---
title: "Alex J. Smola — author profile and papers — Elamur Research"
description: "Alex J. Smola, Bose: 5 papers on Elamur Research (2015–2023), h-index 78 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/alex-j-smola/"
---
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# Alex J. Smola

Alex J. Smola has 5 papers in our library, in 2015–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Aston Zhang](https://md.research.elamur.ai/free/en/authors/aston-zhang/), [Mu Li](https://md.research.elamur.ai/free/en/authors/mu-li/), [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/).

5 papers in our library · 2015–2023

[OpenAlex](https://openalex.org/A5090351022) · [**h-index 78**](https://openalex.org/authors/A5090351022) · [202 works](https://openalex.org/works?filter=author.id:A5090351022) · [63,485 citations](https://openalex.org/works?filter=author.id:A5090351022&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/alex-j-smola/#papers) · [🔗 Cited 1,869 times in our library](https://md.research.elamur.ai/free/en/authors/alex-j-smola/cited-by/) · [25 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #374](https://md.research.elamur.ai/free/en/paper-stars/page/4/#star-374)

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=Alex+J.+Smola) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alex+J.+Smola) · [dblp](https://dblp.org/search?q=Alex+J.+Smola) · [ACL Anthology](https://aclanthology.org/search/?q=Alex+J.+Smola)

## Affiliations

[🏢**Bose** Framingham · United States 2026 · 1 paper*current*](https://ror.org/0427k1a73) · [🎓**Australian National University** Canberra · Australia 1998–2014 · 48 papers](https://md.research.elamur.ai/free/en/universities/australian-national-university/) · [🔬**Data61** Sydney · Australia 2003–2012 · 38 papers](https://md.research.elamur.ai/free/en/labs/data61/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2013–2021 · 27 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Yahoo** Sunnyvale · United States 2008–2018 · 25 papers](https://md.research.elamur.ai/free/en/companies/yahoo/) · [🏢**Amazon** Seattle · United States 2018–2023 · 15 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🏢**Google** Mountain View · United States 2012–2017 · 8 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2014–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**Stanford University** Stanford · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

💡 Concepts 3 Key ideas and methods explained on our concept pages.[Text classification · 1 work](https://md.research.elamur.ai/free/en/concepts/text-classification/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/concepts/question-answering/) · [Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/alex-j-smola/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/alex-j-smola/year/2022/)

### 2010s

[**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/alex-j-smola/year/2016/) · [**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/alex-j-smola/year/2015/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/)** *(2016 · 5,436 citations)* The paper addresses document-level text classification, such as predicting review ratings or question topics.
2. **[Stacked Attention Networks for Image Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-stacked-attention-networks-image-question/)** *(2015 · 2,157 citations)* The paper addresses image question answering (QA): answering a natural-language question about a given picture.
3. **[Automatic Chain of Thought Prompting in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2022-automatic-chain-thought-prompting-large/)** *(2022 · 695 citations)* Chain-of-thought prompting works best when a model sees a few worked examples, but writing those examples by hand is slow and has to be redone for each task.
4. **[Multimodal Chain-of-Thought Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-multimodal-chain-thought-reasoning-language/)** *(2023 · 308 citations)* Chain-of-thought (CoT) prompting helps large language models solve multi-step problems, but earlier work used text only.
5. **[Parameter-Efficient Fine-Tuning Design Spaces](https://md.research.elamur.ai/free/en/papers/chen-2023-parameter-efficient-fine-tuning-design/)** *(2023 · 47 citations)* Existing parameter-efficient fine-tuning (PEFT) techniques such as Adapter, Prefix tuning, BitFit and LoRA were each designed by hand and usually applied identically to every layer.

