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Research Papers

A collection of 10 posts

Research Papers

Attention Is All You Need: Paper Summary and Insights

In 2017, Vaswani et al. published a groundbreaking paper titled "Attention Is All You Need" at the Neural Information Processing Systems (NeurIPS) conference. This article at OpenGenus summarizes this paper and present the key insights.

Akshat Sunil Pande
Machine Learning (ML)

Concrete Problems in AI Safety

In this article we shall explore a research paper titled “Concrete Problems in AI Safety” by Dario Amodei and others. This has been a very influential paper.

Priyanshi Sharma Priyanshi Sharma
Machine Learning (ML)

Adversarial Sample Transferability in Machine Learning: Attacks

We have discussed about what adversarial machine learning is and what transferability attacks are. The ideas are from Ian Goodfellow.

Apoorva Kandpal Apoorva Kandpal
Machine Learning (ML)

Can Machine Learning (ML) be secure?

We answer the question "Can Machine Learning (ML) or Artificial Intelligence (AI) be secure?". We explore different types of attacks on Machine learning, defense strategies and more

Apoorva Kandpal Apoorva Kandpal
Machine Learning (ML)

Summary: The Case for Learned Index Structures

This outlines and evaluates the potential of a new approach to build indexes that is the merge of Algorithms/ Data Structures and Machine Learning.

Annie Lee Annie Lee
Machine Learning (ML)

Adversarial Examples are not Bugs but are Features of AI

Adversarial Vulnerability is a direct result of our models' sensitivity to well-generalizing features in the data. We explored the research paper.

Annie Lee Annie Lee
Machine Learning (ML)

The Indirect Convolution Algorithm

Indirect Convolution is as efficient as the GEMM primitive without the overhead of im2col transformations - instead of reshuffling the data, an indirection buffer is introduced.

Annie Lee Annie Lee
Machine Learning (ML)

Summary: Learning to See by Moving

Research question: Is it also possible to learn useful features for a diverse set of visual tasks using any other form of supervision?

Annie Lee Annie Lee
Machine Learning (ML)

Summary: High Performance Convolutional Neural Networks for Document Processing

We have explored the paper "High Performance Convolutional Neural Networks for Document Processing" by Microsoft Research. It explores techniques to compute convolution layer in CNN faster.

Annie Lee Annie Lee
Machine Learning (ML)

Understanding Deep Image Representations by Inverting Them

We have explore the problem that given an encoding of an image, to which extent is it possible to reconstruct the image itself? We have explored the paper "Understanding Deep Image Representations by Inverting Them".

Annie Lee Annie Lee
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