Alert button
Picture for Roland Fernandez

Roland Fernandez

Alert button

Implicit Chain of Thought Reasoning via Knowledge Distillation

Nov 02, 2023
Yuntian Deng, Kiran Prasad, Roland Fernandez, Paul Smolensky, Vishrav Chaudhary, Stuart Shieber

Viaarxiv icon

Differentiable Tree Operations Promote Compositional Generalization

Jun 01, 2023
Paul Soulos, Edward Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao

Figure 1 for Differentiable Tree Operations Promote Compositional Generalization
Figure 2 for Differentiable Tree Operations Promote Compositional Generalization
Figure 3 for Differentiable Tree Operations Promote Compositional Generalization
Figure 4 for Differentiable Tree Operations Promote Compositional Generalization
Viaarxiv icon

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages

Aug 11, 2022
Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky

Figure 1 for Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages
Figure 2 for Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages
Figure 3 for Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages
Figure 4 for Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages
Viaarxiv icon

Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems

May 02, 2022
Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao

Figure 1 for Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
Figure 2 for Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
Figure 3 for Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
Figure 4 for Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
Viaarxiv icon

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization

Jun 02, 2021
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao

Figure 1 for Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
Figure 2 for Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
Figure 3 for Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
Figure 4 for Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
Viaarxiv icon

Compositional Processing Emerges in Neural Networks Solving Math Problems

May 19, 2021
Jacob Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao

Figure 1 for Compositional Processing Emerges in Neural Networks Solving Math Problems
Figure 2 for Compositional Processing Emerges in Neural Networks Solving Math Problems
Figure 3 for Compositional Processing Emerges in Neural Networks Solving Math Problems
Viaarxiv icon

Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language

Nov 18, 2020
Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang

Figure 1 for Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
Figure 2 for Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
Figure 3 for Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
Figure 4 for Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language
Viaarxiv icon

A System for Real-Time Interactive Analysis of Deep Learning Training

Jan 07, 2020
Shital Shah, Roland Fernandez, Steven Drucker

Figure 1 for A System for Real-Time Interactive Analysis of Deep Learning Training
Figure 2 for A System for Real-Time Interactive Analysis of Deep Learning Training
Viaarxiv icon

Working Memory Graphs

Nov 17, 2019
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht

Figure 1 for Working Memory Graphs
Figure 2 for Working Memory Graphs
Figure 3 for Working Memory Graphs
Figure 4 for Working Memory Graphs
Viaarxiv icon

Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving

Oct 15, 2019
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao

Figure 1 for Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Figure 2 for Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Figure 3 for Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Figure 4 for Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving
Viaarxiv icon