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Cristobal Eyzaguirre
Cristobal Eyzaguirre
Ph.D. Student, Stanford University
Zweryfikowany adres z stanford.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Revisiting the" video" in video-language understanding
S Buch, C Eyzaguirre, A Gaidon, J Wu, L Fei-Fei, JC Niebles
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1732022
Differentiable adaptive computation time for visual reasoning
C Eyzaguirre, A Soto
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
192020
Self-supervised learning of representations for space generates multi-modular grid cells
R Schaeffer, M Khona, T Ma, C Eyzaguirre, S Koyejo, I Fiete
Advances in Neural Information Processing Systems 36, 23140-23157, 2023
172023
Hourvideo: 1-hour video-language understanding
K Chandrasegaran, A Gupta, LM Hadzic, T Kota, J He, C Eyzaguirre, ...
arXiv preprint arXiv:2411.04998, 2024
122024
When Do Universal Image Jailbreaks Transfer Between Vision-Language Models?
R Schaeffer, D Valentine, L Bailey, J Chua, C Eyzaguirre, Z Durante, ...
arXiv preprint arXiv:2407.15211, 2024
72024
DACT-BERT: Differentiable adaptive computation time for an efficient BERT inference
C Eyzaguirre, F del Rio, V Araujo, A Soto
arXiv preprint arXiv:2109.11745, 2021
52021
DACT-BERT: Increasing the efficiency and interpretability of BERT by using adaptive computation time.
C Eyzaguirre, F del Rio, V Araujo, A Soto
22020
Streaming detection of queried event start
C Eyzaguirre, E Tang, S Buch, A Gaidon, J Wu, JC Niebles
arXiv preprint arXiv:2412.03567, 2024
12024
Ikea manuals at work: 4d grounding of assembly instructions on internet videos
Y Liu, C Eyzaguirre, M Li, S Khanna, JC Niebles, V Ravi, S Mishra, W Liu, ...
arXiv preprint arXiv:2411.11409, 2024
12024
A differentiable adaptive computation time algorithm for neural networks
C Eyzaguirre
PQDT-Global, 2021
2021
Next Item Recommendation using Sequence Embedding and Pairwise Loss
C Eyzaguirre, R Skog
2018
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
R Schaeffer, D Valentine, L Bailey, J Chua, Z Durante, C Eyzaguirre, ...
Red Teaming GenAI: What Can We Learn from Adversaries?, 0
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