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ORCIDNitish Shirish Keskar
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2020 – today
- 2022
[c16]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. ACL (1) 2022: 974-990- [i27]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. CoRR abs/2205.09226 (2022) - [i26]Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. CoRR abs/2208.03645 (2022) - 2021
- [c15]Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Rajani, Nitish Shirish Keskar, Thamar Solorio:
Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality. EMNLP (Findings) 2021: 1640-1651 - [c14]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. EMNLP (Findings) 2021: 4929-4952 - [c13]Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong:
Unsupervised Paraphrasing with Pretrained Language Models. EMNLP (1) 2021: 5136-5150 - [c12]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR 2021 - [i25]Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong:
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. CoRR abs/2111.10497 (2021) - 2020
- [c11]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Assessing Local Generalization Capability in Deep Models. AISTATS 2020: 2077-2087 - [c10]Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong:
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. EMNLP (1) 2020: 5083-5089 - [c9]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. EMNLP (1) 2020: 6203-6207 - [c8]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. ITA 2020: 1-5 - [i24]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. CoRR abs/2002.03438 (2020) - [i23]Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher:
Improving out-of-distribution generalization via multi-task self-supervised pretraining. CoRR abs/2003.13525 (2020) - [i22]Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher:
ProGen: Language Modeling for Protein Generation. CoRR abs/2004.03497 (2020) - [i21]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. CoRR abs/2007.14966 (2020) - [i20]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. CoRR abs/2009.06367 (2020) - [i19]Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Fatema Rajani, Nitish Shirish Keskar, Thamar Solorio:
Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality. CoRR abs/2010.12730 (2020) - [i18]Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong:
Unsupervised Paraphrase Generation via Dynamic Blocking. CoRR abs/2010.12885 (2020)
2010 – 2019
- 2019
- [j3]Nitish Shirish Keskar, Andreas Wächter:
A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization. Optim. Methods Softw. 34(1): 150-171 (2019) - [j2]Albert S. Berahas
, Raghu Bollapragada, Nitish Shirish Keskar, Ermin Wei:
Balancing Communication and Computation in Distributed Optimization. IEEE Trans. Autom. Control. 64(8): 3141-3155 (2019) - [c7]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. EMNLP/IJCNLP (1) 2019: 540-551 - [c6]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. ICLR (Poster) 2019 - [c5]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) 2019 - [i17]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR abs/1901.00603 (2019) - [i16]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Unifying Question Answering and Text Classification via Span Extraction. CoRR abs/1904.09286 (2019) - [i15]Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. CoRR abs/1905.11471 (2019) - [i14]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. CoRR abs/1908.08960 (2019) - [i13]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Pretrained AI Models: Performativity, Mobility, and Change. CoRR abs/1909.03290 (2019) - [i12]Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher:
CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR abs/1909.05858 (2019) - [i11]Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR abs/1910.10245 (2019) - 2018
- [c4]Stephen Merity, Nitish Shirish Keskar, Richard Socher:
Regularizing and Optimizing LSTM Language Models. ICLR (Poster) 2018 - [i10]Stephen Merity, Nitish Shirish Keskar, Richard Socher:
An Analysis of Neural Language Modeling at Multiple Scales. CoRR abs/1803.08240 (2018) - [i9]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Using Mode Connectivity for Loss Landscape Analysis. CoRR abs/1806.06977 (2018) - [i8]Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
The Natural Language Decathlon: Multitask Learning as Question Answering. CoRR abs/1806.08730 (2018) - [i7]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Identifying Generalization Properties in Neural Networks. CoRR abs/1809.07402 (2018) - [i6]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. CoRR abs/1810.13243 (2018) - 2017
- [c3]Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang:
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. ICLR 2017 - [i5]Stephen Merity, Nitish Shirish Keskar, Richard Socher:
Regularizing and Optimizing LSTM Language Models. CoRR abs/1708.02182 (2017) - [i4]Karim Ahmed, Nitish Shirish Keskar, Richard Socher:
Weighted Transformer Network for Machine Translation. CoRR abs/1711.02132 (2017) - [i3]Nitish Shirish Keskar, Richard Socher:
Improving Generalization Performance by Switching from Adam to SGD. CoRR abs/1712.07628 (2017) - 2016
- [j1]Nitish Shirish Keskar, Jorge Nocedal, Figen Öztoprak, Andreas Wächter:
A second-order method for convex l1-regularized optimization with active-set prediction. Optim. Methods Softw. 31(3): 605-621 (2016) - [c2]Nitish Shirish Keskar, Albert S. Berahas:
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs. ECML/PKDD (1) 2016: 1-16 - [i2]Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang:
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima. CoRR abs/1609.04836 (2016) - 2015
- [c1]Nitish Shirish Keskar, George Saon:
A nonmonotone learning rate strategy for SGD training of deep neural networks. ICASSP 2015: 4974-4978 - [i1]Nitish Shirish Keskar, Albert S. Berahas:
adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs. CoRR abs/1511.01169 (2015)
Coauthor Index
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last updated on 2022-08-25 05:22 CEST by the dblp team
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