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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 676–700 of 9051 papers

TitleStatusHype
APOLLO: An Optimized Training Approach for Long-form Numerical ReasoningCode1
DirectMultiStep: Direct Route Generation for Multi-Step RetrosynthesisCode1
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier ExamplesCode1
Controlling Behavioral Diversity in Multi-Agent Reinforcement LearningCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Distributed speech separation in spatially unconstrained microphone arraysCode1
An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue GenerationCode1
DivClust: Controlling Diversity in Deep ClusteringCode1
DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial NetworkCode1
Cooperative Open-ended Learning Framework for Zero-shot CoordinationCode1
Diverse and Admissible Trajectory Forecasting through Multimodal Context UnderstandingCode1
Advancing Fine-Grained Classification by Structure and Subject Preserving AugmentationCode1
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline GenerationCode1
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative GenerationCode1
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksCode1
An Optimistic Perspective on Offline Deep Reinforcement LearningCode1
Diverse Image Captioning with Context-Object Split Latent SpacesCode1
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT ImagesCode1
Diverse Policy Optimization for Structured Action SpaceCode1
Diverse Video Generation using a Gaussian Process TriggerCode1
Diverse Weight Averaging for Out-of-Distribution GeneralizationCode1
Diversified Batch Selection for Training AccelerationCode1
Diversified in-domain synthesis with efficient fine-tuning for few-shot classificationCode1
Diversifying Dialog Generation via Adaptive Label SmoothingCode1
DeepFacePencil: Creating Face Images from Freehand SketchesCode1
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