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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/juelin/texturesynthesis-stylegan2-pytorch

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Towards Universal Texture Synthesis by Combining Texton Broadcasting with Noise Injection in StyleGAN-2

https://github.com/jugg1er/air

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AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning

https://github.com/julietljy/bal

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BAL: Balancing Diversity and Novelty for Active Learning

https://github.com/jumpy-pku/diner

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DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization

https://github.com/junaidmalik09/fastonn

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Self-Organized Operational Neural Networks with Generative Neurons

https://github.com/junlianglv/task_diversity_bfl

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Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression

https://github.com/junlinhan/yoco

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You Only Cut Once: Boosting Data Augmentation with a Single Cut

https://github.com/junyanz/BicycleGAN

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Toward Multimodal Image-to-Image Translation

https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix

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Microphone Conversion: Mitigating Device Variability in Sound Event Classification

https://github.com/justarter/gmocat

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GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

https://github.com/justlfc03/dfcps

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Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies

https://github.com/justlovesmile/sisp

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SISP: A Benchmark Dataset for Fine-grained Ship Instance Segmentation in Panchromatic Satellite Images

https://github.com/justtherightsize/empo

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EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization

https://github.com/k2okoh/mad

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Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains

https://github.com/kaelsunkiller/vat

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Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image Captioning

https://github.com/kagawa588/gvseg

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General and Task-Oriented Video Segmentation

https://github.com/kaiseem/pointnu-net

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PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification

https://github.com/kaiseem/slaug

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Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation

https://github.com/kaixin96/mixreg

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Improving Generalization in Reinforcement Learning with Mixture Regularization

https://github.com/kaiyizhang/SGAS

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Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

https://github.com/kaleabtessera/hypermarl

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HyperMARL: Adaptive Hypernetworks for Multi-Agent RL

https://github.com/kamanphoebe/look-into-moes

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A Closer Look into Mixture-of-Experts in Large Language Models

https://github.com/kamel773/llm-code-refine

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Can LLMs Patch Security Issues?

https://github.com/kami93/CMU-DATF

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Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

https://github.com/kamilsjaron/oh-know

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Guide to k-mer approaches for genomics across the tree of life

https://github.com/karanwxliaa/underwater-trash-detection

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Optimized Custom Dataset for Efficient Detection of Underwater Trash

https://github.com/karenlatong/AGC-master

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Attributed Graph Clustering via Adaptive Graph Convolution

https://github.com/karlotness/nn-benchmark

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An Extensible Benchmark Suite for Learning to Simulate Physical Systems

https://github.com/karthikpuranik11/Hope-Speech-Detection-

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IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers

https://github.com/karthikv792/llms-planning

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PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

https://github.com/katejarne/RNN_study_with_keras

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Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks

https://github.com/kayuksel/robust-qd-portfolio-ensemble

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Generative Meta-Learning Robust Quality-Diversity Portfolio

https://github.com/kazuto1011/dusty-gan-v2

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Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data

https://github.com/kbatsuren/kindiv

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Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship

https://github.com/kdst-team/probablistic_precision_recall

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Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models

https://github.com/kechua/DART20

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First U-Net Layers Contain More Domain Specific Information Than The Last Ones

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