Search Results for author: Eric Lo

Found 4 papers, 4 papers with code

Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines

1 code implementation18 May 2024 Chaokun Chang, Eric Lo, Chunxiao Ye

Recent literature on interpretable machine learning reveals that most machine learning models exhibit a notable degree of resilience to variations in input.

Interpretable Machine Learning

Real-World Image Variation by Aligning Diffusion Inversion Chain

2 code implementations NeurIPS 2023 Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia

Our pipeline enhances the generation quality of image variations by aligning the image generation process to the source image's inversion chain.

Image-Variation Semantic Similarity +2

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition

2 code implementations22 Mar 2022 Zhisheng Zhong, Jiequan Cui, Zeming Li, Eric Lo, Jian Sun, Jiaya Jia

Given the promising performance of contrastive learning, we propose Rebalanced Siamese Contrastive Mining (ResCom) to tackle imbalanced recognition.

Contrastive Learning Long-tail Learning +1

Dash: Scalable Hashing on Persistent Memory

1 code implementation16 Mar 2020 Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo

Byte-addressable persistent memory (PM) brings hash tables the potential of low latency, cheap persistence and instant recovery.

Databases

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