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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 701–725 of 9051 papers

TitleStatusHype
Diversity-based Trajectory and Goal Selection with Hindsight Experience ReplayCode1
Diversity Enhanced Active Learning with Strictly Proper Scoring RulesCode1
Controllable Video Captioning with an Exemplar SentenceCode1
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet AccuracyCode1
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI ReconstructionCode1
DNN-based mask estimation for distributed speech enhancement in spatially unconstrained microphone arraysCode1
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue GenerationCode1
Domain-Smoothing Network for Zero-Shot Sketch-Based Image RetrievalCode1
Domain-Unified Prompt Representations for Source-Free Domain GeneralizationCode1
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement LearningCode1
3D Vision and Language Pretraining with Large-Scale Synthetic DataCode1
Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided DiffusionCode1
DREAM: Efficient Dataset Distillation by Representative MatchingCode1
Controllable Text Generation via Probability Density Estimation in the Latent SpaceCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI DataCode1
Adversarial Feature Hallucination Networks for Few-Shot LearningCode1
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse LearningCode1
Answering Ambiguous Questions via Iterative PromptingCode1
COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language BenchmarkCode1
AnthroNet: Conditional Generation of Humans via AnthropometricsCode1
DVG-Face: Dual Variational Generation for Heterogeneous Face RecognitionCode1
Curriculum-guided Hindsight Experience ReplayCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code ContributionsCode1
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