دنبال کردن
Ravid Shwartz-Ziv
عنوان
نقل شده توسط
نقل شده توسط
سال
Opening the black box of deep neural networks via information‏
R Shwartz-Ziv, N Tishby‏
Entropy, 21(219), 3390, 2019‏
17942019
Tabular Data: Deep Learning is Not All You Need‏
R Shwartz-Ziv, A Armon‏
Information Fusion 81, 84-90, 2022‏
15672022
Information Flow in Deep Neural Networks‏
R Shwartz Ziv‏
arXiv preprint arXiv:2202.06749, 2022‏
192*2022
To Compress or Not to Compress--Self-Supervised Learning and Information Theory: A Review‏
R Shwartz-Ziv, Y LeCun‏
arXiv preprint arXiv:2304.09355, 2023‏
128*2023
LiveBench: A Challenging, Contamination-Free LLM Benchmark‏
C White, S Dooley, M Roberts, A Pal, B Feuer, S Jain, R Shwartz-Ziv, ...‏
672024
Information in Infinite Ensembles of Infinitely-Wide Neural Networks‏
R Shwartz-Ziv, AA Alemi‏
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019‏
59*2019
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs‏
A Chen, R Shwartz-Ziv, K Cho, ML Leavitt, N Saphra‏
arXiv preprint arXiv:2309.07311, 2023‏
532023
Representation compression and generalization in deep neural networks‏
R Shwartz-Ziv, A Painsky, N Tishby‏
https://openreview.net/pdf?id=SkeL6sCqK7, 2019‏
50*2019
The dual information bottleneck‏
Z Piran, R Shwartz-Ziv, N Tishby‏
https://arxiv.org/abs/2006.04641, 2020‏
48*2020
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors‏
R Shwartz-Ziv, M Goldblum, H Souri, S Kapoor, C Zhu, Y LeCun, ...‏
NeurIPS 2022, 2022‏
442022
What Do We Maximize in Self-Supervised Learning?‏
R Shwartz-Ziv, R Balestriero, Y LeCun‏
ICML 2022: Pre-training: Perspectives, Pitfalls, and Paths Forward workshop, 2022‏
43*2022
How much data are augmentations worth? an investigation into scaling laws, invariance, and implicit regularization‏
J Geiping, M Goldblum, G Somepalli, R Shwartz-Ziv, T Goldstein, ...‏
arXiv preprint arXiv:2210.06441, 2022‏
402022
Neural correlates of learning pure tones or natural sounds in the auditory cortex‏
I Maor, R Shwartz-Ziv, L Feigin, Y Elyada, H Sompolinsky, A Mizrahi‏
Frontiers in neural circuits 13, 82, 2020‏
39*2020
Reverse engineering self-supervised learning‏
I Ben-Shaul, R Shwartz-Ziv, T Galanti, S Dekel, Y LeCun‏
Advances in Neural Information Processing Systems 36, 58324-58345, 2023‏
382023
Attentioned convolutional LSTM inpainting network for anomaly detection in videos‏
R Shwartz-Ziv, I Ben-Ari‏
NIPS 2018 Workshop on Systems for ML, 2018‏
20*2018
Simplifying neural network training under class imbalance‏
R Shwartz-Ziv, M Goldblum, Y Li, CB Bruss, AG Wilson‏
Advances in Neural Information Processing Systems 36, 35218-35245, 2023‏
16*2023
The entropy enigma: Success and failure of entropy minimization‏
O Press, R Shwartz-Ziv, Y LeCun, M Bethge‏
Forty-first International Conference on Machine Learning (ICML 2024), 2024‏
152024
An information theory perspective on variance-invariance-covariance regularization‏
R Shwartz-Ziv, R Balestriero, K Kawaguchi, TGJ Rudner, Y LeCun‏
Advances in Neural Information Processing Systems 36, 33965-33998, 2023‏
13*2023
Does representation matter? exploring intermediate layers in large language models‏
O Skean, MR Arefin, Y LeCun, R Shwartz-Ziv‏
arXiv preprint arXiv:2412.09563, 2024‏
82024
Variance-covariance regularization improves representation learning‏
J Zhu, K Evtimova, Y Chen, R Shwartz-Ziv, Y LeCun‏
arXiv preprint arXiv:2306.13292, 2023‏
82023
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20