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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 6226–6250 of 9051 papers

TitleStatusHype
Stratified Data Integration—0
Diversity in Kemeny Rank Aggregation: A Parameterized Approach—0
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning—0
Contrastive Model Inversion for Data-Free Knowledge DistillationCode1
Path-based Deep Network for Candidate Item Matching in Recommenders—0
Style-Restricted GAN: Multi-Modal Translation with Style Restriction Using Generative Adversarial NetworksCode0
Studying the association of online brand importance with museum visitors: An application of the semantic brand score—0
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods—0
A Primer on Techtile: An R&D Testbed for Distributed Communication, Sensing and Positioning—0
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph RepresentationsCode0
Plot and Rework: Modeling Storylines for Visual StorytellingCode1
On Measuring the Diversity of Organizational NetworksCode0
Do City Borders Constrain Ethnic Diversity?—0
MapGo: Model-Assisted Policy Optimization for Goal-Oriented TasksCode0
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization—0
Semantic Diversity Learning for Zero-Shot Multi-label ClassificationCode1
Learning to Generate Novel Scene Compositions from Single Images and VideosCode1
The Semantic Brand Score—0
Diffusion Models Beat GANs on Image SynthesisCode2
Towards transparency in NLP shared tasks—0
Improving Adversarial Transferability with Gradient RefiningCode1
Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention—0
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research—0
Efficient Self-Supervised Data Collection for Offline Robot Learning—0
Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity—0
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