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Saurabh Goyal
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2020 – today
- 2024
- [i4]Kinjal Basu, Ibrahim Abdelaziz, Kelsey Bradford, Maxwell Crouse, Kiran Kate, Sadhana Kumaravel, Saurabh Goyal, Asim Munawar, Yara Rizk, Xin Wang, Luis A. Lastras, Pavan Kapanipathi:
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls. CoRR abs/2409.03797 (2024) - 2023
- [c12]Ritesh Kumar, Saurabh Goyal, Ashish Verma, Vatche Isahagian:
ProtoNER: Few Shot Incremental Learning for Named Entity Recognition Using Prototypical Networks. Business Process Management Workshops 2023: 70-82 - [c11]Saurabh Goyal, Sanjay Kumar Wadhwa, Divya Tripathi, Gaurav Agrawal, Krishna Thakur, Deependra Kumar Jain, Alvin Leng Sun Loke, Atul Kumar, Manish Kumar Upadhyay, Bhawna, Sanjoy Kumar Dey:
Design Challenges and Techniques for 5nm FinFET CMOS Analog/Mixed-Signal Circuits. VLSID 2023: 98-103 - [i3]Ritesh Kumar, Saurabh Goyal, Ashish Verma, Vatche Isahagian:
ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks. CoRR abs/2310.02372 (2023) - 2020
- [c10]Anamitra Roy Choudhury, Saurabh Goyal, Yogish Sabharwal, Ashish Verma:
Variable batch size across layers for efficient prediction on CNNs. CLOUD 2020: 435-444 - [c9]Saurabh Goyal, Anamitra Roy Choudhury, Saurabh Raje, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Ashish Verma:
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination. ICML 2020: 3690-3699 - [i2]Saurabh Goyal, Anamitra Roy Choudhury, Venkatesan T. Chakaravarthy, Saurabh ManishRaje, Yogish Sabharwal, Ashish Verma:
PoWER-BERT: Accelerating BERT inference for Classification Tasks. CoRR abs/2001.08950 (2020)
2010 – 2019
- 2019
- [c8]Saurabh Goyal, Anamitra Roy Choudhury, Vivek Sharma:
Compression of Deep Neural Networks by Combining Pruning and Low Rank Decomposition. IPDPS Workshops 2019: 952-958 - [c7]Mushtaq Ahmed
, Saurabh Goyal, Siddhartha Singh, Jaiprakash Gupta:
An improved Spray and Wait routing protocol for Delay Tolerant Network. MENACOMM 2019: 1-6 - 2017
- [c6]Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain:
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML 2017: 1331-1340 - [c5]Ashish Kumar, Saurabh Goyal, Manik Varma:
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things. ICML 2017: 1935-1944 - [i1]Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury, Yogish Sabharwal, Ashish Verma:
Efficient Inferencing of Compressed Deep Neural Networks. CoRR abs/1711.00244 (2017) - 2016
- [c4]Mehul Bhatt, Jakob Suchan
Artificial Intelligence for Predictive and Evidence Based Architecture Design. AAAI 2016: 4349-4350 - 2014
- [j2]Natwar Modani, Seema Nagar, Saswata Shannigrahi, Ritesh Gupta, Kuntal Dey, Saurabh Goyal, Amit Anil Nanavati
Like-minded communities: bringing the familiarity and similarity together. World Wide Web 17(5): 899-919 (2014) - 2012
- [c3]Natwar Modani, Ritesh Gupta, Seema Nagar, Saswata Shannigrahi, Saurabh Goyal, Kuntal Dey:
Like-Minded Communities: Bringing the Familiarity and Similarity together. WISE 2012: 382-395
2000 – 2009
- 2005
- [c2]Saurabh Goyal, Mihir R. Choudhury, S. S. S. P. Rao, L. Kalyan Kumar:
Multiple Fault Testing of Logic Resources of SRAM-Based FPGAs. VLSI Design 2005: 742-747 - 2004
- [j1]M. Pawan Kumar, Saurabh Goyal, Sujit Kuthirummal, C. V. Jawahar
Discrete contours in multiple views: approximation and recognition. Image Vis. Comput. 22(14): 1229-1239 (2004) - 2002
- [c1]M. Pawan Kumar, Saurabh Goyal, C. V. Jawahar, P. J. Narayanan:
Polygonal Approximation of Closed Curves across Multiple Views. ICVGIP 2002
Coauthor Index
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