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Ehsan Amid
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32
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
16 December 2024 by
Gemini Team
and
others
at
Google
Computation and Language
,
Artificial Intelligence
Restructuring Vector Quantization with the Rotation Trick
8 October 2024 by
Christopher Fifty
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Gemini: A Family of Highly Capable Multimodal Models
1
20 May 2024 by
Gemini Team
and
others
at
Google
Computation and Language
,
Artificial Intelligence
Context-Aware Meta-Learning
25 March 2024 by
Christopher Fifty
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Noise misleads rotation invariant algorithms on sparse targets
5 March 2024 by
Manfred Warmuth
and
others
Machine Learning
Optimal Transport with Tempered Exponential Measures
16 February 2024 by
Ehsan Amid
and
others
Machine Learning
,
Optimization and Control
Tempered Calculus for ML: Application to Hyperbolic Model Embedding
6 February 2024 by
Richard Nock
and
others
at
Google
Machine Learning
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs
22 November 2023 by
Ehsan Amid
and
others
Machine Learning
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction
6 October 2023 by
Christopher Fifty
and
others
Machine Learning
Heterogeneous Federated Learning Using Knowledge Codistillation
4 October 2023 by
Jared Lichtarge
and
others
Machine Learning
Distributionally Robust Post-hoc Classifiers under Prior Shifts
16 September 2023 by
Jiaheng Wei
and
others
Machine Learning
,
Artificial Intelligence
Benchmarking Neural Network Training Algorithms
12 June 2023 by
George Dahl
and
others
Machine Learning
Boosting with Tempered Exponential Measures
8 June 2023 by
Richard Nock
and
others
Machine Learning
To Aggregate or Not? Learning with Separate Noisy Labels
20 October 2022 by
Jiaheng Wei
and
others
Machine Learning
Extracting Targeted Training Data from ASR Models, and How to Mitigate It
28 June 2022 by
Ehsan Amid
and
others
Sound
,
Cryptography and Security
Public Data-Assisted Mirror Descent for Private Model Training
28 March 2022 by
Ehsan Amid
and
others
Machine Learning
,
Cryptography and Security
TriMap: Large-scale Dimensionality Reduction Using Triplets
26 March 2022 by
Ehsan Amid
and
Manfred Warmuth
at
Google
Machine Learning
Learning from Randomly Initialized Neural Network Features
13 February 2022 by
Ehsan Amid
and
others
Machine Learning
Constrained Instance and Class Reweighting for Robust Learning under Label Noise
9 November 2021 by
Abhishek Kumar
and
Ehsan Amid
Machine Learning
Efficiently Identifying Task Groupings for Multi-Task Learning
25 October 2021 by
Christopher Fifty
and
others
Machine Learning
,
Artificial Intelligence
Privacy-Preserving Wireless Federated Learning Exploiting Inherent Hardware Impairments
29 August 2021 by
Ehsan Amid
and
others
Information Theory
,
Signal Processing
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
3 April 2021 by
Negin Majidi
and
others
Machine Learning
Measuring and Harnessing Transference in Multi-Task Learning
9 February 2021 by
Christopher Fifty
and
others
Machine Learning
,
Artificial Intelligence
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment
21 November 2020 by
Hossein Talebi
and
others
Computer Vision and Pattern Recognition
,
Machine Learning
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer
16 October 2020 by
Manfred Warmuth
and
others
Machine Learning
Reparameterizing Mirror Descent as Gradient Descent
22 June 2020 by
Ehsan Amid
and
Manfred Warmuth
Machine Learning
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
21 February 2020 by
Ehsan Amid
and
Manfred Warmuth
Machine Learning
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
11 September 2019 by
Ehsan Amid
and
Manfred Warmuth
Machine Learning
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
26 August 2019 by
Ehsan Amid
and
others
Machine Learning
Two-temperature logistic regression based on the Tsallis divergence
3 August 2019 by
Ehsan Amid
and
others
Machine Learning
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Topics
Machine Learning
Artificial Intelligence
Computer Vision and Pattern Recognition
Cryptography and Security
Information Theory
Computation and Language
Optimization and Control
Sound
Audio and Speech Processing
Signal Processing
Robotics
Information Retrieval