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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 1776–1800 of 9051 papers

TitleStatusHype
Chirped DFT-s-OFDM: A new single-carrier waveform with enhanced LMMSE noise suppression—0
On a Scale-Invariant Approach to Bundle Recommendations in Candy Crush Saga—0
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models—0
SkillMimic: Learning Basketball Interaction Skills from DemonstrationsCode3
Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting—0
Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in GamesCode0
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM—0
Facilitating bootstrapped and rarefaction-based microbiome diversity analysis with q2-bootsCode0
P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for data pruning in LLM Training—0
LaiDA: Linguistics-aware In-context Learning with Data Augmentation for Metaphor Components IdentificationCode0
How Well Do LLMs Identify Cultural Unity in Diversity?Code0
Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy and Novel Ensemble Method—0
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial DescriptionCode0
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension—0
Artificial Intelligence in Election Campaigns: Perceptions, Penalties, and Implications—0
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation—0
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language ModelsCode0
Better Alignment with Instruction Back-and-Forth Translation—0
Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design—0
HistoSPACE: Histology-Inspired Spatial Transcriptome Prediction And Characterization Engine—0
Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through RecommendationsCode0
e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation—0
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial AttacksCode0
FMiFood: Multi-modal Contrastive Learning for Food Image Classification—0
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred LearningCode0
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