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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 7551–7600 of 9051 papers

TitleStatusHype
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical ExamplesCode0
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language ModelsCode0
Scene Text Detection with Supervised Pyramid Context NetworkCode0
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity MetricsCode0
Is ChatGPT A Good Keyphrase Generator? A Preliminary StudyCode0
Is Depth All You Need? An Exploration of Iterative Reasoning in LLMsCode0
Insect Identification in the Wild: The AMI DatasetCode0
A hybrid ensemble method with negative correlation learning for regressionCode0
Is Feature Diversity Necessary in Neural Network Initialization?Code0
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance SamplingCode0
Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated CodesCode0
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR PredictionCode0
Is It Navajo? Accurate Language Detection in Endangered Athabaskan LanguagesCode0
Is Limited Participant Diversity Impeding EEG-based Machine Learning?Code0
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?Code0
InsBank: Evolving Instruction Subset for Ongoing AlignmentCode0
Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in KinshipCode0
Out-Of-Distribution Detection with Diversification (Provably)Code0
Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and DivergenceCode0
Abusive Language Recognition in RussianCode0
Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired ConstraintsCode0
Is there a robust effect of mainland mutualism rates on species richness of oceanic islands?Code0
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-DiversityCode0
Active Learning for Abstractive Text SummarizationCode0
Input-gradient space particle inference for neural network ensemblesCode0
Enhancing Robustness of AI Offensive Code Generators via Data AugmentationCode0
Enhancing Relation Extraction Using Syntactic Indicators and Sentential ContextsCode0
Boosting Deep Ensemble Performance with Hierarchical PruningCode0
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmCode0
BOLD5000: A public fMRI dataset of 5000 imagesCode0
DAOC: Stable Clustering of Large NetworksCode0
Iterative Graph AlignmentCode0
Block Flow: Learning Straight Flow on Data BlocksCode0
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and MethodCode0
INGB: Informed Nonlinear Granular Ball Oversampling Framework for Noisy Imbalanced ClassificationCode0
SCOPE-DTI: Semi-Inductive Dataset Construction and Framework Optimization for Practical Usability Enhancement in Deep Learning-Based Drug Target Interaction PredictionCode0
Jacquard: A Large Scale Dataset for Robotic Grasp DetectionCode0
PacGAN: The power of two samples in generative adversarial networksCode0
Information-Theoretic Active Learning for Content-Based Image RetrievalCode0
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language ModelsCode0
SCOPE: Sign Language Contextual Processing with Embedding from LLMsCode0
Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial AttacksCode0
Intention-based Long-Term Human Motion AnticipationCode0
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic lossCode0
PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary AlgorithmsCode0
Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain EnvironmentsCode0
Dank Learning: Generating Memes Using Deep Neural NetworksCode0
Enhancing Molecular Property Prediction via Mixture of Collaborative ExpertsCode0
BLESS: Benchmarking Large Language Models on Sentence SimplificationCode0
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