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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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07/13/2021
Automated Learning Rate Scheduler for Large-batch Training
Large-batch training has been essential in leveraging large-scale datase...
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04/21/2020
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models
We design and implement a ready-to-use library in PyTorch for performing...
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10/21/2019
Mining GOLD Samples for Conditional GANs
Conditional generative adversarial networks (cGANs) have gained a consid...
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06/13/2019
Scalable Neural Architecture Search for 3D Medical Image Segmentation
In this paper, a neural architecture search (NAS) framework is proposed ...
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05/01/2019
Fast AutoAugment
Data augmentation is an indispensable technique to improve generalizatio...
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07/08/2018
