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Found 11 papers, 6 papers with code
Exploration of visual prompt in Grounded pre-trained open-set detection
Text prompts are crucial for generalizing pre-trained open-set object detection models to new categories.
Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels
Pain is a significant global health issue, and the current treatment options for pain management have limitations in terms of effectiveness, side effects, and potential for addiction.
Machine-learning Repurposing of DrugBank Compounds for Opioid Use Disorder
Using these predictors, we systematically analyzed the binding affinities of DrugBank compounds on four opioid receptors.
Machine-learning Analysis of Opioid Use Disorder Informed by MOR, DOR, KOR, NOR and ZOR-Based Interactome Networks
Despite that a few pharmacological agents have been approved for OUD treatment, the efficacy of said agents for OUD requires further improvement in order to provide safer and more effective pharmacological and psychosocial treatments.
Neural Weight Search for Scalable Task Incremental Learning
Task incremental learning aims to enable a system to maintain its performance on previously learned tasks while learning new tasks, solving the problem of catastrophic forgetting.
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation
And the achieved precision, sensitivity, and specificity for the COVID-19 pneumonia category are 98. 40%, 99. 59%, and 99. 50%, respectively.
MIIDL: a Python package for microbial biomarkers identification powered by interpretable deep learning
Detecting microbial biomarkers used to predict disease phenotypes and clinical outcomes is crucial for disease early-stage screening and diagnosis.
IB-DRR: Incremental Learning with Information-Back Discrete Representation Replay
However, finding a trade-off between the model performance and the number of samples to save for each class is still an open problem for replay-based incremental learning and is increasingly desirable for real-life applications.
Stability analysis and attractor dynamics of 3D dark solitons with localized dissipation
Above the stabilization threshold, we observe the attractor dynamics towards the dark soliton when initially starting from a grey soliton.
Quantum Gases
DeepFaceLab: Integrated, flexible and extensible face-swapping framework
Deepfake defense not only requires the research of detection but also requires the efforts of generation methods.
Ranked #1 on
Face Swapping
on FaceForensics++
EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering
In the main Subtask C, our primary submission was ranked fourth, with a MAP of 13. 48 and accuracy of 97. 08.
