Eric Wallace
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Health Informatics top 10%
Papers in ⓘ
-
- Adversarial Robustness in Machine Learning 7
- Topic Modeling 7
- Natural Language Processing Techniques 6
- Explainable Artificial Intelligence (XAI) 3
- Machine Learning and Data Classification 2
-
- Advanced Malware Detection Techniques 2
- Co-authors
- Sameer Singh (6 shared papers)Taylor Shin (1 shared paper)Robert L. Logan (1 shared paper)Junlin Wang (2 shared papers)Matt Gardner (3 shared papers)Ivana Balažević (1 shared paper)Robert Logan (1 shared paper)Dawn Song (1 shared paper)
- Journals
- Radiology (1 paper)Journal of Science Education and Technology (1 paper)Youth & Society (1 paper)New Directions for Youth Development (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (2 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Eric Wallace
20 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 857
- Health Informatics 21
- Computer Vision and Pattern Recognition 287
- Signal Processing 47
- Safety Research 36
Countries citing papers authored by Eric Wallace
This map shows the geographic impact of Eric Wallace's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Wallace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Wallace more than expected).
Fields of papers citing papers by Eric Wallace
This network shows the impact of papers produced by Eric Wallace. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Wallace. The network helps show where Eric Wallace may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Wallace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts Hit paper breakdown → | 2020 | 674 |
| 2 | 2022 | 84 | |
| 3 | 2019 | 62 | |
| 4 | 2020 | 43 | |
| 5 | Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers | 2020 | 39 |
| 6 | 2021 | 35 | |
| 7 | 2004 | 31 | |
| 8 | 2020 | 26 | |
| 9 | 2014 | 17 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 12 | |
| 12 | 2016 | 11 | |
| 13 | Universal Adversarial Triggers for NLP. | 2019 | 7 |
| 14 | 2022 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2022 | 1 | |
| 20 | 2019 | 1 |
About Eric Wallace
Eric Wallace is a scholar working on Artificial Intelligence, Signal Processing, General Health Professions, Safety Research and Education, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Explainable Artificial Intelligence (XAI) (3 papers), Advanced Malware Detection Techniques (2 papers), Machine Learning and Data Classification (2 papers), Youth Development and Social Support (2 papers) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (857 citations), Health Informatics (21 citations), Computer Vision and Pattern Recognition (287 citations), Signal Processing (47 citations) and Safety Research (36 citations). Eric Wallace has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Sameer Singh, Taylor Shin, Robert L. Logan, Junlin Wang, Matt Gardner, Ivana Balažević, Robert Logan, Dawn Song, Mitchell Stern and Sebastian Riedel. Their work appears in journals such as Radiology, Journal of Science Education and Technology, Youth & Society, New Directions for Youth Development and Findings of the Association for Computational Linguistics: ACL 2022.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.