Maxwell Horton

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Diffusion Models

Labeling Process

Top Venues

Trans. Mach. Learn. Res.

Publications

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)
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)
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 (2024)
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 (2024)
Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton
Diffusion Models as Masked Audio-Video Learners. CoRR (2023)
Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari
Bytes Are All You Need: Transformers Operating Directly On File Bytes. CoRR (2023)
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 (2023)
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 (2023)
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)
Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari
RangeAugment: Efficient Online Augmentation with Range Learning. CoRR (2022)
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 (2022)
Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
Layer-Wise Data-Free CNN Compression. ICPR (2022)
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Learning Neural Network Subspaces. CoRR (2021)
Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time. CoRR (2021)
Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari
Learning Neural Network Subspaces. ICML (2021)
Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari
Layer-Wise Data-Free CNN Compression. CoRR (2020)
Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi
Label Refinery: Improving ImageNet Classification through Label Progression. CoRR (2018)