Singh, Saurabh

21 publications

ICLR 2026 Latent Stochastic Interpolants Saurabh Singh, Dmitry Lagun

ICLRW 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions Nate Gillman, Daksh Aggarwal, Michael Freeman, Saurabh Singh, Chen Sun

ICLR 2023 LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

ICLR 2023 Weighted Ensemble Self-Supervised Learning Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon

NeurIPSW 2022 Trajectory Ensembling for Fine Tuning - Performance Gains Without Modifying Training Louise Anderson-Conway, Vighnesh Birodkar, Saurabh Singh, Hossein Mobahi, Alexander A Alemi

CVPR 2020 Deep Implicit Volume Compression Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Hane, Mingsong Dou, Sean Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin

CVPR 2020 Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks Saurabh Singh, Shankar Krishnan

CVPR 2020 PatchVAE: Learning Local Latent Codes for Recognition Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

ICLR 2020 Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava

ICCV 2019 EvalNorm: Estimating Batch Normalization Statistics for Evaluation Saurabh Singh, Abhinav Shrivastava

CVPR 2018 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 Chinen, Sung Jin Hwang, Joel Shor, George Toderici

ICLR 2018 Variational Image Compression with a Scale Hyperprior Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston

ICCV 2017 Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks Tanmay Gupta, Kevin Shih, Saurabh Singh, Derek Hoiem

ICCV 2017 No Fuss Distance Metric Learning Using Proxies Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh

ICCV 2017 Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

CVPR 2016 Learning to Localize Little Landmarks Saurabh Singh, Derek Hoiem, David Forsyth

NeurIPS 2016 Swapout: Learning an Ensemble of Deep Architectures Saurabh Singh, Derek Hoiem, David Forsyth

CVPR 2016 Where to Look: Focus Regions for Visual Question Answering Kevin J. Shih, Saurabh Singh, Derek Hoiem

CVPR 2015 Learning a Sequential Search for Landmarks Saurabh Singh, Derek Hoiem, David Forsyth

ECCV 2012 Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

ECCV 2012 Unsupervised Discovery of Mid-Level Discriminative Patches Saurabh Singh, Abhinav Gupta, Alexei A. Efros