/fransou/is-meta-learning-necessary

Strategies for Pre-training Graph Neural Networks

https://github.com/fschmid56/efficientat_hear

HEAR: Holistic Evaluation of Audio Representations

https://github.com/gkassel/pyaixi

A Monte Carlo AIXI Approximation

https://github.com/gnn4dr/DRKG

Strategies for Pre-training Graph Neural Networks

https://github.com/gshashank84/CheXNet

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/hld67890/prml2020_pj

Strategies for Pre-training Graph Neural Networks

https://github.com/hmdolatabadi/acs

Coresets for Data-efficient Training of Machine Learning Models

https://github.com/hubertjb/dl-eeg-review

Deep learning-based electroencephalography analysis: a systematic review

https://github.com/hughsalimbeni/bayesian_benchmarks

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

https://github.com/icanswim/cxr

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/jacquesboitreaud/DeepFRED

Strategies for Pre-training Graph Neural Networks

https://github.com/jacquesboitreaud/rna_ne

Strategies for Pre-training Graph Neural Networks

https://github.com/jfhealthcare/Chexpert

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/jm12138/Paddle-CheXNet

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/jonahanton/ssl_audio

HEAR: Holistic Evaluation of Audio Representations

https://github.com/jrzech/reproduce-chexnet

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/kaleab-k/VideoAT

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

https://github.com/karandesaiii/CheXNet

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/kylemath/DeepEEG

Deep learning-based electroencephalography analysis: a systematic review

https://github.com/leaguilar/baldwin_veering

How intelligence can change the course of evolution

https://github.com/learnables/learn2learn

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

https://github.com/leffff/any-domain-pretrain-gnns

Strategies for Pre-training Graph Neural Networks

https://github.com/liyu10000/pneumoconiosis

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

https://github.com/lywang3081/caf

CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One

https://github.com/maplightrx/maplight-tdc

Strategies for Pre-training Graph Neural Networks

https://github.com/masterai-eam/sciqag

SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation

https://github.com/mechatoz/convolt

Convolutional Analysis Operator Learning: Dependence on Training Data

https://github.com/microsoft/fs-mol

Strategies for Pre-training Graph Neural Networks

https://github.com/mindspore-ai/models/tree/master/research/cv/resnet3d

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

https://github.com/mmSir/GainedVAE

Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation

https://github.com/modar7/the_fairness_stitch

Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks

https://github.com/mseitzer/csmri-refinement

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction

https://github.com/ncbi-nlp/NegBio

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

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