Ehsan Amid
Orcid: 0000-0001-6097-0226Affiliations:
- Google Brain
- University of California, Santa Cruz (former)
According to our database1,
Ehsan Amid
authored at least 49 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation.
Trans. Mach. Learn. Res., 2023
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Layerwise Bregman Representation Learning with Applications to Knowledge Distillation.
CoRR, 2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments.
Proceedings of the 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2021
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer.
Proceedings of the Algorithmic Learning Theory, 2021
2020
Tempered Bregman Divergence for Continuous and Discrete Time Mirror Descent and Robust Classification.
PhD thesis, 2020
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer.
CoRR, 2020
Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent.
CoRR, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
2017
2016
2015
Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence.
CoRR, 2015
A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Unsupervised feature extraction for multimedia event detection and ranking using audio content.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013