1 code implementation • 5 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.
1 code implementation • 21 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.
1 code implementation • 21 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.
1 code implementation • 6 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).
1 code implementation • 19 Apr 2021 • Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye
This paper aims to assess to what extent such continual learning techniques can be applied to the HAR domain.
no code implementations • 21 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 Automatic Speech Recognition (ASR) +5
1 code implementation • 24 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).
1 code implementation • 1 Sep 2022 • Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao
We shed light on their potential to bring several recent advances in other deep learning domains under one umbrella.
no code implementations • ICCV 2023 • Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize new compositions of seen attributes and objects.
1 code implementation • 28 Mar 2024 • Saurav Jha, Dong Gong, Lina Yao
The deterministic nature of the existing finetuning methods makes them overlook the many possible interactions across the modalities and deems them unsafe for high-risk CL tasks requiring reliable uncertainty estimation.