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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 8251–8300 of 9051 papers

TitleStatusHype
Measuring the Diversity of Automatic Image DescriptionsCode0
Corpus-based Content Construction—0
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings—0
Adversarial Multi-lingual Neural Relation ExtractionCode0
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation—0
A Prospective-Performance Network to Alleviate Myopia in Beam Search for Response Generation—0
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers—0
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators—0
Experimental Results of a 3D Millimeter-Wave Compressive-Reflector-Antenna Imaging System—0
Improving Sequential Determinantal Point Processes for Supervised Video Summarization—0
A small Griko-Italian speech translation corpus—0
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks—0
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN—0
Video Storytelling: Textual Summaries for Events—0
How good is my GAN?—0
Prototype Discovery using Quality-Diversity—0
Flow-Grounded Spatial-Temporal Video Prediction from Still ImagesCode0
A Novel ILP Framework for Summarizing Content with High Lexical Variety—0
Big data analyses reveal patterns and drivers of the movements of southern elephant seals—0
Examining Scientific Writing Styles from the Perspective of Linguistic Complexity—0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
User Fairness in Recommender Systems—0
Knowledge-aware Autoencoders for Explainable Recommender Sytems—0
Analysis and Modeling of Behavioral Changes in a News Service—0
Entropy and Energy Detection-based Spectrum Sensing over F Composite Fading Channels—0
Assessing fish abundance from underwater video using deep neural networks—0
Efficiently Secure Broadcasting in 5G Wireless Fog-Based-Fronthaul Networks—0
A Many-Objective Evolutionary Algorithm Based on Decomposition and Local Dominance—0
Computing recommendations via a Knowledge Graph-aware AutoencoderCode0
Instance-based entropy fuzzy support vector machine for imbalanced data—0
Variational Capsules for Image Analysis and Synthesis—0
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization—0
A Combined CNN and LSTM Model for Arabic Sentiment Analysis—0
Quality Diversity Through SurpriseCode0
Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingCode0
Curiosity Driven Exploration of Learned Disentangled Goal SpacesCode0
Diversity in Machine Learning—0
Deep Architectures and Ensembles for Semantic Video Classification—0
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking—0
Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO)—0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
Neural User Simulation for Corpus-based Policy Optimisation of Spoken Dialogue Systems—0
A Neural Approach to Pun Generation—0
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning—0
Enhancement of Encoder and Attention Using Target Monolingual Corpora in Neural Machine Translation—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
Improving Topic Quality by Promoting Named Entities in Topic Modeling—0
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy—0
Constrained Interacting Submodular Groupings—0
High Diversity Attribute Guided Face Generation with GANs—0
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