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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/ChenWu98/Coupled-VAE

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On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond

https://github.com/ChengyueGongR/PatchVisionTransformer

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Vision Transformers with Patch Diversification

https://github.com/ChengyueGongR/advsoft

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Improving Neural Language Modeling via Adversarial Training

https://github.com/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity

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Fully Automatic Video Colorization with Self-Regularization and Diversity

https://github.com/ChenyunWu/PhraseCutDataset

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PhraseCut: Language-based Image Segmentation in the Wild

https://github.com/Chloe-Yu/Animal-Re-ID

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Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment

https://github.com/Cho-Geonwoo/amped

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AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification

https://github.com/ChrisIsKing/Parameter-Efficient-Personalization

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PEFT-U: Parameter-Efficient Fine-Tuning for User Personalization

https://github.com/ChrisMats/CSAW-S

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Adding Seemingly Uninformative Labels Helps in Low Data Regimes

https://github.com/ChrisMats/seemingly_uninformative_labels

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Adding Seemingly Uninformative Labels Helps in Low Data Regimes

https://github.com/ChrisWu1997/Multimodal-Shape-Completion

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Multimodal Shape Completion via Conditional Generative Adversarial Networks

https://github.com/CompVis/image2video-synthesis-using-cINNs

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Stochastic Image-to-Video Synthesis using cINNs

https://github.com/Coolshanlan/DDFH-active-3Ddet

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Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection

https://github.com/CoraliePicoche/SeedBank

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Seed banks can help to maintain the diversity of interacting phytoplankton species

https://github.com/Crista23/JudgeTheJudges

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Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation

https://github.com/Cyan0731/MusiConGen

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MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation

https://github.com/CyberAgentAILab/annotation-efficient-po

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Annotation-Efficient Preference Optimization for Language Model Alignment

https://github.com/CyberAgentAILab/diverse-mbr

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Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

https://github.com/DAMO-NLP-SG/SeaExam

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SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages

https://github.com/DART2022/DART

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DART: Articulated Hand Model with Diverse Accessories and Rich Textures

https://github.com/DIDSR/ssynth-release

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S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

https://github.com/DIRECT-BIT/SRA-MCTS

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SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation

https://github.com/DM2-ND/MoKGE

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Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts

https://github.com/DPautoGAN/DPautoGAN

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Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

https://github.com/DSobscure/cgi_drl_platform

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Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games

https://github.com/DV-Anh/EDO-Niching

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Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem

https://github.com/DaphneAntotsiou/Adversarial-Imitation-Learning-with-Trajectorial-Augmentation-and-Correction

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Adversarial Imitation Learning with Trajectorial Augmentation and Correction

https://github.com/Davidzhangyuanhan/CelebA-Spoof

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CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations

https://github.com/Deep-Machine-Vision/he-cka-ensembles

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Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA

https://github.com/DenisPeskoff/FedNLP

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GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves

https://github.com/DepthAnything/Depth-Anything-V2

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Depth Anything V2

https://github.com/Diamond101010/RMMDF

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Recursive Multi-model Complementary Deep Fusion forRobust Salient Object Detection via Parallel Sub Networks

https://github.com/DiffusionLight/DiffusionLight

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DiffusionLight: Light Probes for Free by Painting a Chrome Ball

https://github.com/Dilruk/CnGAN

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CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users

https://github.com/DistributedML/FoolsGold

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Mitigating Sybils in Federated Learning Poisoning

https://github.com/DmitriiShubin/Variance-Aware-Training

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About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations

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