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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 4051–4100 of 9051 papers

TitleStatusHype
Measuring Policy Distance for Multi-Agent Reinforcement LearningCode0
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient—0
Interactive Mars Image Content-Based Search with Interpretable Machine Learning—0
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization—0
Hierarchical Federated Learning in Multi-hop Cluster-Based VANETsCode0
QoS-Aware 3D Coverage Deployment of UAVs for Internet of Vehicles in Intelligent Transportation—0
Divide and not forget: Ensemble of selectively trained experts in Continual LearningCode0
BPDO:Boundary Points Dynamic Optimization for Arbitrary Shape Scene Text Detection—0
Generalized Face Liveness Detection via De-fake Face Generator—0
Learning to detect cloud and snow in remote sensing images from noisy labels—0
SM^3: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects—0
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation—0
Evolutionary Multi-Objective Diversity Optimization—0
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense ReasoningCode0
XLS-R Deep Learning Model for Multilingual ASR on Low- Resource Languages: Indonesian, Javanese, and Sundanese—0
Microphone Conversion: Mitigating Device Variability in Sound Event ClassificationCode0
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentationCode0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain—0
R-BI: Regularized Batched Inputs enhance Incremental Decoding Framework for Low-Latency Simultaneous Speech Translation—0
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems—0
Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks—0
Generating Diverse and High-Quality Texts by Minimum Bayes Risk DecodingCode0
Diversity-aware clustering: Computational Complexity and Approximation Algorithms—0
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN—0
Proof of Efficient Liquidity: A Staking Mechanism for Capital Efficient Liquidity—0
EmoGen: Emotional Image Content Generation with Text-to-Image Diffusion Models—0
HyperGANStrument: Instrument Sound Synthesis and Editing with Pitch-Invariant Hypernetworks—0
We Need to Talk About Classification Evaluation Metrics in NLP—0
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning—0
Catalyzing Equity in STEM Teams: Harnessing Generative AI for Inclusion and Diversity—0
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs—0
A multimodal gesture recognition dataset for desktop human-computer interaction—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting—0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningCode0
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)—0
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation—0
Few-shot Image Generation via Information Transfer from the Built Geodesic Surface—0
Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review—0
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation—0
GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction—0
Cheetah: Natural Language Generation for 517 African LanguagesCode0
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation—0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Motion Diversification Networks—0
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning—0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
Exact Fusion via Feature Distribution Matching for Few-shot Image GenerationCode0
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