SOTAVerified

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 6901–6950 of 9051 papers

TitleStatusHype
A Niching Indicator-Based Multi-modal Many-objective Optimizer—0
Angle Sensitive Pixels for Lensless Imaging on Spherical Sensors—0
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains—0
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention—0
Angle Diversity Trasmitter For High Speed Data Center Uplink Communications—0
Real-Time Hair Rendering using Sequential Adversarial Networks—0
Real-Time Visual Analysis of High-Volume Social Media Posts—0
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting—0
Angle diversity receiver as a key enabler for reliable ORIS-based Visible Light Communication—0
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem—0
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains—0
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training—0
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management—0
Recent advances and opportunities in scene classification of aerial images with deep models—0
Recent Advances in Diversified Recommendation—0
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark—0
An Explainable Deep Learning Framework for Brain Stroke and Tumor Progression via MRI Interpretation—0
Channel State Acquisition in Uplink NOMA for Cellular-Connected UAV: Exploitation of Doppler and Modulation Diversities—0
An Experimental Prototype for Multistatic Asynchronous ISAC—0
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI—0
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution—0
Recognition of non-domain phrases in automatically extracted lists of terms—0
Recognizing long-form speech using streaming end-to-end models—0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
Recommendation Systems with Distribution-Free Reliability Guarantees—0
Recommenders with a mission: assessing diversity in newsrecommendations—0
Recommending Accurate and Diverse Items Using Bilateral Branch Network—0
Recommending on graphs: a comprehensive review from a data perspective—0
Reconciling Semantic Controllability and Diversity for Remote Sensing Image Synthesis with Hybrid Semantic Embedding—0
Reconciling the accuracy-diversity trade-off in recommendations—0
Reconfigurable Heterogeneous Parallel Island Models—0
Reconfigurable Holographic Surface-aided Distributed MIMO Radar Systems—0
Reconfigurable Holographic Surface: A New Paradigm to Implement Holographic Radio—0
Reconfigurable Intelligent Surface-Aided Grant-Free Access for Uplink URLLC—0
Reconfigurable Intelligent Surface Aided NOMA Networks—0
Reconfigurable Intelligent Surface-assisted Networks: Phase Alignment Categories—0
Reconfigurable Intelligent Surfaces and Machine Learning for Wireless Fingerprinting Localization—0
Reconstructing Objects in-the-wild for Realistic Sensor Simulation—0
Reconstructing seen images from human brain activity via guided stochastic search—0
Reconstructing Word Embeddings via Scattered k-Sub-Embedding—0
RECOST: External Knowledge Guided Data-efficient Instruction Tuning—0
Recoverability of Ancestral Recombination Graph Topologies—0
Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components—0
Rectified Flow For Structure Based Drug Design—0
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation—0
Recurrent and Contextual Models for Visual Question Answering—0
Unsupervised Multi-document Summarization with Holistic Inference—0
Recurring Concept Meta-learning for Evolving Data Streams—0
Widely-distributed Radar Imaging Based on Consensus ADMM—0
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization—0
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