DeBERTa: Decoding-Enhanced BERT with Disentangled Attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, Wei Chen
2021 International Conference on Learning Representations | May 2021
Under review
AI at Scale
Models, infrastructure and hardware for next-generation AI applications
出版物
年別出版物
-
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
April 2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB’s Convergence Speed
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
April 2021
-
Few-shot Natural Language Generation for Task-Oriented Dialog
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
Empirical Methods in Natural Language Processing (EMNLP) | November 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
ECCV | August 2020
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Eighth International Conference on Learning Representations (ICLR) | April 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
April 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
February 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou
NeurIPS 2020 | February 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
AAAI | February 2020
-
Deep Learning at Microsoft – presented at TVM19
Jon Soifer, Minjia Zhang, Zehua Hu, Menghao Li, Jeffrey Zhu, Elton Zheng, Mingqin Li, Jason Li, Yuxiong He
December 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
33rd Conference on Neural Information Processing Systems (NeurIPS 2019) | December 2019
Improving Bing Web Search using Azure GPUs – presented at SC19
Jeffrey Zhu, Mingqin Li
November 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Web Search Powered by Deep Learning – presented at Scale19
Jason Li
October 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
July 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
ACL 2019 | June 2019
Deep Learning Inference Service at Microsoft
Jonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang
2019 USENIX Conference on Operational Machine Learning (OpML ’19) | May 2019
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
April 2019
An Axiomatic Approach to Regularizing Neural Ranking Models
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
Proceedings of the 42nd international ACM SIGIR conference on Research & development in information retrieval | April 2019
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
Foundations and Trends in Information Retrieval | February 2019
-
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
Harry Shum, Jianfeng Gao (jfgao), Di Li, Li Zhou
MSR-TR-2018-42 | December 2018
Microsoft による投稿
Systems and methods for automated query answer generation
Saurabh Kumar Tiwary, Mir Rosenberg, Jianfeng Gao, Xia Song, Rangan Majumder, Li Deng
June 2018
Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
Proceedings of the 41st international ACM SIGIR conference on Research & development in information retrieval | May 2018
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave
Eric Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian Caulfield, Todd Massengill, Ming Liu, Mahdi Ghandi, Daniel Lo, Steve Reinhardt, Shlomi Alkalay, Hari Angepat, Derek Chiou, Alessandro Forin, Doug Burger, Lisa Woods, Gabriel Weisz, Michael Haselman, Dan Zhang
IEEE Micro | March 2018, 巻38: pp. 8-20
-
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM’18) | November 2017
-
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
November 2016
研究分野別論文
-
DeBERTa: Decoding-Enhanced BERT with Disentangled Attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, Wei Chen
2021 International Conference on Learning Representations | May 2021
Under review
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
April 2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB’s Convergence Speed
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
April 2021
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
ECCV | August 2020
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
April 2020
Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Eighth International Conference on Learning Representations (ICLR) | April 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
February 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou
NeurIPS 2020 | February 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
AAAI | February 2020
Deep Learning at Microsoft – presented at TVM19
Jon Soifer, Minjia Zhang, Zehua Hu, Menghao Li, Jeffrey Zhu, Elton Zheng, Mingqin Li, Jason Li, Yuxiong He
December 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
33rd Conference on Neural Information Processing Systems (NeurIPS 2019) | December 2019
Improving Bing Web Search using Azure GPUs – presented at SC19
Jeffrey Zhu, Mingqin Li
November 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Web Search Powered by Deep Learning – presented at Scale19
Jason Li
October 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
July 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
ACL 2019 | June 2019
Deep Learning Inference Service at Microsoft
Jonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang
2019 USENIX Conference on Operational Machine Learning (OpML ’19) | May 2019
An Axiomatic Approach to Regularizing Neural Ranking Models
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
Proceedings of the 42nd international ACM SIGIR conference on Research & development in information retrieval | April 2019
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
Foundations and Trends in Information Retrieval | February 2019
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
Harry Shum, Jianfeng Gao (jfgao), Di Li, Li Zhou
MSR-TR-2018-42 | December 2018
Microsoft による投稿
Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
Proceedings of the 41st international ACM SIGIR conference on Research & development in information retrieval | May 2018
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave
Eric Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian Caulfield, Todd Massengill, Ming Liu, Mahdi Ghandi, Daniel Lo, Steve Reinhardt, Shlomi Alkalay, Hari Angepat, Derek Chiou, Alessandro Forin, Doug Burger, Lisa Woods, Gabriel Weisz, Michael Haselman, Dan Zhang
IEEE Micro | March 2018, 巻38: pp. 8-20
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM’18) | November 2017
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
November 2016
-
