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Greatest papers with code

TensorNetwork for Machine Learning

7 Jun 2019google/TensorNetwork

We demonstrate the use of tensor networks for image classification with the TensorNetwork open source library.

IMAGE CLASSIFICATION TENSOR NETWORKS

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks

3 May 2019google/TensorNetwork

TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow.

4 TENSOR NETWORKS

TensorNetwork: A Library for Physics and Machine Learning

3 May 2019google/TensorNetwork

TensorNetwork is an open source library for implementing tensor network algorithms.

TENSOR NETWORKS

Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)

11 Mar 2017voicy-ai/DialogStateTracking

We propose extensions for the Dynamic Memory Network (DMN), specifically within the attention mechanism, we call the resulting Neural Architecture as Dynamic Memory Tensor Network (DMTN).

QUESTION ANSWERING TENSOR NETWORKS

Supervised Learning with Tensor Networks

NeurIPS 2016 emstoudenmire/TNML

Tensor networks are approximations of high-order tensors which are efficient to work with and have been very successful for physics and mathematics applications.

TENSOR NETWORKS

Supervised Learning with Quantum-Inspired Tensor Networks

18 May 2016emstoudenmire/TNML

Tensor networks are efficient representations of high-dimensional tensors which have been very successful for physics and mathematics applications.

TENSOR NETWORKS

Can recursive neural tensor networks learn logical reasoning?

21 Dec 2013sleepinyourhat/vector-entailment

Recursive neural network models and their accompanying vector representations for words have seen success in an array of increasingly semantically sophisticated tasks, but almost nothing is known about their ability to accurately capture the aspects of linguistic meaning that are necessary for interpretation or reasoning.

TENSOR NETWORKS

Logic Tensor Networks

25 Dec 2020logictensornetworks/logictensornetworks

In this paper, we present Logic Tensor Networks (LTN), a neurosymbolic formalism and computational model that supports learning and reasoning through the introduction of a many-valued, end-to-end differentiable first-order logic called Real Logic as a representation language for deep learning.

MULTI-LABEL CLASSIFICATION RELATIONAL REASONING TENSOR NETWORKS

Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation

1 Oct 2019logictensornetworks/logictensornetworks

This requires the detection of visual relationships: triples (subject, relation, object) describing a semantic relation between a subject and an object.

RELATIONAL REASONING TENSOR NETWORKS VISUAL RELATIONSHIP DETECTION ZERO-SHOT LEARNING

Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge

14 Jun 2016logictensornetworks/logictensornetworks

We propose Logic Tensor Networks: a uniform framework for integrating automatic learning and reasoning.

TENSOR NETWORKS