Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Last update: Dec 12, 2022

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Deep Learning head2toe

Overview

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Code for reproducing our results in the Head2Toe paper.

Paper: arxiv.org/abs/2201.03529

Instructions to run experiments coming soon.

Disclaimer

This is not an officially supported Google product.

Owner

Google Research

GitHub Repository

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Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Related tags

Overview

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Disclaimer

Owner

Google Research

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long, Evan Shelhamer, and Trevor Darrell. CVPR 2015 and PAMI 2016.

This is the official pytorch implementation of Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation(TESKD)

Source code of our TTH paper: Targeted Trojan-Horse Attacks on Language-based Image Retrieval.

This is a library for training and applying sparse fine-tunings with torch and transformers.

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

PyVideoAI: Action Recognition Framework

EfficientNetV2-with-TPU - Cifar-10 case study

RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?

GRaNDPapA: Generator of Rad Names from Decent Paper Acronyms

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

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PyTorch package for the discrete VAE used for DALL·E.

Telegram chatbot created with deep learning model (LSTM) and telebot library.

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GeoTransformer - Geometric Transformer for Fast and Robust Point Cloud Registration

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Related tags

Overview

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Disclaimer

Owner

Google Research

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

This is the official pytorch implementation of Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation(TESKD)

Source code of our TTH paper: Targeted Trojan-Horse Attacks on Language-based Image Retrieval.

This is a library for training and applying sparse fine-tunings with torch and transformers.

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

PyVideoAI: Action Recognition Framework

EfficientNetV2-with-TPU - Cifar-10 case study

RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?

GRaNDPapA: Generator of Rad Names from Decent Paper Acronyms

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

Open-sourcing the Slates Dataset for recommender systems research

PyTorch package for the discrete VAE used for DALL·E.

Telegram chatbot created with deep learning model (LSTM) and telebot library.

Implements Gradient Centralization and allows it to use as a Python package in TensorFlow

Multi Task Vision and Language

Deploy a ML inference service on a budget in less than 10 lines of code.

Plaything for Autistic Children (demo for PaddlePaddle/Wechaty/Mixlab project)

GeoTransformer - Geometric Transformer for Fast and Robust Point Cloud Registration

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long, Evan Shelhamer, and Trevor Darrell. CVPR 2015 and PAMI 2016.