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Harsh Mehta
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Journal Articles
- 2023
- [j6]Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky:
Differentially Private Image Classification from Features. Trans. Mach. Learn. Res. 2023 (2023) - [j5]Harsh Mehta, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky:
Towards Large Scale Transfer Learning for Differentially Private Image Classification. Trans. Mach. Learn. Res. 2023 (2023) - 2020
- [j4]A. Zaynah Dhunny, Reena Hansa Seebocus, Zaheer Allam, Mohammad Yasser Chuttur, Muhammed Eltahan, Harsh Mehta:
Flood Prediction using Artificial Neural Networks: Empirical Evidence from Mauritius as a Case Study. Knowl. Eng. Data Sci. 3(1): 1-10 (2020) - 2017
- [j3]Jeffrey C. Lagarias, Harsh Mehta:
Products of Farey Fractions. Exp. Math. 26(1): 1-21 (2017) - 2013
- [j2]Shiv Prasad Kosta, Archana Dubey, Prateek Gupta, Preeti Nair, Shakti Kosta, Jitendra Prasad Chaudhary, Bhavin S. Patel, Amit Patel, Atul Vishwkarma, Jaimin R. Patel, Harsh Mehta, Piyush R. Vaghela, Kalpesh N. Patel, Bhavin Dave:
First physical model of human tissue skin based memristors and their network. Int. J. Medical Eng. Informatics 5(1): 5-19 (2013) - 2012
- [j1]Shiv Prasad Kosta, Mukta Bhatele, Jitendra Prasad Chaudhary, Trushit Upadhyay, Dilip Soni, S. Purnima Nema, Yogesh P. Kosta, Kalpesh N. Patel, Piyush R. Vaghela, Jaimin R. Patel, Bhavin S. Patel, Lunika Thakre, Shakti Kosta, Siddharth Dutt Choubey, Tushar Nigam, Harsh Mehta:
Human blood-based electronic transistor. Int. J. Medical Eng. Informatics 4(4): 373-386 (2012)
Conference and Workshop Papers
- 2023
- [c11]Harsh Mehta, Ankit Gupta, Ashok Cutkosky, Behnam Neyshabur:
Long Range Language Modeling via Gated State Spaces. ICLR 2023 - [c10]Ashok Cutkosky, Harsh Mehta, Francesco Orabona:
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion. ICML 2023: 6643-6670 - [c9]Ashok Cutkosky, Aaron Defazio, Harsh Mehta:
Mechanic: A Learning Rate Tuner. NeurIPS 2023 - 2022
- [c8]Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler:
Transformer Memory as a Differentiable Search Index. NeurIPS 2022 - 2021
- [c7]Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur:
Extreme Memorization via Scale of Initialization. ICLR 2021 - [c6]Ashok Cutkosky, Harsh Mehta:
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails. NeurIPS 2021: 4883-4895 - 2020
- [c5]Ashok Cutkosky, Harsh Mehta:
Momentum Improves Normalized SGD. ICML 2020: 2260-2268 - 2019
- [c4]Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhães, Jason Baldridge, Eugene Ie:
Transferable Representation Learning in Vision-and-Language Navigation. ICCV 2019: 7403-7412 - 2014
- [c3]Xicheng Jiang, Xinyu Yu, Fang Lin, Felix Cheung, Mike Inerfield, Kevin Li, Abhishek Kamath, Harsh Mehta, Jingbo Duan, Jing Yang, Gautham Krishnamurthy, Sumant Ranganathan, Darwin Cheung, Naga Radha Krishna Damaraju, Jianlong Chen, Dongtian Lu, Vinod Jayakumar, Leon Wang, Dario Soltesz, Hongwei Kong, Min Zhang, David Chang:
A 28 nm analog and audio mixed-signal front end for 4G/LTE Cellular System-on-Chip. ESSCIRC 2014: 471-474 - [c2]Harsh Mehta, Gautham Krishnamurthy, Michael A. Inerfield, Fang Lin, Tom Kwan:
A 3nV/vHz programmable gain/BW mixed-signal 4th order Chebyshev high-pass filter for ADSL/VDSL analog front end in 28nm CMOS. VLSIC 2014: 1-2 - 2010
- [c1]Yazad Adajania, Jimit Gosalia, Akshay Kanade, Harsh Mehta, Narendra M. Shekokar:
Virtual Keyboard Using Shadow Analysis. ICETET 2010: 163-165
Informal and Other Publications
- 2024
- [i18]Aaron Defazio, Xingyu Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled, Ashok Cutkosky:
The Road Less Scheduled. CoRR abs/2405.15682 (2024) - 2023
- [i17]Ashok Cutkosky, Harsh Mehta, Francesco Orabona:
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion. CoRR abs/2302.03775 (2023) - [i16]Ashok Cutkosky, Aaron Defazio, Harsh Mehta:
Mechanic: A Learning Rate Tuner. CoRR abs/2306.00144 (2023) - [i15]Aaron Defazio, Ashok Cutkosky, Harsh Mehta, Konstantin Mishchenko:
When, Why and How Much? Adaptive Learning Rate Scheduling by Refinement. CoRR abs/2310.07831 (2023) - 2022
- [i14]Yi Tay, Vinh Q. Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler:
Transformer Memory as a Differentiable Search Index. CoRR abs/2202.06991 (2022) - [i13]Harsh Mehta, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky:
Large Scale Transfer Learning for Differentially Private Image Classification. CoRR abs/2205.02973 (2022) - [i12]Harsh Mehta, Ankit Gupta, Ashok Cutkosky, Behnam Neyshabur:
Long Range Language Modeling via Gated State Spaces. CoRR abs/2206.13947 (2022) - [i11]Tolga Ergen, Behnam Neyshabur, Harsh Mehta:
Convexifying Transformers: Improving optimization and understanding of transformer networks. CoRR abs/2211.11052 (2022) - [i10]Harsh Mehta, Walid Krichene, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky:
Differentially Private Image Classification from Features. CoRR abs/2211.13403 (2022) - [i9]Ankit Gupta, Harsh Mehta, Jonathan Berant:
Simplifying and Understanding State Space Models with Diagonal Linear RNNs. CoRR abs/2212.00768 (2022) - 2021
- [i8]Ashok Cutkosky, Harsh Mehta:
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails. CoRR abs/2106.14343 (2021) - [i7]Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang:
ALX: Large Scale Matrix Factorization on TPUs. CoRR abs/2112.02194 (2021) - 2020
- [i6]Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski:
Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View. CoRR abs/2001.03671 (2020) - [i5]Ashok Cutkosky, Harsh Mehta:
Momentum Improves Normalized SGD. CoRR abs/2002.03305 (2020) - [i4]Harsh Mehta, Ashok Cutkosky, Behnam Neyshabur:
Extreme Memorization via Scale of Initialization. CoRR abs/2008.13363 (2020) - 2019
- [i3]Haoshuo Huang, Vihan Jain, Harsh Mehta, Jason Baldridge, Eugene Ie:
Multi-modal Discriminative Model for Vision-and-Language Navigation. CoRR abs/1905.13358 (2019) - [i2]Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhães, Jason Baldridge, Eugene Ie:
Transferable Representation Learning in Vision-and-Language Navigation. CoRR abs/1908.03409 (2019) - [i1]Larry Lansing, Vihan Jain, Harsh Mehta, Haoshuo Huang, Eugene Ie:
VALAN: Vision and Language Agent Navigation. CoRR abs/1912.03241 (2019)
Coauthor Index
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