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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 3851–3900 of 9051 papers

TitleStatusHype
Personalized Elastic Embedding Learning for On-Device Recommendation—0
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text GenerationCode0
FALL-E: A Foley Sound Synthesis Model and StrategiesCode1
Understanding Deep Generative Models with Generalized Empirical LikelihoodsCode1
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search—0
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High DimensionsCode0
Differentiable Instruction Optimization for Cross-Task GeneralizationCode0
The Core & Periphery Hypothesis: A Conceptual Basis for Generality in Cell and Developmental Biology—0
Domain-specific ChatBots for Science using EmbeddingsCode1
Taming Diffusion Models for Music-driven Conducting Motion GenerationCode1
Text Promptable Surgical Instrument Segmentation with Vision-Language ModelsCode1
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception—0
BRUDEX Database: Binaural Room Impulse Responses with Uniformly Distributed External Microphones—0
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
Data Augmentation for Seizure Prediction with Generative Diffusion Model—0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings—0
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative ModelsCode1
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning—0
Deep Learning-Enabled Zero-Touch Device Identification: Mitigating the Impact of Channel Variability Through MIMO Diversity—0
Parameter-efficient Dysarthric Speech Recognition Using Adapter Fusion and Householder Transformation—0
Augmenting Zero-Shot Detection Training with Image Labels—0
Feature Fusion from Head to Tail for Long-Tailed Visual RecognitionCode1
AROID: Improving Adversarial Robustness Through Online Instance-Wise Data AugmentationCode0
On the Amplification of Linguistic Bias through Unintentional Self-reinforcement Learning by Generative Language Models -- A Perspective—0
Diverse Projection Ensembles for Distributional Reinforcement Learning—0
Generating Language Corrections for Teaching Physical Control TasksCode0
Towards Diverse and Effective Question-Answer Pair Generation from Children StorybooksCode1
Contribution à l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes—0
The Role of Diverse Replay for Generalisation in Reinforcement Learning—0
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models—0
Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning—0
Towards Understanding the Interplay of Generative Artificial Intelligence and the InternetCode0
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification—0
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces—0
Enhancing Robustness of AI Offensive Code Generators via Data AugmentationCode0
Stochastic Multi-Person 3D Motion ForecastingCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsCode1
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsCode2
SKG: A Versatile Information Retrieval and Analysis Framework for Academic Papers with Semantic Knowledge Graphs—0
Examining Bias in Opinion Summarisation Through the Perspective of Opinion Diversity—0
UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction ServicesCode2
Phoenix: A Federated Generative Diffusion Model—0
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions—0
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning—0
Phylogeny-informed fitness estimation—0
GaitGCI: Generative Counterfactual Intervention for Gait Recognition—0
Convergence and Diversity in the Control Hierarchy—0
A generative framework for conversational laughter: Its 'language model' and laughter sound synthesis—0
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