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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 3601–3650 of 9051 papers

TitleStatusHype
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Faster and Smarter AutoAugment: Augmentation Policy Search Based on Dynamic Data-Clustering—0
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity—0
Fast inverse lithography based on a model-driven block stacking convolutional neural network—0
Fast Re-Optimization via Structural Diversity—0
As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity—0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
Fatal errors and misuse of mathematics in the Hong-Page Theorem and Landemore's epistemic argument—0
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features—0
Fault Detection in Mobile Networks Using Diffusion Models—0
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition—0
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting—0
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs—0
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations—0
A Holistic Evaluation of Piano Sound Quality—0
Active Learning for Lane Detection: A Knowledge Distillation Approach—0
Exploring the Law of Numbers: Evidence from China's Real Estate—0
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation—0
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction—0
Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems—0
Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models—0
Feature diversity in self-supervised learning—0
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification—0
Feature Extraction via Recurrent Random Deep Ensembles and its Application in Gruop-level Happiness Estimation—0
Feature Fusion Detector for Semantic Cognition of Remote Sensing—0
Exploring the Feature Space of TSP Instances Using Quality Diversity—0
Conceptual Mapping of Controversies—0
Feature Selection Based on Term Frequency and T-Test for Text Categorization—0
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification—0
Exploring the Efficacy of Meta-Learning: Unveiling Superior Data Diversity Utilization of MAML Over Pre-training—0
Feature Statistics Guided Efficient Filter Pruning—0
Feature Weighted Non-negative Matrix Factorization—0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment—0
FedAvgen: Metadata for Model Aggregation In Communication Systems—0
Conceptual Content in Deep Convolutional Neural Networks: An analysis into multi-faceted properties of neurons—0
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task—0
FedDAR: Federated Domain-Aware Representation Learning—0
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning—0
Conceptual capacity and effective complexity of neural networks—0
Federated Data Model—0
Federated Learning Empowered by Generative Content—0
Federated Learning for Emoji Prediction in a Mobile Keyboard—0
A high fidelity synthetic face framework for computer vision—0
Federated Learning Meets Fluid Antenna: Towards Robust and Scalable Edge Intelligence—0
Federated Learning for Personalized Humor Recognition—0
Exploring the Design Space of Diffusion Bridge Models via Stochasticity Control—0
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