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ORCIDBryan Catanzaro
Bryan Christopher Catanzaro
Person information
- affiliation: Baidu Inc., Sunnyvale, USA
- affiliation: University of California, Berkeley, Department of Electrical Engineering and Computer Sciences
- affiliation: Brigham Young University, Electrical and Computer Engineering Department
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2020 – today
- 2024
[j8]Aysegul Dundar
, Jun Gao, Andrew Tao, Bryan Catanzaro:
Progressive Learning of 3D Reconstruction Network From 2D GAN Data. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 793-804 (2024)- [c73]Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro:
CircuitVAE: Efficient and Scalable Latent Circuit Optimization. DAC 2024: 302:1-302:6 - [c72]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Data, Data Everywhere: A Guide for Pretraining Dataset Construction. EMNLP 2024: 10671-10695 - [c71]Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks. EMNLP 2024: 16937-16942 - [c70]Akshit Arora, Rohan Badlani, Sungwon Kim, Rafael Valle, Bryan Catanzaro:
Scaling Nvidia's Multi-Speaker Multi-Lingual TTS Systems With Zero-Shot TTS to Indic Languages. ICASSP Workshops 2024: 115-116 - [c69]Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro:
Retrieval meets Long Context Large Language Models. ICLR 2024 - [c68]Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. ICML 2024 - [c67]Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro:
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. ICML 2024 - [c66]Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro:
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. ICML 2024 - [c65]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV 2024: 1506-1516 - [i99]Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA: Building GPT-4 Level Conversational QA Models. CoRR abs/2401.10225 (2024) - [i98]Akshit Arora, Rohan Badlani, Sungwon Kim, Rafael Valle, Bryan Catanzaro:
Scaling NVIDIA's Multi-speaker Multi-lingual TTS Systems with Zero-Shot TTS to Indic Languages. CoRR abs/2401.13851 (2024) - [i97]Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro:
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. CoRR abs/2402.01831 (2024) - [i96]Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. CoRR abs/2402.07319 (2024) - [i95]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro:
Nemotron-4 15B Technical Report. CoRR abs/2402.16819 (2024) - [i94]Arushi Goel, Zhifeng Kong, Rafael Valle, Bryan Catanzaro:
Audio Dialogues: Dialogues dataset for audio and music understanding. CoRR abs/2404.07616 (2024) - [i93]Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping:
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. CoRR abs/2405.17428 (2024) - [i92]Roger Waleffe, Wonmin Byeon, Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, Ali Hatamizadeh, Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, Jan Kautz, Mohammad Shoeybi, Bryan Catanzaro:
An Empirical Study of Mamba-based Language Models. CoRR abs/2406.07887 (2024) - [i91]Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro:
CircuitVAE: Efficient and Scalable Latent Circuit Optimization. CoRR abs/2406.09535 (2024) - [i90]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i89]Zhifeng Kong, Sang-gil Lee, Deepanway Ghosal, Navonil Majumder, Ambuj Mehrish, Rafael Valle, Soujanya Poria, Bryan Catanzaro:
Improving Text-To-Audio Models with Synthetic Captions. CoRR abs/2406.15487 (2024) - [i88]Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro:
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. CoRR abs/2407.02485 (2024) - [i87]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Li, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Data, Data Everywhere: A Guide for Pretraining Dataset Construction. CoRR abs/2407.06380 (2024) - [i86]Jupinder Parmar, Sanjeev Satheesh, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models. CoRR abs/2407.07263 (2024) - [i85]Peng Xu, Wei Ping, Xianchao Wu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro:
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. CoRR abs/2407.14482 (2024) - [i84]Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov:
Compact Language Models via Pruning and Knowledge Distillation. CoRR abs/2407.14679 (2024) - [i83]Jialin Song, Jonathan Raiman, Bryan Catanzaro:
Effective Large Language Model Debugging with Best-first Tree Search. CoRR abs/2407.19055 (2024) - [i82]Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov:
LLM Pruning and Distillation in Practice: The Minitron Approach. CoRR abs/2408.11796 (2024) - [i81]Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. CoRR abs/2408.15998 (2024) - [i80]Wenliang Dai, Nayeon Lee, Boxin Wang, Zhuoling Yang, Zihan Liu, Jon Barker, Tuomas Rintamaki, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping:
NVLM: Open Frontier-Class Multimodal LLMs. CoRR abs/2409.11402 (2024) - [i79]Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao:
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation. CoRR abs/2410.01680 (2024) - [i78]Sreyan Ghosh, Sonal Kumar, Zhifeng Kong, Rafael Valle, Bryan Catanzaro, Dinesh Manocha:
