Tamar Rott Shaham

According to our database, Tamar Rott Shaham authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Stephanie Fu, Adrián Rodríguez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba

CoRR, 2024

A Multimodal Automated Interpretability Agent.

Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking.

Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Vision Check-up for Language Models.

Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad, Adrián Rodríuez-Muñoz, Shivam Duggal, Phillip Isola, Antonio Torralba, Stephanie Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Function Interpretation Benchmark for Evaluating Interpretability Methods.

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

CoRR, 2023

Discovering Variable Binding Circuitry with Desiderata.

Xander Davies, Max Nadeau, Nikhil Prakash, Tamar Rott Shaham, David Bau

CoRR, 2023

FIND: A Function Description Benchmark for Evaluating Interpretability Methods.

Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Internal Diverse Image Completion.

Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning.

Idan Kligvasser, Tamar Rott Shaham, Noa Alkobi, Tomer Michaeli

CoRR, 2022

GANs Spatial Control via Inference-Time Adaptive Normalization.

Karin Jakoel, Liron Efraim, Tamar Rott Shaham

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Deep Self-Dissimilarities as Powerful Visual Fingerprints.

Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat, Tomer Michaeli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example.

Gal Greshler, Tamar Rott Shaham, Tomer Michaeli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spatially-Adaptive Pixelwise Networks for Fast Image Translation.

Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

SinGAN: Learning a Generative Model From a Single Natural Image.

Tamar Rott Shaham, Tali Dekel, Tomer Michaeli

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deformation Aware Image Compression.

Tamar Rott Shaham, Tomer Michaeli

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

xUnit: Learning a Spatial Activation Function for Efficient Image Restoration.

Idan Kligvasser, Tamar Rott Shaham, Tomer Michaeli

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Visualizing Image Priors.

Tamar Rott Shaham, Tomer Michaeli

Proceedings of the Computer Vision - ECCV 2016, 2016