Artigos com autorizações de acesso público - Baharan MirzasoleimanSaiba mais
26 artigos disponíveis publicamente
Lazier Than Lazy Greedy
B Mirzasoleiman, A Badanidiyuru, A Karbasi, J Vondrák, A Krause
AAAI Conference on Artificial Intelligence (AAAI), 1812-1818, 2015
Autorizações: Swiss National Science Foundation, European Commission
Streaming submodular maximization: Massive data summarization on the fly
A Badanidiyuru, B Mirzasoleiman, A Karbasi, A Krause
ACM SIGKDD international conference on Knowledge discovery and data mining …, 2014
Autorizações: Swiss National Science Foundation, European Commission
Coresets for Data-efficient Training of Machine Learning Models
B Mirzasoleiman, J Bilmes, J Leskovec
International Conference on Machine Learning (ICML), 2020
Autorizações: US National Science Foundation, Swiss National Science Foundation, US …
Selection via proxy: Efficient data selection for deep learning
C Coleman, C Yeh, S Mussmann, B Mirzasoleiman, P Bailis, P Liang, ...
International Conference on Learning Representations (ICLR), 2020
Autorizações: US National Science Foundation, Swiss National Science Foundation, US …
Distributed submodular maximization: Identifying representative elements in massive data
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
Advances in Neural Information Processing Systems (NIPS), 2049-2057, 2013
Autorizações: Swiss National Science Foundation
Guaranteed non-convex optimization: Submodular maximization over continuous domains
Y Bian, B Mirzasoleiman, JM Buhmann, A Krause
International conference on Artificial Intelligence and Statistics (AISTATS), 2016
Autorizações: European Commission
Coresets for robust training of deep neural networks against noisy labels
B Mirzasoleiman, K Cao, J Leskovec
Advances in Neural Information Processing Systems 33, 11465-11477, 2020
Autorizações: US National Science Foundation, US Department of Defense, Chan Zuckerberg …
Distributed submodular maximization
B Mirzasoleiman, A Karbasi, R Sarkar, A Krause
Journal of Machine Learning Research 17 (238), 1−44, 2016
Autorizações: Swiss National Science Foundation, European Commission
Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly
B Mirzasoleiman, S Jegelka, A Krause
AAAI Conference on Artificial Intelligence (AAAI), 2018
Autorizações: US National Science Foundation, European Commission
Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten”
B Mirzasoleiman, A Karbasi, A Krause
International Conference on Machine Learning (ICML), 2449-2458, 2017
Autorizações: US Department of Defense, European Commission
Distributed submodular cover: Succinctly summarizing massive data
B Mirzasoleiman, A Karbasi, A Badanidiyuru, A Krause
Advances in Neural Information Processing Systems (NIPS), 2881-2889, 2015
Autorizações: European Commission
On the fairness of time-critical influence maximization in social networks
J Ali, M Babaei, A Chakraborty, B Mirzasoleiman, KP Gummadi, A Singla
Transactions on Knowledge and Data Engineering (TKDE), 1541-1542, 2021
Autorizações: European Commission
CrossWalk: Fairness-enhanced Node Representation Learning
A Khajehnejad, M Khajehnejad, M Babaei, KP Gummadi, A Weller, ...
AAAI Conference on Artificial Intelligence (AAAI), 2021
Autorizações: UK Engineering and Physical Sciences Research Council
Learning sparse combinatorial representations via two-stage submodular maximization
E Balkanski, B Mirzasoleiman, A Krause, Y Singer
International Conference on Machine Learning (ICML), 2207-2216, 2016
Autorizações: US National Science Foundation, European Commission
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
Y Yang, B Nushi, H Palangi, B Mirzasoleiman
International Conference on Machine Learning (ICML), 2023
Autorizações: US National Science Foundation
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Y Yang, H Kang, B Mirzasoleiman
International Conference on Machine Learning (ICML), 2023
Autorizações: US National Science Foundation
Robust Learning with Progressive Data Expansion Against Spurious Correlation
Y Deng, Y Yang, B Mirzasoleiman, Q Gu
Advances in Neural Information Processing Systems (NeurIPS), 2023
Autorizações: US National Science Foundation
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
TY Liu, Y Yang, B Mirzasoleiman
Advances in Neural Information Processing Systems (NeurIPS), 2022
Autorizações: US National Science Foundation
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
W Yang, G Jingdong, B Mirzasoleiman
Advances in Neural Information Processing Systems (NeurIPS), 2023
Autorizações: US National Science Foundation
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
S Joshi, B Mirzasoleiman
International Conference on Machine Learning (ICML), 2023
Autorizações: US National Science Foundation
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