Synthio: Augmenting Small-Scale Audio Classification Datasets with Synthetic Data. CoRR abs/2410.02056 (2024) - [i77]Ethan He, Abhinav Khattar, Ryan Prenger, Vijay Korthikanti, Zijie Yan, Tong Liu, Shiqing Fan, Ashwath Aithal, Mohammad Shoeybi, Bryan Catanzaro:
Upcycling Large Language Models into Mixture of Experts. CoRR abs/2410.07524 (2024) - [i76]Arushi Goel, Karan Sapra, Matthieu Le, Rafael Valle, Andrew Tao, Bryan Catanzaro:
OMCAT: Omni Context Aware Transformer. CoRR abs/2410.12109 (2024) - [i75]Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs. CoRR abs/2410.12881 (2024) - 2023
- [j7]Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro:
Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6096-6110 (2023) - [j6]Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Fine Detailed Texture Learning for 3D Meshes With Generative Models. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14563-14574 (2023) - [c64]Bryan Catanzaro:
Language Models: The Most Important Compute Challenge of Our Time (Keynote). ASPLOS (3) 2023: 2 - [c63]Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
Context Generation Improves Open Domain Question Answering. EACL (Findings) 2023: 781-796 - [c62]Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Adding Instructions during Pretraining: Effective way of Controlling Toxicity in Language Models. EACL 2023: 2628-2643 - [c61]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP 2023: 7763-7786 - [c60]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) 2023: 11844-11857 - [c59]Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro:
Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation. ICASSP 2023: 1-2 - [c58]Sudheer Kovela, Rafael Valle, Ambrish Dantrey, Bryan Catanzaro:
Any-to-Any Voice Conversion with F0 and Timbre Disentanglement and Novel Timbre Conditioning. ICASSP 2023: 1-5 - [c57]Rafael Valle, João Felipe Santos, Kevin J. Shih, Rohan Badlani, Bryan Catanzaro:
High-Acoustic Fidelity Text To Speech Synthesis With Fine-Grained Control Of Speech Attributes. ICASSP 2023: 1-5 - [c56]Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro:
GraPhSyM: Graph Physical Synthesis Model. ICCAD 2023: 1-9 - [c55]Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji:
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV 2023: 22873-22884 - [c54]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR 2023 - [c53]Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro:
RAD-MMM: Multilingual Multiaccented Multispeaker Text To Speech. INTERSPEECH 2023: 626-630 - [c52]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. INTERSPEECH 2023: 790-794 - [c51]Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro:
Reducing Activation Recomputation in Large Transformer Models. MLSys 2023 - [c50]Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro:
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. NeurIPS 2023 - [i74]Rohan Badlani, Rafael Valle, Kevin J. Shih, João Felipe Santos, Siddharth Gururani, Bryan Catanzaro:
Multilingual Multiaccented Multispeaker TTS with RADTTS. CoRR abs/2301.10335 (2023) - [i73]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR abs/2302.04858 (2023) - [i72]Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Adding Instructions during Pretraining: Effective Way of Controlling Toxicity in Language Models. CoRR abs/2302.07388 (2023) - [i71]Rohan Badlani, Akshit Arora, Subhankar Ghosh, Rafael Valle, Kevin J. Shih, João Felipe Santos, Boris Ginsburg, Bryan Catanzaro:
VANI: Very-lightweight Accent-controllable TTS for Native and Non-native speakers with Identity Preservation. CoRR abs/2303.07578 (2023) - [i70]Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro:
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR abs/2304.06762 (2023) - [i69]Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji:
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR abs/2305.10474 (2023) - [i68]Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Progressive Learning of 3D Reconstruction Network from 2D GAN Data. CoRR abs/2305.11102 (2023) - [i67]Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro:
GraPhSyM: Graph Physical Synthesis Model. CoRR abs/2308.03944 (2023) - [i66]Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro:
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR abs/2308.07922 (2023) - [i65]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. CoRR abs/2309.05975 (2023) - [i64]Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro:
Retrieval meets Long Context Large Language Models. CoRR abs/2310.03025 (2023) - [i63]Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro:
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR abs/2310.07713 (2023) - [i62]Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren:
ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR abs/2311.00176 (2023) - 2022
- [j5]Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro:
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3883-3894 (2022) - [c49]Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro:
