https://gitlab.com/adriaruizo/dhne-aaai21
공식 코드Anytime Inference with Distilled Hierarchical Neural Ensembles
Papers with Code 아카이브
Diversity
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Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://gitlab.com/bardhp95/bae
공식 코드Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection
https://gitlab.com/humaint-ec_public/divinai-datasets
공식 코드Behind Recommender Systems: the Geography of the ACM RecSys Community
https://gitlab.com/ucdavisnlp/damd-multiwoz
공식 코드Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
https://gitlab.oit.duke.edu/cvit-public/dukeseg_public
공식 코드XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
https://huggingface.co/datasets/BGLab/MaizeField3D
공식 코드https://huggingface.co/datasets/sankalpsinha77/MARVEL-40M
공식 코드MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
https://huggingface.co/utter-project/mHuBERT-147
공식 코드https://worksheets.codalab.org/worksheets/0x88644b5ee189402eb19d39d721d1005c
공식 코드Unifying Human and Statistical Evaluation for Natural Language Generation
http://github.com//xingchenwan/cell-based-NAS-analysis
On Redundancy and Diversity in Cell-based Neural Architecture Search
https://github.com/01bb01/ebaychallenge
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
https://github.com/0h-n0/cdn_molecule_pytorch
Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks
https://github.com/2023-MindSpore-1/ms-code-141
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
https://github.com/2023-MindSpore-1/ms-code-164
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/2023-MindSpore-1/ms-code-183
https://github.com/2023-MindSpore-1/ms-code-212/tree/main/ecolite
https://github.com/2023-MindSpore-1/ms-code-222/tree/main/SRFlow
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
https://github.com/2023-MindSpore-1/ms-code-23
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
https://github.com/2023-MindSpore-1/ms-code-67
https://github.com/2023-MindSpore-4/Code10/tree/main/gan
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/2023-MindSpore-4/Code3/tree/main/ecolite
https://github.com/2023-MindSpore-4/Code7/tree/main/StarGAN
https://github.com/2xic/notebooks
https://github.com/59Kkk/pytorch_Ucolor_lcy
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
https://github.com/780753368/Deep-Feature-Perturbation
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
https://github.com/AIGAnimation/CAMDM
https://github.com/AIJoris/DPAC-DialogueGAN
https://github.com/AdamHtooLwin/vigilant
https://github.com/Adren98/EczemaApp
https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt
https://github.com/Aggrathon/MtGan
https://github.com/AirBernard/Scene-Text-Detection-with-SPCNET
Scene Text Detection with Supervised Pyramid Context Network
https://github.com/AleksSol/mmp_activity_diary
https://github.com/AlextheEngineer/Ego2Hands
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
https://github.com/AndlollipopFU/PCB
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.