Xiaopeng Zhang

Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations

2020 · arXiv (Cornell University)

Contrastive learning has achieved great success in self-supervised visual representation learning, but existing approaches mostly ignored spatial information which is often crucial for visual representation. This paper presents heterogeneous contrastive learning (HCL), an effective approach …

M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios

2023 · arXiv (Cornell University)

In realistic open-set scenarios where labels of a part of testing data are totally unknown, when vision-language (VL) prompt learning methods encounter inputs related to unknown classes (i.e., not seen during training), they always predict …

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

2023 · arXiv (Cornell University)

Recently years have witnessed a rapid development of large language models (LLMs). Despite the strong ability in many language-understanding tasks, the heavy computational burden largely restricts the application of LLMs especially when one needs to …