Multi-Stage Prompting for Knowledgeable Dialogue Generation. ACL (Findings) 2022: 1317-1337 - [c48]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. EMNLP 2022: 4824-4833 - [c47]Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment to Rule Them All. ICASSP 2022: 6092-6096 - [c46]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain With Self-Attention. ICASSP 2022: 7867-7871 - [c45]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR 2022 - [c44]Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro:
Factuality Enhanced Language Models for Open-Ended Text Generation. NeurIPS 2022 - [c43]Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS 2022 - [i61]Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro:
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR abs/2201.11990 (2022) - [i60]Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava:
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR abs/2202.00011 (2022) - [i59]Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro:
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR abs/2202.04173 (2022) - [i58]Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro:
Speech Denoising in the Waveform Domain with Self-Attention. CoRR abs/2202.07790 (2022) - [i57]Kevin J. Shih, Rafael Valle, Rohan Badlani, João Felipe Santos, Bryan Catanzaro:
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows. CoRR abs/2203.01786 (2022) - [i56]Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro:
Multi-Stage Prompting for Knowledgeable Dialogue Generation. CoRR abs/2203.08745 (2022) - [i55]Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Fine Detailed Texture Learning for 3D Meshes with Generative Models. CoRR abs/2203.09362 (2022) - [i54]Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro:
Reducing Activation Recomputation in Large Transformer Models. CoRR abs/2205.05198 (2022) - [i53]Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro:
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. CoRR abs/2205.07000 (2022) - [i52]Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Factuality Enhanced Language Models for Open-Ended Text Generation. CoRR abs/2206.04624 (2022) - [i51]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR abs/2206.04658 (2022) - [i50]Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
Context Generation Improves Open Domain Question Answering. CoRR abs/2210.06349 (2022) - [i49]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. CoRR abs/2210.13673 (2022) - [i48]Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu:
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. CoRR abs/2211.01324 (2022) - 2021
- [c42]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 6648-6662 - [c41]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CVPR 2021: 6081-6090 - [c40]Rajarshi Roy, Jonathan Raiman, Neel Kant, Ilyas Elkin, Robert Kirby, Michael Y. Siu, Stuart F. Oberman, Saad Godil, Bryan Catanzaro:
PrefixRL: Optimization of Parallel Prefix Circuits using Deep Reinforcement Learning. DAC 2021: 853-858 - [c39]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c38]Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro:
DiffWave: A Versatile Diffusion Model for Audio Synthesis. ICLR 2021 - [c37]Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro:
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. ICLR 2021 - [c36]Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. NeurIPS 2021: 17723-17736 - [c35]Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia:
Efficient large-scale language model training on GPU clusters using megatron-LM. SC 2021: 58 - [i47]Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro:
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR abs/2101.00408 (2021) - [i46]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i45]Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia:
Efficient Large-Scale Language Model Training on GPU Clusters. CoRR abs/2104.04473 (2021) - [i44]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CoRR abs/2106.06533 (2021) - [i43]Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro:
Long-Short Transformer: Efficient Transformers for Language and Vision. CoRR abs/2107.02192 (2021) - [i42]Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro:
One TTS Alignment To Rule Them All. CoRR abs/2108.10447 (2021) - [i41]Robert Kirby, Kolby Nottingham, Rajarshi Roy, Saad Godil, Bryan Catanzaro:
Guiding Global Placement With Reinforcement Learning. CoRR abs/2109.02631 (2021) - [i40]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR abs/2111.13587 (2021) - [i39]Shrimai Prabhumoye, Rafal Kocielnik, Mohammad Shoeybi, Anima Anandkumar, Bryan Catanzaro:
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases. CoRR abs/2112.07868 (2021) - 2020
- [j4]Brucek Khailany, Haoxing Ren, Steve Dai, Saad Godil, Ben Keller, Robert Kirby, Alicia Klinefelter, Rangharajan Venkatesan, Yanqing Zhang, Bryan Catanzaro, William J. Dally:
Accelerating Chip Design With Machine Learning. IEEE Micro 40(6): 23-32 (2020) - [c34]Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro:
Large Scale Multi-Actor Generative Dialog Modeling.