Shavit, Nir

9 publications

NeurIPSW 2023 Forbidden Facts: An Investigation of Competing Objectives in Llama 2 Tony Wang, Miles Kai, Kaivalya Hariharan, Nir Shavit

CVPRW 2023 Learning to Correct Sloppy Annotations in Electron Microscopy Volumes Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch

ICLR 2022 Connectome-Constrained Latent Variable Model of Whole-Brain Neural Activity Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan Samuel, Srinivas C Turaga

AAAI 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit

CVPR 2021 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov

ICML 2021 On the Predictability of Pruning Across Scales Jonathan S Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit

ICLR 2020 A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit

ICML 2020 Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks Mark Kurtz, Justin Kopinsky, Rati Gelashvili, Alexander Matveev, John Carr, Michael Goin, William Leiserson, Sage Moore, Nir Shavit, Dan Alistarh

ICML 2017 Deep Tensor Convolution on Multicores David Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit