Boris Knyazev

According to our database, Boris Knyazev authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accelerating Training with Neuron Interaction and Nowcasting Networks.

Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien

CoRR, 2024

Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees.

Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang

CoRR, 2024

μLO: Compute-Efficient Meta-Generalization of Learned Optimizers.

Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky

CoRR, 2024

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters.

Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu

CoRR, 2024

Graph Neural Networks for Learning Equivariant Representations of Neural Networks.

Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Can We Learn Communication-Efficient Optimizers?

Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky

CoRR, 2023

Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?

Boris Knyazev, Doha Hwang, Simon Lacoste-Julien

Proceedings of the International Conference on Machine Learning, 2023

2022

Pretraining a Neural Network before Knowing Its Architecture.

Boris Knyazev

CoRR, 2022

On Evaluation Metrics for Graph Generative Models.

Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Parameter Prediction for Unseen Deep Architectures.

Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning.

Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Context-aware Scene Graph Generation with Seq2Seq Transformers.

Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guang Wei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Compositional Augmentations for Scene Graph Prediction.

Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Generative Graph Perturbations for Scene Graph Prediction.

Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky

CoRR, 2020

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation.

Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions.

Boris Knyazev, Carolyn Augusta, Graham W. Taylor

CoRR, 2019

Understanding attention in graph neural networks.

Boris Knyazev, Graham W. Taylor, Mohamed R. Amer

CoRR, 2019

Understanding Attention and Generalization in Graph Neural Networks.

Boris Knyazev, Graham W. Taylor, Mohamed R. Amer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Image Classification with Hierarchical Multigraph Networks.

Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules.

Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor

CoRR, 2018

Dominant and Complementary Emotion Recognition From Still Images of Faces.

Jianzhu Guo, Zhen Lei, Jun Wan, Egils Avots, Noushin Hajarolasvadi, Boris Knyazev, Artem Kuharenko, Júlio Cezar Silveira Jacques Júnior, Xavier Baró, Hasan Demirel, Sergio Escalera, Juri Allik, Gholamreza Anbarjafari

IEEE Access, 2018

Leveraging Large Face Recognition Data for Emotion Classification.

Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017

Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video.

Boris Knyazev, Roman Shvetsov, Natalia Efremova, Artem Kuharenko

CoRR, 2017

Recursive autoconvolution for unsupervised learning of convolutional neural networks.

Boris Knyazev, Erhardt Barth, Thomas Martinetz

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Autoconvolution for Unsupervised Feature Learning.

Boris Knyazev, Erhardt Barth, Thomas Martinetz

CoRR, 2016

2013

Human nonverbal behavior multi-sourced ontological annotation.

Boris Knyazev

Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications, 2013