Jacob Kahn

According to our database, Jacob Kahn authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.

Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu

CoRR, 2024

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model.

Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy

CoRR, 2024

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li

CoRR, 2024

RA-DIT: Retrieval-Augmented Dual Instruction Tuning.

Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Altogether: Image Captioning via Re-aligning Alt-text.

Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Reasoning over Public and Private Data in Retrieval-Based Systems.

Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré

Trans. Assoc. Comput. Linguistics, 2023

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch.

Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao, Robin Scheibler, Samuele Cornell, Sean Kim, Stavros Petridis

CoRR, 2023

The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment.

Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell

CoRR, 2023

MODeL: Memory Optimizations for Deep Learning.

Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty

Proceedings of the International Conference on Machine Learning, 2023

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment.

Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch.

Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays.

Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty

CoRR, 2022

Flashlight: Enabling Innovation in Tools for Machine Learning.

Jacob D. Kahn, Vineel Pratap, Tatiana Likhomanenko, Qiantong Xu, Awni Y. Hannun, Jeff Cai, Paden Tomasello, Ann Lee, Edouard Grave, Gilad Avidov, Benoit Steiner, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the International Conference on Machine Learning, 2022

2021

Rethinking Evaluation in ASR: Are Our Models Robust Enough?

Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Paden Tomasello, Jacob Kahn, Gilad Avidov, Ronan Collobert, Gabriel Synnaeve

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

slimIPL: Language-Model-Free Iterative Pseudo-Labeling.

Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training.

Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski, Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap, Jacob Kahn, Ann Lee, Ronan Collobert, Gabriel Synnaeve, Michael Auli

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Differentiable Weighted Finite-State Transducers.

Awni Y. Hannun, Vineel Pratap, Jacob Kahn, Wei-Ning Hsu

CoRR, 2020

Iterative Pseudo-Labeling for Speech Recognition.

Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn, Awni Y. Hannun, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Scaling Up Online Speech Recognition Using ConvNets.

Vineel Pratap, Qiantong Xu, Jacob Kahn, Gilad Avidov, Tatiana Likhomanenko, Awni Y. Hannun, Vitaliy Liptchinsky, Gabriel Synnaeve, Ronan Collobert

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Libri-Light: A Benchmark for ASR with Limited or No Supervision.

Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Training for End-to-End Speech Recognition.

Jacob Kahn, Ann Lee, Awni Y. Hannun

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures.

Gabriel Synnaeve, Qiantong Xu, Jacob Kahn, Edouard Grave, Tatiana Likhomanenko, Vineel Pratap, Anuroop Sriram, Vitaliy Liptchinsky, Ronan Collobert

CoRR, 2019

Wav2Letter++: A Fast Open-source Speech Recognition System.

Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

wav2letter++: The Fastest Open-source Speech Recognition System.

Vineel Pratap, Awni Y. Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

CoRR, 2018