Tamar Rott Shaham

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Unlabeled Images

Activation Function

Global Optimisation

Image Completion

Top Venues

Publications

Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR (2024)
Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR (2024)
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 (2024)
Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba
A Multimodal Automated Interpretability Agent. CoRR (2024)
Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau
Discovering Variable Binding Circuitry with Desiderata. CoRR (2023)
Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli
Internal Diverse Image Completion. CVPR Workshops (2023)
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 (2023)
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)
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 (2022)
Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli
Internal Diverse Image Completion. CoRR (2022)
Karin Jakoel, Liron Efraim, Tamar Rott Shaham
GANs Spatial Control via Inference-Time Adaptive Normalization. WACV (2022)
Gal Greshler, Tamar Rott Shaham, Tomer Michaeli
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. NeurIPS (2021)
Gal Greshler, Tamar Rott Shaham, Tomer Michaeli
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example. CoRR (2021)
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR (2021)
Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat, Tomer Michaeli
Deep Self-Dissimilarities as Powerful Visual Fingerprints. NeurIPS (2021)
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR (2020)
Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
SinGAN: Learning a Generative Model From a Single Natural Image. ICCV (2019)
Tamar Rott Shaham, Tali Dekel, Tomer Michaeli
SinGAN: Learning a Generative Model from a Single Natural Image. CoRR (2019)
Tamar Rott Shaham, Tomer Michaeli
Deformation Aware Image Compression. CVPR Workshops (2018)
Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. CVPR (2018)
Tamar Rott Shaham, Tomer Michaeli
Deformation Aware Image Compression. CoRR (2018)
Tamar Rott Shaham, Tomer Michaeli
Deformation Aware Image Compression. CVPR (2018)
Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration. CoRR (2017)
Tamar Rott Shaham, Tomer Michaeli
Visualizing Image Priors. ECCV (6) (2016)