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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 7226–7250 of 9051 papers

TitleStatusHype
Informed Sampling for Diversity in Concept-to-Text NLG—0
Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization—0
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents—0
Meta-Learning for Few-Shot Land Cover Classification—0
Time Series Forecasting With Deep Learning: A Survey—0
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in HanabiCode0
Deflating Dataset Bias Using Synthetic Data Augmentation—0
Evaluating Stochastic Rankings with Expected Exposure—0
Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control—0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—0
Single- and Multi-Objective Evolutionary Algorithms for the Knapsack Problem with Dynamically Changing Constraints—0
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Realization of MIMO Channel Model for Spatial Diversity with Capacity and SNR Multiplexing Gains—0
New Protocols and Negative Results for Textual Entailment Data CollectionCode1
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts—0
Self-Organized Operational Neural Networks with Generative NeuronsCode1
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band—0
Multi-Objective Counterfactual ExplanationsCode1
Performance Analysis of Novel Direct Access Schemes for LEO Satellites Based IoT Network—0
Trading Off Diversity and Quality in Natural Language Generation—0
Yoga-82: A New Dataset for Fine-grained Classification of Human PosesCode0
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent—0
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation—0
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