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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 3501–3550 of 9051 papers

TitleStatusHype
Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction—0
Exploring the Law of Numbers: Evidence from China's Real Estate—0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection—0
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs—0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Diversify and Conquer: Bandits and Diversity for an Enhanced E-commerce Homepage Experience—0
As long as you talk about me: The importance of family firm brands and the contingent role of family-firm identity—0
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search—0
Diversified Visual Attention Networks for Fine-Grained Object Classification—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy—0
Exploring Transformer-Based Music Overpainting for Jazz Piano Variations—0
Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Exploring Wikipedia Gender Diversity Over Time x2013 The Wikipedia Gender Dashboard (WGD)—0
Diversified Texture Synthesis with Feed-forward Networks—0
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction—0
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes—0
Diversified Sampling Improves Scaling LLM inference—0
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes—0
Extending a Tag-based Collaborative Recommender with Co-occurring Information Interests—0
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model—0
Extracting Signals of Higgs Boson From Background Noise Using Deep Neural Networks—0
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers—0
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses—0
DivSwapper: Towards Diversified Patch-based Arbitrary Style Transfer—0
Extractive Financial Narrative Summarisation based on DPPs—0
Diversified Mutual Learning for Deep Metric Learning—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology—0
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
F^3OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
FABRA: French Aggregator-Based Readability Assessment toolkit—0
Diversified Multiscale Graph Learning with Graph Self-Correction—0
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization—0
FaceCook: Face Generation Based on Linear Scaling Factors—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
Diversified Late Acceptance Search—0
FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis—0
FaceFormer: Scale-aware Blind Face Restoration with Transformers—0
ConfigTron: Tackling network diversity with heterogeneous configurations—0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator—0
Facets of Fairness in Search and Recommendation—0
Bootstrapping NLP tools across low-resourced African languages: an overview and prospects—0
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