Implementation of ''GAGA: Deciphering Age-path of Generalized Self-paced Regularizer'' (NeurIPS 2022)

Related tags

Admin Panels GAGA
Overview

Generalized Age-path Algorithm (GAGA)

Implementation of ''GAGA: Deciphering Age-path of Generalized Self-paced Regularizer'' (NeurIPS 2022)

TL;DR: Tracking the solution path of age parameter in self-paced learning for generalized self-paced regularizer.

[arXiv]

Usage

Check our Appendix F. Code Readme for detailed instructions.

Citation

If you find the GAGA codebase useful, please cite:

@article{qu2022gaga,
  title={GAGA: Deciphering Age-path of Generalized Self-paced Regularizer},
  author={Qu, Xingyu and Li, Diyang and Zhao, Xiaohan and Gu, Bin},
  journal={arXiv preprint arXiv:2209.07063},
  year={2022}
}
You might also like...

Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.

Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.

Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) (NeurIPS 2022) | paper | pretrained model | This repo contains an official Py

Sep 22, 2022

[NeurIPS 2022] The official implementation for "Learning to Discover and Detect Objects"

Learning to Discover and Detect Objects This repository provides the official implementation of the following paper: Learning to Discover and Detect O

Oct 2, 2022

Implementation of Dijkstra Shortest Path algorithm to find the shortest distance between any two nodes from a weighted graph.

Implementation of Dijkstra Shortest Path algorithm to find the shortest distance between any two nodes from a weighted graph.

Dijkstra Shortest Path Introduction One big and very important class of problems consists on finding paths between two given points. These types of pr

Sep 26, 2022

[NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.

[NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.

FST Overview The Pytorch implementation of Learning from Future: A Novel Self-Training Framework for Semantic Segmentation. [arXiv] Self-training has

Sep 27, 2022

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding (CVPR'22) Paper Link | Project Page Abstract : Manual an

Sep 25, 2022

Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

[CVPR'22] DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis This repository provides a PyTorch im

Sep 21, 2022

[EMBC 2022] Official Implementation for "Self-supervised Assisted Active Learning for Skin Lesion Segmentation"

[EMBC 2022] Official Implementation for

Self-supervised Assisted Active Learning for Skin Lesion Segmentation Pytorch implementation of our method for EMBC 2022 paper: "Self-supervised Assis

Sep 5, 2022

Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022

Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022

Self-Taught Metric Learning without Labels (CVPR 2022) Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak [paper], [project hompage] Official PyTorch imp

Sep 22, 2022

Code for Dataset and Benchmarks Submission, Neurips 2022

Towards Understanding How Machines Can Learn Causal Overhypotheses (Submission: NeurIPS Baselines 2022) This repository hosts the code for the blicket

Aug 22, 2022
Owner
null
Using path finding algorithms to find a path between two points on a randomly generated maze.

Solving-a-randomly-generated-maze Using path finding algorithms to find a path between two points on a randomly generated maze. A maze is randomly gen

null 1 May 5, 2022
A generative model of 3D facial details that can perform expression, age and wrinkle line editing (ECCV 2022).

Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation Code for our ECCV 2022 paper "Structure-aware Editable Morpha

null 37 Oct 1, 2022
[CVPR 2022 Oral] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

EPro-PnP EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation In CVPR 2022 (Oral). [paper] Hanshen

 同济大学智能汽车研究所综合感知研究组 ( Comprehensive Perception Research Group under Institute of Intelligent Vehicles, School of Automotive Studies, Tongji University) 767 Sep 25, 2022
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.

Nonuniform-to-Uniform Quantization This repository contains the training code of N2UQ introduced in our CVPR 2022 paper: "Nonuniform-to-Uniform Quanti

Zechun Liu 52 Sep 18, 2022
Pytorch codes for Federated Generalized Face Presentation Attack Detection in TNNLS 2022.

TNNLS2022-FedGPAD Pytorch codes for Federated Generalized Face Presentation Attack Detection (pdf) in TNNLS 2022. A face presentation attack detection

Rui Shao 3 Aug 4, 2022
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation, ECCV 2022

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation (ECCV 2022) This repository contains the official implementa

Yuyang Zhao 19 Sep 7, 2022
Repository containing InterIIT BOSCH AGE-GENDER WORK FOR InterIIT TECH MEET 10.0

BOSCH_A-G_INTERIIT Repository containing Our Solution for BOSCH Age and Gender Detection Problem Statement in InterIIT TechMeet 10.0 A snapshot for ou

Aman Mishra 9 Apr 11, 2022
Simple age trick script made with python !

AgeTrickScript Simple age trick script made with python ! Just run the Start.bat and you started the script!! Maybe will make another one, that will s

Hector 1 Sep 6, 2022
OCT is a non-invasive technology used for the diagnosis of the eye, especially the retina. This project uses such OCT images to classify and aid in the diagnosis of age-related retinal problems.

OCT-classification OCT is a non-invasive technology used for the diagnosis of the eye, especially the retina. This project uses such OCT images to cla

Sairam Adithya Vuppala 2 Mar 12, 2022
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

An automatic differentiation library for generalized meta-learning and multilevel optimization Docs | Tutorials | Examples | Paper | CASL Project pip

leopard-ai 197 Sep 22, 2022