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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 8601–8650 of 9051 papers

TitleStatusHype
Snapshot Difference Imaging using Time-of-Flight Sensors—0
Gradient Estimators for Implicit ModelsCode0
Learning to Identify Ambiguous and Misleading News Headlines—0
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programmingCode0
Quality and Diversity Optimization: A Unifying Modular FrameworkCode0
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms—0
Discrete Modeling of Multi-Transmitter Neural Networks with Neuron CompetitionCode0
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity—0
Query-adaptive Video Summarization via Quality-aware Relevance EstimationCode0
Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s)—0
Topologically Robust 3D Shape Matching via Gradual Deflation and Inflation—0
Active Collaborative Ensemble Tracking—0
Mostly Exploration-Free Algorithms for Contextual BanditsCode0
Action Understanding with Multiple Classes of Actors—0
Genealogical Distance as a Diversity Estimate in Evolutionary Algorithms—0
Pruning variable selection ensembles—0
Diversity driven Attention Model for Query-based Abstractive SummarizationCode0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—0
Ranking with Fairness ConstraintsCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection—0
Discovering Evolutionary Stepping Stones through Behavior Domination—0
A Search for Improved Performance in Regular Expressions—0
Detecting Visual Relationships with Deep Relational NetworksCode0
Basic Formal Properties of A Relational Model of The Mathematical Theory of Evidence—0
A Unified Multi-Faceted Video Summarization System—0
Using Coreference Links to Improve Spanish-to-English Machine TranslationCode0
Online Automatic Post-editing for MT in a Multi-Domain Translation Environment—0
BEGAN: Boundary Equilibrium Generative Adversarial NetworksCode0
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational AutoencodersCode0
Diversity of preferences can increase collective welfare in sequential exploration problems—0
Adversarial Transformation Networks: Learning to Generate Adversarial ExamplesCode0
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific QuantificationCode0
Recurrent and Contextual Models for Visual Question Answering—0
Random Features for Compositional Kernels—0
Insular microbiogeography—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial NetworkCode1
Aggregation of Classifiers: A Justifiable Information Granularity Approach—0
Detecting Sockpuppets in Deceptive Opinion Spam—0
Tree-Structured Reinforcement Learning for Sequential Object Localization—0
SRN: Side-output Residual Network for Object Symmetry Detection in the WildCode0
Computational Eco-Systems for Handwritten Digits Recognition—0
Activation Maximization Generative Adversarial NetsCode0
Diversified Texture Synthesis with Feed-forward Networks—0
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels—0
Phylogenetic Tools in Astrophysics—0
Remote Sensing Image Scene Classification: Benchmark and State of the ArtCode1
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and ComparisonCode0
Characterization of phase transitions in a model ecosystem of sessile species—0
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