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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 5251–5300 of 9051 papers

TitleStatusHype
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning—0
SetGAN: Improving the stability and diversity of generative models through a permutation invariant architecture—0
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning—0
SFLD: Reducing the content bias for AI-generated Image Detection—0
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation—0
Shannon information criterion for low-high diversity transition in Moran and Voter models—0
Shannon Mutual Information Applied to Genetic Systems—0
Multimodal Shape Completion via IMLE—0
Shared optical wireless cells for in-cabin aircraft links—0
Sharpness-Aware Minimization in Genetic Programming—0
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance—0
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
Shifting the ISAC Trade-Off with Fluid Antenna Systems—0
Shilling Black-box Review-based Recommender Systems through Fake Review Generation—0
Mitigating Shortcut Learning with Diffusion Counterfactuals and Diverse Ensembles—0
Shortcuts for causal discovery of nonlinear models by score matching—0
Short-Packet Communications for MIMO NOMA Systems over Nakagami-m Fading: BLER and Minimum Blocklength Analysis—0
Should attention be all we need? The epistemic and ethical implications of unification in machine learning—0
Should XAI Nudge Human Decisions with Explanation Biasing?—0
SIGMORPHON 2021 Shared Task on Morphological Reinflection: Generalization Across Languages—0
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling—0
SigVIC: Spatial Importance Guided Variable-Rate Image Compression—0
SiLK: Simple Learned Keypoints—0
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation—0
Sim2real transfer learning for 3D human pose estimation: motion to the rescue—0
SimGen: Simulator-conditioned Driving Scene Generation—0
SimHumalator: An Open Source WiFi Based Passive Radar Human Simulator For Activity Recognition—0
Similarity-based Learning via Data Driven Embeddings—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Similarity of Information and Collective Action—0
Similarity of Neural Architectures using Adversarial Attack Transferability—0
Simon @ LT-EDI-EACL2021: Detecting Hope Speech with BERT—0
Simple Regularisation for Uncertainty-Aware Knowledge Distillation—0
SimpleStrat: Diversifying Language Model Generation with Stratification—0
Simultaneously Learning Architectures and Features of Deep Neural Networks—0
Simultaneous Multiple-Prompt Guided Generation Using Differentiable Optimal Transport—0
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach—0
SimVQA: Exploring Simulated Environments for Visual Question Answering—0
Since the Scientific Literature Is Multilingual, Our Models Should Be Too—0
Single-Antenna-Based GPS Antijamming Method Exploiting Polarization Diversity—0
Single-Cell Capsule Attention : an interpretable method of cell type classification for single-cell RNA-sequencing data—0
Single Domain Dynamic Generalization for Iris Presentation Attack Detection—0
Single Domain Generalization with Adversarial Memory—0
Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance—0
Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation—0
Single-Shot Phase Diversity Wavefront Sensing in Deep Turbulence via Metasurface Optics—0
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data—0
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene—0
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation—0
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