Zobrazeno 1 - 10
of 4 506
pro vyhledávání: '"A. Havaei"'
Autor:
Humayun, Ahmed Imtiaz, Amara, Ibtihel, Schumann, Candice, Farnadi, Golnoosh, Rostamzadeh, Negar, Havaei, Mohammad
Deep generative models learn continuous representations of complex data manifolds using a finite number of samples during training. For a pre-trained generative model, the common way to evaluate the quality of the manifold representation learned, is
Externí odkaz:
http://arxiv.org/abs/2408.08307
The rise of foundation models holds immense promise for advancing AI, but this progress may amplify existing risks and inequalities, leaving marginalized communities behind. In this position paper, we discuss that disparities towards marginalized com
Externí odkaz:
http://arxiv.org/abs/2406.01757
Deep learning classifiers are prone to latching onto dominant confounders present in a dataset rather than on the causal markers associated with the target class, leading to poor generalization and biased predictions. Although explainability via coun
Externí odkaz:
http://arxiv.org/abs/2405.09288
Autor:
Sevyeri, Laya Rafiee, Sheth, Ivaxi, Farahnak, Farhood, See, Alexandre, Kahou, Samira Ebrahimi, Fevens, Thomas, Havaei, Mohammad
While neural networks are capable of achieving human-like performance in many tasks such as image classification, the impressive performance of each model is limited to its own dataset. Source-free domain adaptation (SFDA) was introduced to address k
Externí odkaz:
http://arxiv.org/abs/2304.02798
Autor:
Arezoo Fallah, Abbas Ali Imani Fooladi, Seyed Asghar Havaei, Mahdieh Mahboobi, Hamid Sedighian
Publikováno v:
Biochemistry and Biophysics Reports, Vol 40, Iss , Pp 101852- (2024)
Aptamers are nucleic acid (Ribonucleic acid (RNA) and single strand deoxyribonucleic acid (ssDNA)) with a length of approximately 25–80 bases that can bind to particular target molecules, similar to monoclonal antibodies. Due to their many benefits
Externí odkaz:
https://doaj.org/article/43f3f5ca5e75446d84a37ca055f90c57
Humans have perfected the art of learning from multiple modalities through sensory organs. Despite their impressive predictive performance on a single modality, neural networks cannot reach human level accuracy with respect to multiple modalities. Th
Externí odkaz:
http://arxiv.org/abs/2211.15071
Federated learning aims to train predictive models for data that is distributed across clients, under the orchestration of a server. However, participating clients typically each hold data from a different distribution, which can yield to catastrophi
Externí odkaz:
http://arxiv.org/abs/2211.00184
Autor:
Shakeri, Fereshteh, Boudiaf, Malik, Mohammadi, Sina, Sheth, Ivaxi, Havaei, Mohammad, Ayed, Ismail Ben, Kahou, Samira Ebrahimi
Few-shot learning has recently attracted wide interest in image classification, but almost all the current public benchmarks are focused on natural images. The few-shot paradigm is highly relevant in medical-imaging applications due to the scarcity o
Externí odkaz:
http://arxiv.org/abs/2206.00092
Autor:
Fallah, Arezoo a, Imani Fooladi, Abbas Ali b, Havaei, Seyed Asghar c, Mahboobi, Mahdieh b, Sedighian, Hamid b, ⁎
Publikováno v:
In Biochemistry and Biophysics Reports December 2024 40
Autor:
Locaspi, A. a, Akin, O. b, Withoeck, D. b, Havaei, M. b, Frassoldati, A. a, Maffei, L. Pratali a, Pelucchi, M. a, Mehl, M. a, Varghese, R.J. b, Van Geem, K.M. b, Faravelli, T. a, ⁎
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500