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Diversity

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.

Papers

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Showing 2951–2975 of 9051 papers

TitleStatusHype
Generalized Face Liveness Detection via De-fake Face Generator—0
Learning to detect cloud and snow in remote sensing images from noisy labels—0
SM^3: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects—0
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation—0
Evolutionary Multi-Objective Diversity Optimization—0
Integrate Any Omics: Towards genome-wide data integration for patient stratificationCode2
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense ReasoningCode0
Large Language Models Can Learn Temporal ReasoningCode2
Microphone Conversion: Mitigating Device Variability in Sound Event ClassificationCode0
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese—0
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentationCode0
INTERS: Unlocking the Power of Large Language Models in Search with Instruction TuningCode3
Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain—0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human ProgrammersCode1
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems—0
R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation—0
Diversity-aware clustering: Computational Complexity and Approximation Algorithms—0
Generating Diverse and High-Quality Texts by Minimum Bayes Risk DecodingCode0
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN—0
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks—0
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models—0
HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks—0
Proof of Efficient Liquidity: A Staking Mechanism for Capital Efficient Liquidity—0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity—0
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