@inproceedings{pmlr-v202-sachidananda23a,title={Global Selection of Contrastive Batches via Optimization on Sample Permutations},author={Sachidananda, Vin and Yang, Ziyi and Zhu, Chenguang},booktitle={International Conference on Machine Learning (ICML)},pages={29542--29562},year={2023},editor={Krause, Andreas and Brunskill, Emma and Cho, Kyunghyun and Engelhardt, Barbara and Sabato, Sivan and Scarlett, Jonathan},volume={202},series={Proceedings of Machine Learning Research},publisher={PMLR},url={https://proceedings.mlr.press/v202/sachidananda23a.html},talk={https://icml.cc/virtual/2023/poster/24490},}
2022
Dissertation
Inner product matrix algorithms for transfer and adaptation of language representations
@article{thesis,author={Sachidananda, Vin},journal={Stanford University Ph.D. Dissertation},publisher={Department of Electrical Engineering},title={Inner product matrix algorithms for transfer and adaptation of language representations},url={https://stacks.stanford.edu/file/druid:xj717fb0201/Vinayak_Sachidananda_Thesis_Final-augmented.pdf},year={2022},}
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations
Vin Sachidananda, Shao-Yen Tseng , Erik Marchi , and 2 more authors
@article{Sachidananda2022CALMCA,title={CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations},author={Sachidananda, Vin and Tseng, Shao-Yen and Marchi, Erik and Kajarekar, Sachin S. and Georgiou, Panayiotis G.},journal={arXiv},year={2022},volume={abs/2202.03587},url={https://api.semanticscholar.org/CorpusID:246652449},}
2021
Filtered Inner Product Projection for Crosslingual Embedding Alignment
Vin Sachidananda, Ziyi Yang , and Chenguang Zhu
In International Conference on Learning Representations (ICLR) , 2021
@inproceedings{sachidananda2021filtered,title={Filtered Inner Product Projection for Crosslingual Embedding Alignment},author={Sachidananda, Vin and Yang, Ziyi and Zhu, Chenguang},booktitle={International Conference on Learning Representations (ICLR)},year={2021},url={https://openreview.net/forum?id=A2gNouoXE7},}
EMNLP
Efficient Domain Adaptation of Language Models via Adaptive Tokenization
Vin Sachidananda, Jason Kessler , and Yi-An Lai
In Simple and Efficient NLP, Empirical Methods in Natural Language Processing (EMNLP) , 2021
@inproceedings{sachidananda-etal-2021-efficient,title={Efficient Domain Adaptation of Language Models via Adaptive Tokenization},author={Sachidananda, Vin and Kessler, Jason and Lai, Yi-An},editor={Moosavi, Nafise Sadat and Gurevych, Iryna and Fan, Angela and Wolf, Thomas and Hou, Yufang and Marasovi{\'c}, Ana and Ravi, Sujith},booktitle={Simple and Efficient NLP, Empirical Methods in Natural Language Processing (EMNLP)},year={2021},address={Virtual},publisher={Association for Computational Linguistics (ACL)},url={https://aclanthology.org/2021.sustainlp-1.16},doi={10.18653/v1/2021.sustainlp-1.16},pages={155--165},}
2019
ACL
Embedding Imputation with Grounded Language Information
Ziyi Yang , Chenguang Zhu , Vin Sachidananda, and 1 more author
In Proceedings of the Association for Computational Linguistics (ACL) , 2019
@inproceedings{yang-etal-2019-embedding,title={Embedding Imputation with Grounded Language Information},author={Yang, Ziyi and Zhu, Chenguang and Sachidananda, Vin and Darve, Eric},editor={Korhonen, Anna and Traum, David and M{\`a}rquez, Llu{\'\i}s},booktitle={Proceedings of the Association for Computational Linguistics (ACL)},year={2019},address={Florence, Italy},publisher={Association for Computational Linguistics (ACL)},url={https://aclanthology.org/P19-1326},doi={10.18653/v1/P19-1326},pages={3356--3361},}
2018
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
Zi Yin , Vin Sachidananda, and Balaji Prabhakar
In Advances in Neural Information Processing Systems (NeurIPS) , 2018
@inproceedings{NEURIPS2018_80b618eb,author={Yin, Zi and Sachidananda, Vin and Prabhakar, Balaji},booktitle={Advances in Neural Information Processing Systems (NeurIPS)},editor={Bengio, S. and Wallach, H. and Larochelle, H. and Grauman, K. and Cesa-Bianchi, N. and Garnett, R.},pages={},publisher={Curran Associates, Inc.},title={The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation},url={https://proceedings.neurips.cc/paper_files/paper/2018/file/80b618ebcac7aa97a6dac2ba65cb7e36-Paper.pdf},volume={31},year={2018},}
U.S. Patent
Assortment Optimization
Juan Manuel Chaneton , Gregory Yu , Vin Sachidananda, and 1 more author
@article{patent,title={Assortment Optimization},author={Chaneton, Juan Manuel and Yu, Gregory and Sachidananda, Vin and Farias, Vivek},year={2018},journal={US 2018 / 0032934 A1},}
@inproceedings{Sachidananda2017OnlineLF,title={Online Learning for Causal Bandits},author={Sachidananda, Vin and Brunskill, Emma},year={2017},booktitle={Semantic Scholar},url={https://api.semanticscholar.org/CorpusID:26215248},}