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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/shiyunee/facet-generation

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A Comparative Study of Training Objectives for Clarification Facet Generation

https://github.com/shoroi/align-n-merge

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Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis

https://github.com/shoryaconsul/xvir

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XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples

https://github.com/shramanpramanick/transformer_based_geo-localization

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Where in the World is this Image? Transformer-based Geo-localization in the Wild

https://github.com/shubham1810/trove_toolkit

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TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

https://github.com/shubhishukla10/parl

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Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles

https://github.com/shunjiu/aurl

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An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System

https://github.com/shuowang26/endoked

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Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models

https://github.com/shvdiwnkozbw/Self-supervised-Video-Concept

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Static and Dynamic Concepts for Self-supervised Video Representation Learning

https://github.com/sichao-li/diverse-explanations-physical-sciences

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Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical Sciences

https://github.com/sidneyp/neural-cellular-robot-substrate

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A Unified Substrate for Body-Brain Co-evolution

https://github.com/sigeisler/robustness_of_gnns_at_scale

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Robustness of Graph Neural Networks at Scale

https://github.com/silin159/diffucomet

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DiffuCOMET: Contextual Commonsense Knowledge Diffusion

https://github.com/silversolver/ai_boundary_detection

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AI-generated text boundary detection with RoFT

https://github.com/siml3/ru-net

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RU-Net: Regularized Unrolling Network for Scene Graph Generation

https://github.com/sinaahmadi/cordi

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Language and Speech Technology for Central Kurdish Varieties

https://github.com/sion1/dfan

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Dual Feature Augmentation Network for Generalized Zero-shot Learning

https://github.com/sir-lab/data-release

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How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads

https://github.com/sirui-xu/stars

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Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors

https://github.com/sisinflab/Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization

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Reenvisioning Collaborative Filtering vs Matrix Factorization

https://github.com/sisinflab/SEMAUTO-2.0

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Computing recommendations via a Knowledge Graph-aware Autoencoder

https://github.com/sisinflab/multimod-popularity-bias

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On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis

https://github.com/sivannavis/samo

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SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing

https://github.com/sizhelee/diff-bgm

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Diff-BGM: A Diffusion Model for Video Background Music Generation

https://github.com/sjtu-marl/zsc-eval

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ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination

https://github.com/skelemoa/mugl

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MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion

https://github.com/skmur/onefish-twofish

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One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity

https://github.com/skrighyz/osiris

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Integrating Present and Past in Unsupervised Continual Learning

https://github.com/slds-lmu/qdo_nas

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Tackling Neural Architecture Search With Quality Diversity Optimization

https://github.com/slds-lmu/qdo_yahpo

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A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models

https://github.com/sled-group/teachable_rl

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Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use

https://github.com/sleighsoft/fti

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Improving the Evaluation of Generative Models with Fuzzy Logic

https://github.com/sliorde/generating-neural-networks-with-neural-networks

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Generating Neural Networks with Neural Networks

https://github.com/sm2982/meta-analysis-llms-creativity

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Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis

https://github.com/smearle/control-pcgrl

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Illuminating Diverse Neural Cellular Automata for Level Generation

https://github.com/smilesdzgk/du-vae

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Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness

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