miscellaneous-10

Philosophy

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Gradient Harmonized Single-stage Detector

Xiaogang Wang, Yu Liu, Buyu Li•Mon Nov 12 2018

A novel gradient harmonizing mechanism (GHM) is proposed to be a hedging for the disharmonies of single-stage detector and without any whistles and bells, this model achieves 41.6 mAP on COCO test-dev set which surpasses the state-of-the-art method, Focal Loss (FL) + $SL_1$, by 0.8.

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Pylearn2: a machine learning research library

Yoshua Bengio, I. Goodfellow, Razvan Pascanu, Mehdi Mirza, Vincent Dumoulin, David Warde-Farley, J. Bergstra, Pascal Lamblin, Frédéric Bastien•Sun Aug 18 2013

A brief history of the library, an overview of its basic philosophy, a summary of the Library's architecture, and a description of how the Pylearn2 community functions socially are given.

306 0

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Neural Network Distiller: A Python Package For DNN Compression Research

Neta Zmora, Guy Jacob, Lev Zlotnik, Bar Elharar, Gal Novik•Sat Oct 26 2019

Distiller is a library of DNN compression algorithms implementations, with tools, tutorials and sample applications for various learning tasks, and the rich content is complemented by a design-for-extensibility to facilitate new research.

75 0

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VanillaNet: the Power of Minimalism in Deep Learning

Yunhe Wang, Hanting Chen, Jianyuan Guo, Dacheng Tao•Sun May 21 2023

This study introduces VanillaNet, a neural network architecture that embraces elegance in design and delivers performance on par with renowned deep neural networks and vision transformers, showcasing the power of minimalism in deep learning.

180 0

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Analyzing and Improving the Training Dynamics of Diffusion Models

S. Laine, Timo Aila, J. Lehtinen, M. Aittala, Janne Hellsten, T. Karras•Mon Dec 04 2023

This paper identifies and rectify several causes for uneven and ineffective training in the popular ADM diffusion model architecture, without altering its high- level structure, and presents a method for setting the exponential moving average (EMA) parameters post-hoc, i.e., after completing the training run.

349 0

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MIOpen: An Open Source Library For Deep Learning Primitives

Chao Liu, Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, I. Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga•Sun Sep 29 2019

This paper introduces MIOpen and provides details about the internal workings of the library and supported features, as well as implementing fusion to optimize for memory bandwidth and GPU launch overheads, and implementing different algorithms to optimize convolutions for different filter and input sizes.

48 0

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ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense

Meng, Jianhai Su, Jason M. O'Kane, Pooyan Jamshidi•Wed Jan 01 2020

A comprehensive empirical study is conducted to evaluate several realizations of ATHENA with four threat models including zero-knowledge, black-boxes, gray-box, and white-box and explains why diversity matters, the generality of the defense framework, and the overhead costs incurred.

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A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

Xiaohua Zhai, Wuyang Chen, Lucas Beyer, Xianzhi Du, Fan Yang, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou•Thu Dec 31 2020

A simple and compact ViT architecture called UViT is proposed that achieves strong performance on COCO object detection and instance segmentation tasks and completes a scaling rule to optimize the model’s trade-off on accuracy and computation cost / model size.

42 0

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Genetic Algorithm for Solving Simple Mathematical Equality Problem

D. Hermawanto•Wed Aug 14 2013

This paper explains genetic algorithm for novice in this field and basic philosophy of genetic algorithm and its flowchart are described.

64 0

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