Home Research Papers Datasets State of the Art Pricing

Discover, visualize, and connect AI research papers. Explore the latest trends and insights in artificial intelligence research.

Product

Home
Research Papers
About

Support

Contact
Terms of Service
Privacy Policy

time-series-4

Model Optimization

3260 papers • 126 benchmarks • 313 datasets

To Optimize already existing models in Training/Inferencing tasks.

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in model-optimization-3

Trend

Dataset

Best Model

Actions

No benchmarks available.

Libraries

Use these libraries to find model-optimization-3 models and implementations

Datasets

No datasets available.

Subtasks

No subtasks available.

Most implemented papers

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

Noah A. Smith, Hannaneh Hajishirzi, Yejin Choi, Yizhong Wang, Nicholas Lourie, Roy Schwartz, Swabha Swayamdipta•Mon Sep 21 2020

The results indicate that a shift in focus from quantity to quality of data could lead to robust models and improved out-of-distribution generalization, and a model-based tool to characterize and diagnose datasets.

531

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers

Paper Graph

Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

C. Yao, X. Bai, Minghui Liao, Zhaoyi Wan, Zhisheng Zou•Sun Feb 20 2022

A Differentiable Binarization (DB) module that integrates the binarization process, one of the most important steps in the post-processing procedure, into a segmentation network is proposed and an efficient Adaptive Scale Fusion (ASF) module is proposed to improve the scale robustness by fusing features of different scales adaptively.

332 0

Paper Graph

Personalized Federated Learning with Moreau Envelopes

Canh T. Dinh, N. H. Tran, Tuan Dung Nguyen•Sun May 31 2020

This work proposes an algorithm for personalized FL (pFedMe) using Moreau envelopes as clients' regularized loss functions, which help decouple personalized model optimization from the global model learning in a bi-level problem stylized for personalizedFL.

1202 0

Paper Graph

Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

K. Lye, Siddhartha Mishra, Deep Ray, P. Chandrasekhar•Wed Aug 12 2020

This work presents a novel active learning algorithm, termed as iterative surrogate model optimization (ISMO), for robust and efficient numerical approximation of PDE constrained optimization problems, based on deep neural networks.

85 0

Paper Graph

Personalized Federated Learning with First Order Model Optimization

Serena Yeung, S. Fidler, J. Álvarez, Karan Sapra, Michael Zhang•Mon Dec 14 2020

This work efficiently calculate optimal weighted model combinations for each client, based on figuring out how much a client can benefit from another's model, to achieve personalization in federated FL.

384 0

Paper Graph

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Mengdan Zhang, Xing Sun, Chaoyou Fu, Peixian Chen, Xiawu Zheng, Yunhang Shen, Yulei Qin, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Ke Li, Rongrong Ji•Thu Jun 22 2023

A total of 30 advanced MLLMs are comprehensively evaluated on the first comprehensive MLLM Evaluation benchmark MME, which suggests that existing MLLMs still have a large room for improvement, but also reveals the potential directions for the subsequent model optimization.

1257 0

Paper Graph

PIXOR: Real-time 3D Object Detection from Point Clouds

Binh Yang, R. Urtasun, Wenjie Luo•Thu May 31 2018

PIXOR is proposed, a proposal-free, single-stage detector that outputs oriented 3D object estimates decoded from pixel-wise neural network predictions that surpasses other state-of-the-art methods notably in terms of Average Precision (AP), while still runs at 10 FPS.

1195 0

Paper Graph

Do the machine learning models on a crowd sourced platform exhibit bias? an empirical study on model fairness

Hridesh Rajan, Sumon Biswas•Wed May 20 2020

This study has created a benchmark of 40 top-rated models from Kaggle used for 5 different tasks, and using a comprehensive set of fairness metrics, evaluated their fairness and applied 7 mitigation techniques and analyzed the fairness, mitigation results, and impacts on performance.

116 0

Paper Graph

Adding a benchmark result helps the community track progress.

Model Optimization | State-of-the-Art