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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 5251–5275 of 9051 papers

TitleStatusHype
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning—0
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition—0
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural NetworksCode0
New confidence interval methods for Shannon index—0
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research—0
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension—0
Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms—0
Event Transition Planning for Open-ended Text GenerationCode0
FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing FlowCode0
G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-TrainingCode0
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies—0
Diverse Imagenet Models Transfer Better—0
Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled DataCode1
Image Data Augmentation for Deep Learning: A Survey—0
Attributed Graph Clustering with Dual Redundancy ReductionCode1
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport—0
Dynamic Network Adaptation at Inference—0
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint—0
Language-Grounded Indoor 3D Semantic Segmentation in the WildCode1
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network—0
Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition—0
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game LevelsCode1
MiniViT: Compressing Vision Transformers with Weight MultiplexingCode3
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model—0
A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization—0
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