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TabPFGen -- Tabular Data Generation with TabPFN
Advances in deep generative modelling have not translated well to tabular data.
Improving Knowledge Distillation for BERT Models: Loss Functions, Mapping Methods, and Weight Tuning
The use of large transformer-based models such as BERT, GPT, and T5 has led to significant advancements in natural language processing.
On-chip learning for domain wall synapse based Fully Connected Neural Network
Spintronic devices are considered as promising candidates in implementing neuromorphic systems or hardware neural networks, which are expected to perform better than other existing computing systems for certain data classification and regression tasks.
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