Koustuv Sinha | DeepAI

DeepAI AI Chat

Featured Co-authors

Joelle Pineau
116 publications
Hugo Larochelle
75 publications
Douwe Kiela
70 publications
Christopher Pal
63 publications
Siva Reddy
45 publications
Adina Williams
41 publications
William L. Hamilton
39 publications
Roger Levy
36 publications
Nicolas Ballas
36 publications
Peter Henderson
34 publications
Nan Rosemary Ke
33 publications

∙ 12/18/2022

Language model acceptability judgements are not always robust to context

Targeted syntactic evaluations of language models ask whether models sho...

11 Koustuv Sinha, et al. ∙

∙ 10/23/2022

The Curious Case of Absolute Position Embeddings

Transformer language models encode the notion of word order using positi...

0 Koustuv Sinha, et al. ∙

∙ 05/22/2022

How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts

Neural Machine Translation systems built on top of Transformer-based arc...

9 Shanya Sharma, et al. ∙

∙ 05/12/2021

Evaluating Gender Bias in Natural Language Inference

Gender-bias stereotypes have recently raised significant ethical concern...

10 Shanya Sharma, et al. ∙

∙ 04/15/2021

Sometimes We Want Translationese

Rapid progress in Neural Machine Translation (NMT) systems over the last...

5 Prasanna Parthasarathi, et al. ∙

∙ 04/14/2021

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

A possible explanation for the impressive performance of masked language...

7 Koustuv Sinha, et al. ∙

∙ 01/13/2021

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...

12 Anuroop Sriram, et al. ∙

∙ 12/30/2020

Unnatural Language Inference

Natural Language Understanding has witnessed a watershed moment with the...

5 Koustuv Sinha, et al. ∙

∙ 10/06/2020

A Closer Look at Codistillation for Distributed Training

Codistillation has been proposed as a mechanism to share knowledge among...

0 Shagun Sodhani, et al. ∙

∙ 09/30/2020

Measuring Systematic Generalization in Neural Proof Generation with Transformers

We are interested in understanding how well Transformer language models ...

6 Nicolas Gontier, et al. ∙

∙ 07/21/2020

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,...

44 Shagun Sodhani, et al. ∙

∙ 05/08/2020

Probing Linguistic Systematicity

Recently, there has been much interest in the question of whether deep n...

0 Emily Goodwin, et al. ∙

∙ 05/01/2020

Learning an Unreferenced Metric for Online Dialogue Evaluation

Evaluating the quality of a dialogue interaction between two agents is a...

0 Koustuv Sinha, et al. ∙

∙ 03/27/2020

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...

0 Joelle Pineau, et al. ∙

∙ 03/14/2020

Evaluating Logical Generalization in Graph Neural Networks

Recent research has highlighted the role of relational inductive biases ...

9 Koustuv Sinha, et al. ∙

∙ 08/16/2019

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

The recent success of natural language understanding (NLU) systems has b...

1 Koustuv Sinha, et al. ∙

∙ 11/07/2018

Compositional Language Understanding with Text-based Relational Reasoning

Neural networks for natural language reasoning have largely focused on e...

0 Koustuv Sinha, et al. ∙

∙ 11/07/2018

The RLLChatbot: a solution to the ConvAI Challenge

Current conversational systems can follow simple commands and answer bas...

0 Nicolas A. Gontier, et al. ∙

∙ 11/04/2018

Adversarial Gain

Adversarial examples can be defined as inputs to a model which induce a ...

0 Peter Henderson, et al. ∙

∙ 11/24/2017

Ethical Challenges in Data-Driven Dialogue Systems

The use of dialogue systems as a medium for human-machine interaction is...

0 Peter Henderson, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world