Arjun Akula (Arjun Reddy Akula)

PhD Candidate
Center for Vision, Cognition, Learning, and Autonomy
University of California, Los Angeles (UCLA)

Email: aakula-at-ucla.edu
Previous: Google Research; Amazon AI; IBM Research; IIIT Hyderabad


About

I am currently a 4th year PhD candidate at UCLA jointly supervised by Prof. Song-Chun Zhu (UCLA) and Prof. Joyce Chai (UMich). My research interests are in computer vision, natural language processing (NLP), statistical modeling and inference, and deep learning, with the focuses on interpretability, robustness, and trust in vision & language grounding models.

I also work closely with Prof. Siva Reddy (Mila & Stanford), Prof. Sinisa Todorovic (Oregon State University), Dr. Spandana Gella (Amazon AI & University of Edinburgh), Dr. Xiaodan Liang (CMU), and Dr. Changsong Liu (UCLA & DMAI).

Prior to this, I was a Research Software Engineer at IBM Research in the Cognitive Research Department supervised by Dr. Gargi B Dasgupta. I did my Bachelors and Masters (by Research) in Computer Science and Engineering at IIIT Hyderabad, India. For my masters thesis, I worked on Question Answering Systems and Dialogue Systems at Language Technologies Research Center (LTRC) under the supervision of Prof. Radhika Mamidi and Prof. Rajeev Sangal.

Academic Activities
Sub-Reviewer: CVPR 2019EMNLP-IJCNLP 2019ACL 2019ECCV 2018EMNLP 2018EMNLP 2017
Panelist/Organizer: UCLA Data Science Workshop 2018, UCLA ASA DataFest 2017
Graduate Admission Review: CS Department, UCLA, 2020

News

Selected Publications

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines
Arjun R Akula, Shuai Wang, Song-Chun Zhu.
AAAI 2020
(acceptance rate: 20.5%) [Oral, Spotlight]
[abs] [pdf] [code][poster][slides]
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions
Arjun R Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy.
ACL 2020
(acceptane rate: 17.6%) [Oral Presentation]
[abs] [data] [pdf] [code] [slides] [poster]
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
Arjun R Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y Chai, Song-Chun Zhu.
Under review, by AI Journal, 2020 (arXiv:1909.06907).
(A short version was presented at CVPRW 2019).
[abs] [pdf] [code]
Visual Discourse Parsing
Arjun R Akula, Song-Chun Zhu.
CVPR 2019 workshop on Language and Vision (arXiv:1903.02252v1) [Oral].
Also, selected as one among the three best oral papers.
[abs] [pdf] [code] [slides] [poster]
Explainable AI as Collaborative Task Solving
Arjun R Akula, Changsong Liu, Sinisa Todorovic, Joyce Y Chai, Song-Chun Zhu.
CVPR 2019 workshop on Explainable AI
[abs] [pdf] [code] [poster]
Natural Language Interaction with Explainable AI Models
Arjun R Akula, Sinisa Todorovic, Joyce Y Chai, Song-Chun Zhu.
CVPR 2019 workshop on Explainable AI
[abs] [pdf] [code]
Automatic problem extraction and analysis from unstructured text in IT tickets
S Agarwal, V Aggarwal, Arjun Akula, Gargi Dasgupta, G Sridhara
IBM Journal of Research and Development 2017
[abs] [pdf]
Classification of Attributes in a Natural Language Query into Different SQL Clauses
Ashish Palakurthi, Ruthu S.M., Arjun Akula, and Radhika Mamidi.
Recent Advances in Natural Language Processing (RANLP 2015)
[abs] [pdf]
Towards Auto-Remediation in Services Delivery: Context-based Classification of Noisy and Unstructured Tickets
Gargi Dasgupta, Tapan Nayak, Arjun Akula, Shivali Agarwal, Shripad Nadgowda.
International Conference on Service-Oriented Computing (ICSOC 2014)
[abs] [pdf]
A Novel Approach towards Incorporating Context Processing Capabilities in NLIDB system
Arjun Akula, Rajeev Sangal and Radhika Mamidi.
International Joint Conference on Natural Language Processing (IJCNLP 2013)
[abs] [pdf]
A Novel Approach towards Building a Portable NLIDB system using the CPG Framework
Abhijeet Gupta, Arjun Akula, Deepak Malladi, Puneeth Kukkadapu, Vinay Ainavolu and Rajeev Sangal.
International Conference on Asian Language Processing (IALP 2012)
[abs] [pdf]

Patents

Analyzing Unstructured Ticket Text Using Discourse Cues in Communication Logs
Arjun Akula, Gargi B Dasgupta, Tapan K Nayak
Disclosure Number: IN920150227, July 2015. US Patent App.
A System and Method for Structured Representation and Classification of Unstructured Tickets in Services Delivery
Shivali A, Arjun Akula, Gargi B, Tapan K, Shripad J.
Disclosure Number: IN820140677, Oct 2014. US Patent App.
Measuring Effective Utilization of a Service Practitioner for Ticket Resolution via a Wearable Device
Arjun Akula, Gargi Dasgupta, Vijay Ekambaram, Ramasuri Narayanam.
Disclosure Number: IN920160178US1, Aug 2016. US Patent App

Education

University of California, Los Angeles (UCLA)
Sep. 2016 -- Present
PhD candidate
Advisor: Prof. Song-Chun Zhu, Prof. Joyce Chai
IIIT Hyderabad, India
Jun. 2012 -- Mar. 2014
Masters (by Research/Thesis) in Computer Science and Engineering
Advisor: Prof. Radhika Mamidi, Prof. Rajeev Sangal
IIIT Hyderabad, India
Aug. 2008 -- Jun. 2012
Bachelors in Computer Science and Engineering

Awards

  • Research Award - 2012 at IIIT Hyderabad for outstanding research work on Question Answering Systems.
  • Research Division Award - 2016 at IBM Research for proposing a novel text classification algorithm to classify problem tickets in IT Incident Management Process.
  • Outstanding Research Accomplishment Award - 2015 at IBM Research for designing and developing a web based reporting tool to measure adoption, utilization and business benefits of dynamic automations in IT Incident Management Process.

Invited Talks

Context based Natural Language Interfaces to Databases (NLIDB) and Dialogue Systems
Sixth IIIT-H Advanced Summer School on NLP (IASNLP 2015). Hyderabad, India