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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

Showing 45264550 of 9051 papers

TitleStatusHype
Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies0
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables0
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss0
Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning0
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining0
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers0
Unsupervised Multi-document Summarization with Holistic Inference0
Sparse Codesigned Communication and Radar Systems0
ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation0
Behind Recommender Systems: the Geography of the ACM RecSys CommunityCode0
Projections of Economic Impacts of Climate Change on Marine Protected Areas: Palau, the Great Barrier Reef, and the Bering Sea0
Bilevel Scheduled Sampling for Dialogue Generation0
Local Padding in Patch-Based GANs for Seamless Infinite-Sized Texture SynthesisCode0
Aggregating Correlated Estimations with (Almost) no Training0
DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion0
What are Public Concerns about ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You0
Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning0
MDSC: Towards Evaluating the Style Consistency Between Music and DanceCode0
Balancing exploration and exploitation phases in whale optimization algorithm: an insightful and empirical analysis0
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction0
AdLER: Adversarial Training with Label Error Rectification for One-Shot Medical Image SegmentationCode0
Exploring the Robustness of Human Parsers Towards Common Corruptions0
Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information0
Fine-Grained Spatiotemporal Motion Alignment for Contrastive Video Representation LearningCode0
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy LearningCode0
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