sandeep@mila
:
~
$
cat sandeep.txt
********
About Me
******** Hi, I'm
Sandeep Subramanian
, a
PhD student
at MILA (Université de Montréal). I'm advised by Chris Pal and Yoshua Bengio. At present, I'm interested in building, understanding and manipulating distributed representations of text. What is the singularity? | | | | ( )―――――( )―――――( )―――――( )――――― | ------------------------------------------ | -( )―――――( )―――――( )―――――( ) | | | | The optimal 1x1 convolution Previously, I was a
masters student
at
Carnegie Mellon Unviersity. ****
News
**** [
1
] Our paper on training
generative models for text
by
modeling the distribution of general purpose sentence encoders has been accepted at
NIPS 2018!
[
2
] I worked on text-rewriting during my internship
at
Facebook AI Research, New York
this summer
with Marc'Aurelio Ranzato. [
3
] Our paper on learning general purpose
distributed representations of sentences
was accepted.
at
ICLR 2018.
[Code][Paper]
*******
Contact
******* sandeep.subramanian.1@umontreal.ca GitHub Google Scholar Curriculum Vitae
--more--
************
Publications
************ [
1
]
Multiple Attribute Text-Rewriting
[ICLR 2019 (Under Review)] [
2
]
Towards Text Generation with Adversarilly
Learned Neural Outlines
[NIPS 2018]
[
3
]
Fortified Networks: Improving the
Robustness of Deep Networks by Modeling
the Manifold of Hidden Representations
[arXiv] [
4
]
Learning General Purpose Distributed
Sentence Representations via Large Scale
Multi-task Learning
[ICLR 2018]
[
5
]
Deep Complex Networks
[ICLR 2018]
[
6
]
A Deep Reinforcement Learning Chatbot
[NIPS 2017 Demo] [
7
]
Neural Models for Key Phrase Detection
and Question Generation
[ACL 2018 MRQA Workshop] [
8
]
Adversarial Generation of Natural Language
[ACL 2017 REPL4NLP] [
9
]
Machine Comprehension by Text-to-Text
Neural Question Generation
[ACL 2017 REPL4NLP] [
10
]
Neural architectures for named entity
recognition
[NAACL 2016]
[
11
]
A pilot study on the prevalence of DNA
palindromes in breast cancer genomes
[BMC]
*********
Reviewing
********* [
1
] NIPS (2018) / ICML (2018) / NIPS (2017)
Credits to Varsha Embar for the design idea and @boredyannlecun for the quote.