singlasahil14

barlow

Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction

CASO

code for the paper https://arxiv.org/abs/1902.00407

CONV-SV

A fast and efficient way to compute a differentiable bound on the singular values of convolution layers

loss-exps

Experiments with different loss functions for image classification

orthogonal-convolution

Github repo for my experiments with the orthogonal convolution idea

resnet-exps

Experiments with center loss function for image classification on resnet architecture

salient_imagenet

Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?

SOC

Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100

sortpool2d

A new kind of pooling layer for faster and sharper convergence

style-transfer

style transfer code for generating stylized images using content and style loss from different layers, from different loss networks (vgg-16, vgg-19, inception-v1, inception-v2, inception-v3 trained on imagenet, inception-v3 trained on openimages, inception-v4

singlasahil14/sortpool2d

A new kind of pooling layer for faster and sharper convergence

singlasahil14/barlow

Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction

singlasahil14/salient_imagenet

Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?

singlasahil14/orthogonal-convolution

Github repo for my experiments with the orthogonal convolution idea

singlasahil14/loss-exps

Experiments with different loss functions for image classification

singlasahil14/SOC

Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100

singlasahil14/CASO

code for the paper https://arxiv.org/abs/1902.00407

singlasahil14/CONV-SV

A fast and efficient way to compute a differentiable bound on the singular values of convolution layers

singlasahil14/resnet-exps

Experiments with center loss function for image classification on resnet architecture

singlasahil14/word-language-model

word-language-model imported and modified from pytorch-examples

singlasahil14/fantastic-four

Code for the ICLR paper: https://openreview.net/forum?id=JCRblSgs34Z

singlasahil14/improved_l2_robustness

singlasahil14/so-robust

Code for ICML paper "Second-Order Provable Defenses against Adversarial Attacks"

singlasahil14/sparse-convolution

Code for sparse convolution written in C++

singlasahil14/data-augmentation

Code for fast data augmentation

singlasahil14/singlasahil14.github.io

singlasahil14/archai

Reproducible Rapid Research for Neural Architecture Search (NAS)

singlasahil14/cs224d-psets

cs224d (Deep learning for NLP) psets solutions

singlasahil14/dcd

Code for data-centric debugging paper

singlasahil14/ImageNetV2

A new test set for ImageNet

singlasahil14/improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

singlasahil14/machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

singlasahil14/models

Models built with TensorFlow

singlasahil14/robust-apps

singlasahil14/robust_overfitting

singlasahil14/robust_representations

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

singlasahil14/robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

singlasahil14/singlasahil14_old

singlasahil14/sngan_projection

GANs with spectral normalization and projection discriminator

singlasahil14/spoofing

ARP and DNS Spoofing