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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 7201–7250 of 9051 papers

TitleStatusHype
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement—0
Relay Assisted OFDM with Subcarrier Number Modulation in Multi-Hop Cooperative Networks—0
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback—0
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Ultra-Wideband Antenna with MIMO Diversity for 5G Wireless Communication—0
Improving auto-encoder novelty detection using channel attention and entropy minimization—0
Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks—0
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach—0
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation—0
Abstractive and mixed summarization for long-single documents—0
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?Code0
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic SystemsCode0
On the Importance of Diversity in Question Generation for QA—0
Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era—0
A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents—0
Exploring Model Consensus to Generate Translation ParaphrasesCode0
More Diverse Dialogue Datasets via Diversity-Informed Data Collection—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning—0
Meeting the 2020 Duolingo Challenge on a Shoestring—0
How to Ask Good Questions? Try to Leverage Paraphrases—0
Paraphrase Generation by Learning How to Edit from Samples—0
Language-aware Interlingua for Multilingual Neural Machine Translation—0
Training and Inference Methods for High-Coverage Neural Machine Translation—0
Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task—0
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs—0
Long-Tail Predictions with Continuous-Output Language Models—0
Multi-sided Exposure Bias in RecommendationCode0
Design and Performance Analysis of a New STBC-MIMO LoRa System—0
Open Domain Suggestion Mining Leveraging Fine-Grained Analysis—0
Self-Segregating and Coordinated-Segregating Transformer for Focused Deep Multi-Modular Network for Visual Question Answering—0
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes—0
Preventing Value Function Collapse in Ensemble Q-Learning by Maximizing Representation Diversity—0
Hyperparameter Ensembles for Robustness and Uncertainty QuantificationCode0
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study—0
Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator—0
A Parameterized Family of Meta-Submodular Functions—0
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportCode0
SWAG: A Wrapper Method for Sparse Learning—0
A blindspot of AI ethics: anti-fragility in statistical prediction—0
Wavelet Classification for Over-the-Air Non-Orthogonal Waveforms—0
On the Theory of Transfer Learning: The Importance of Task Diversity—0
Improving Query Safety at Pinterest—0
Semi-Discriminative Representation Loss for Online Continual LearningCode0
Extraction and Evaluation of Formulaic Expressions Used in Scholarly Papers—0
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial ExamplesCode0
On the Robustness of Active Learning—0
Learning High-Resolution Domain-Specific Representations with a GAN Generator—0
The Bures Metric for Generative Adversarial Networks—0
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