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02/07/2023
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
We introduce a novel robotic system for improving unseen object instance...
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11/21/2022
Mean Shift Mask Transformer for Unseen Object Instance Segmentation
Segmenting unseen objects is a critical task in many different domains. ...
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10/18/2021
Relational Neural Markov Random Fields
Statistical Relational Learning (SRL) models have attracted significant ...
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05/05/2020
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition
Explainable machine learning and artificial intelligence models have bee...
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01/08/2020
Lifted Hybrid Variational Inference
A variety of lifted inference algorithms, which exploit model symmetry t...
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06/14/2019
Learning Correlated Latent Representations with Adaptive Priors
Variational Auto-Encoders (VAEs) have been widely applied for learning c...
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05/14/2019
Correlated Variational Auto-Encoders
Variational Auto-Encoders (VAEs) are capable of learning latent represen...
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06/14/2018
Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization
We propose a simple and easy to implement neural network compression alg...
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03/04/2015
Bethe Learning of Conditional Random Fields via MAP Decoding
Many machine learning tasks can be formulated in terms of predicting str...
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12/02/2012
Message-Passing Algorithms for Quadratic Minimization
Gaussian belief propagation (GaBP) is an iterative algorithm for computi...
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02/17/2010
