Koustuv Sinha

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McGill University

Sometimes We Want Translationese

Rapid progress in Neural Machine Translation (NMT) systems over the last...
04/15/2021 ∙ by Prasanna Parthasarathi, et al. ∙ 5 ∙ share

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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

A possible explanation for the impressive performance of masked language...
04/14/2021 ∙ by Koustuv Sinha, et al. ∙ 7 ∙ share

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COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction

The rapid spread of COVID-19 cases in recent months has strained hospita...
01/13/2021 ∙ by Anuroop Sriram, et al. ∙ 12 ∙ share

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Unnatural Language Inference

Natural Language Understanding has witnessed a watershed moment with the...
12/30/2020 ∙ by Koustuv Sinha, et al. ∙ 5 ∙ share

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A Closer Look at Codistillation for Distributed Training

Codistillation has been proposed as a mechanism to share knowledge among...
10/06/2020 ∙ by Shagun Sodhani, et al. ∙ 0 ∙ share

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Measuring Systematic Generalization in Neural Proof Generation with Transformers

We are interested in understanding how well Transformer language models ...
09/30/2020 ∙ by Nicolas Gontier, et al. ∙ 6 ∙ share

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Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

This report documents ideas for improving the field of machine learning,...
07/21/2020 ∙ by Shagun Sodhani, et al. ∙ 44 ∙ share

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Probing Linguistic Systematicity

Recently, there has been much interest in the question of whether deep n...
05/08/2020 ∙ by Emily Goodwin, et al. ∙ 0 ∙ share

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Learning an Unreferenced Metric for Online Dialogue Evaluation

Evaluating the quality of a dialogue interaction between two agents is a...
05/01/2020 ∙ by Koustuv Sinha, et al. ∙ 0 ∙ share

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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

One of the challenges in machine learning research is to ensure that pre...
03/27/2020 ∙ by Joelle Pineau, et al. ∙ 0 ∙ share

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Evaluating Logical Generalization in Graph Neural Networks

Recent research has highlighted the role of relational inductive biases ...
03/14/2020 ∙ by Koustuv Sinha, et al. ∙ 9 ∙ share

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CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

The recent success of natural language understanding (NLU) systems has b...
08/16/2019 ∙ by Koustuv Sinha, et al. ∙ 1 ∙ share

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Compositional Language Understanding with Text-based Relational Reasoning

Neural networks for natural language reasoning have largely focused on e...
11/07/2018 ∙ by Koustuv Sinha, et al. ∙ 0 ∙ share

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The RLLChatbot: a solution to the ConvAI Challenge

Current conversational systems can follow simple commands and answer bas...
11/07/2018 ∙ by Nicolas A. Gontier, et al. ∙ 0 ∙ share

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Adversarial Gain

Adversarial examples can be defined as inputs to a model which induce a ...
11/04/2018 ∙ by Peter Henderson, et al. ∙ 0 ∙ share

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Ethical Challenges in Data-Driven Dialogue Systems

The use of dialogue systems as a medium for human-machine interaction is...
11/24/2017 ∙ by Peter Henderson, et al. ∙ 0 ∙ share

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Koustuv Sinha

Featured Co-authors

Joelle Pineau

Hugo Larochelle

Douwe Kiela

Christopher Pal

William L. Hamilton

Adina Williams

Joel Lehman

Nicolas Ballas

Shagun Sodhani

Dieuwke Hupkes

Peter Henderson

Sometimes We Want Translationese

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction

Unnatural Language Inference

A Closer Look at Codistillation for Distributed Training

Measuring Systematic Generalization in Neural Proof Generation with Transformers

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

Probing Linguistic Systematicity

Learning an Unreferenced Metric for Online Dialogue Evaluation

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

Evaluating Logical Generalization in Graph Neural Networks

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Compositional Language Understanding with Text-based Relational Reasoning

The RLLChatbot: a solution to the ConvAI Challenge

Adversarial Gain

Ethical Challenges in Data-Driven Dialogue Systems