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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 4501–4550 of 9051 papers

TitleStatusHype
Data-Centric Long-Tailed Image Recognition—0
Data Collection and Labeling Techniques for Machine Learning—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Data Dieting in GAN Training—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Data Diversity Matters for Robust Instruction Tuning—0
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules—0
Data-Driven Discovery of Functional Cell Types that Improve Models of Neural Activity—0
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods—0
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing—0
Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing—0
Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization—0
Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction—0
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy—0
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective—0
Data-Free Distillation of Language Model by Text-to-Text Transfer—0
Data-Free Neural Architecture Search via Recursive Label Calibration—0
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study—0
Data Instance Prior for Transfer Learning in GANs—0
Data InStance Prior (DISP) in Generative Adversarial Networks—0
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development—0
Data Measurements for Decentralized Data Markets—0
Systematic evaluation of the isolated effect of tissue environment on the transcriptome using a single-cell RNA-seq atlas dataset—0
Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy—0
Data Quality in Imitation Learning—0
Data Representation and Compression Using Linear-Programming Approximations—0
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision—0
Dataset and Enhanced Model for Eligibility Criteria-to-SQL Semantic Parsing—0
Dataset Bias in Few-shot Image Recognition—0
Dataset Geography: Mapping Language Data to Language Users—0
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review—0
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model—0
DATTA: Towards Diversity Adaptive Test-Time Adaptation in Dynamic Wild World—0
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild—0
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition—0
DCAN: Diversified News Recommendation with Coverage-Attentive Networks—0
D-CBRS: Accounting For Intra-Class Diversity in Continual Learning—0
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting—0
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning—0
DDS: A new device-degraded speech dataset for speech enhancement—0
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems—0
Decentralized Air Traffic Management for Advanced Air Mobility—0
Decentralized Collaborative Learning with Probabilistic Data Protection—0
Artificial Intelligence in Election Campaigns: Perceptions, Penalties, and Implications—0
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks—0
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making—0
Decision Fusion in Space-Time Spreading aided Distributed MIMO WSNs—0
Decoding and Diversity in Machine Translation—0
Decoding OTC Government Bond Market Liquidity: An ABM Model for Market Dynamics—0
Decoding the Diversity: A Review of the Indic AI Research Landscape—0
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