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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://github.com/NVlabs/denoising-diffusion-gan

공식 코드

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

https://github.com/NaiboWang/Ensemble-Selection-For-One-Shot-Federated-Learning-In-Machine-Learning-Model-Market

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Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market

https://github.com/NaiboWang/FedELMY

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One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity

https://github.com/Nalin21478/NLP-Project

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Sentiment Analysis Across Languages: Evaluation Before and After Machine Translation to English

https://github.com/NataliaDiaz/Egoshots

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Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models

https://github.com/NonlinearArtificialIntelligenceLab/jaxDiversity

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Neuronal diversity can improve machine learning for physics and beyond

https://github.com/OnomaAi101/CAT

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CAT: Contrastive Adapter Training for Personalized Image Generation

https://github.com/OpenBMB/AgentCPM-GUI

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AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning

https://github.com/OpenGVLab/SAM-Med2D

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SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

https://github.com/OpenRL-Lab/DGPO

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DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

https://github.com/OpenRobotLab/Grounded_3D-LLM

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Grounded 3D-LLM with Referent Tokens

https://github.com/OptimusPrimus/dcase2020_workshop

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Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples

https://github.com/OrangeSodahub/CRLFnet

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RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous Driving

https://github.com/P2333/Adaptive-Diversity-Promoting

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Improving Adversarial Robustness via Promoting Ensemble Diversity

https://github.com/PGM-Lab/2022-AISTATS-diversity

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Diversity and Generalization in Neural Network Ensembles

https://github.com/PJaramilloV/pcdiff-method

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Cultural Heritage 3D Reconstruction with Diffusion Networks

https://github.com/POSTECH-CVLab/PyTorch-StudioGAN

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Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

https://github.com/PROBIC/BIB

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Bayesian identification of bacterial strains from sequencing data

https://github.com/PaddlePaddle/PaddleSpatial/tree/main/research/SHGNN

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Spatial Heterophily Aware Graph Neural Networks

https://github.com/PantoMatrix/PantoMatrix

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EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling

https://github.com/Pari-singh/unseen_object_reasoning

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Unseen Object Reasoning with Shared Appearance Cues

https://github.com/PedroBarbosa/Synthetic_datasets_generation

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Semantically Rich Local Dataset Generation for Explainable AI in Genomics

https://github.com/PedroBarbosa/dress

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Semantically Rich Local Dataset Generation for Explainable AI in Genomics

https://github.com/Pehlevan-Group/icl-asymptotic

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Asymptotic theory of in-context learning by linear attention

https://github.com/PengchaoHan/RDSKD

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Robustness and Diversity Seeking Data-Free Knowledge Distillation

https://github.com/PeterWang512/GANSketching

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Sketch Your Own GAN

https://github.com/PinataFarms/DAD-3DHeads

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DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image

https://github.com/PneuC/Keiki

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Keiki: Towards Realistic Danmaku Generation via Sequential GANs

https://github.com/PolymathicAI/lola

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Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation

https://github.com/PortNLP/FairEXTSummarizer

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Fair Summarization: Bridging Quality and Diversity in Extractive Summaries

https://github.com/PouyaREZ/GAN_GA

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Augmenting High-dimensional Nonlinear Optimization with Conditional GANs

https://github.com/Pranav21091996/Semantic_Fidelity-and-Egoshots

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Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models

https://github.com/PrasannaPulakurthi/Foreground-Background-Augmentation

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Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data

https://github.com/PrekshaNema25/DiverstiyBasedAttentionMechanism

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Diversity driven Attention Model for Query-based Abstractive Summarization

https://github.com/Purushothaman-natarajan/Synth-SONAR

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Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting

https://github.com/QingchuanLyu/Genetic-Algorithm-with-Border-Trades

공식 코드

Genetic Algorithm with Innovative Chromosome Patterns in the Breeding Process

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