Web Search Powered by Deep Learning – presented at Scale19
Jason Li
October 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
July 2019
An Axiomatic Approach to Regularizing Neural Ranking Models
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
Proceedings of the 42nd international ACM SIGIR conference on Research & development in information retrieval | April 2019
Systems and methods for automated query answer generation
Saurabh Kumar Tiwary, Mir Rosenberg, Jianfeng Gao, Xia Song, Rangan Majumder, Li Deng
June 2018
Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
Proceedings of the 41st international ACM SIGIR conference on Research & development in information retrieval | May 2018
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM’18) | November 2017
-
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
ECCV | August 2020
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Eighth International Conference on Learning Representations (ICLR) | April 2020
-
Few-shot Natural Language Generation for Task-Oriented Dialog
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
Empirical Methods in Natural Language Processing (EMNLP) | November 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
April 2020
Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Eighth International Conference on Learning Representations (ICLR) | April 2020
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
33rd Conference on Neural Information Processing Systems (NeurIPS 2019) | December 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
April 2019
-
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Eighth International Conference on Learning Representations (ICLR) | April 2020
-
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
-
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave
Eric Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian Caulfield, Todd Massengill, Ming Liu, Mahdi Ghandi, Daniel Lo, Steve Reinhardt, Shlomi Alkalay, Hari Angepat, Derek Chiou, Alessandro Forin, Doug Burger, Lisa Woods, Gabriel Weisz, Michael Haselman, Dan Zhang
IEEE Micro | March 2018, 巻38: pp. 8-20
種類別出版物
-
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning
Samyam Rajbhandari, Olatunji Ruwase, Jeff Rasley, Shaden Smith, Yuxiong He
April 2021
1-bit LAMB: Communication Efficient Large-Scale Large-Batch Training with LAMB’s Convergence Speed
Conglong Li, Ammar Ahmad Awan, Hanlin Tang, Samyam Rajbhandari, Yuxiong He
April 2021
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He
May 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
April 2020
Adversarial Training for Large Neural Language Models
Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
April 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
February 2020
Deep Learning at Microsoft – presented at TVM19
Jon Soifer, Minjia Zhang, Zehua Hu, Menghao Li, Jeffrey Zhu, Elton Zheng, Mingqin Li, Jason Li, Yuxiong He
December 2019
Improving Bing Web Search using Azure GPUs – presented at SC19
Jeffrey Zhu, Mingqin Li
November 2019
Web Search Powered by Deep Learning – presented at Scale19
Jason Li
October 2019
Systems and methods for automated query answer generation
Saurabh Kumar Tiwary, Mir Rosenberg, Jianfeng Gao, Xia Song, Rangan Majumder, Li Deng
June 2018
-
DeBERTa: Decoding-Enhanced BERT with Disentangled Attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, Wei Chen
2021 International Conference on Learning Representations | May 2021
Under review
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
ECCV | August 2020
On the Variance of the Adaptive Learning Rate and Beyond
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
Eighth International Conference on Learning Representations (ICLR) | April 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, Ming Zhou
NeurIPS 2020 | February 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao
AAAI | February 2020
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
33rd Conference on Neural Information Processing Systems (NeurIPS 2019) | December 2019
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, JJ (Jingjing) Liu, Bill Dolan
arXiv:1911.00536 | November 2019
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul Bennett, Nick Craswell, Saurabh Tiwary
The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) | July 2019
Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
ACL 2019 | June 2019
Deep Learning Inference Service at Microsoft
Jonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang
2019 USENIX Conference on Operational Machine Learning (OpML ’19) | May 2019
An Axiomatic Approach to Regularizing Neural Ranking Models
Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary
Proceedings of the 42nd international ACM SIGIR conference on Research & development in information retrieval | April 2019
Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Corby Rosset, Damien Jose, Gargi Ghosh, Bhaskar Mitra, Saurabh Tiwary
Proceedings of the 41st international ACM SIGIR conference on Research & development in information retrieval | May 2018
Neural Ranking Models with Multiple Document Fields
Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary
Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM’18) | November 2017
-
Few-shot Natural Language Generation for Task-Oriented Dialog
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
Empirical Methods in Natural Language Processing (EMNLP) | November 2020
Neural Approaches to Conversational AI
Jianfeng Gao, Michel Galley, Lihong Li
Foundations and Trends in Information Retrieval | February 2019
Serving DNNs in Real Time at Datacenter Scale with Project Brainwave
Eric Chung, Jeremy Fowers, Kalin Ovtcharov, Michael Papamichael, Adrian Caulfield, Todd Massengill, Ming Liu, Mahdi Ghandi, Daniel Lo, Steve Reinhardt, Shlomi Alkalay, Hari Angepat, Derek Chiou, Alessandro Forin, Doug Burger, Lisa Woods, Gabriel Weisz, Michael Haselman, Dan Zhang
IEEE Micro | March 2018, 巻38: pp. 8-20
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng
November 2016
-
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks
Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz
July 2019
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
April 2019
-
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot
Harry Shum, Jianfeng Gao (jfgao), Di Li, Li Zhou
MSR-TR-2018-42 | December 2018
Microsoft による投稿