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05/23/2023
Effortless Integration of Memory Management into Open-Domain Conversation Systems
Open-domain conversation systems integrate multiple conversation skills ...
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03/21/2023
MAGVLT: Masked Generative Vision-and-Language Transformer
While generative modeling on multimodal image-text data has been activel...
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10/11/2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
Episodic count has been widely used to design a simple yet effective int...
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09/17/2022
Selective Token Generation for Few-shot Natural Language Generation
Natural language modeling with limited training data is a challenging pr...
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03/22/2022
Insights From the NeurIPS 2021 NetHack Challenge
In this report, we summarize the takeaways from the first NeurIPS 2021 N...
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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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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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06/11/2021
Hybrid Generative-Contrastive Representation Learning
Unsupervised representation learning has recently received lots of inter...
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03/10/2021
Spatially Consistent Representation Learning
Self-supervised learning has been widely used to obtain transferrable re...
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10/22/2020
Learning Loss for Test-Time Augmentation
Data augmentation has been actively studied for robust neural networks. ...
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08/26/2020
Visual Concept Reasoning Networks
A split-transform-merge strategy has been broadly used as an architectur...
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05/09/2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019
NeurIPS 2019 AutoDL challenge is a series of six automated machine learn...
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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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04/16/2020
Spatially Attentive Output Layer for Image Classification
Most convolutional neural networks (CNNs) for image classification use a...
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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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05/04/2019
Edge-labeling Graph Neural Network for Few-shot Learning
In this paper, we propose a novel edge-labeling graph neural network (EG...
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05/01/2019
Fast AutoAugment
Data augmentation is an indispensable technique to improve generalizatio...
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06/11/2018
