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10/27/2021
A Survey of Self-Supervised and Few-Shot Object Detection
Labeling data is often expensive and time-consuming, especially for task...
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03/16/2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Model-agnostic meta-learning (MAML) is a popular method for few-shot lea...
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11/10/2020
Multimodal Pretraining for Dense Video Captioning
Learning specific hands-on skills such as cooking, car maintenance, and ...
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02/22/2019
Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification
Traditional clustering algorithms such as K-means rely heavily on the na...
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09/17/2018
Scattering Networks for Hybrid Representation Learning
Scattering networks are a class of designed Convolutional Neural Network...
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07/12/2018
Negative Momentum for Improved Game Dynamics
Games generalize the optimization paradigm by introducing different obje...
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08/08/2017
