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Found 12 papers, 4 papers with code
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
To leverage the ranking power of LLMs while meeting the low-latency demands of production systems, we propose a novel framework that distills a high performing LLM into a more efficient, low-latency student model.
Global-Local Medical SAM Adaptor Based on Full Adaption
Emerging of visual language models, such as the segment anything model (SAM), have made great breakthroughs in the field of universal semantic segmentation and significantly aid the improvements of medical image segmentation, in particular with the help of Medical SAM adaptor (Med-SA).
Prompt-Softbox-Prompt: A free-text Embedding Control for Image Editing
First, while the 'aug_embedding' captures the full semantic content of the text, its contribution to the final image generation is relatively minor.
ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
We established a benchmark for the ECG report generation task and tested our model on multiple baselines.
VSRQ: Quantitative Assessment Method for Safety Risk of Vehicle Intelligent Connected System
We evaluate the model on OpenPilot and experimentally demonstrate the effectiveness of the VSRQ model in identifying the safety of vehicle intelligent connected systems.
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel compositions using knowledge learned from seen attribute-object compositions in the training set.
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
In this work, we propose an effective cascade dual-decoder method to extract overlapping relational triples, which includes a text-specific relation decoder and a relation-corresponded entity decoder.
Progressive Co-Attention Network for Fine-grained Visual Classification
Fine-grained visual classification aims to recognize images belonging to multiple sub-categories within a same category.
Ranked #35 on
Fine-Grained Image Classification
on FGVC Aircraft
Quantum Correlations in Space-Time: Foundations and Applications
The thesis investigates quantum correlations in space-time, by treating temporal correlations equally in form as spatial correlations and unifying quantum correlations in space and time.
Quantum Physics Mesoscale and Nanoscale Physics High Energy Physics - Theory
A Bug or a Suggestion? An Automatic Way to Label Issues
More and more users and developers are using Issue Tracking Systems (ITSs) to report issues, including bugs, feature requests, enhancement suggestions, etc.
Efficient training and design of photonic neural network through neuroevolution
Recently, optical neural networks (ONNs) integrated in photonic chips has received extensive attention because they are expected to implement the same pattern recognition tasks in the electronic platforms with high efficiency and low power consumption.
Ranked #1 on
Reinforcement Learning
on iris
(using extra training data)
3D Automatic Segmentation Method for Retinal Optical Coherence Tomography Volume Data Using Boundary Surface Enhancement
We present here a novel 3D automatic segmentation method for retinal OCT volume data.
