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01/27/2023
Call for Papers – The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus
We present the call for papers for the BabyLM Challenge: Sample-efficien...
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10/05/2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Recent methods for learning unsupervised visual representations, dubbed ...
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05/27/2020
On Mutual Information in Contrastive Learning for Visual Representations
In recent years, several unsupervised, "contrastive" learning algorithms...
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05/28/2019
Unsupervised Learning from Video with Deep Neural Embeddings
Because of the rich dynamical structure of videos and their ubiquity in ...
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05/28/2019
Local Label Propagation for Large-Scale Semi-Supervised Learning
A significant issue in training deep neural networks to solve supervised...
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03/29/2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
Unsupervised approaches to learning in neural networks are of substantia...
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06/21/2018
Flexible Neural Representation for Physics Prediction
Humans have a remarkable capacity to understand the physical dynamics of...
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11/14/2014