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Found 6 papers, 3 papers with code
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference
Commonsense inference poses a unique challenge to reason and generate the physical, social, and causal conditions of a given event.
Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation
We propose a text-guided variational image generation method to address the challenge of getting clean data for anomaly detection in industrial manufacturing.
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
To mitigate the detrimental effect of the bias on the networks, previous works have proposed debiasing methods that down-weight the biased examples identified by an auxiliary model, which is trained with explicit bias labels.
Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications in Finance
One of the most promising applications in the era of NISQ (Noisy Intermediate-Scale Quantum) computing is quantum machine learning.
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
Masked language modeling (MLM) has been widely used for pre-training effective bidirectional representations, but incurs substantial training costs.
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Recently, with the significant developments in deep learning techniques, solving underdetermined inverse problems has become one of the major concerns in the medical imaging domain.