## All works

30 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zichao Yang, Diyi Yang, Chris Dyer, et al.*2016 · 5,436 citations*
2. **[Stacked Attention Networks for Image Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2015-stacked-attention-networks-image-question/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Zichao Yang, Xiaodong He, Jianfeng Gao, et al.*2015 · 2,157 citations*
3. **[Feature hashing for large scale multitask learning ↗](https://doi.org/10.1145/1553374.1553516) International Conference on Machine Learning · no summary yet**Kilian Q. Weinberger et al.*2009 · 958 citations*
4. [**Automatic Chain of Thought Prompting in Large Language Models arXiv:2210.03493**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2022 · 695 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-automatic-chain-thought-prompting-large/)
5. **[Learning Graph Matching ↗](https://doi.org/10.1109/tpami.2009.28) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Tibério S. Caetano et al.*383 citations*
6. **[COFI RANK - Maximum margin matrix factorization for collaborative ranking ↗](https://hal.science/hal-00482740) HAL (Le Centre pour la Communication Scientifique Directe) · no summary yet**Markus Weimer et al.*2007 · 349 citations*
7. **[Fastfood: approximating kernel expansions in loglinear time ↗](https://openalex.org/W2118563516) no summary yet**Quoc Viet Le, Tamás Sarlós, Alex J. Smola*2013 · 317 citations*
8. [**Multimodal Chain-of-Thought Reasoning in Language Models arXiv:2302.00923**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2023 · 308 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-multimodal-chain-thought-reasoning-language/)
9. **[Hilbert space embeddings of conditional distributions with applications to dynamical systems ↗](https://doi.org/10.1145/1553374.1553497) International Conference on Machine Learning · no summary yet**Le Song et al.*2009 · 255 citations*
10. **[Bundle Methods for Regularized Risk Minimization ↗](https://doi.org/10.5555/1756006.1756016) no summary yet**Choon Hui Teo et al.*2010 · 227 citations*
11. **[Deep Sets ↗](https://arxiv.org/abs/1703.06114) arXiv (Cornell University) · no summary yet**Manzil Zaheer et al.*2017 · 199 citations*
12. **[Slow Learners are Fast ↗](https://openalex.org/W2133233009) neural information processing systems · no summary yet**Martin Zinkevich, John C. Langford, Alex J. Smola*2009 · 196 citations*
13. **[Heteroscedastic Gaussian process regression ↗](https://doi.org/10.1145/1102351.1102413) International Conference on Machine Learning · no summary yet**Quoc Viet Le, Alex J. Smola, Stéphane Canu*2005 · 181 citations*
14. **[A scalable modular convex solver for regularized risk minimization ↗](https://doi.org/10.1145/1281192.1281270) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Choon Hui Teo et al.*2007 · 174 citations*
15. **[Estimating Labels from Label Proportions ↗](https://doi.org/10.5555/1577069.1755865) no summary yet**Novi Quadrianto et al.*2009 · 154 citations*
16. **[Super-Samples from Kernel Herding ↗](https://arxiv.org/abs/1203.3472) arXiv (Cornell University) · no summary yet**Yutian Chen, Max Welling, Alex J. Smola*2012 · 153 citations*
17. **[Bundle Methods for Machine Learning ↗](https://openalex.org/W2105636360) neural information processing systems · no summary yet**Quoc Viet Le, Alex J. Smola, S. V. N. Vishwanathan*2007 · 124 citations*
18. **[Fastfood - Computing Hilbert Space Expansions in loglinear time ↗](https://openalex.org/W175700287) International Conference on Machine Learning · no summary yet**Quoc Viet Le, Tamás Sarlós, Alexander Johannes Smola*2013 · 101 citations*
19. **[Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization ↗](https://openalex.org/W2556623528) neural information processing systems · no summary yet**Sashank Jakkam Reddi et al.*2016 · 96 citations*
20. **[Direct Optimization of Ranking Measures ↗](https://arxiv.org/abs/0704.3359) arXiv (Cornell University) · no summary yet**Quoc Viet Le, Alexander Johannes Smola*2007 · 94 citations*
21. **[Symbolic Music Generation with Transformer-GANs ↗](https://doi.org/10.1609/aaai.v35i1.16117) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Aashiq Muhamed et al.*2021 · 66 citations*
22. **[Tighter Bounds for Structured Estimation ↗](https://openalex.org/W2158460069) no summary yet**Olivier Chapelle et al.*2008 · 62 citations*
23. **[Learning Graph Matching ↗](https://doi.org/10.1109/iccv.2007.4408838) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Tibério S. Caetano et al.*2007 · 62 citations*
24. **[A Generic Approach for Escaping Saddle points ↗](https://arxiv.org/abs/1709.01434) arXiv (Cornell University) · no summary yet**Sashank Jakkam Reddi et al.*2017 · 52 citations*
25. [**Parameter-Efficient Fine-Tuning Design Spaces arXiv:2301.01821**Jiaao Chen, Aston Zhang, Xingjian Shi, et al.*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-parameter-efficient-fine-tuning-design/)

[See all 30 works by Alex J. Smola →](https://md.research.elamur.ai/free/en/authors/alex-j-smola/works/)

## Co-authors here

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

- [Aston Zhang](https://md.research.elamur.ai/free/en/authors/aston-zhang/) ×3
- [Mu Li](https://md.research.elamur.ai/free/en/authors/mu-li/) ×3
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/) ×2
- [Xiaodong He](https://md.research.elamur.ai/free/en/authors/xiaodong-he/) ×2
- [Zhuosheng Zhang](https://md.research.elamur.ai/free/en/authors/zhuosheng-zhang/) ×2
- [Zichao Yang](https://md.research.elamur.ai/free/en/authors/zichao-yang/) ×2
- [Chris Dyer](https://md.research.elamur.ai/free/en/authors/chris-dyer/)
- [Eduard Hovy](https://md.research.elamur.ai/free/en/authors/eduard-hovy/)
- [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/)
- [Jiaao Chen](https://md.research.elamur.ai/free/en/authors/jiaao-chen/)
- [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/)
- [Li Deng](https://md.research.elamur.ai/free/en/authors/li-deng/)

## Venues

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

- International Conference on Machine Learning ×5
- neural information processing systems ×3
- [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/): [IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2016](https://md.research.elamur.ai/free/en/venues/naacl/2016/)
- ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
- HAL (Le Centre pour la Communication Scientifique Directe)
- IEEE International Conference on Computer Vision (ICCV)
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Lecture notes in computer science
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 1,869 times (of the 149,439 papers whose bibliographies we read); [253 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/alex-j-smola/cited-by/).

Updated 30 October 2026