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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/maria-korosteleva/Garment-Pattern-Estimation

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NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments

https://github.com/mariabankestad/geqshift

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Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networks

https://github.com/marialaurasantoni/cma-es-ds

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Cascading CMA-ES Instances for Generating Input-diverse Solution Batches

https://github.com/marialaurasantoni/diversity-fitness

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Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization

https://github.com/mariodoebler/test-time-adaptation

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Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction

https://github.com/markossta/aied_2025_video_qg

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Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos

https://github.com/markusgrotz/peract_bimanual

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PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks

https://github.com/marrlab/anomaly-aware-mil

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Anomaly-aware multiple instance learning for rare anemia disorder classification

https://github.com/martius-lab/depRL

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DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems

https://github.com/masakhane-io/masakhane-mt

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Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

https://github.com/masonyoungblood/DynCommPhylo

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Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)

https://github.com/mathuryash5/code-calibrates

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Program-Aided Reasoners (better) Know What They Know

https://github.com/matsuo-shinnosuke/isoal

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Instance-wise Supervision-level Optimization in Active Learning

https://github.com/mattc95/emphi

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EmpHi: Generating Empathetic Responses with Human-like Intents

https://github.com/mau-games/eddy

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Interactive Constrained MAP-Elites: Analysis and Evaluation of the Expressiveness of the Feature Dimensions

https://github.com/mavillot/funsd-entity-linking

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Text Classification Models for Form Entity Linking

https://github.com/maximegirard/memory-optimized-once-for-all

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Memory-Optimized Once-For-All Network

https://github.com/maximilianpi/islandldg

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Is there a robust effect of mainland mutualism rates on species richness of oceanic islands?

https://github.com/maybelee/comet

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COMET: Coverage-guided Model Generation For Deep Learning Library Testing

https://github.com/mbaradad/learning_with_noise

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Learning to See by Looking at Noise

https://github.com/mbzuai-nlp/artst

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Dialectal Coverage And Generalization in Arabic Speech Recognition

https://github.com/mbzuai-nlp/lamini-lm

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LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions

https://github.com/mc-eiu/mc-eiu

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Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset

https://github.com/mccorsi/fucone

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Functional connectivity ensemble method to enhance BCI performance (FUCONE)

https://github.com/mcg-nju/ddm

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Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection

https://github.com/mcg-nju/video-dc

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A Large-Scale Study on Video Action Dataset Condensation

https://github.com/mcjacktang/mmpd_rppg_dataset

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MMPD: Multi-Domain Mobile Video Physiology Dataset

https://github.com/mczhuge/ICON

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Salient Object Detection via Integrity Learning

https://github.com/mdbloice/pyrea

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Parea: multi-view ensemble clustering for cancer subtype discovery

https://github.com/mdenizturkmen/ecir2023

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New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches

https://github.com/meaten/motionaug

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MotionAug: Augmentation with Physical Correction for Human Motion Prediction

https://github.com/meclabtuda/bottlegan

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Federated Stain Normalization for Computational Pathology

https://github.com/mediabrain-sjtu/ming

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MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts

https://github.com/megagonlabs/rjdb

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Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks

https://github.com/mehrdad-noori/fds

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FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization

https://github.com/meilfang/synthaspoof

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SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data

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