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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 5601–5650 of 9051 papers

TitleStatusHype
Origin of power laws and their spatial fractal structure for city-size distributions—0
Causal Conceptions of Fairness and their Consequences—0
Fine-grained Activities of People Worldwide—0
Learning an evolved mixture model for task-free continual learning—0
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?—0
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder—0
PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning—0
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution StrategiesCode0
Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia—0
Learning to Diversify for Product Question Generation—0
Mitigating shortage of labeled data using clustering-based active learning with diversity explorationCode0
Vision-and-Language PretrainingCode0
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition—0
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch—0
Anomaly-aware multiple instance learning for rare anemia disorder classificationCode0
Selectively increasing the diversity of GAN-generated samples—0
Recommendation Systems with Distribution-Free Reliability Guarantees—0
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance ObjectiveCode0
Representation Heterogeneity—0
Language statistics at different spatial, temporal, and grammatical scales—0
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer—0
Keeping Less is More: Point Sparsification for Visual SLAM—0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation—0
Resources for Multilingual Hate Speech Detection—0
CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach—0
Educational Multi-Question Generation for Reading ComprehensionCode0
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine TranslationCode0
CSECU-DSG at SemEval-2022 Task 3: Investigating the Taxonomic Relationship Between Two Arguments using Fusion of Multilingual Transformer Models—0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation—0
How do people talk about images? A study on open-domain conversations with images.—0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Non-blind optical degradation correction via frequency self-adaptive and finetune tacticsCode0
Ranking In Generalized Linear BanditsCode0
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member ModelsCode0
SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations—0
A local continuum model of cell-cell adhesion—0
Bengali Common Voice Speech Dataset for Automatic Speech Recognition—0
Modeling Content Creator Incentives on Algorithm-Curated Platforms—0
Transfer learning for ensembles: reducing computation time and keeping the diversity—0
Multifamily Malware Models—0
A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger designCode0
p-Meta: Towards On-device Deep Model Adaptation—0
The Promise of Cross-Species Coexpression Analysis in Studying the Coevolution and Ecology of Host-Symbiont Interactions—0
Unified BERT for Few-shot Natural Language Understanding—0
PSP: Million-level Protein Sequence Dataset for Protein Structure PredictionCode0
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning—0
LED: Latent Variable-based Estimation of Density—0
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems—0
Patient Aware Active Learning for Fine-Grained OCT Classification—0
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