Deep Learning
Constrained Graph Variational Autoencoders for Molecule Design
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
Neural Information Processing Systems http://nips.cc/
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
The dataset is created to addressing a real-world challenge: creating a clean fine-grained taxonomy dataset.
Porcupine Neural Networks: Approximating Neural Network Landscapes
Soheil Feizi, Hamid Javadi, Jesse Zhang, David Tse
Neural Information Processing Systems http://nips.cc/
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao
Given a text description, we immediately imagine an overall visual impression using this prior and, based on this, we draw a picture by progressively adding more andmore details.
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Spider, the SOT A, in terms of execution accuracy, was 79.9 and the new SOT A at
Re-examination of the Role of Latent Variables in Sequence Modeling
Guokun Lai, Zihang Dai, Yiming Yang, Shinjae Yoo
Neural Information Processing Systems http://nips.cc/
