research
∙
08/23/2023
IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning
With the increasing size of pre-trained language models (PLMs), fine-tun...
share
research
∙
07/04/2023
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care
The recent advances in NLP, have led to a new trend of applying LLMs to ...
research
∙
04/20/2023
Learning Bottleneck Concepts in Image Classification
Interpreting and explaining the behavior of deep neural networks is crit...
research
∙
04/07/2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
For an autonomous robotic system, monitoring surgeon actions and assisti...
research
∙
11/25/2020
Match Them Up: Visually Explainable Few-shot Image Classification
Few-shot learning (FSL) approaches are usually based on an assumption th...
research
∙
11/07/2020
Grading the Severity of Arteriolosclerosis from Retinal Arterio-venous Crossing Patterns
The status of retinal arteriovenous crossing is of great significance fo...
research
∙
10/19/2020
Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
Semantic video segmentation is a key challenge for various applications....
research
∙
09/14/2020
SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
Explainable artificial intelligence is gaining attention. However, most ...
research
∙
05/27/2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Retinal imaging serves as a valuable tool for diagnosis of various disea...
research
∙
12/12/2019
