GitHub

TurboQuant PyTorch — Implementation + Deep Tutorial

A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value caches — enhanced with a comprehensive, research-grade ...
GitHub

IDER: Idempotent Experience Replay for Reliable Continual Learning

The example results are ResNet18 on different datasets using ER and ER+ID as baseline methods with different buffers and 0-4 seeds. All results reported here were ...
IEEE

Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification

Abstract: Cross-scene classification of hyperspectral images (HSIs) aims to classify target domain (TD) data using only labeled source domain (SD) data and unlabeled TD data during training. However, ...
IEEE

Hyperspectral Image Classification via Neighborhood Adaptive Graph Isomorphism Network

Abstract: The graph convolutional network (GCN) has garnered significant attention in hyperspectral image (HSI) classification due to their ability to model non-Euclidean structured data. Compared ...