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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 7951–8000 of 9051 papers

TitleStatusHype
Dance Generation by Sound Symbolic Words—0
Corporate Social Responsibility and Corporate Governance: A cognitive approach—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
Coronary Heart Disease Diagnosis Based on Improved Ensemble Learning—0
Adversarial Text-to-Image Synthesis: A Review—0
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
Coreset Selection for Object Detection—0
DarkBERT: A Language Model for the Dark Side of the Internet—0
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence—0
Coreference in Spoken vs. Written Texts: a Corpus-based Analysis—0
DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification—0
Coreference Chains Categorization by Sequence Clustering—0
CORD: Generalizable Cooperation via Role Diversity—0
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution—0
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes—0
Data Augmentation for Image Classification using Generative AI—0
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants—0
Data Augmentation for Neural Machine Translation using Generative Language Model—0
Data Augmentation for Opcode Sequence Based Malware Detection—0
Data Augmentation for Seizure Prediction with Generative Diffusion Model—0
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities—0
Data Augmentation in Earth Observation: A Diffusion Model Approach—0
Copy-Paste Image Augmentation with Poisson Image Editing for Ultrasound Instance Segmentation Learning—0
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling—0
Data Augmentation with Adversarial Training for Cross-Lingual NLI—0
Data-Aware Device Scheduling for Federated Edge Learning—0
Data center top of rack switch to multiple spine switches optical wireless uplinks—0
Data-Centric Long-Tailed Image Recognition—0
Data Collection and Labeling Techniques for Machine Learning—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Data Dieting in GAN Training—0
Data Distributional Properties As Inductive Bias for Systematic Generalization—0
Data Diversity Matters for Robust Instruction Tuning—0
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules—0
Data-Driven Discovery of Functional Cell Types that Improve Models of Neural Activity—0
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods—0
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing—0
Techniques for supercharging academic writing with generative AI—0
Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing—0
Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization—0
Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction—0
Adversarial Robustness through Dynamic Ensemble Learning—0
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy—0
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective—0
Data-Free Distillation of Language Model by Text-to-Text Transfer—0
Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help—0
Superpixel-based Color Transfer—0
Data-Free Neural Architecture Search via Recursive Label Calibration—0
Superposition-Assisted Stochastic Optimization for Hawkes Processes—0
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study—0
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