Alexander G. Ororbia
7 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Deep Learning
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Machine Learning
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Artificial Intelligence
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Core AI
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Learning Types Β· Deep Learning
(4)
Core Methods
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Learning Types Β· Machine Learning
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Computer Vision
(1)
Reinforcement Learning
(1)
Analysis
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Bayesian & Probabilistic
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Models
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Optimization & Theory
(1)
Keywords
local representation alignment
(2)
neural network training
(2)
representation learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
lifelong learning
(1)
mathematical reasoning
(1)
latent variable model
(1)
trajectory prediction
(1)
predictive coding
(1)
multi-objective learning
(1)
biologically plausible learning
(1)
motion synthesis
(1)
generative model
(1)
reinforcement learning
(1)
recursive neural network
(1)
variational autoencoder
(1)
sparse reward
(1)
representation alignment
(1)
active learning
(1)
Papers
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
Backprop-Free Reinforcement Learning with Active Neural Generative Coding
AAAI 2022
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract)
AAAI 2022
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
AAAI 2021
A Neural Temporal Model for Human Motion Prediction
CVPR 2019
Biologically Motivated Algorithms for Propagating Local Target Representations
AAAI 2019
Piecewise Latent Variables for Neural Variational Text Processing
EMNLP 2017