Cost Effective Approach

Cost-effective approaches in various scientific domains aim to maximize performance or accuracy while minimizing computational resources, data requirements, or financial investment. Current research focuses on developing efficient algorithms and model architectures, such as leveraging pre-trained models, adapting existing methods for new contexts (e.g., applying techniques from HPC to machine learning), and employing techniques like vector sampling and marginalization to reduce computational burden. These advancements are significant because they broaden accessibility to advanced technologies across diverse fields, from high-performance computing and financial analysis to healthcare and e-commerce, enabling wider adoption and impact.

Papers

June 28, 2024

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
Deep Neural Network Adversarial Attack Native Robustness Adversarial Robustness Cost Effective Approach Lipschitz Continuity

May 28, 2024

FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models
Anjanava Biswas, Wrick Talukdar
Full Model Financial Text Class Embeddings Cost Effective Approach Vector Similarity Search Multimodal Design Document

March 12, 2024

Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality
Adrian Perez Dieguez, Min Choi, Mahmut Okyay, Mauro Del Ben, Bryan M. Wong, Khaled Z. Ibrahim
Data Dimensionality High Performance Computing Interdependent Network Kohn Sham Cost Effective Approach Effective Tuning

February 5, 2024

Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
Sergi Blanco-Cuaresma
Evaluation Metric Computational Linguistics Online Comment Reddit Post Cost Effective Approach

February 1, 2024

A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)
Kirolos Attallah, Girgis Zaky, Nourhan Abdelrhim, Kyrillos Botros, Amjad Dife, Nermin Negied
Generative Adversarial Network Virtual Try Geometric Fabric Cost Effective Approach

October 20, 2023

CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages
Gabriel Oliveira dos Santos, Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva, Luiz Pereira, Pedro Bueno, Thiago Sousa, Helena Maia, Nádia Da Silva, Esther Colombini, Helio Pedrini, Sandra Avila
Low Resource Language Synthetic Caption Zero Shot Vision Language Cost Effective Approach Multilingual CLIP

October 11, 2023

Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches
Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng
Native Robustness Adversarial Robustness Randomized Smoothing Smoothed Classifier Cost Effective Approach

July 17, 2023

Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation
Adam Piróg, Halina Kwaśnicka
Deep Learning Deep Neural Network Ensemble Learning Data Clustering Deep Ensemble Spectral Clustering Cost Effective Approach

April 4, 2023

Virtual Avatar Stream: a cost-down approach to the Metaverse experience
Joseph Chang
Ubiquitous Semantic Metaverse Self Avatar Virtual Avatar Cost Effective Approach Metaverse Experience Grassroots Democratic Metaverse

October 3, 2022

Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang, Aaron Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen
Reinforcement Learning Environment Exploration Latent State Latent Action Actor Critic Framework Policy Distribution Cost Effective Approach

February 9, 2022

Cost-effective Framework for Gradual Domain Adaptation with Multifidelity
Shogo Sagawa, Hideitsu Hino
Domain Adaptation Gradual Domain Adaptation Intermediate Domain Cost Effective Approach

Cost Effective Approach

Papers

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness

FinEmbedDiff: A Cost-Effective Approach of Classifying Financial Documents with Vector Sampling using Multi-modal Embedding Models

Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality

Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach

A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)

CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages

Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches

Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation

Virtual Avatar Stream: a cost-down approach to the Metaverse experience

Latent State Marginalization as a Low-cost Approach for Improving Exploration

Cost-effective Framework for Gradual Domain Adaptation with Multifidelity