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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 2151–2175 of 9051 papers

TitleStatusHype
UrduLLaMA 1.0: Dataset Curation, Preprocessing, and Evaluation in Low-Resource Settings—0
SFLD: Reducing the content bias for AI-generated Image Detection—0
CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals—0
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation—0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up QuestionsCode0
HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation—0
Low-Rank and Sparse Model Merging for Multi-Lingual Speech Recognition and Translation—0
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent SystemsCode0
Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule GenerationCode0
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System—0
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems—0
Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming—0
MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning—0
Chitrarth: Bridging Vision and Language for a Billion People—0
Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence—0
MoMa: A Modular Deep Learning Framework for Material Property Prediction—0
Non-Linear Flow Matching for Full-Atom Peptide Design—0
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing—0
Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison—0
Affinity and Diversity: A Unified Metric for Demonstration Selection via Internal Representations—0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization—0
Reducing false positives in strong lens detection through effective augmentation and ensemble learning—0
Image compositing is all you need for data augmentation—0
ETS: Efficient Tree Search for Inference-Time ScalingCode0
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