متابعة
Behnam Neyshabur
Behnam Neyshabur
Member of Technical Staff, Anthropic
بريد إلكتروني تم التحقق منه على anthropic.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Gemini: a family of highly capable multimodal models‏
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...‏
arXiv preprint arXiv:2312.11805, 2023‏
34172023
Sharpness-Aware Minimization for Efficiently Improving Generalization‏
P Foret, A Kleiner, H Mobahi, B Neyshabur‏
International Conference on Learning Representations, 2021‏
15872021
Exploring generalization in deep learning‏
B Neyshabur, S Bhojanapalli, D McAllester, N Srebro‏
Advances in Neural Information Processing Systems, 2017‏
15432017
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models‏
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...‏
Transactions on Machine Learning Research, 2023‏
13932023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context‏
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...‏
arXiv preprint arXiv:2403.05530, 2024‏
13052024
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning‏
B Neyshabur, R Tomioka, N Srebro‏
International Conference on Learning Representations, 2015‏
7692015
Solving quantitative reasoning problems with language models‏
A Lewkowycz, A Andreassen, D Dohan, E Dyer, H Michalewski, ...‏
Advances in Neural Information Processing Systems, 2022‏
7492022
Fantastic Generalization Measures and Where to Find Them‏
Y Jiang, B Neyshabur, H Mobahi, D Krishnan, S Bengio‏
International Conference on Learning Representations, 2020‏
7302020
Stronger generalization bounds for deep nets via a compression approach‏
S Arora, R Ge, B Neyshabur, Y Zhang‏
The 35th International Conference on Machine Learning, 2018‏
7252018
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks‏
B Neyshabur, S Bhojanapalli, N Srebro‏
International Conference on Learning Representations, 2018‏
7162018
Norm-Based Capacity Control in Neural Networks‏
B Neyshabur, R Tomioka, N Srebro‏
Conference on Learning Theory, 1376–1401, 2015‏
6892015
Towards understanding the role of over-parametrization in generalization of neural networks‏
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro‏
International Conference on Learning Representations, 2019‏
6562019
What is being transferred in transfer learning?‏
B Neyshabur, H Sedghi, C Zhang‏
Advances in Neural Information Processing Systems, 2020‏
6002020
Implicit regularization in matrix factorization‏
S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro‏
Advances in neural information processing systems 30, 2017‏
5782017
Gemma 2: Improving open language models at a practical size‏
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...‏
arXiv preprint arXiv:2408.00118, 2024‏
5282024
Global Optimality of Local Search for Low Rank Matrix Recovery‏
S Bhojanapalli, B Neyshabur, N Srebro‏
Advances in Neural Information Processing Systems, 2016‏
4662016
Predicting protein–protein interactions through sequence-based deep learning‏
S Hashemifar, B Neyshabur, AA Khan, J Xu‏
Bioinformatics 34 (17), i802-i810, 2018‏
3732018
Path-SGD: Path-Normalized Optimization in Deep Neural Networks‏
B Neyshabur, RR Salakhutdinov, N Srebro‏
Advances in Neural Information Processing Systems, 2413-2421, 2015‏
3512015
Long range language modeling via gated state spaces‏
H Mehta, A Gupta, A Cutkosky, B Neyshabur‏
International Conference on Learning Representations, 2023‏
2392023
On Symmetric and Asymmetric LSHs for Inner Product Search‏
B Neyshabur, N Srebro‏
The 32nd International Conference on Machine Learning, 1926–1934, 2015‏
2262015
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20