
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
Given a single RGB panorama, the goal of 3D layout reconstruction is to ...
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Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
Automated mathematical reasoning is a challenging problem that requires ...
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Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack
Given a collection of strings belonging to a context free grammar (CFG) ...
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Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment
Training deep neural networks on largescale datasets requires significa...
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Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication
For lossy image compression, we develop a neuralbased system which lear...
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The Neural State Pushdown Automata
In order to learn complex grammars, recurrent neural networks (RNNs) req...
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Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively
In lifelong learning systems, especially those based on artificial neura...
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Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations
Temporal models based on recurrent neural networks have proven to be qui...
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Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Temporal models based on recurrent neural networks have proven to be qui...
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A Neural Temporal Model for Human Motion Prediction
We propose novel neural temporal models for shortterm motion prediction...
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Visually Grounded, Situated Learning in Neural Models
The theory of situated cognition postulates that language is inseparable...
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Biologically Motivated Algorithms for Propagating Local Target Representations
Finding biologically plausible alternatives to backpropagation of error...
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Learned Iterative Decoding for Lossy Image Compression Systems
For lossy image compression systems, we develop an algorithm called iter...
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Conducting Credit Assignment by Aligning Local Representations
The use of backpropagation and its variants to train deep networks is o...
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Ankur Mali
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