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Anil, Rohan
179  Ergebnisse:
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1

Knowledge distillation: A good teacher is patient and consi..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Beyer, Lucas ; Zhai, Xiaohua ; Royer, Amelie... - p. 10915-10924 , 2022
Link: https://doi.org/10.1109/..
 
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2

TF-Ranking : Scalable TensorFlow Library for Learning-to..:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Pasumarthi, Rama Kumar ; Bruch, Sebastian ; Wang, Xuanhui... - p. 2970-2978 , 2019
Link: https://dl.acm.org/doi/1..
 
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3

Wide & Deep Learning for Recommender Systems:

, In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems,
Cheng, Heng-Tze ; Koc, Levent ; Harmsen, Jeremiah... - p. 7-10 , 2016
Link: https://dl.acm.org/doi/1..
 
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4

Sketchy: Memory-efficient Adaptive Regularization with Freq..:

Feinberg, Vladimir ; Chen, Xinyi ; Sun, Y. Jennifer..
http://arxiv.org/abs/2302.03764.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

PaLM 2 Technical Report:

Anil, Rohan ; Dai, Andrew M ; Firat, Orhan...
http://arxiv.org/abs/2305.10403.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

A Computationally Efficient Sparsified Online Newton Method:

Devvrit, Fnu ; Duvvuri, Sai Surya ; Anil, Rohan...
http://arxiv.org/abs/2311.10085.  , 2023
Link: http://arxiv.org/abs/231..
 
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7

Gemini: A Family of Highly Capable Multimodal Models:

Gemini Team ; Anil, Rohan ; Borgeaud, Sebastian...
http://arxiv.org/abs/2312.11805.  , 2023
Link: http://arxiv.org/abs/231..
 
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8

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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9

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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10

On the Factory Floor: ML Engineering for Industrial-Scale A..:

Anil, Rohan ; Gadanho, Sandra ; Huang, Da...
http://arxiv.org/abs/2209.05310.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

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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12

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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13

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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14

N-Grammer: Augmenting Transformers with latent n-grams:

Roy, Aurko ; Anil, Rohan ; Lai, Guangda...
http://arxiv.org/abs/2207.06366.  , 2022
Link: http://arxiv.org/abs/220..
 
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15

LocoProp: Enhancing BackProp via Local Loss Optimization:

Amid, Ehsan ; Anil, Rohan ; Warmuth, Manfred K
http://arxiv.org/abs/2106.06199.  , 2021
Link: http://arxiv.org/abs/210..
 
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