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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 4826–4850 of 9051 papers

TitleStatusHype
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
Self-supervised Human Mesh Recovery with Cross-Representation Alignment—0
Towards Diversity-tolerant RDF-storesCode0
Improved Masked Image Generation with Token-Critic—0
Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep NeuroevolutionCode0
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model—0
AARGH! End-to-end Retrieval-Generation for Task-Oriented DialogCode1
FedDAR: Federated Domain-Aware Representation Learning—0
Text-Free Learning of a Natural Language Interface for Pretrained Face GeneratorsCode1
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
ESSYS* Sharing #UC: An Emotion-driven Audiovisual Installation—0
Blessing of Class Diversity in Pre-training—0
Open-Ended Evolution for Minecraft Building Generation—0
Personalized Game Difficulty Prediction Using Factorization Machines—0
Mlphon: A Multifunctional Grapheme-Phoneme Conversion Tool Using Finite State TransducersCode0
The impact of dormancy on evolutionary branching—0
Feature diversity in self-supervised learning—0
IMG2IMU: Translating Knowledge from Large-Scale Images to IMU Sensing Applications—0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection—0
A Small but Informed and Diverse Model: The Case of the Multimodal GuessWhat!? Guessing Game—0
Large-Scale Auto-Regressive Modeling Of Street NetworksCode0
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and MethodCode0
Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles—0
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