Nitish Shirish Keskar

According to our database, Nitish Shirish Keskar authored at least 37 papers between 2015 and 2022.

Collaborative distances:

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

2022

Generating Negative Samples for Sequential Recommendation.

Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong

CoRR, 2022

Modeling Multi-hop Question Answering as Single Sequence Prediction.

Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution.

Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong

CoRR, 2021

Mirostat: a Neural Text decoding Algorithm that directly controls perplexity.

Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Paraphrasing with Pretrained Language Models.

Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

GeDi: Generative Discriminator Guided Sequence Generation.

Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality.

Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Rajani, Nitish Shirish Keskar, Thamar Solorio

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Unsupervised Paraphrase Generation via Dynamic Blocking.

Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong

CoRR, 2020

Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality.

Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Fatema Rajani, Nitish Shirish Keskar, Thamar Solorio

CoRR, 2020

Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm.

Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney

CoRR, 2020

ProGen: Language Modeling for Protein Generation.

Ali Madani, Bryan McCann, Nikhil Naik, Nitish Shirish Keskar, Namrata Anand, Raphael R. Eguchi, Po-Ssu Huang, Richard Socher

CoRR, 2020

Improving out-of-distribution generalization via multi-task self-supervised pretraining.

Isabela Albuquerque, Nikhil Naik, Junnan Li, Nitish Shirish Keskar, Richard Socher

CoRR, 2020

Limits of Detecting Text Generated by Large-Scale Language Models.

Lav R. Varshney, Nitish Shirish Keskar, Richard Socher

Proceedings of the Information Theory and Applications Workshop, 2020

Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging.

Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs.

Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Assessing Local Generalization Capability in Deep Models.

Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Balancing Communication and Computation in Distributed Optimization.

Albert S. Berahas, Raghu Bollapragada, Nitish Shirish Keskar, Ermin Wei

IEEE Trans. Autom. Control., 2019

A limited-memory quasi-Newton algorithm for bound-constrained non-smooth optimization.

Nitish Shirish Keskar, Andreas Wächter

Optim. Methods Softw., 2019

Global Capacity Measures for Deep ReLU Networks via Path Sampling.

Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

CoRR, 2019

CTRL: A Conditional Transformer Language Model for Controllable Generation.

Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher

CoRR, 2019

Pretrained AI Models: Performativity, Mobility, and Change.

Lav R. Varshney, Nitish Shirish Keskar, Richard Socher

CoRR, 2019

XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering.

Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

CoRR, 2019

Unifying Question Answering and Text Classification via Span Extraction.

Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher

CoRR, 2019

Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering.

Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher

Proceedings of the 7th International Conference on Learning Representations, 2019

A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation.

Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

Proceedings of the 7th International Conference on Learning Representations, 2019

Neural Text Summarization: A Critical Evaluation.

Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Identifying Generalization Properties in Neural Networks.

Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

CoRR, 2018

The Natural Language Decathlon: Multitask Learning as Question Answering.

Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

CoRR, 2018

Using Mode Connectivity for Loss Landscape Analysis.

Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

CoRR, 2018

An Analysis of Neural Language Modeling at Multiple Scales.

Stephen Merity, Nitish Shirish Keskar, Richard Socher

CoRR, 2018

Regularizing and Optimizing LSTM Language Models.

Stephen Merity, Nitish Shirish Keskar, Richard Socher

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Improving Generalization Performance by Switching from Adam to SGD.

Nitish Shirish Keskar, Richard Socher

CoRR, 2017

Weighted Transformer Network for Machine Translation.

Karim Ahmed, Nitish Shirish Keskar, Richard Socher

CoRR, 2017

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A second-order method for convex l₁-regularized optimization with active-set prediction.

Nitish Shirish Keskar, Jorge Nocedal, Figen Öztoprak, Andreas Wächter

Optim. Methods Softw., 2016

adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs.

Nitish Shirish Keskar, Albert S. Berahas

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

A nonmonotone learning rate strategy for SGD training of deep neural networks.

Nitish Shirish Keskar, George Saon

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015