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ORCIDTamar Rott Shaham
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2020 – today
- 2024
[c14]Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu:
A Vision Check-up for Language Models. CVPR 2024: 14410-14419- [c13]Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau:
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR 2024 - [c12]Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. ICML 2024 - [i12]Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba:
A Vision Check-up for Language Models. CoRR abs/2401.01862 (2024) - [i11]Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
:
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR abs/2402.14811 (2024) - [i10]Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba:
A Multimodal Automated Interpretability Agent. CoRR abs/2404.14394 (2024) - 2023
- [c11]Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli:
Internal Diverse Image Completion. CVPR Workshops 2023: 648-658 - [c10]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS 2023 - [i9]Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau:
Discovering Variable Binding Circuitry with Desiderata. CoRR abs/2307.03637 (2023) - [i8]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR abs/2309.03886 (2023) - 2022
- [c9]Karin Jakoel, Liron Efraim, Tamar Rott Shaham:
GANs Spatial Control via Inference-Time Adaptive Normalization. WACV 2022: 31-40 - [i7]Idan Kligvasser, Tamar Rott Shaham, Noa Alkobi, Tomer Michaeli:
BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning. CoRR abs/2212.01589 (2022) - [i6]Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli:
Internal Diverse Image Completion. CoRR abs/2212.10280 (2022) - 2021
- [c8]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR 2021: 14882-14891 - [c7]Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat, Tomer Michaeli:
Deep Self-Dissimilarities as Powerful Visual Fingerprints. NeurIPS 2021: 3939-3951 - [c6]Gal Greshler, Tamar Rott Shaham, Tomer Michaeli:
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. NeurIPS 2021: 20916-20928 - [i5]Gal Greshler, Tamar Rott Shaham, Tomer Michaeli:
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. CoRR abs/2106.06426 (2021) - 2020
- [i4]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR abs/2012.02992 (2020)
2010 – 2019
- 2019
- [c5]Tamar Rott Shaham, Tali Dekel, Tomer Michaeli:
SinGAN: Learning a Generative Model From a Single Natural Image. ICCV 2019: 4569-4579 - [i3]Tamar Rott Shaham, Tali Dekel, Tomer Michaeli:
SinGAN: Learning a Generative Model from a Single Natural Image. CoRR abs/1905.01164 (2019) - 2018
- [c4]Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli:
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. CVPR 2018: 2433-2442 - [c3]Tamar Rott Shaham, Tomer Michaeli:
Deformation Aware Image Compression. CVPR 2018: 2453-2462 - [c2]Tamar Rott Shaham, Tomer Michaeli:
Deformation Aware Image Compression. CVPR Workshops 2018: 2583-2586 - [i2]Tamar Rott Shaham, Tomer Michaeli:
Deformation Aware Image Compression. CoRR abs/1804.04593 (2018) - 2017
- [i1]Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli:
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. CoRR abs/1711.06445 (2017) - 2016
- [c1]Tamar Rott Shaham, Tomer Michaeli:
Visualizing Image Priors. ECCV (6) 2016: 136-153
Coauthor Index
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last updated on 2024-10-07 02:39 CEST by the dblp team
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