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Amid, Ehsan
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1

To Aggregate or Not? Learning with Separate Noisy Labels:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Wei, Jiaheng ; Zhu, Zhaowei ; Luo, Tianyi... - p. 2523-2535 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Rank-Smoothed Pairwise Learning In Perceptual Quality Asses..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),
Talebi, Hossein ; Amid, Ehsan ; Milanfar, Peyman. - p. 3413-3417 , 2020
Link: https://doi.org/10.1109/..
 
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3

Distributionally Robust Post-hoc Classifiers under Prior Sh..:

Wei, Jiaheng ; Narasimhan, Harikrishna ; Amid, Ehsan...
http://arxiv.org/abs/2309.08825.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Context-Aware Meta-Learning:

Fifty, Christopher ; Duan, Dennis ; Junkins, Ronald G...
http://arxiv.org/abs/2310.10971.  , 2023
Link: http://arxiv.org/abs/231..
 
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5

Boosting with Tempered Exponential Measures:

Nock, Richard ; Amid, Ehsan ; Warmuth, Manfred K
http://arxiv.org/abs/2306.05487.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Benchmarking Neural Network Training Algorithms:

Dahl, George E ; Schneider, Frank ; Nado, Zachary...
http://arxiv.org/abs/2306.07179.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Implicit Geometry and Interaction Embeddings Improve Few-Sh..:

Fifty, Christopher ; Paggi, Joseph M ; Amid, Ehsan..
http://arxiv.org/abs/2302.02055.  , 2023
Link: http://arxiv.org/abs/230..
 
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8

Optimal Transport with Tempered Exponential Measures:

Amid, Ehsan ; Nielsen, Frank ; Nock, Richard.
http://arxiv.org/abs/2309.04015.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

The Tempered Hilbert Simplex Distance and Its Application T..:

Amid, Ehsan ; Nielsen, Frank ; Nock, Richard.
http://arxiv.org/abs/2311.13459.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Heterogeneous Federated Learning Using Knowledge Codistilla..:

Lichtarge, Jared ; Amid, Ehsan ; Kumar, Shankar...
http://arxiv.org/abs/2310.02549.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

Step-size Adaptation Using Exponentiated Gradient Updates:

Amid, Ehsan ; Anil, Rohan ; Fifty, Christopher.
http://arxiv.org/abs/2202.00145.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Learning from Randomly Initialized Neural Network Features:

Amid, Ehsan ; Anil, Rohan ; Kotłowski, Wojciech.
http://arxiv.org/abs/2202.06438.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Layerwise Bregman Representation Learning with Applications..:

Amid, Ehsan ; Anil, Rohan ; Fifty, Christopher.
http://arxiv.org/abs/2209.07080.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

To Aggregate or Not? Learning with Separate Noisy Labels:

Wei, Jiaheng ; Zhu, Zhaowei ; Luo, Tianyi...
http://arxiv.org/abs/2206.07181.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

Extracting Targeted Training Data from ASR Models, and How ..:

Amid, Ehsan ; Thakkar, Om ; Narayanan, Arun..
http://arxiv.org/abs/2204.08345.  , 2022
Link: http://arxiv.org/abs/220..
 
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