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2020 – today
- 2022
[c9]Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind:
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR 2022- [i12]Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind:
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR abs/2202.01944 (2022) - [i11]Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind:
The Slingshot Mechanism: An Empirical Study of Adaptive Optimizers and the Grokking Phenomenon. CoRR abs/2206.04817 (2022) - 2021
- [c8]Greg Yang, Etai Littwin:
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics. ICML 2021: 11762-11772 - [c7]Etai Littwin, Tomer Galanti, Lior Wolf:
On random kernels of residual architectures. UAI 2021: 897-907 - [i10]Greg Yang, Etai Littwin:
Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics. CoRR abs/2105.03703 (2021) - [i9]Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang:
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks. CoRR abs/2107.00364 (2021) - [i8]Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind:
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks. CoRR abs/2107.01301 (2021) - 2020
- [c6]Etai Littwin, Tomer Galanti, Lior Wolf, Greg Yang:
On Infinite-Width Hypernetworks. NeurIPS 2020 - [c5]Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan:
Collegial Ensembles. NeurIPS 2020 - [i7]Etai Littwin, Lior Wolf:
On the Convex Behavior of Deep Neural Networks in Relation to the Layers' Width. CoRR abs/2001.04878 (2020) - [i6]Etai Littwin, Lior Wolf:
Residual Tangent Kernels. CoRR abs/2001.10460 (2020) - [i5]Etai Littwin, Tomer Galanti, Lior Wolf:
On the Optimization Dynamics of Wide Hypernetworks. CoRR abs/2003.12193 (2020) - [i4]Etai Littwin, Ben Myara, Sima Sabah, Joshua M. Susskind, Shuangfei Zhai, Oren Golan:
Collegial Ensembles. CoRR abs/2006.07678 (2020)
2010 – 2019
- 2018
- [c4]Etai Littwin, Lior Wolf:
Regularizing by the Variance of the Activations' Sample-Variances. NeurIPS 2018: 2119-2129 - [i3]Etai Littwin, Lior Wolf:
Regularizing by the Variance of the Activations' Sample-Variances. CoRR abs/1811.08764 (2018) - 2016
- [c3]Etai Littwin, Lior Wolf:
The Multiverse Loss for Robust Transfer Learning. CVPR 2016: 3957-3966 - [c2]Etai Littwin, Lior Wolf:
Complexity of multiverse networks and their multilayer generalization. ICPR 2016: 372-377 - [i2]Etai Littwin, Lior Wolf:
The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization. CoRR abs/1611.02525 (2016) - 2015
- [c1]Etai Littwin, Hadar Averbuch-Elor, Daniel Cohen-Or:
Spherical embedding of inlier silhouette dissimilarities. CVPR 2015: 3855-3863 - [i1]Etai Littwin, Lior Wolf:
The Multiverse Loss for Robust Transfer Learning. CoRR abs/1511.09033 (2015)
Coauthor Index
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