Maxwell Horton

According to our database, Maxwell Horton authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar

CoRR, June, 2025

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs.

Kumari Nishu, Sachin Mehta, Samira Abnar, Mehrdad Farajtabar, Maxwell Horton, Mahyar Najibi, Moin Nabi, Minsik Cho, Devang Naik

CoRR, February, 2025

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache.

Rishabh Tiwari, Haocheng Xi, Aditya Tomar, Coleman Hooper, Sehoon Kim, Maxwell Horton, Mahyar Najibi, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

CoRR, February, 2025

SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators.

Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

An Efficient and Streaming Audio Visual Active Speaker Detection System.

Arnav Kundu, Yanzi Jin, Mohammad Hossein Sekhavat, Maxwell Horton, Danny Tormoen, Devang Naik

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.

Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

Trans. Mach. Learn. Res., 2024

Bytes Are All You Need: Transformers Operating Directly On File Bytes.

Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari

Trans. Mach. Learn. Res., 2024

SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF.

Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh

CoRR, 2024

KV Prediction for Improved Time to First Token.

Maxwell Horton, Qingqing Cao, Chenfan Sun, Yanzi Jin, Sachin Mehta, Mohammad Rastegari, Moin Nabi

CoRR, 2024

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data.

Sachin Mehta, Maxwell Horton, Fartash Faghri, Mohammad Hossein Sekhavat, Mahyar Najibi, Mehrdad Farajtabar, Oncel Tuzel, Mohammad Rastegari

CoRR, 2024

OpenELM: An Efficient Language Model Family with Open Training and Inference Framework.

Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari

CoRR, 2024

2023

Diffusion Models as Masked Audio-Video Learners.

Elvis Nunez, Yanzi Jin, Mohammad Rastegari, Sachin Mehta, Maxwell Horton

CoRR, 2023

On the Efficacy of Multi-scale Data Samplers for Vision Applications.

Elvis Nunez, Thomas Merth, Anish Prabhu, Mehrdad Farajtabar, Mohammad Rastegari, Sachin Mehta, Maxwell Horton

CoRR, 2023

2022

Data-Constrained Model Compression

Maxwell Horton

PhD thesis, 2022

RangeAugment: Efficient Online Augmentation with Range Learning.

Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari

CoRR, 2022

Layer-Wise Data-Free CNN Compression.

Maxwell Horton, Yanzi Jin, Ali Farhadi, Mohammad Rastegari

Proceedings of the 26th International Conference on Pattern Recognition, 2022

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks.

Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time.

Elvis Nunez, Maxwell Horton, Anish Prabhu, Anurag Ranjan, Ali Farhadi, Mohammad Rastegari

CoRR, 2021

Learning Neural Network Subspaces.

Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari

Proceedings of the 38th International Conference on Machine Learning, 2021

2018

Label Refinery: Improving ImageNet Classification through Label Progression.

Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, Ali Farhadi

CoRR, 2018