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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 5951–6000 of 9051 papers

TitleStatusHype
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models—0
UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment—0
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation—0
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition—0
UINav: A Practical Approach to Train On-Device Automation Agents—0
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration—0
Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection—0
Ultra-Wideband Antenna with MIMO Diversity for 5G Wireless Communication—0
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition—0
Uncertainty And Evolutionary Optimization: A Novel Approach—0
Uncertainty-Aware Deep Video Compression with Ensembles—0
Uncertainty Awareness in Wireless Communications and Sensing—0
Uncertainty-Driven Action Quality Assessment—0
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection—0
Uncertainty Quantification for Atlas-Level Cell Type Transfer—0
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach—0
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation—0
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations—0
Unconditional Diffusion Guidance—0
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer—0
Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs—0
Fast uncovering of protein sequence diversity from structure—0
Understanding and Estimating Domain Complexity Across Domains—0
Understanding and Evaluating Hallucinations in 3D Visual Language Models—0
Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective—0
Understanding and Modelling the Complexity of the Immune System: Systems Biology for Integration and Dynamical Reconstruction of Lymphocyte Multi-Scale Dynamics—0
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition—0
Understanding Deformable Alignment in Video Super-Resolution—0
Understanding Diversity Based Neural Network Pruning in Teacher Student Setup—0
Attention Mechanism for LLM-based Agents Dynamic Diffusion under Information Asymmetry—0
Understanding Everyday Hands in Action From RGB-D Images—0
Understanding fitness landscapes in morpho-evolution via local optima networks—0
Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing—0
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms—0
Understanding Model Ensemble in Transferable Adversarial Attack—0
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection—0
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle—0
Understanding the Limitations of Diffusion Concept Algebra Through Food—0
Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling—0
Understanding the Role of Temperature in Diverse Question Generation by GPT-4—0
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning—0
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management—0
Understanding Unnatural Questions Improves Reasoning over Text—0
Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks—0
UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning—0
UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control—0
UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models—0
UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation—0
Unification of Balti and trans-border sister dialects in the essence of LLMs and AI Technology—0
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