23 citations · 36 across the 14 of their papers we have counts for
14 papers
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit
Chang Gao, Jianfei Chen, Kang Zhao +2
Fully quantized training (FQT) accelerates the training of deep neural networks by quantizing the activations, weights, and gradients into lower precision. To explore the ultimate…
Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-View 3D Detection and Tracking
Mingzhe Guo, Zhipeng Zhang, Liping Jing +3
We propose a unified object-aware temporal learning framework for multi-view 3D detection and tracking tasks. Having observed that the efficacy of the temporal fusion strategy in r…
End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation
Mingzhe Guo, Zhipeng Zhang, Yuan He +2
We propose UAD, a method for vision-based end-to-end autonomous driving (E2EAD), achieving the best open-loop evaluation performance in nuScenes, meanwhile showing robust closed-lo…
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection
Yu Chen, Liyan Ma, Liping Jing +1
Humans can easily distinguish the known and unknown categories and can recognize the unknown object by learning it once instead of repeating it many times without forgetting the le…
Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites
Sijin Lu, Pengyu Xu, Bing Liu +3
Posts in software Q\&A sites often consist of three main parts: title, description and code, which are interconnected and jointly describe the question. Existing tag recommendation…
Large Language Models as Zero-Shot Keyphrase Extractors: A Preliminary Empirical Study
Mingyang Song, Xuelian Geng, Songfang Yao +3
Zero-shot keyphrase extraction aims to build a keyphrase extractor without training by human-annotated data, which is challenging due to the limited human intervention involved. Ch…