Label Refinery: Improving ImageNet Classification through Label Progression. - Hessam Bagherinezhad; Maxwell Horton; Mohammad Rastegari; Ali Farhadi (CoRR, 2018)

Learning Neural Network Subspaces. - Mitchell Wortsman; Maxwell Horton; Carlos Guestrin; Ali Farhadi; Mohammad Rastegari (ICML, 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)

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 (ECCV (11), 2022)

Layer-Wise Data-Free CNN Compression. - Maxwell Horton; Yanzi Jin; Ali Farhadi; Mohammad Rastegari (ICPR, 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)

Data-Constrained Model Compression - Maxwell Horton (2022)

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)

Diffusion Models as Masked Audio-Video Learners. - Elvis Nunez; Yanzi Jin; Mohammad Rastegari; Sachin Mehta; Maxwell Horton (CoRR, 2023)

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)

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)

KV Prediction for Improved Time to First Token. - Maxwell Horton; Qingqing Cao; Chenfan Sun; Yanzi Jin; Sachin Mehta; Mohammad Rastegari; Moin Nabi (CoRR, 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)

Bytes Are All You Need: Transformers Operating Directly On File Bytes. - Maxwell Horton; Sachin Mehta; Ali Farhadi; Mohammad Rastegari (Trans. Mach. Learn. Res., 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)

An Efficient and Streaming Audio Visual Active Speaker Detection System. - Arnav Kundu; Yanzi Jin; Mohammad Hossein Sekhavat; Maxwell Horton; Danny Tormoen; Devang Naik (ICASSP, 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 (ICLR, 2025)

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache. - Rishabh Tiwari; Haocheng Xi; Aditya Tomar; Coleman Hooper; Sehoon Kim 001; Maxwell Horton; Mahyar Najibi; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (CoRR, 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, 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, 2025)