Saksham Singhal

According to our database1, Saksham Singhal authored at least 19 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Language Is Not All You Need: Aligning Perception with Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Magneto: A Foundation Transformer.
Proceedings of the International Conference on Machine Learning, 2023

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Foundation Transformers.
CoRR, 2022

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.
CoRR, 2022

On the Representation Collapse of Sparse Mixture of Experts.
CoRR, 2022

On the Representation Collapse of Sparse Mixture of Experts.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bootstrapping a high quality multilingual multimodal dataset for Bletchley.
Proceedings of the Asian Conference on Machine Learning, 2022

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.
CoRR, 2021

DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders.
CoRR, 2021

Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Consistency Regularization for Cross-Lingual Fine-Tuning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders.
CoRR, 2020

2015
Dispersion Based Similarity for Mining Similar Papers in Citation Network.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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