Learning Representations that Support Robust Transfer of Predictors

Last update: Dec 07, 2022

Related tags

Deep Learning TRM

Overview

Transfer Risk Minimization (TRM)

Code for Learning Representations that Support Robust Transfer of Predictors

Prepare the Datasets

Preprocess the SceneCOCO dataset :

# preprocess COCO
python coco.py
# preprocess Places
python places.py

# generate SceceCOCO dataset
python cocoplaces.py

Running the Experiments

python -m domainbed.scripts.train  --data_dir {root} --algorithm {alg} \
	--dataset {dataset} --trial_seed {t_seed} --epochs {epochs}  (--resnet50)

root: root directory for the data
alg: ERM, VREx, IRM, GroupDRO, Fish, MLDG, TRM
t_seed: seed for data splitting
dataset: PACS or OfficeHome or ColoredMNIST or SceneCOCO
resnet50: use ResNet50 (default: ResNet18)
epochs: training epochs

This implementation is based on / inspired by:

https://github.com/facebookresearch/DomainBed (code structure).
https://github.com/Faruk-Ahmed/predictive_group_invariance (data generation)

Owner

Yilun Xu

Hello!

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Learning Representations that Support Robust Transfer of Predictors

Related tags

Overview

Transfer Risk Minimization (TRM)

Prepare the Datasets

Preprocess the SceneCOCO dataset :

Running the Experiments

Owner

Yilun Xu

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Learning Representations that Support Robust Transfer of Predictors

Related tags

Overview

Transfer Risk Minimization (TRM)

Prepare the Datasets

Preprocess the SceneCOCO dataset :

Running the Experiments

Owner

Yilun Xu

Conditional Gradients For The Approximately Vanishing Ideal

InterfaceGAN++: Exploring the limits of InterfaceGAN

Code for unmixing audio signals in four different stems "drums, bass, vocals, others". The code is adapted from "Jukebox: A Generative Model for Music"

Python codes for Lite Audio-Visual Speech Enhancement.

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain

KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.

Official PyTorch implementation of CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

alfred-py: A deep learning utility library for **human**

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition

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Transformer Huffman coding - Complete Huffman coding through transformer

Robot Hacking Manual (RHM). From robotics to cybersecurity. Papers, notes and writeups from a journey into robot cybersecurity.

A library for performing coverage guided fuzzing of neural networks

Official implementation for "Image Quality Assessment using Contrastive Learning"

Fast sparse deep learning on CPUs

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

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alfred-py: A deep learning utility library for human