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03/28/2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation
We propose a text-to-image generation algorithm based on deep neural net...
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03/20/2023
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
Autoregressive transformers have shown remarkable success in video gener...
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11/23/2022
Generalizable Implicit Neural Representations via Instance Pattern Composers
Despite recent advances in implicit neural representations (INRs), it re...
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06/09/2022
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Although autoregressive models have achieved promising results on image ...
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03/03/2022
Autoregressive Image Generation using Residual Quantization
For autoregressive (AR) modeling of high-resolution images, vector quant...
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01/17/2022
Contrastive Regularization for Semi-Supervised Learning
Consistency regularization on label predictions becomes a fundamental te...
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09/21/2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
For stability and reliability of real-world applications, the robustness...
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07/07/2020
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks
Soft labeling becomes a common output regularization for generalization ...
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05/26/2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Short-term demand forecasting models commonly combine convolutional and ...
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08/08/2017