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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 5601–5625 of 9051 papers

TitleStatusHype
Machine Learning in Nuclear Physics—0
Exploratory Data Analysis of Urdu Poetry—0
Data-Free Neural Architecture Search via Recursive Label Calibration—0
Music-to-Dance Generation with Optimal Transport—0
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware CriterionCode1
Evaluator for Emotionally Consistent ChatbotsCode0
Improving Controllability of Educational Question Generation by Keyword Provision—0
Trap of Feature Diversity in the Learning of MLPs—0
Controllable Video Captioning with an Exemplar SentenceCode1
Syntax Customized Video Captioning by Imitating Exemplar SentencesCode0
Intention-based Long-Term Human Motion AnticipationCode0
Multi-Source Cross-Lingual Constituency Parsing—0
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context—0
Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape BlendingCode0
Generating Diverse 3D Reconstructions from a Single Occluded Face ImageCode1
VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and FusionCode1
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts—0
Validation Free and Replication Robust Volume-based Data Valuation—0
Profiling Pareto Front With Multi-Objective Stein Variational Gradient DescentCode1
Adder Attention for Vision TransformerCode0
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum GamesCode1
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior AnalysisCode0
Regularized directional representations for medical image registration—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
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