Search Results for author: Saurav Jha

Found 8 papers, 7 papers with code

Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization

1 code implementation24 Mar 2022 Francesco Pelosin, Saurav Jha, Andrea Torsello, Bogdan Raducanu, Joost Van de Weijer

In this paper, we investigate the continual learning of Vision Transformers (ViT) for the challenging exemplar-free scenario, with special focus on how to efficiently distill the knowledge of its crucial self-attention mechanism (SAM).

Continual Learning

Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation

no code implementations21 Sep 2021 Saurav Jha

With experiments on the WMT20 chat translation task dataset, we demonstrate that NMT confusion networks can help to reduce the perplexity of both n-gram and recurrent neural network LMs compared to those trained only on N-best translations.

Automatic Speech Recognition Machine Translation +1

Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization

1 code implementation6 Jul 2020 Saurav Jha, Martin Schiemer, Juan Ye

Given the growing trend of continual learning techniques for deep neural networks focusing on the domain of computer vision, there is a need to identify which of these generalizes well to other tasks such as human activity recognition (HAR).

Continual Learning Human Activity Recognition +1

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

1 code implementation21 Nov 2018 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 which few or no parallel corpora exist.

Machine Translation Translation

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

1 code implementation21 Nov 2018 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 Languages (MRLs) a notoriously complicated task.

Dependency Parsing Machine Translation +4

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

1 code implementation5 Apr 2018 Saurav Jha, Nikhil Agarwal, Suneeta Agarwal

We show that the Inception+SVM model establishes a state-of-the-art F1 score on the task of gender recognition of cartoon faces.

Face Detection Face Recognition +1

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