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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 2001–2050 of 9051 papers

TitleStatusHype
Improving End-to-End Sequential Recommendations with Intent-aware DiversificationCode0
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Multilingual State Space Models for Structured Question Answering in Indic LanguagesCode0
Improved Image Segmentation via Cost Minimization of Multiple HypothesesCode0
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug DesignCode0
Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output CodesCode0
Improved Generalization of Weight Space Networks via AugmentationsCode0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain AdaptationCode0
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement LearningCode0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
Importance of Search and Evaluation Strategies in Neural Dialogue ModelingCode0
Implementing Smart Contracts: The case of NFT-rental with pay-per-likeCode0
Implicit neural representations for joint decomposition and registration of gene expression images in the marmoset brainCode0
Importance Weighted Expectation-Maximization for Protein Sequence DesignCode0
Colorful Image ColorizationCode0
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN FrameworkCode0
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in HealthcareCode0
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2nightCode0
Imitation Learning for Sentence Generation with Dilated Convolutions Using Adversarial TrainingCode0
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy LossCode0
Python is Not Always the Best Choice: Embracing Multilingual Program of ThoughtsCode0
Illuminating the Diversity-Fitness Trade-Off in Black-Box OptimizationCode0
Multi-sided Exposure Bias in RecommendationCode0
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial NetworksCode0
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature GenerationCode0
IIITK@LT-EDI-EACL2021: Hope Speech Detection for Equality, Diversity, and Inclusion in Tamil , Malayalam and EnglishCode0
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial NetworksCode0
Multi-trait User Simulation with Adaptive Decoding for Conversational Task AssistantsCode0
IIITT@DravidianLangTech-EACL2021: Transfer Learning for Offensive Language Detection in Dravidian LanguagesCode0
IDIAP_TIET@LT-EDI-ACL2022 : Hope Speech Detection in Social Media using Contextualized BERT with Attention MechanismCode0
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in TransformersCode0
Im2Pencil: Controllable Pencil Illustration from PhotographsCode0
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic ServicesCode0
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement LearningCode0
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-trainingCode0
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion ModelsCode0
Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and PretrainingCode0
IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media commentsCode0
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific DocumentsCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
Negative Training for Neural Dialogue Response GenerationCode0
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI RecommendationCode0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and InclusionCode0
Neural Data Augmentation via Example ExtrapolationCode0
Image Captioning via Dynamic Path CustomizationCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event DetectionCode0
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature FusionCode0
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