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ORCIDVedanuj Goswami
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2020 – today
- 2023
[c20]Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan, Francisco Guzmán:
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation. ACL (1) 2023: 2740-2756- [c19]Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale:
Causes and Cures for Interference in Multilingual Translation. ACL (1) 2023: 15849-15863 - [c18]Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Pino, Benoît Sagot, Holger Schwenk:
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations. ACL (1) 2023: 16251-16269 - [c17]Haoran Xu, Jean Maillard, Vedanuj Goswami:
Language-Aware Multilingual Machine Translation with Self-Supervised Learning. EACL (Findings) 2023: 526-539 - [c16]Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer:
Revisiting Machine Translation for Cross-lingual Classification. EMNLP 2023: 6489-6499 - [c15]Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami:
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. EMNLP (Findings) 2023: 12858-12870 - [c14]Mohamed Anwar, Bowen Shi, Vedanuj Goswami, Wei-Ning Hsu, Juan Pino, Changhan Wang:
MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation. INTERSPEECH 2023: 4064-4068 - [i18]Haoran Xu, Jean Maillard, Vedanuj Goswami:
Language-Aware Multilingual Machine Translation with Self-Supervised Learning. CoRR abs/2302.05008 (2023) - [i17]Mohamed Anwar, Bowen Shi, Vedanuj Goswami, Wei-Ning Hsu, Juan Pino, Changhan Wang:
MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translation. CoRR abs/2303.00628 (2023) - [i16]Haoran Xu, Maha Elbayad, Kenton Murray, Jean Maillard, Vedanuj Goswami:
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity. CoRR abs/2305.02176 (2023) - [i15]Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer:
Revisiting Machine Translation for Cross-lingual Classification. CoRR abs/2305.14240 (2023) - [i14]Hongyu Gong, Ning Dong, Sravya Popuri, Vedanuj Goswami, Ann Lee, Juan Pino:
Multilingual Speech-to-Speech Translation into Multiple Target Languages. CoRR abs/2307.08655 (2023) - [i13]Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom:
Llama 2: Open Foundation and Fine-Tuned Chat Models. CoRR abs/2307.09288 (2023) - 2022
- [c13]Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela:
FLAVA: A Foundational Language And Vision Alignment Model. CVPR 2022: 15617-15629 - [c12]Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan:
Tricks for Training Sparse Translation Models. NAACL-HLT 2022: 3340-3345 - [i12]Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Y. Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loïc Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Jeff Wang:
No Language Left Behind: Scaling Human-Centered Machine Translation. CoRR abs/2207.04672 (2022) - [i11]Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Miguel Pino, Benoît Sagot, Holger Schwenk:
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations. CoRR abs/2211.04508 (2022) - [i10]Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale:
Causes and Cures for Interference in Multilingual Translation. CoRR abs/2212.07530 (2022) - 2021
- [c11]Songwei Ge, Vedanuj Goswami, Larry Zitnick, Devi Parikh:
Creative Sketch Generation. ICLR 2021 - [c10]Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen:
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond. ICLR 2021 - [c9]Sasha Sheng, Amanpreet Singh, Vedanuj Goswami, Jose Alberto Lopez Magana, Tristan Thrush, Wojciech Galuba, Devi Parikh, Douwe Kiela:
Human-Adversarial Visual Question Answering. NeurIPS 2021: 20346-20359 - [c8]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV 2021: 535-544 - [i9]Sasha Sheng, Amanpreet Singh, Vedanuj Goswami, Jose Alberto Lopez Magana, Wojciech Galuba, Devi Parikh, Douwe Kiela:
Human-Adversarial Visual Question Answering. CoRR abs/2106.02280 (2021) - [i8]Dheeru Dua, Shruti Bhosale, Vedanuj Goswami, James Cross, Mike Lewis, Angela Fan:
Tricks for Training Sparse Translation Models. CoRR abs/2110.08246 (2021) - [i7]Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela:
FLAVA: A Foundational Language And Vision Alignment Model. CoRR abs/2112.04482 (2021) - 2020
- [c7]Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee:
12-in-1: Multi-Task Vision and Language Representation Learning. CVPR 2020: 10434-10443 - [c6]Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan
, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami:
Building Recommender Systems with PyTorch. KDD 2020: 3525-3526 - [c5]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Casey A. Fitzpatrick, Peter Bull, Greg Lipstein, Tony Nelli, Ron Zhu, Niklas Muennighoff, Riza Velioglu, Jewgeni Rose, Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis, Vlad Sandulescu, Umut Ozertem, Patrick Pantel, Lucia Specia, Devi Parikh:
The Hateful Memes Challenge: Competition Report. NeurIPS (Competition and Demos) 2020: 344-360 - [c4]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes. NeurIPS 2020 - [i6]Amanpreet Singh, Vedanuj Goswami, Devi Parikh:
Are we pretraining it right? Digging deeper into visio-linguistic pretraining. CoRR abs/2004.08744 (2020) - [i5]Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen:
Revisiting Modulated Convolutions for Visual Counting and Beyond. CoRR abs/2004.11883 (2020) - [i4]Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, Davide Testuggine:
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes. CoRR abs/2005.04790 (2020) - [i3]Songwei Ge, Vedanuj Goswami, C. Lawrence Zitnick, Devi Parikh:
Creative Sketch Generation. CoRR abs/2011.10039 (2020)
2010 – 2019
- 2019
- [c3]Albert Pumarola, Vedanuj Goswami, Francisco Vicente, Fernando De la Torre, Francesc Moreno-Noguer:
Unsupervised Image-to-Video Clothing Transfer. ICCV Workshops 2019: 3181-3184 - [i2]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR abs/1907.08340 (2019) - [i1]Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee:
12-in-1: Multi-Task Vision and Language Representation Learning. CoRR abs/1912.02315 (2019) - 2016
- [c2]Spencer Rugaber, Shruti Bhati, Vedanuj Goswami, Evangelia Spiliopoulou, Sasha Azad, Sridevi Koushik, Rishikesh Kulkarni, Mithun Kumble, Sriya Sarathy, Ashok K. Goel:
Knowledge Extraction and Annotation for Cross-Domain Textual Case-Based Reasoning in Biologically Inspired Design. ICCBR 2016: 342-355 - 2015
- [c1]Vedanuj Goswami, Samir Borgohain:
A Grammarless Language Generation Algorithm Based on Idiotypic Artificial Immune Networks. ACALCI 2015: 243-257
Coauthor Index
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