Sarath Chandar

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

Maximum Reward Formulation In Reinforcement Learning

Reinforcement learning (RL) algorithms typically deal with maximizing th...
10/08/2020 ∙ by Sai Krishna Gottipati, et al. ∙ 23 ∙ share

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MLMLM: Link Prediction with Mean Likelihood Masked Language Model

Knowledge Bases (KBs) are easy to query, verifiable, and interpretable. ...
09/15/2020 ∙ by Louis Clouâtre, et al. ∙ 5 ∙ share

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How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics

Though generative dialogue modeling is widely seen as a language modelin...
08/24/2020 ∙ by Prasanna Parthasarathi, et al. ∙ 11 ∙ share

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Slot Contrastive Networks: A Contrastive Approach for Representing Objects

Unsupervised extraction of objects from low-level visual data is an impo...
07/18/2020 ∙ by Evan Racah, et al. ∙ 6 ∙ share

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The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning

Deep model-based Reinforcement Learning (RL) has the potential to substa...
07/07/2020 ∙ by Harm van Seijen, et al. ∙ 2 ∙ share

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PatchUp: A Regularization Technique for Convolutional Neural Networks

Large capacity deep learning models are often prone to a high generaliza...
06/14/2020 ∙ by Mojtaba Faramarzi, et al. ∙ 42 ∙ share

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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

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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

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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

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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

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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

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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

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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

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Environments for Lifelong Reinforcement Learning

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Hierarchical Memory Networks

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

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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

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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

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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

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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

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Correlational Neural Networks

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

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Sarath Chandar

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