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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 5451–5500 of 9051 papers

TitleStatusHype
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple SizesCode0
Federated Stain Normalization for Computational PathologyCode0
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis—0
Revisiting Few-Shot Learning from a Causal PerspectiveCode0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
Mutation Effect Generalizability under Selection-Drift—0
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsCode0
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-LearningCode0
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models—0
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding—0
Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation—0
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation—0
Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation—0
Multiple-Choice Question Generation: Towards an Automated Assessment Framework—0
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language ModelCode0
Prompting for a conversation: How to control a dialog model?—0
Counterfactual Explanations Using Optimization With Constraint LearningCode0
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation—0
Language Varieties of Italy: Technology Challenges and Opportunities—0
Fairness on Synthetic Visual and Thermal Mask Images—0
Perception-Distortion Trade-off in the SR Space Spanned by Flow Models—0
Graph-Based Active Machine Learning Method for Diverse and Novel Antimicrobial Peptides Generation and Selection—0
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances—0
RADio -- Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations—0
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic—0
Non-Parallel Voice Conversion for ASR Augmentation—0
Distribution Aware Metrics for Conditional Natural Language Generation—0
Application of Liquid Rank Reputation System for Content Recommendation—0
vec2text with Round-Trip Translations—0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition—0
MDM: Molecular Diffusion Model for 3D Molecule Generation—0
Style Variable and Irrelevant Learning for Generalizable Person Re-identificationCode0
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes—0
Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage—0
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis—0
Towards Diversity-tolerant RDF-storesCode0
Self-supervised Human Mesh Recovery with Cross-Representation Alignment—0
Improved Masked Image Generation with Token-Critic—0
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model—0
FedDAR: Federated Domain-Aware Representation Learning—0
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep NeuroevolutionCode0
ESSYS* Sharing #UC: An Emotion-driven Audiovisual Installation—0
Blessing of Class Diversity in Pre-training—0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
Open-Ended Evolution for Minecraft Building Generation—0
Personalized Game Difficulty Prediction Using Factorization Machines—0
The impact of dormancy on evolutionary branching—0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
Feature diversity in self-supervised learning—0
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications—0
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