Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

arXiv

A Transformer Model for Symbolic Regression towards Scientific Discovery

NeurIPS 2023 AI for Science Workshop (Oral)

This work was mainly done while I was a research intern at OMRON SINIC X Corporation.

torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP

EMNLP 2023 Workshop for Natural Language Processing Open Source Software (NLP-OSS)

This work was done prior to joining Amazon.

SC2 Benchmark: Supervised Compression for Split Computing

Transactions on Machine Learning Research (TMLR)

This work was done prior to joining Amazon.

Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages

ACL 2023 (Findings)

This work was done while Shivanshu Gupta was an applied science intern at Amazon Alexa AI.

SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

ICDCS 2023

This work was done prior to joining Amazon.

Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

EMNLP 2022 (Findings)

This work was done while I was an applied science intern at Amazon Alexa AI.

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

ACM Computing Surveys (CSUR)

SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery

NeurIPS 2022 AI for Science Workshop

This work was mainly done while I was a research intern at OMRON SINIC X Corporation.

BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing

IEEE WoWMoM 2022

Supervised Compression for Resource-Constrained Edge Computing Systems

WACV 2022

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

ICPR 2020 Workshop on Reproducible Research in Pattern Recognition (RRPR)

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

ICPR 2020

COVIDLies: Detecting COVID-19 Misinformation on Social Media

EMNLP 2020 Workshop on NLP for COVID-19 (Part 2)

* First four authors contributed equally.

Optimal Task Allocation for Time-Varying Edge Computing Systems with Split DNNs

IEEE GLOBECOM 2020

Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems

IEEE Access

ZOTBOT: Using Reading Comprehension and Commonsense Reasoning in Conversational Agents

Alexa Prize 2019

* Apart from the first and last authors, the authors are listed in alphabetical order.

Split Computing for Complex Object Detectors: Challenges and Preliminary Results

MobiCom 2020 Workshop on Embedded and Mobile Deep Learning (EMDL)

Citations Beyond Self Citations: Identifying Authors, Affiliations, and Nationalities in Scientific Papers

JCDL 2020 Workshop on Mining Scientific Publications (WOSP)

Reranking for Efficient Transformer-based Answer Selection

SIGIR 2020

This work was done while I was an applied science intern at Amazon Alexa.

Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems

MobiCom 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges (HotEdgeVideo)

Screen Unlocking by Spontaneous Flick Reactions with One-class Classification Approaches

IEEE ICMLA 2016

"Personal Authentication Device, Personal Authentication Method, and Personal Authentication Program," JP Patent No. 6707271

Keyboard Dependency of Personal Identification Performance by Keystroke Dynamics in Free Text Typing

Journal of Information Security

Profile Generation Methods for Reinforcing Robustness of Keystroke Authentication in Free Text Typing

Journal of Information Security

Performance Assessment in Keystroke Dynamics by Combined Profile Documents for Free Text Typing

SICE 2013

Robustness of Keystroke Dynamics against Changing in Input and Recognition Conditions for Japanese Atypical Text

ISTS 2012