This repository contains PyTorch implementations for training bilinear (second-order) CNNs. The series of works listed below investigates bilinear pooling of convolutional features for fine-grained ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: In recent years, neural network-based methods have shown promising results in hyperspectral image (HSI) denoising areas. Real HSIs exhibit the substantial variations in noise distribution ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...