Jacob Nielsen

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authored 2 papers 10 days ago

Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?

Paper • 2502.11895 • Published Feb 17 • 3

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes

Paper • 2502.06728 • Published Feb 10

updated a dataset 3 months ago

JacobBITLABS/Polyp-Box

Viewer • Updated Oct 11 • 3.96k • 44

published a dataset 3 months ago

JacobBITLABS/Polyp-Box

Viewer • Updated Oct 11 • 3.96k • 44

authored a paper 5 months ago

Dynaword: From One-shot to Continuously Developed Datasets

Paper • 2508.02271 • Published Aug 4 • 14

authored 3 papers about 1 year ago

Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?

Paper • 2312.04548 • Published Dec 7, 2023 • 1

BitNet b1.58 Reloaded: State-of-the-art Performance Also on Smaller Networks

Paper • 2407.09527 • Published Jun 24, 2024

When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization

Paper • 2411.05882 • Published Nov 8, 2024 • 1