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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 2151–2200 of 9051 papers

TitleStatusHype
Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics—0
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story GenerationCode1
Contrastive Learning from Synthetic Audio Doppelgängers—0
Diverse 3D Human Pose Generation in Scenes based on Decoupled Structure—0
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models—0
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal ExamplesCode2
Baking Symmetry into GFlowNets—0
Creativity Has Left the Chat: The Price of Debiasing Language Models—0
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language ModelsCode0
Select-Mosaic: Data Augmentation Method for Dense Small Object ScenesCode0
Tree balance in phylogenetic models—0
Language Guided Skill Discovery—0
Boosting Diffusion Model for Spectrogram Up-sampling in Text-to-speech: An Empirical Study—0
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
HateDebias: On the Diversity and Variability of Hate Speech Debiasing—0
CTSyn: A Foundational Model for Cross Tabular Data Generation—0
DiNeR: a Large Realistic Dataset for Evaluating Compositional GeneralizationCode0
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyCode1
Diversified Batch Selection for Training AccelerationCode1
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition—0
CLoG: Benchmarking Continual Learning of Image Generation ModelsCode1
CityCraft: A Real Crafter for 3D City Generation—0
Bootstrapping Referring Multi-Object TrackingCode1
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks—0
To Distill or Not to Distill? On the Robustness of Robust Knowledge DistillationCode0
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term ModelingCode2
Total-Duration-Aware Duration Modeling for Text-to-Speech Systems—0
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples—0
Quality-Diversity with Limited ResourcesCode0
Diversity in Evolutionary Dynamics—0
Polyhedral Conic Classifier for CTR Prediction—0
Improving Geo-diversity of Generated Images with Contextualized Vendi Score GuidanceCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
Beyond Diagonal RIS-Aided Networks: Performance Analysis and Sectorization Tradeoff—0
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity—0
Data Measurements for Decentralized Data Markets—0
Promoting Fairness and Diversity in Speech Datasets for Mental Health and Neurological Disorders ResearchCode0
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract DescriptionsCode0
Pointer-Guided Pre-Training: Infusing Large Language Models with Paragraph-Level Contextual AwarenessCode0
Hi5: 2D Hand Pose Estimation with Zero Human Annotation—0
Understanding the Limitations of Diffusion Concept Algebra Through Food—0
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language ModelsCode2
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis—0
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection—0
Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding PerspectiveCode1
Interactive Image Selection and Training for Brain Tumor Segmentation Network—0
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN—0
Highway Value Iteration Networks—0
OpenDataLab: Empowering General Artificial Intelligence with Open Datasets—0
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