---
title: "Akshay Krishnamurthy · Microsoft — author profile and papers"
description: "Akshay Krishnamurthy, Microsoft: 2 papers on Elamur Research (2019–2024), h-index 24 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/akshay-krishnamurthy/"
---
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# Akshay Krishnamurthy

Akshay Krishnamurthy has 2 papers in our library, in 2019–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Alekh Agarwal](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/), [John C. Langford](https://md.research.elamur.ai/free/en/authors/john-c-langford/).

2 papers in our library · 2019–2024

[OpenAlex](https://openalex.org/A5015082848) · [ORCID](https://orcid.org/0000-0002-5738-2383) · [**h-index 24**](https://openalex.org/authors/A5015082848) · [125 works](https://openalex.org/works?filter=author.id:A5015082848) · [2,403 citations](https://openalex.org/works?filter=author.id:A5015082848&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/akshay-krishnamurthy/#papers) · [🔗 Cited 108 times in our library](https://md.research.elamur.ai/free/en/authors/akshay-krishnamurthy/cited-by/) · [⭐ Paper Stars ranking: #5118](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5118)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Akshay+Krishnamurthy) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Akshay+Krishnamurthy) · [dblp](https://dblp.org/search?q=Akshay+Krishnamurthy) · [ACL Anthology](https://aclanthology.org/search/?q=Akshay+Krishnamurthy)

## Affiliations

[🏢**Microsoft** Redmond · United States 2016–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research New York City** New York · United States 2016–2026 · 28 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-new-york-city/) · [🎓**University of California, Berkeley** Berkeley · United States 2020–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 2014–2021 · 23 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2012–2015 · 8 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/akshay-krishnamurthy/year/2024/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/akshay-krishnamurthy/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds](https://md.research.elamur.ai/free/en/papers/ash-2019-deep-batch-active-learning-diverse/)** *(2019 · 362 citations)* The paper addresses batch active learning for deep neural networks. The task is to select a whole group of unlabeled examples for labeling at once while spending as little annotator effort as possible. Methods that consider only model uncertainty often fill a batch with nearly identical examples. Methods that seek…
2. **[Self-Improvement in Language Models: The Sharpening Mechanism](https://md.research.elamur.ai/free/en/papers/huang-2024-self-improvement-language-models-sharpening/)** *(2024 · 20 citations)* The paper asks why language models can improve themselves without external feedback, given that self-training cannot add information the model lacks.

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Alekh Agarwal](https://md.research.elamur.ai/free/en/authors/alekh-agarwal/)
- [John C. Langford](https://md.research.elamur.ai/free/en/authors/john-c-langford/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/): [ICLR 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/2019/)

## Cited by

Papers of our library cite their works 108 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/akshay-krishnamurthy/cited-by/).

Updated 3 November 2026
