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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/GuanSuns/ASGRL

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Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity

https://github.com/GuyTevet/diversity-eval

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Evaluating the Evaluation of Diversity in Natural Language Generation

https://github.com/HKUST-KnowComp/DISCOS-commonsense

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DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge

https://github.com/HKUST-KnowComp/Social-Explorative-Attention-Networks

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Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction

https://github.com/HPAI-BSC/SuSy

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Present and Future Generalization of Synthetic Image Detectors

https://github.com/HYU-NLP/BlendX

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BlendX: Complex Multi-Intent Detection with Blended Patterns

https://github.com/HaoZhongkai/DPOT

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DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training

https://github.com/HareeshBahuleyan/tf-var-attention

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Variational Attention for Sequence-to-Sequence Models

https://github.com/HelenMao/MSGAN

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Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

https://github.com/Henrium/ET-AL

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ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data

https://github.com/HideUnderBush/UI2I_via_StyleGAN2

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Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network

https://github.com/HoseinAzarbonyad/HiTR

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HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents

https://github.com/HristoInouzhe/AttractionRepulsionClustering

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Attraction-Repulsion clustering with applications to fairness

https://github.com/HsinYingLee/DRIT

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Diverse Image-to-Image Translation via Disentangled Representations

https://github.com/HuXiaoling/TopoTrigger

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Trigger Hunting with a Topological Prior for Trojan Detection

https://github.com/HuguesMoreau/TMD_fusion_benchmark

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Data Fusion for Deep Learning on Transport Mode Detection: A Case Study

https://github.com/HumanCompatibleAI/overcooked_ai

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

https://github.com/Hyacinth-YX/mixture-of-collaborative-experts

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Enhancing Molecular Property Prediction via Mixture of Collaborative Experts

https://github.com/I2RDL2/ASTAR-3D

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A*3D Dataset: Towards Autonomous Driving in Challenging Environments

https://github.com/IAmS4n/DGSAN

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DGSAN: Discrete Generative Self-Adversarial Network

https://github.com/IAmS4n/TextGenerationEvaluationMetrics

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Jointly Measuring Diversity and Quality in Text Generation Models

https://github.com/IBM/Dromedary

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Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

https://github.com/IBM/OoD

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Treatment Effect Estimation using Invariant Risk Minimization

https://github.com/IBM/Project_CodeNet

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CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

https://github.com/ICME-2025/HyperMAN

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HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation

https://github.com/IDEA-Research/DiffHOI

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Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model

https://github.com/IdanAchituve/DefRec_and_PCM

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Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud

https://github.com/IoannisNasios/M5_Uncertainty_3rd_place

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Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series

https://github.com/JDAI-CV/faceX-Zoo

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Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning

https://github.com/JHL-HUST/FPS

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Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers

https://github.com/JTRNEO/SyntheWorld

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SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection

https://github.com/JackAILab/ConsistentID

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ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

https://github.com/Jacobsolawetz/large-scale-oie

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LSOIE: A Large-Scale Dataset for Supervised Open Information Extraction

https://github.com/JayoungKim408/STaSy

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STaSy: Score-based Tabular data Synthesis

https://github.com/JeffCHEN2017/WSSTG

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Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video

https://github.com/JeongsooP/Community-Forensics

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Community Forensics: Using Thousands of Generators to Train Fake Image Detectors

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