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ORCIDMaxwell Horton
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2020 – today
- 2024
[j2]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. Trans. Mach. Learn. Res. 2024 (2024)- [j1]Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta:
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024) - [i13]Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Seyed-Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari:
OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR abs/2404.14619 (2024) - [i12]Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari:
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data. CoRR abs/2404.15653 (2024) - [i11]Arnav Kundu, Yanzi Jin, Mohammad Hossein Sekhavat, Maxwell Horton, Danny Tormoen, Devang Naik:
An Efficient and Streaming Audio Visual Active Speaker Detection System. CoRR abs/2409.09018 (2024) - 2023
- [i10]Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR abs/2306.00238 (2023) - [i9]Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton:
On the Efficacy of Multi-scale Data Samplers for Vision Applications. CoRR abs/2309.04502 (2023) - [i8]Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton:
Diffusion Models as Masked Audio-Video Learners. CoRR abs/2310.03937 (2023) - [i7]Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta:
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR abs/2310.14108 (2023) - 2022
- [b1]Maxwell Horton:
Data-Constrained Model Compression. University of Washington, USA, 2022 - [c3]Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari:
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. ECCV (11) 2022: 553-568 - [c2]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. ICPR 2022: 2019-2026 - [i6]Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari:
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks. CoRR abs/2207.10237 (2022) - [i5]Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari:
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR abs/2212.10553 (2022) - 2021
- [c1]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. ICML 2021: 11217-11227 - [i4]Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari:
Learning Neural Network Subspaces. CoRR abs/2102.10472 (2021) - [i3]Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari:
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR abs/2110.04252 (2021) - 2020
- [i2]Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari:
Layer-Wise Data-Free CNN Compression. CoRR abs/2011.09058 (2020)
2010 – 2019
- 2018
- [i1]Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi:
Label Refinery: Improving ImageNet Classification through Label Progression. CoRR abs/1805.02641 (2018)
Coauthor Index
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