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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 8501–8550 of 9051 papers

TitleStatusHype
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors—0
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World—0
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendations—0
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization—0
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions—0
Automatic Generation of News Comments Based on Gated Attention Neural Networks—0
Feedforward Architectures Driven by Inhibitory Interactions—0
Pseudo-positive regularization for deep person re-identification—0
Image Registration of Very Large Images via Genetic Programming—0
Systems, Actors and Agents: Operation in a multicomponent environment—0
Orbital-angular-momentum mode-group multiplexed transmission over a graded-index ring-core fiber based on receive diversity and maximal ratio combining—0
Exploiting ConvNet Diversity for Flooding IdentificationCode0
A Classification-Based Study of Covariate Shift in GAN Distributions—0
A Novel Ensemble Learning Approach to Unsupervised Record Linkage—0
Diversifying Neural Conversation Model with Maximal Marginal Relevance—0
Domain-Adaptable Hybrid Generation of RDF Entity Descriptions—0
Characterizing the structural diversity of complex networks across domains—0
Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss GermanCode0
Complete 3D Scene Parsing from an RGBD ImageCode0
Widespread bursts of diversification in microbial phylogenies—0
BENCHIP: Benchmarking Intelligence Processors—0
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New LanguagesCode0
AdaDNNs: Adaptive Ensemble of Deep Neural Networks for Scene Text Recognition—0
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and BeyondCode0
Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion LexiconCode0
Visual Reasoning with Natural Language—0
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes—0
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN FrameworkCode0
Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks—0
Dataset for the First Evaluation on Chinese Machine Reading ComprehensionCode0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications—0
Social Style Characterization from Egocentric Photo-streams—0
Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue—0
Bayesian support for Evolution: detecting phylogenetic signal in a subset of the primate family—0
Query Completion Using Bandits for Engines Aggregation—0
Workflow Complexity for Collaborative Interactions: Where are the Metrics? -- A Challenge—0
Image Matching: An Application-oriented Benchmark—0
The Diverse Cohort Selection ProblemCode0
Opposition based Ensemble Micro Differential Evolution—0
Towards high-throughput 3D insect capture for species discovery and diagnostics—0
Exploring and Exploiting Diversity for Image Segmentation—0
Towards social pattern characterization in egocentric photo-streams—0
Unity in Diversity: A Unified Parsing Strategy for Major Indian Languages—0
Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts—0
Neural Response Generation via GAN with an Approximate Embedding Layer—0
Affinity-Preserving Random Walk for Multi-Document Summarization—0
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions—0
Multi-modular domain-tailored OCR post-correction—0
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs—0
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