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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 2701–2725 of 9051 papers

TitleStatusHype
Unity by Diversity: Improved Representation Learning in Multimodal VAEsCode1
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement LearningCode0
Attempt Towards Stress Transfer in Speech-to-Speech Machine Translation—0
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks—0
A New Benchmark for Evaluating Automatic Speech Recognition in the Arabic Call Domain—0
Greater than the sum of its parts: The role of minority and majority status in collaborative problem-solving communication—0
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset—0
Cultural-Aware AI Model for Emotion RecognitionCode0
Measuring Diversity in Co-creative Image Generation—0
Probabilistic Topic Modelling with Transformer RepresentationsCode1
Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms—0
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN—0
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training—0
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-TrainingCode2
Diffusion on language model encodings for protein sequence generation—0
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering—0
A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data SetsCode0
Adaptive Discovering and Merging for Incremental Novel Class Discovery—0
TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace OperationsCode1
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal DatasetsCode0
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual FidelityCode1
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation—0
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection—0
IndicVoices: Towards building an Inclusive Multilingual Speech Dataset for Indian Languages—0
Language and Speech Technology for Central Kurdish VarietiesCode1
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