フォロー
Hanie Sedghi
Hanie Sedghi
Senior Research Scientist, Google DeepMind
確認したメール アドレス: google.com - ホームページ
タイトル
引用先
引用先
What is being transferred in transfer learning?
B Neyshabur, H Sedghi, C Zhang
Neural Information Processing Systems (NeurIPS), 2020
4512020
Beating the perils of non-convexity: Guaranteed training of neural networks using tensor methods
M Janzamin, H Sedghi, A Anandkumar
arXiv preprint arXiv:1506.08473, 2015
2512015
The Singular Values of Convolutional Layers
H Sedghi, V Gupta, PM Long
arXiv preprint arXiv:1805.10408, 2018
2142018
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
R Entezari, H Sedghi, O Saukh, B Neyshabur
International Conference on Learning Representations, 2022
1492022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
S Garg, S Balakrishnan, ZC Lipton, B Neyshabur, H Sedghi
International Conference on Learning Representations, 2022
1182022
Generalization bounds for deep convolutional neural networks
PM Long, H Sedghi
International Conference on Learning Representations, 2020
114*2020
Exploring the Limits of Large Scale Pre-training
S Abnar, M Dehghani, B Neyshabur, H Sedghi
International Conference on Learning Representations, 2022
1122022
Provable tensor methods for learning mixtures of generalized linear models
H Sedghi, M Janzamin, A Anandkumar
Artificial Intelligence and Statistics, 1223-1231, 2016
1022016
Provable Methods for Training Neural Networks with Sparse Connectivity
H Sedghi, A Anandkumar
arXiv preprint arXiv:1412.2693, 2014
792014
Statistical Structure Learning to Ensure Data Integrity in Smart Grid
H Sedghi, E Jonckheere
IEEE Transactions on Smart Grid 6 (4), 1924-1933, 2015
722015
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
P Nakkiran, B Neyshabur, H Sedghi
International Conference on Learning Representations, 2021
71*2021
Teaching Algorithmic Reasoning via In-context Learning
H Zhou, A Nova, H Larochelle, A Courville, B Neyshabur, H Sedghi
arXiv preprint arXiv:2211.09066, 2022
572022
The intriguing role of module criticality in the generalization of deep networks
NS Chatterji, B Neyshabur, H Sedghi
International Conference on Learning Representations, 2020
562020
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
K Jordan, H Sedghi, O Saukh, R Entezari, B Neyshabur
ICLR 2023, 2022
482022
Score Function Features for Discriminative Learning: Matrix and Tensor Framework
M Janzamin, H Sedghi, A Anandkumar
arXiv preprint arXiv:1412.2863, 2014
482014
Statistical structure learning of smart grid for detection of false data injection
H Sedghi, E Jonckheere
2013 IEEE Power & Energy Society General Meeting, 1-5, 2013
452013
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ...
arXiv preprint arXiv:2312.06585, 2023
352023
Sysml: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
292019
A game-theoretic approach for power allocation in bidirectional cooperative communication
M Janzamin, MR Pakravan, H Sedghi
2010 IEEE Wireless Communication and Networking Conference, 1-6, 2010
282010
Size-free generalization bounds for convolutional neural networks
PM Long, H Sedghi
272019
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論文 1–20