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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 3851–3900 of 9051 papers

TitleStatusHype
Fundamentals of Task-Agnostic Data Valuation—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
EXPLOITING SEMANTIC COHERENCE TO IMPROVE PREDICTION IN SATELLITE SCENE IMAGE ANALYSIS: APPLICATION TO DISEASE DENSITY ESTIMATION—0
Fuzzy adaptive teaching learning-based optimization strategy for the problem of generating mixed strength t-way test suites—0
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization—0
Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis—0
GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure—0
GAIA: Zero-shot Talking Avatar Generation—0
GaitGCI: Generative Counterfactual Intervention for Gait Recognition—0
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning—0
Galaxy Image Simulation Using Progressive GANs—0
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Exploiting Knowledge Distillation for Few-Shot Image Generation—0
Exploiting Joint Robustness to Adversarial Perturbations—0
GameVibe: A Multimodal Affective Game Corpus—0
Gamification Platform for Collecting Task-oriented Dialogue Data—0
GAMMT: Generative Ambiguity Modeling Using Multiple Transformers—0
GAN based ball screw drive picture database enlargement for failure classification—0
Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems—0
Exploiting Feature Diversity for Make-up Temporal Video Grounding—0
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning—0
Comprehensive Annotation of Multiword Expressions in a Social Web Corpus—0
GANStrument: Adversarial Instrument Sound Synthesis with Pitch-invariant Instance Conditioning—0
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue—0
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models—0
Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling—0
GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks—0
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection—0
Exploiting Angular Multiplexing for Polarization-diversity in Off-axis Digital Holography—0
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition—0
Gaussian Affinity for Max-Margin Class Imbalanced Learning—0
Compositional Operators in Distributional Semantics—0
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models—0
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences—0
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images—0
Compositional Fine-Grained Low-Shot Learning—0
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
Explaining Search Result Stances to Opinionated People—0
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems—0
Agricultural Economics and Innovation in the Inca Empire—0
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets—0
Active Inference and Human--Computer Interaction—0
EXPLAIN, AGREE, LEARN: Scaling Learning for Neural Probabilistic Logic—0
Compositional diversity in visual concept learning—0
Expert-Guided Symmetry Detection in Markov Decision Processes—0
ExpertGenQA: Open-ended QA generation in Specialized Domains—0
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization—0
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