Daniel Fried: CV

October 17, 2021

Contact Information

dfried@andrew.cmu.edu
dpfried.github.io

Education

Professional Experience

Honors & Awards

Google Ph.D. Fellowship in Natural Language Processing 2019 – 2021
Outstanding Graduate Student Instructor, UC Berkeley 2018
Outstanding Reviewer, ACL 2018, 2020, 2021
Outstanding Reviewer, NeurIPS 2019
Tencent AI Lab Fellowship 2018 – 2019
Huawei & Berkeley AI Fellowship 2017 – 2018
Best M.Phil. Student Award, Cambridge Computer Laboratory 2015
Churchill Scholarship 2014 – 2015
NDSEG Fellowship 2014
Finalist, Hertz Graduate Fellowship 2014
Outstanding Senior Award in Research, U. Arizona College of Science 2014
Outstanding Senior Award in Academics, U. Arizona Computer Science 2014
Outstanding Senior Award in Academics, U. Arizona Information Science 2014
Barry M. Goldwater Scholarship 2013
National Merit Scholar 2010 – 2014
Flinn Scholarship, Flinn Foundation of Arizona 2010 – 2014
Presidential Scholar, U.S. Department of Education 2010

Publications

  1. Reference-Centric Models for Grounded Collaborative Dialogue
    Daniel Fried, Justin Chiu, and Dan Klein
    Empirical Methods in Natural Language Processing (EMNLP), 2021

  2. Modular Networks for Compositional Instruction Following
    Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, and Trevor Darrell
    North American Chapter of the Association for Computational Linguistics (NAACL), 2021

  3. Interactive Assignments for Teaching Structured Neural NLP
    David Gaddy, Daniel Fried, Nikita Kitaev, Mitchell Stern, Rodolfo Corona, John DeNero, and Dan Klein
    Teaching NLP Workshop at NAACL, 2021

  4. Syntactic Structure Distillation Pretraining for Bidirectional Encoders
    Adhiguna Kuncoro*, Lingpeng Kong*, Daniel Fried*, Dani Yogatama, Laura Rimell, Chris Dyer, and Phil Blunsom
    Transactions of the Association for Computational Linguistics (TACL), 2020

  5. Learning to Segment Actions from Observation and Narration
    Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
    Annual Meeting of the Association for Computational Linguistics (ACL), 2020

  6. Cross-Domain Generalization of Neural Constituency Parsers
    Daniel Fried*, Nikita Kitaev*, and Dan Klein
    Annual Meeting of the Association for Computational Linguistics (ACL), 2019

  7. Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation
    Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, and Kate Saenko
    Annual Meeting of the Association for Computational Linguistics (ACL), 2019

  8. Pragmatically Informative Text Generation
    Sheng Shen, Daniel Fried, Jacob Andreas, and Dan Klein
    North American Chapter of the Association for Computational Linguistics (NAACL), 2019

  9. Speaker-Follower Models for Vision-and-Language Navigation
    Daniel Fried*, Ronghang Hu*, Volkan Cirik*, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein**, and Trevor Darrell**
    Neural Information Processing Systems (NeurIPS), 2018

  10. Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
    Daniel Fried and Dan Klein
    Annual Meeting of the Association for Computational Linguistics (ACL), 2018

  11. Unified Pragmatic Models for Generating and Following Instructions
    Daniel Fried, Jacob Andreas, and Dan Klein
    North American Chapter of the Association for Computational Linguistics (NAACL), 2018

  12. Effective Inference for Generative Neural Parsing
    Mitchell Stern, Daniel Fried, and Dan Klein
    Empirical Methods in Natural Language Processing (EMNLP), 2017

  13. Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
    Daniel Fried*, Mitchell Stern*, and Dan Klein
    Annual Meeting of the Association for Computational Linguistics (ACL), 2017

  14. Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness
    Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, and Stephen Kobourov
    Language Resources and Evaluation Conference (LREC), 2016

  15. Low-Rank Tensors for Verbs in Compositional Distributional Semantics
    Daniel Fried, Tamara Polajnar, and Stephen Clark
    Annual Meeting of the Association for Computational Linguistics (ACL), 2015

  16. Higher-Order Lexical Semantic Models for Non-Factoid Answer Reranking
    Daniel Fried, Peter Jansen, Gustave Hahn-Powell, Mihai Surdeanu, and Peter Clark
    Transactions of the Association for Computational Linguistics (TACL), 2015

  17. Incorporating both Distributional and Relational Semantics in Word Representations
    Daniel Fried and Kevin Duh
    International Conference on Learning Representations (ICLR) Workshop, 2015

  18. Analyzing the Language of Food on Social Media
    Daniel Fried, Mihai Surdeanu, Stephen Kobourov, Melanie Hingle, and Dane Bell
    International Conference on Big Data, 2014

  19. Maps of Computer Science
    Daniel Fried and Stephen Kobourov
    Pacific Visualization Symposium (PacificVis), 2014

  20. Predicting Parallelization of Sequential Programs Using Supervised Learning
    Daniel Fried, Zhen Li, Ali Jannesari, and Felix Wolf
    International Conference on Machine Learning and Applications, 2013

  21. A Generative Probabilistic Framework for Learning Spatial Language
    Colin Dawson, Jeremy Wright, Antons Rebguns, Marco Valenzuela Escárcega, Daniel Fried, and Paul Cohen
    International Conference on Development and Learning, 2013. Best Paper Award

  22. Bayesian Geometric Modeling of Indoor Scenes
    Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, and Kobus Barnard
    Conference on Computer Vision and Pattern Recognition (CVPR), 2012

*,**: equal contribution

Invited Talks

Teaching

Instructor: CS188, Artificial Intelligence, UC Berkeley, Summer 2018

Teaching Assistant: CS188, Artificial Intelligence, UC Berkeley, Fall 2017

Teaching Assistant: CS245, Intro to Discrete Structures, University of Arizona, Spring 2012

Teaching Assistant: ISTA100, Great Ideas of the Information Age, University of Arizona, Fall 2011

Guest Lecturer: CS288, Natural Language Processing, Grounded Semantics, UC Berkeley, Spring 2020 & Spring 2021

Project Design: CS288, Natural Language Processing, UC Berkeley, Spring 2020

Service