Sarath Chandar

is this you? claim profile

∙ 0 followers
Google

Ph.D. Student in Machine Learning at Université de Montré, Research Intern at IBM TJ Watson Research Lab

The Hanabi Challenge: A New Frontier for AI Research

From the early days of computing, games have been important testbeds for...
02/01/2019 ∙ by Nolan Bard, et al. ∙ 54 ∙ share

read it
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

Over the last decade, there has been significant progress in the field o...
04/26/2020 ∙ by Sai Krishna Gottipati, et al. ∙ 4 ∙ share

read it
Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

Neural generative models have been become increasingly popular when buil...
06/04/2019 ∙ by Chinnadhurai Sankar, et al. ∙ 2 ∙ share

read it
Structure Learning for Neural Module Networks

Neural Module Networks, originally proposed for the task of visual quest...
05/27/2019 ∙ by Vardaan Pahuja, et al. ∙ 1 ∙ share

read it
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes

We extend neural Turing machine (NTM) model into a dynamic neural Turing...
06/30/2016 ∙ by Caglar Gulcehre, et al. ∙ 0 ∙ share

read it
Memory Augmented Neural Networks with Wormhole Connections

Recent empirical results on long-term dependency tasks have shown that n...
01/30/2017 ∙ by Caglar Gulcehre, et al. ∙ 0 ∙ share

read it
GuessWhat?! Visual object discovery through multi-modal dialogue

We introduce GuessWhat?!, a two-player guessing game as a testbed for re...
11/23/2016 ∙ by Harm de Vries, et al. ∙ 0 ∙ share

read it
A Deep Reinforcement Learning Chatbot

We present MILABOT: a deep reinforcement learning chatbot developed by t...
09/07/2017 ∙ by Iulian V. Serban, et al. ∙ 0 ∙ share

read it
A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation

Interlingua based Machine Translation (MT) aims to encode multiple langu...
06/15/2016 ∙ by Amrita Saha, et al. ∙ 0 ∙ share

read it
Hierarchical Memory Networks

Memory networks are neural networks with an explicit memory component th...
05/24/2016 ∙ by Sarath Chandar, et al. ∙ 0 ∙ share

read it
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Over the past decade, large-scale supervised learning corpora have enabl...
03/22/2016 ∙ by Iulian Vlad Serban, et al. ∙ 0 ∙ share

read it
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Recently there has been a lot of interest in learning common representat...
10/13/2015 ∙ by Janarthanan Rajendran, et al. ∙ 0 ∙ share

read it
Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds

Recent work has explored methods for learning continuous vector space wo...
07/28/2015 ∙ by Sridhar Mahadevan, et al. ∙ 0 ∙ share

read it
Clustering is Efficient for Approximate Maximum Inner Product Search

Efficient Maximum Inner Product Search (MIPS) is an important task that ...
07/21/2015 ∙ by Alex Auvolat, et al. ∙ 0 ∙ share

read it
Correlational Neural Networks

Common Representation Learning (CRL), wherein different descriptions (or...
04/27/2015 ∙ by Sarath Chandar, et al. ∙ 0 ∙ share

read it
Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph

While conversing with chatbots, humans typically tend to ask many questi...
01/31/2018 ∙ by Amrita Saha, et al. ∙ 0 ∙ share

read it
A Deep Reinforcement Learning Chatbot (Short Version)

We present MILABOT: a deep reinforcement learning chatbot developed by t...
01/20/2018 ∙ by Iulian V. Serban, et al. ∙ 0 ∙ share

read it
Language Expansion In Text-Based Games

Text-based games are suitable test-beds for designing agents that can le...
05/17/2018 ∙ by Ghulam Ahmed Ansari, et al. ∙ 0 ∙ share

read it
Environments for Lifelong Reinforcement Learning

To achieve general artificial intelligence, reinforcement learning (RL) ...
11/26/2018 ∙ by Khimya Khetarpal, et al. ∙ 0 ∙ share

read it
On Training Recurrent Neural Networks for Lifelong Learning

Capacity saturation and catastrophic forgetting are the central challeng...
11/16/2018 ∙ by Shagun Sodhani, et al. ∙ 0 ∙ share

read it
Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies

Modelling long-term dependencies is a challenge for recurrent neural net...
01/22/2019 ∙ by Sarath Chandar, et al. ∙ 0 ∙ share

read it
Towards Lossless Encoding of Sentences

A lot of work has been done in the field of image compression via machin...
06/04/2019 ∙ by Gabriele Prato, et al. ∙ 0 ∙ share

read it
Edge Replacement Grammars: A Formal Language Approach for Generating Graphs

Graphs are increasingly becoming ubiquitous as models for structured dat...
02/11/2019 ∙ by Revanth Reddy, et al. ∙ 0 ∙ share

read it

Sarath Chandar

Featured Co-authors

Yoshua Bengio

Kyunghyun Cho

Aaron Courville

Joelle Pineau

Doina Precup

Jian Tang

Hugo Larochelle

Balaraman Ravindran

Pascal Vincent

Jie Fu

Marc G. Bellemare

The Hanabi Challenge: A New Frontier for AI Research

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study

Structure Learning for Neural Module Networks

Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes

Memory Augmented Neural Networks with Wormhole Connections

GuessWhat?! Visual object discovery through multi-modal dialogue

A Deep Reinforcement Learning Chatbot

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation

Hierarchical Memory Networks

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds

Clustering is Efficient for Approximate Maximum Inner Product Search

Correlational Neural Networks

Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph

A Deep Reinforcement Learning Chatbot (Short Version)

Language Expansion In Text-Based Games

Environments for Lifelong Reinforcement Learning

On Training Recurrent Neural Networks for Lifelong Learning

Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies

Towards Lossless Encoding of Sentences

Edge Replacement Grammars: A Formal Language Approach for Generating Graphs