bfshi/InfoDrop

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Created over 4 years ago
Updated almost 2 years ago

bfshi/InfoDrop

bfshi

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Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)

InfoDrop

Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" by Baifeng Shi*, Dinghuai Zhang*, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang, ICML2020.

This repo contains codes for

Domain Generalization
Few-shot Classification

scaling_on_scales

When do we not need larger vision models?

TOAST

Official code for "TOAST: Transfer Learning via Attention Steering"

AbSViT

Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)

Jupyter Notebook

DGAM-Weakly-Supervised-Action-Localization

Code for our paper "Weakly-Supervised Action Localization by Generative Attention Modeling" (CVPR2020)

VARS

Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)

ARML_Auxiliary_Task_Reweighting

Code for our paper "Auxiliary Task Reweighting for Minimum-data Learning" (NeurIPS 2020)

DeepLDA

Deep Linear Discriminant Analysis

Gaussian-Graphical-Model

term project for Bayesian Theory and Algorithms

bfshi.github.io

Video-Classification

SSAD_OSAD