activity
20172026
most citedImproving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

204 citations · 369 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 6 cited

Evaluating Gender Bias in Natural Language Inference

Shanya Sharma, Manan Dey, Koustuv Sinha

Gender-bias stereotypes have recently raised significant ethical concerns in natural language processing. However, progress in detection and evaluation of gender bias in natural la…

cs.CL2021★ 4 cited

Sometimes We Want Translationese

Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau +1

Rapid progress in Neural Machine Translation (NMT) systems over the last few years has been driven primarily towards improving translation quality, and as a secondary focus, improv…

cs.CL2021★ 1 cited

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

Koustuv Sinha, Robin Jia, Dieuwke Hupkes +3

A possible explanation for the impressive performance of masked language model (MLM) pre-training is that such models have learned to represent the syntactic structures prevalent i…

cs.CV2021★ 33 cited

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

Anuroop Sriram, Matthew Muckley, Koustuv Sinha +7

The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients presenting to emergency departments a necessity. M…

cs.CL2021

UnNatural Language Inference

Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau +1

Recent investigations into the inner-workings of state-of-the-art large-scale pre-trained Transformer-based Natural Language Understanding (NLU) models indicate that they appear to…