Jayneel Parekh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Pairwise Classification

Matrix Factorization

Objective Measures

Latent Semantic Space

Top Venues

Publications

Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord
A Concept-Based Explainability Framework for Large Multimodal Models. CoRR (2024)
Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models. CoRR (2024)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
Tackling Interpretability in Audio Classification Networks With Non-negative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization. CoRR (2023)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. NeurIPS (2022)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. CoRR (2022)
Jayneel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc
A Framework to Learn with Interpretation. NeurIPS (2021)
Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d'Alché-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh
Identifying the "right" level of explanation in a given situation. NeHuAI@ECAI (2020)
Valérie Beaudouin, Isabelle Bloch, David Bounie, Stéphan Clémençon, Florence d'Alché-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach. CoRR (2020)
Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang
Speech-to-Singing Conversion in an Encoder-Decoder Framework. CoRR (2020)
Jayneel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc
A Framework to Learn with Interpretation. CoRR (2020)
Jayneel Parekh, Preeti Rao, Yi-Hsuan Yang
Speech-To-Singing Conversion in an Encoder-Decoder Framework. ICASSP (2020)
Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh
Deep Pairwise Classification and Ranking for Predicting Media Interestingness. ICMR (2018)
Jayneel Parekh, Harshvardhan Tibrewal, Sanjeel Parekh
The IITB Predicting Media Interestingness System for MediaEval 2017. MediaEval (2017)
Jayneel Parekh, Sanjeel Parekh
The MLPBOON Predicting Media Interestingness System for MediaEval 2016. MediaEval (2016)