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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 1101–1125 of 9051 papers

TitleStatusHype
ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid MotionsCode1
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot FillingCode1
CamContextI2V: Context-aware Controllable Video GenerationCode1
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin TonesCode1
Data Curation Alone Can Stabilize In-context LearningCode1
General and Task-Oriented Video SegmentationCode1
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time seriesCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
Barcode Method for Generative Model Evaluation driven by Topological Data AnalysisCode1
Can LLMs Patch Security Issues?Code1
Can pre-trained models assist in dataset distillation?Code1
Generating Highly Designable Proteins with Geometric Algebra Flow MatchingCode1
Generating Object StampsCode1
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
Generative Adversarial Graph Convolutional Networks for Human Action SynthesisCode1
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation FrameworkCode1
Batched Bayesian optimization by maximizing the probability of including the optimumCode1
BlendX: Complex Multi-Intent Detection with Blended PatternsCode1
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face GenerationCode1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
Generative Modeling in Structural-Hankel Domain for Color Image InpaintingCode1
Adaptively Sparse TransformersCode1
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live ImagesCode1
BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningCode1
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