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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 4651–4700 of 9051 papers

TitleStatusHype
Designing a Robust Radiology Report Generation System—0
Designing Data: Proactive Data Collection and Iteration for Machine Learning—0
Designing Recommender Systems to Depolarize—0
Market Design with Distributional Objectives—0
DesnowNet: Context-Aware Deep Network for Snow Removal—0
Detail-Preserving Latent Diffusion for Stable Shadow Removal—0
Detecting Bone Lesions in X-Ray Under Diverse Acquisition Conditions—0
Detecting patterns of species diversification in the presence of both rate shifts and mass extinctions—0
Detecting Quality Problems in Data Models by Clustering Heterogeneous Data Values—0
Detecting Sockpuppets in Deceptive Opinion Spam—0
Detecting Trojaned DNNs Using Counterfactual Attributions—0
Detection and Measurement of Syntactic Templates in Generated Text—0
Determinantal Beam Search—0
Determinantal consensus clustering—0
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis—0
Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework—0
Development of Multi-level Linguistic Alignment in Child-adult Conversations—0
Deviations from universality in the fluctuation behavior of a heterogeneous complex system reveal intrinsic properties of components: The case of the international currency market—0
Device-Free Localization Using Multi-Link MIMO Channels in Distributed Antenna Networks—0
Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
DFlow: Diverse Dialogue Flow Simulation with Large Language Models—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning—0
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception—0
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning—0
Dialect Adaptation and Data Augmentation for Low-Resource ASR: TalTech Systems for the MADASR 2023 Challenge—0
Dialect Diversity in Text Summarization on Twitter—0
Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English—0
Dialect Transfer for Swiss German Speech Translation—0
Dialogue Language Model with Large-Scale Persona Data Engineering—0
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs—0
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation—0
DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning—0
DIANES: A DEI Audit Toolkit for News Sources—0
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement—0
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control—0
Dictionary and Image Recovery from Incomplete and Random Measurements—0
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection—0
Cap2Aug: Caption guided Image to Image data Augmentation—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model—0
DiffCSS: Diverse and Expressive Conversational Speech Synthesis with Diffusion Models—0
Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming—0
Differentia compositionem facit. A Slower-Paced and Reliable Parser for Latin—0
Differential Evolution with Individuals Redistribution for Real Parameter Single Objective Optimization—0
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