Haidar Khan

According to our database, Haidar Khan authored at least 27 papers between 2014 and 2024.

Collaborative distances:

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

2024

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards.

Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, Sultan Alrashed, Shaykhah Alsubaie, Yusef Almushaykeh, Faisal Mirza, Nouf Alotaibi, Nora Al-Twairesh, Areeb Alowisheq, M. Saiful Bari, Haidar Khan

CoRR, 2024

2023

Low-Resource Compositional Semantic Parsing with Concept Pretraining.

Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.

Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

PIZZA: A new benchmark for complex end-to-end task-oriented parsing.

Konstantine Arkoudas, Nicolas Guenon des Mesnards, Melanie Rubino, Sandesh Swamy, Saarthak Khanna, Weiqi Sun, Haidar Khan

CoRR, 2022

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.

Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

CoRR, 2022

Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models.

Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Mixture of Domain Experts for Language Understanding: an Analysis of Modularity, Task Performance, and Memory Tradeoffs.

Benjamin Kleiner, Jack G. M. Fitzgerald, Haidar Khan, Gohkan Tur

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Controlled Data Generation via Insertion Operations for NLU.

Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Squashed Weight Distribution for Low Bit Quantization of Deep Models.

Nikko Strom, Haidar Khan, Wael Hamza

Proceedings of the Interspeech 2022, 2022

RescoreBERT: Discriminative Speech Recognition Rescoring With Bert.

Liyan Xu, Yile Gu, Jari Kolehmainen, Haidar Khan, Ankur Gandhe, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models.

Daniel Park, Haidar Khan, Azer Khan, Alex Gittens, Bülent Yener

CoRR, 2021

ASR N-Best Fusion Nets.

Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su

Proceedings of the IEEE International Conference on Acoustics, 2021

Limitations of Knowledge Distillation for Zero-shot Transfer Learning.

Saleh Soltan, Haidar Khan, Wael Hamza

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

2020

Using multiple ASR hypotheses to boost i18n NLU performance.

Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan

Proceedings of the 17th International Conference on Natural Language Processing, 2020

Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.

Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding.

Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019

Predicting change points in multivariate time series data.

Haidar Khan

PhD thesis, 2019

Optimal Mini-Batch Size Selection for Fast Gradient Descent.

Michael P. Perrone, Haidar Khan, Changhoan Kim, Anastasios Kyrillidis, Jerry Quinn, Valentina Salapura

CoRR, 2019

Deep density ratio estimation for change point detection.

Haidar Khan, Lara Marcuse, Bülent Yener

CoRR, 2019

Thwarting finite difference adversarial attacks with output randomization.

Haidar Khan, Daniel Park, Azer Khan, Bülent Yener

CoRR, 2019

Short Paper: Creating Adversarial Malware Examples using Code Insertion.

Daniel Park, Haidar Khan, Bülent Yener

CoRR, 2019

Generation & Evaluation of Adversarial Examples for Malware Obfuscation.

Daniel Park, Haidar Khan, Bülent Yener

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Focal Onset Seizure Prediction Using Convolutional Networks.

Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener

IEEE Trans. Biomed. Eng., 2018

Learning filter widths of spectral decompositions with wavelets.

Haidar Khan, Bülent Yener

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Interaction Recognition Using Sparse Portraits.

Ivan Bogun, Haidar Khan, Jacob Chen, Eraldo Ribeiro

Proceedings of the 22nd International Conference on Pattern Recognition, 2014