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Colby Banbury

7 accepted papers

2026

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference

ICLR 2026poster

The ever-increasing computational demands of large language models (LLMs) make efficient inference a central challenge. While recent advances leverage specialized architectures or selective activation, they typically require (re)training or architectural modifications, limiting their broad applicabi…

Cited by 0SourcecodeScholar
2025

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression

CVPR 2025poster

Structured pruning and quantization are fundamental techniques used to reduce the size of deep neural networks (DNNs) and typically are applied independently. Applying these techniques jointly via co-optimization has the potential to produce smaller, high-quality models. However, existing joint sche…

2025

WinSpot: GUI Grounding Benchmark with Multimodal Large Language Models

ACL 2025short

Graphical User Interface (GUI) automation relies on accurate GUI grounding. However, obtaining large-scale, high-quality labeled data remains a key challenge, particularly in desktop environments like Windows Operating System (OS). Existing datasets primarily focus on structured web-based elements,…

2024

MobileNetV4: Universal Models for the Mobile Ecosystem

ECCV 2024oral

"We present the latest generation of MobileNets: MobileNetV4 (MNv4). They feature universally-efficient architecture designs for mobile devices. We introduce the Universal Inverted Bottleneck (UIB) search block, a unified and flexible structure that merges Inverted Bottleneck (IB), ConvNext, Feed Fo…

2023

DataPerf: Benchmarks for Data-Centric AI Development

NeurIPS 2023poster

Machine learning research has long focused on models rather than datasets, and prominent datasets are used for common ML tasks without regard to the breadth, difficulty, and faithfulness of the underlying problems. Neglecting the fundamental importance of data has given rise to inaccuracy, bias, and…

2021

MLPerf Tiny Benchmark

NeurIPS 2021poster

Advancements in ultra-low-power tiny machine learning (TinyML) systems promise to unlock an entirely new class of smart applications. However, continued progress is limited by the lack of a widely accepted and easily reproducible benchmark for these systems. To meet this need, we present MLPerf Tiny…

Cited by 246SourceScholar
2021

Multilingual Spoken Words Corpus

NeurIPS 2021poster

Multilingual Spoken Words Corpus is a large and growing audio dataset of spoken words in 50 languages collectively spoken by over 5 billion people, for academic research and commercial applications in keyword spotting and spoken term search, licensed under CC-BY 4.0. The dataset contains more than 3…

Cited by 66SourceScholar