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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 7001–7050 of 9051 papers

TitleStatusHype
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
Out-of-distribution detection for regression tasks: parameter versus predictor entropy—0
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars—0
Performance Analysis of Intelligent Reflective Surface Aided Wireless Communications—0
Towards Robust Neural Networks via Orthogonal DiversityCode0
Compressed Sensing with Approximate Priors via Conditional Resampling—0
Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems—0
Evolutionary Diversity Optimization and the Minimum Spanning Tree Problem—0
Explorable Tone Mapping Operators—0
Diversity in immunogenomics: the value and the challenge—0
Understanding Unnatural Questions Improves Reasoning over Text—0
A study of quality and diversity in K+1 GANs—0
Neural-Driven Multi-criteria Tree Search for Paraphrase Generation—0
PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed FadingCode0
Aggregating Dependent Gaussian Experts in Local Approximation—0
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman FilterCode0
Generating Diverse Translation from Model Distribution with Dropout—0
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding—0
Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks—0
Deep Submodular Networks for Extractive Data Summarization—0
Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation—0
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes—0
Towards Accurate Human Pose Estimation in Videos of Crowded Scenes—0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Non-saturating GAN training as divergence minimization—0
Ensembles of Spiking Neural Networks—0
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards—0
Diverse Keyphrase Generation with Neural Unlikelihood TrainingCode0
Performance Analysis and Optimization of RIS-Assisted Networks in Nakagami-m Environment—0
Deep Ensembles for Low-Data Transfer Learning—0
Random Network Distillation as a Diversity Metric for Both Image and Text Generation—0
Deep Delay Loop Reservoir Computing for Specific Emitter Identification—0
Single-Antenna-Based GPS Antijamming Method Exploiting Polarization Diversity—0
Channel Type Recognition in Wireless Communications: A Deep Learning Approach—0
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph—0
Complexity-based speciation and genotype representation for neuroevolution—0
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels—0
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods—0
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers—0
Langsmith: An Interactive Academic Text Revision System—0
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning—0
Parameter estimation in FACS-seq enables high-throughput characterization of phenotypic heterogeneity—0
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases—0
Cognitive Learning-Aided Multi-Antenna Communications—0
Reconfigurable Intelligent Surfaces and Machine Learning for Wireless Fingerprinting Localization—0
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean DiscrepancyCode0
COD3S: Diverse Generation with Discrete Semantic SignaturesCode0
Discovery data topology with the closure structure. Theoretical and practical aspects—0
Learning Diverse Options via InfoMax Termination CriticCode0
Site Diversity in Downlink Optical Satellite Networks Through Ground Station Selection—0
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