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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 5876–5900 of 9051 papers

TitleStatusHype
Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks—0
Stylistic Retrieval-based Dialogue System with Unparallel Training Data—0
Illuminating Diverse Neural Cellular Automata for Level GenerationCode1
Towards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation SchemesCode0
Contrastive Quantization with Code Memory for Unsupervised Image RetrievalCode1
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural NetworkCode0
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints—0
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activityCode1
Follow the guides: disentangling human and algorithmic curation in online music consumption—0
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and TrackingCode2
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects—0
Active Learning by Acquiring Contrastive ExamplesCode1
Mixup Decoding for Diverse Machine Translation—0
Scaled ReLU Matters for Training Vision Transformers—0
Quality-Diversity Meta-Evolution: customising behaviour spaces to a meta-objectiveCode0
FaceCook: Face Generation Based on Linear Scaling Factors—0
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks—0
NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers—0
A Scalable AI Approach for Clinical Trial Cohort Optimization—0
Niche differentiation in the light spectrum promotes coexistence of phytoplankton species: a spatial modelling approach—0
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented GuesserCode0
VARGAN: Variance Enforcing Network Enhanced GAN—0
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation ApproachCode1
Resource and data efficient self supervised learning—0
Regional Adversarial Training for Better Robust Generalization—0
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