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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 7251–7300 of 9051 papers

TitleStatusHype
A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime—0
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization—0
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration—0
Geodesic-HOF: 3D Reconstruction Without Cutting Corners—0
Towards control of opinion diversity by introducing zealots into a polarised social groupCode0
Attribute analysis with synthetic dataset for person re-identification—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL—0
Learning Diverse Representations for Fast Adaptation to Distribution Shift—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL—0
Mental Workload and Language Production in Non-Native Speaker IPA Interaction—0
Hypergraph Clustering for Finding Diverse and Experienced GroupsCode0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Ethical Considerations and Statistical Analysis of Industry Involvement in Machine Learning Research—0
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—0
EDCompress: Energy-Aware Model Compression for Dataflows—0
Optimally Combining Classifiers for Semi-Supervised LearningCode0
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation—0
Skill Discovery of Coordination in Multi-agent Reinforcement Learning—0
An Interference-Free Filter-Bank Multicarrier System Applicable for MIMO Channels—0
Enhancing Facial Data Diversity with Style-based Face Aging—0
Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation—0
Prague Dependency Treebank -- Consolidated 1.0—0
The Importance of Open-Endedness (for the Sake of Open-Endedness)—0
An Improved LSHADE-RSP Algorithm with the Cauchy Perturbation: iLSHADE-RSP—0
Nested Scale Editing for Conditional Image Synthesis—0
From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning—0
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Distribution Aligned Multimodal and Multi-Domain Image Stylization—0
Transforming Multi-Concept Attention into Video Summarization—0
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient ExplorationCode0
Learning Unseen Concepts via Hierarchical Decomposition and Composition—0
Nested Scale-Editing for Conditional Image Synthesis—0
TA-Student VQA: Multi-Agents Training by Self-Questioning—0
Progressive Mirror Detection—0
Fast Texture Synthesis via Pseudo OptimizerCode0
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation—0
Local Implicit Grid Representations for 3D Scenes—0
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition—0
Exploiting Joint Robustness to Adversarial Perturbations—0
CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic RoutingCode0
Study on Patterns and Effect of Task Diversity in Software Crowdsourcing—0
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing—0
Tracking, exploring and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus Analysis and cOWIDplus Viewer—0
Reconfigurable Intelligent Surface-Aided Grant-Free Access for Uplink URLLC—0
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce—0
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting—0
Discriminative Active Learning for Domain Adaptation—0
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition—0
Novel Policy Seeking with Constrained OptimizationCode0
Feature Statistics Guided Efficient Filter Pruning—0
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