4 papers
Large language models in materials science and the need for open-source approaches
Fengxu Yang, Weitong Chen, Jack D. Evans
Large language models (LLMs) are rapidly transforming materials science. This review examines recent LLM applications across the materials discovery pipeline, focusing on three key…
Calibrating Deep Neural Network using Euclidean Distance
Wenhao Liang, Chang Dong, Liangwei Zheng +2
Uncertainty is a fundamental aspect of real-world scenarios, where perfect information is rarely available. Humans naturally develop complex internal models to navigate incomplete…
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
Zechao Sun, Shuying Piao, Haolin Jin +4
Class Incremental Semantic Segmentation (CISS) aims to mitigate catastrophic forgetting by maintaining a balance between previously learned and newly introduced knowledge. Existing…
TrojanTime: Backdoor Attacks on Time Series Classification
Chang Dong, Zechao Sun, Guangdong Bai +3
Time Series Classification (TSC) is highly vulnerable to backdoor attacks, posing significant security threats. Existing methods primarily focus on data poisoning during the traini…