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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/chennnnnyize/BayesianRenewablesGAN

공식 코드

Bayesian Renewables Scenario Generation via Deep Generative Networks

https://github.com/chennnnnyize/Renewables_Scenario_Gen_GAN

공식 코드

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

https://github.com/chenruduan/oareactdiff

공식 코드

Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks

https://github.com/chenxi1228/lete

공식 코드

Rethinking Time Encoding via Learnable Transformation Functions

https://github.com/chenyang4/resmooth

공식 코드

ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation

https://github.com/chijames/kerple

공식 코드

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation

https://github.com/chin-gyou/Div-Non-Conv

공식 코드

Diversifying Dialogue Generation with Non-Conversational Text

https://github.com/chongqingnosubway/dgr-mil

공식 코드

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification

https://github.com/chrieke/awesome-satellite-imagery-datasets

공식 코드

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

https://github.com/chrisisking/caribbean-creole-languages-translation

공식 코드

Guylingo: The Republic of Guyana Creole Corpora

https://github.com/chrisliiiii/swan

공식 코드

Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction

https://github.com/chriswang98sz/bierl

공식 코드

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization

https://github.com/chuduanfeng/charms

공식 코드

CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving

https://github.com/cientgu/GIQA

공식 코드

GIQA: Generated Image Quality Assessment

https://github.com/cihangxie/DI-2-FGSM

공식 코드

Improving Transferability of Adversarial Examples with Input Diversity

https://github.com/ciol-researchlab/Context-Aware_Translation_MAS

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Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI Systems

https://github.com/cjshui/WAAL

공식 코드

Deep Active Learning: Unified and Principled Method for Query and Training

https://github.com/claroche-r/fastdiffusionem

공식 코드

Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution

https://github.com/cliang1453/camero

공식 코드

CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing

https://github.com/clickff/adseqgan

공식 코드

Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation

https://github.com/clott3/multi-sym-ensem

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Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries

https://github.com/cloudygoose/negativetraining_acl2020

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Negative Training for Neural Dialogue Response Generation

https://github.com/clovaai/FocusSeq2Seq

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Mixture Content Selection for Diverse Sequence Generation

https://github.com/clovaai/generative-evaluation-prdc

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Reliable Fidelity and Diversity Metrics for Generative Models

https://github.com/clovaai/puridiver

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Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries

https://github.com/clovaai/rainbow-memory

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Rainbow Memory: Continual Learning with a Memory of Diverse Samples

https://github.com/clovaai/stargan-v2

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StarGAN v2: Diverse Image Synthesis for Multiple Domains

https://github.com/clvoloshin/COBS

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Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning

https://github.com/clvoloshin/OPE-tools

공식 코드

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning

https://github.com/cmudig/ai-clinician-mimiciv

공식 코드

How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models

https://github.com/cnnp-lab/2024_folding_scales

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Neuro-evolutionary evidence for a universal fractal primate brain shape

https://github.com/cnnp-lab/CorticalFoldingAnalysisTools

공식 코드

Neuro-evolutionary evidence for a universal fractal primate brain shape

https://github.com/cocoon2wong/socialcircle

공식 코드

SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction

https://github.com/coderalo/11785-automatic-poetry-generation

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GPoeT-2: A GPT-2 Based Poem Generator

https://github.com/codesfornlp/ttea

공식 코드

Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment

https://github.com/cogsys-tuebingen/hsi_benchmark

공식 코드

Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.