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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 3301–3350 of 9051 papers

TitleStatusHype
Alibaba Submission to the WMT18 Parallel Corpus Filtering Task—0
CREA: A Collaborative Multi-Agent Framework for Creative Content Generation with Diffusion Models—0
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation—0
A two-stage algorithm in evolutionary product unit neural networks for classification—0
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization—0
An Algorithm for Multi-Attribute Diverse Matching—0
CPLM, a Parallel Corpus for Mexican Languages: Development and Interface—0
A Tutorial On Intersectionality in Fair Rankings—0
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics—0
Attribution for Enhanced Explanation with Transferable Adversarial eXploration—0
Algorithmic Scenario Generation as Quality Diversity Optimization—0
A DAFT Based Unified Waveform Design Framework for High-Mobility Communications—0
A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents—0
ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio—0
Dialog State Tracking with Reinforced Data Augmentation—0
Covariance Matrix Adaptation MAP-Annealing—0
Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval—0
Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification—0
CourseGPT-zh: an Educational Large Language Model Based on Knowledge Distillation Incorporating Prompt Optimization—0
Coupling in situ and remote sensing data to assess α- and β-diversity over biogeographic gradients—0
Counting and optimising maximum phylogenetic diversity sets—0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes—0
Counterfactual Data Augmentation improves Factuality of Abstractive Summarization—0
Algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, and modularity—0
Cost-Effective Cyber-Physical System Prototype for Precision Agriculture with a Focus on Crop Growth—0
Cost-Based Budget Active Learning for Deep Learning—0
COSMOS: Experimental and Comparative Studies of Concept Representations in Schoolchildren—0
Attribute analysis with synthetic dataset for person re-identification—0
A Learning Scheme for Microgrid Islanding and Reconnection—0
AdaFlow: Opportunistic Inference on Asynchronous Mobile Data with Generalized Affinity Control—0
Cosmic radiation drives quasi-periodic changes in the diversity of siliceous marine microplankton—0
Cosine Similarity of Multimodal Content Vectors for TV Programmes—0
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs—0
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning—0
Correlated Errors in Large Language Models—0
Corpus Development of Kiswahili Speech Recognition Test and Evaluation sets, Preemptively Mitigating Demographic Bias Through Collaboration with Linguists—0
Attentive Aspect Modeling for Review-aware Recommendation—0
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment—0
Corpus COFLA: A research corpus for the Computational study of Flamenco Music—0
Corpus-based Content Construction—0
Attention in Diffusion Model: A Survey—0
Corporate Social Responsibility and Corporate Governance: A cognitive approach—0
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning—0
Attention-Enhanced U-Net for Accurate Segmentation of COVID-19 Infected Lung Regions in CT Scans—0
Coreset Selection for Object Detection—0
Coreference in Spoken vs. Written Texts: a Corpus-based Analysis—0
Coreference Chains Categorization by Sequence Clustering—0
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning—0
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