Yash Sharma's repositories

ssl_identifiability

Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

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EAD_Attack

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

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caad_18

CAAD 2018 winning submissions

Split-Brain-Autoencoder

Implemented Split-Brain Autoencoder by Zhang et al.

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8-bit-processor

8-bit processor implemented in Verilog with assembler/linker coded in C++

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Pairs_Trading

Implementation of a Multiple Pairs Trading Strategy in R

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nlp_adversarial_examples

Implementation code for the paper "Generating Natural Language Adversarial Examples"

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cl-ica

Code for the paper "Contrastive Learning Inverts the Data Generating Process".

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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DeepBayes

Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"

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frequency_determines_performance

Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance"

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mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

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object-centric-representation-benchmark

Code, data and benchmark from the paper "Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences".

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open_lm

A repository for research on medium sized language models.

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polldentifyalgorithm

Algorithms used for polldentify

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slow_disentanglement

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

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SSD-Traffic

Single Shot MultiBox Detector in TensorFlow

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ZOO-Attack

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

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