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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 1651–1675 of 9051 papers

TitleStatusHype
Fine-Grained Representation Learning via Multi-Level Contrastive Learning without Class PriorsCode0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
A high-accuracy multi-model mixing retrosynthetic method—0
Multi-Modal Diffusion for Hand-Object Grasp GenerationCode0
Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak—0
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets—0
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detection—0
Memory-Optimized Once-For-All NetworkCode0
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality DataCode1
HUMOS: Human Motion Model Conditioned on Body ShapeCode1
Planning In Natural Language Improves LLM Search For Code GenerationCode1
SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model—0
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment ClassificationCode0
LLM-based multi-agent poetry generation in non-cooperative environmentsCode0
MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor SegmentationCode0
Rethinking HTG Evaluation: Bridging Generation and RecognitionCode1
Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling—0
Empirical evidence of Large Language Model's influence on human spoken communication—0
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world VideosCode5
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation—0
Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics—0
SCOPE: Sign Language Contextual Processing with Embedding from LLMsCode0
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
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