Nam Le

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 30

Top Topics

Learning Strategies

Face Representation

Top Venues

EvoApplications

Publications

Hoang Nguyen, Nam Le, Khang Tran, Ngoc Hoang Luong
Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem. SoICT (2023)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu
Image Coding For Machines: an End-To-End Learned Approach. ICASSP (2021)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
Learned Image Coding for Machines: A Content-Adaptive Approach. CoRR (2021)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Hamed Rezazadegan Tavakoli, Esa Rahtu
Learned Image Coding for Machines: A Content-Adaptive Approach. ICME (2021)
Joni Seppälä, Honglei Zhang, Nam Le, Ramin Ghaznavi Youvalari, Francesco Cricri, Hamed Rezazadegan Tavakoli, Emre Aksu, Miska M. Hannuksela, Esa Rahtu
Enhancing Image Coding for Machines with Compressed Feature Residuals. ISM (2021)
Jukka I. Ahonen, Ramin Ghaznavi Youvalari, Nam Le, Honglei Zhang, Francesco Cricri, Hamed Rezazadegan Tavakoli, Miska M. Hannuksela, Esa Rahtu
Learned Enhancement Filters for Image Coding for Machines. ISM (2021)
Nam Le, Honglei Zhang, Francesco Cricri, Ramin Ghaznavi Youvalari, Esa Rahtu
Image coding for machines: an end-to-end learned approach. CoRR (2021)
Nam Le, Anthony Brabazon, Michael O'Neill
Social Learning vs Self-teaching in a Multi-agent Neural Network System. EvoApplications (2020)
Nam Le, Michael O'Neill, Anthony Brabazon
Evolutionary consequences of learning strategies in a dynamic rugged landscape. GECCO (2019)
Nam Le
Evolving Self-taught Neural Networks: The Baldwin Effect and the Emergence of Intelligence. CoRR (2019)
Nam Le
Evolution and self-teaching in neural networks: another comparison when the agent is more primitively conscious. GECCO (Companion) (2019)
Nam Le, Anthony Brabazon, Michael O'Neill
The Evolution of Self-taught Neural Networks in a Multi-agent Environment. EvoApplications (2019)
Nam Le, Michael O'Neill, Anthony Brabazon
How Learning Strategies Can Promote an Evolving Population in Dynamic Environments. CEC (2019)
Nam Le, Jean-Marc Odobez
Improving speech embedding using crossmodal transfer learning with audio-visual data. Multim. Tools Appl. 78 (11) (2019)
Nam Le
Evolving Self-supervised Neural Networks: Autonomous Intelligence from Evolved Self-teaching. CoRR (2019)
Nam Le
Baldwin Effect Revisited. ALIFE (2019)
Nam Le, Anthony Brabazon, Michael O'Neill
How the "Baldwin Effect" Can Guide Evolution in Dynamic Environments. TPNC (2018)
Nam Le, Jean-Marc Odobez
Theoretical Guarantees of Deep Embedding Losses Under Label Noise. CoRR (2018)
Nam Le, Michael O'Neill, Anthony Brabazon
Adaptive Advantage of Learning Strategies: A Study Through Dynamic Landscape. PPSN (2) (2018)
Nam Le, Michael O'Neill, Anthony Brabazon
The Baldwin Effect Reconsidered Through the Prism of Social Learning. CEC (2018)
Nam Le, Jean-Marc Odobez
Robust and Discriminative Speaker Embedding via Intra-Class Distance Variance Regularization. INTERSPEECH (2018)
Nam Le, Jean-Marc Odobez
A domain adaptation approach to improve speaker turn embedding using face representation. ICMI (2017)
Nam Le, Hervé Bredin, Gabriel Sargent, Miquel India, Paula Lopez-Otero, Claude Barras, Camille Guinaudeau, Guillaume Gravier, Gabriel Barbosa da Fonseca, Izabela Lyon Freire, Zenilton K. G. Patrocínio Jr., Silvio Jamil Ferzoli Guimarães, Gerard Martí, Josep Ramon Morros, Javier Hernando, Laura Docío Fernández, Carmen García-Mateo, Sylvain Meignier, Jean-Marc Odobez
Towards large scale multimedia indexing: A case study on person discovery in broadcast news. CBMI (2017)
Nam Le, Michael O'Neill, David Fagan, Anthony Brabazon
Social Grammatical Evolution with imitation learning for real-valued function estimation. CEC (2017)
Nam Le, Jean-Marc Odobez
Improving speaker turn embedding by crossmodal transfer learning from face embedding. CoRR (2017)
Nam Le, Jean-Marc Odobez
Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding. ICCV Workshops (2017)
Nam Le, Alexandre Heili, Jean-Marc Odobez
Long-Term Time-Sensitive Costs for CRF-Based Tracking by Detection. ECCV Workshops (2) (2016)
Nam Le, Hoai Nguyen Xuan, Anthony Brabazon, Thuong Pham Thi
Complexity measures in Genetic Programming learning: A brief review. CEC (2016)
Nam Le, Alexandre Heili, Di Wu, Jean-Marc Odobez
Temporally subsampled detection for accurate and efficient face tracking and diarization. ICPR (2016)
Jens Grivolla, Yannick Estève, Eelco Herder, Nam Le, Kay Macquarrie, Raúl Marín, Sylvain Meignier, Maite Melero, Jean-Marc Odobez, Susanne Preuß
The EUMSSI Project - Event Understanding through Multimodal Social Stream Interpretation. MMDA@ECAI (2016)