Saurabh Singh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
15
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISPASS | Macsim Mini: A Lightweight Cycle-Level GPU Simulator for Architecture Education. | Euijun Chung, Saurabh Singh, Huanzhi Pu, Yuxiao Jia, Anurag Kar, Sam Jijina, Scott Madeira, Hyesoon Kim |
| 2025 | HPCA | Let-Me-In: (Still) Employing In-pointer Bounds Metadata for Fine-grained GPU Memory Safety. | Jaewon Lee, Euijun Chung, Saurabh Singh, Seonjin Na, Yonghae Kim, Jaekyu Lee, Hyesoon Kim |
| 2025 | ISIT | Discretized Approximate Ancestral Sampling. | Alfredo De la Fuente, Saurabh Singh, Jona Ball |
| 2024 | IECON | Tokenizing Industrial Assets: Multi-File Binding using an Average Perceptual Hash. | Michael Prummer, Emanuel Regnath, Saurabh Singh, Harald Kosch |
| 2024 | PCS | Fourier Basis Density Model. | Alfredo De la Fuente, Saurabh Singh, Johannes Ball |
| 2023 | ICLR | LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. | Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava |
| 2023 | ICLR | Weighted Ensemble Self-Supervised Learning. | Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon |
| 2022 | ISCAS | ART-MAC: Approximate Rounding and Truncation based MAC Unit for Fault-Tolerant Applications. | Vishesh Mishra, Divy Pandey, Saurabh Singh, Sagar Satapathy, Kaustav Goswami, Babita Jajodia, Dip Sankar Banerjee |
| 2022 | ISCAS | AxLEAP: Enabling Low-Power Approximations Through Unified Power Format. | Sagar Satapathy, Saurabh Singh, Kaustav Goswami, Vishesh Mishra, Divy Pandey, Dip Sankar Banerjee |
| 2021 | ISCAS | SAM: A Segmentation Based Approximate Multiplier for Error Tolerant Applications. | Divy Pandey, Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Dip Sankar Banerjee |
| 2021 | PCS | 3D Scene Compression through Entropy Penalized Neural Representation Functions. | Thomas Bird, Johannes Ball, Saurabh Singh, Philip A. Chou |
| 2020 | CVPR | PatchVAE: Learning Local Latent Codes for Recognition. | Kamal Gupta, Saurabh Singh, Abhinav Shrivastava |
| 2020 | CVPR | Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. | Saurabh Singh, Shankar Krishnan |
| 2020 | CVPR | Deep Implicit Volume Compression. | Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Hne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip L. Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin |
| 2020 | ICIP | Channel-Wise Autoregressive Entropy Models for Learned Image Compression. | David Minnen, Saurabh Singh |
| 2020 | ICIP | End-to-End Learning of Compressible Features. | Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ball, Abhinav Shrivastava, George Toderici |
| 2020 | ICLR | Scalable Model Compression by Entropy Penalized Reparameterization. | Deniz Oktay, Johannes Ball, Saurabh Singh, Abhinav Shrivastava |
| 2019 | ICCV | EvalNorm: Estimating Batch Normalization Statistics for Evaluation. | Saurabh Singh, Abhinav Shrivastava |
| 2018 | CVPR | Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. | Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici |
| 2018 | ICIP | Image-Dependent Local Entropy Models for Learned Image Compression. | David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell |
| 2018 | ICLR | Variational image compression with a scale hyperprior. | Johannes Ball, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston |
| 2017 | EMNLP | All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. | Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee |
| 2017 | ICCV | Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks. | Tanmay Gupta, Kevin J. Shih, Saurabh Singh, Derek Hoiem |
| 2017 | ICCV | No Fuss Distance Metric Learning Using Proxies. | Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh |
| 2017 | ICCV | Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. | Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta |
| 2017 | ICIP | Spatially adaptive image compression using a tiled deep network. | David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh |
| 2016 | CVPR | Where to Look: Focus Regions for Visual Question Answering. | Kevin J. Shih, Saurabh Singh, Derek Hoiem |
| 2016 | CVPR | Learning to Localize Little Landmarks. | Saurabh Singh, Derek Hoiem, David A. Forsyth |
| 2015 | BMVC | Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization. | Kevin J. Shih, Arun Mallya, Saurabh Singh, Derek Hoiem |
| 2015 | CVPR | Learning a sequential search for landmarks. | Saurabh Singh, Derek Hoiem, David A. Forsyth |
| 2015 | WiOpt | Cluster-centric medium access control for WSNs in structural health monitoring. | Saurabh Singh, Winston Khoon Guan Seah, Bryan C. K. Ng |
| 2012 | ECCV | Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. | Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta |
| 2012 | ECCV | Unsupervised Discovery of Mid-Level Discriminative Patches. | Saurabh Singh, Abhinav Gupta, Alexei A. Efros |
| 2006 | ITC | Novel Architecture for On-Chip AC Characterization of I/Os. | N. Vijayaraghavan, Balwant Singh, Saurabh Singh, Vishal Srivastava |