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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 8301–8350 of 9051 papers

TitleStatusHype
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models—0
Constrained Interacting Submodular Groupings—0
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation—0
Consistent Multiple Sequence Decoding—0
Diffusing Differentiable Representations—0
Diffusion Adaptation Over Clustered Multitask Networks Based on the Affine Projection Algorithm—0
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak—0
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space—0
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images—0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation—0
Consistent Flow Distillation for Text-to-3D Generation—0
Consistency and Diversity induced Human Motion Segmentation—0
Diffusion Deepfake—0
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space—0
Considerations for Ethical Speech Recognition Datasets—0
Diffusion Least Mean Square: Simulations—0
Conservative Exploration using Interleaving—0
Diffusion-like recommendation with enhanced similarity of objects—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient—0
Diffusion Model for Slate Recommendation—0
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation—0
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection—0
Diffusion Model with Perceptual Loss—0
Diffusion on language model encodings for protein sequence generation—0
Conformity bias in the cultural transmission of music sampling traditions—0
DiffusionPhase: Motion Diffusion in Frequency Domain—0
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion—0
Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks—0
ConfigTron: Tackling network diversity with heterogeneous configurations—0
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models—0
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving—0
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout—0
Condorcet's Jury Theorem for Consensus Clustering and its Implications for Diversity—0
Digital Life Project: Autonomous 3D Characters with Social Intelligence—0
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous Node Features and Interaction Rules—0
DiMA: Sequence Diversity Dynamics Analyser for Viruses—0
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models—0
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning—0
Dimensionality reduction for k-means clustering of large-scale influenza mutation datasets—0
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness—0
SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset—0
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation—0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
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