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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 1176–1200 of 9051 papers

TitleStatusHype
F^3OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics—0
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling—0
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code GenerationCode1
Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network—0
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
Retinal Vessel Segmentation via Neuron Programming—0
Affine Frequency Division Multiplexing with Index Modulation: Full Diversity Condition, Performance Analysis, and Low-Complexity Detection—0
Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI—0
Large Language Models as User-Agents for Evaluating Task-Oriented-Dialogue Systems—0
Melanoma Detection with Uncertainty Quantification—0
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning—0
Entropy and type-token ratio in gigaword corpora—0
Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search—0
Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing—0
Quantity versus Diversity: Influence of Data on Detecting EEG Pathology with Advanced ML Models—0
Multi-Perspective Stance DetectionCode0
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs—0
A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQLCode4
Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation—0
PerceiverS: A Multi-Scale Perceiver with Effective Segmentation for Long-Term Expressive Symbolic Music Generation—0
Study on Inter and Intra Speaker Variability in Speaker Recognition—0
Fair Summarization: Bridging Quality and Diversity in Extractive SummariesCode0
Top-nσ: Not All Logits Are You Need—0
Integrating Chaotic Evolutionary and Local Search Techniques in Decision Space for Enhanced Evolutionary Multi-Objective Optimization—0
Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition—0
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