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Saurav Jha

Mila - the Quebec AI Institute

14 papers hereh-index 8263 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author9
  • middle author2

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL3
  • cs.LG3
  • cs.AI1
  • eess.SP1
affiliations
  • Mila - the Quebec AI Institute
  • Polytechnique Montreal
Homepage
same name
  • Saurav Jha — 3 papers, h 2
  • Saurav Jha — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedContinual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis

66 citations · 101 across the 13 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.CL2018

Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages

Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh

Out-of-vocabulary (OOV) words can pose serious challenges for machine translation (MT) tasks, and in particular, for low-resource language (LRL) pairs, i.e., language pairs for whi…

cs.CL2018★ 4 cited

Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction

Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh

The ambiguities introduced by the recombination of morphemes constructing several possible inflections for a word makes the prediction of syntactic traits in Morphologically Rich L…

cs.CV2018★ 10 cited

Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition Systems

Saurav Jha, Nikhil Agarwal, Suneeta Agarwal

Given the recent deep learning advancements in face detection and recognition techniques for human faces, this paper answers the question "how well would they work for cartoons'?"…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.