James Lucas

50 papers A* 15Journal 27Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimizing Data Collection for Machine Learning.
J. Mach. Learn. Res.
Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law
2025 J jnl
Replay Can Provably Increase Forgetting.
CoRR
Yasaman Mahdaviyeh, James Lucas, Mengye Ren, Andreas S. Tolias, Richard S. Zemel, Toniann Pitassi
2024 A* conf
Graph Metanetworks for Processing Diverse Neural Architectures.
ICLR
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas
2024 — conf
Improving Hyperparameter Optimization with Checkpointed Model Weights.
ECCV Workshops (11)
Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah
2024 J jnl
Improving Hyperparameter Optimization with Checkpointed Model Weights.
CoRR
Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah
2024 — conf
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.
ECCV (77)
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
2024 J jnl
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.
CoRR
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
2024 J jnl
Multi-student Diffusion Distillation for Better One-step Generators.
CoRR
Yanke Song, Jonathan Lorraine, Weili Nie, Karsten Kreis, James Lucas
2024 A* conf
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes.
SIGGRAPH Asia
Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp
2024 J jnl
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes.
CoRR
Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp
2024 A* conf
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets.
ICLR
Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler
2024 J jnl
Uncertainty Estimation for 3D Object Detection via Evidential Learning.
CoRR
Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez
2023 A* conf
ATT3D: Amortized Text-to-3D Object Synthesis.
ICCV
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
2023 J jnl
ATT3D: Amortized Text-to-3D Object Synthesis.
CoRR
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
2023 J jnl
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.
CoRR
Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas
2023 J jnl
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting.
Trans. Mach. Learn. Res.
Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas
2023 J jnl
Graph Metanetworks for Processing Diverse Neural Architectures.
CoRR
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas
2023 — conf
Interactive AI Material Generation and Editing in NVIDIA Omniverse.
SIGGRAPH Real Time Live!
Hassan Abu Alhaija, James Lucas, Alexander Zook, Michael Babcock, David Tyner, Rajeev Rao, Maria Shugrina
2023 A* conf
Spacetime Representation Learning.
ICLR
Marc T. Law, James Lucas
2022 J jnl
Causal Scene BERT: Improving object detection by searching for challenging groups of data.
CoRR
Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
2022 A* conf
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.
CVPR
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022 J jnl
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks.
CoRR
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022 — —
Optimization and Loss Landscape Geometry of Deep Learning
James Lucas
2022 A* conf
Optimizing Data Collection for Machine Learning.
NeurIPS
Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law
2022 J jnl
Optimizing Data Collection for Machine Learning.
CoRR
Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law
2022 J jnl
The Calibration Generalization Gap.
CoRR
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran
2021 J jnl
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes.
CoRR
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse
2021 — conf
Causal BERT: Improving object detection by searching for challenging groups.
ICCVW
Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
2021 A* conf
On Monotonic Linear Interpolation of Neural Network Parameters.
ICML
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse
2021 A* conf
Theoretical bounds on estimation error for meta-learning.
ICLR
James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel
2020 J jnl
Flexible Few-Shot Learning with Contextual Similarity.
CoRR
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
2020 A* conf
Regularized linear autoencoders recover the principal components, eventually.
NeurIPS
Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse
2020 J jnl
Regularized linear autoencoders recover the principal components, eventually.
CoRR
Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse
2020 J jnl
Theoretical bounds on estimation error for meta-learning.
CoRR
James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard S. Zemel
2019 — conf
Aggregated Momentum: Stability Through Passive Damping.
ICLR (Poster)
James Lucas, Shengyang Sun, Richard S. Zemel, Roger B. Grosse
2019 A* conf
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse.
NeurIPS
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
2019 J jnl
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse.
CoRR
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
2019 A* conf
Lookahead Optimizer: k steps forward, 1 step back.
NeurIPS
Michael R. Zhang, James Lucas, Jimmy Ba, Geoffrey E. Hinton
2019 J jnl
Lookahead Optimizer: k steps forward, 1 step back.
CoRR
Michael R. Zhang, James Lucas, Geoffrey E. Hinton, Jimmy Ba
2019 A* conf
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.
NeurIPS
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
2019 J jnl
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.
CoRR
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
2019 A* conf
Sorting Out Lipschitz Function Approximation.
ICML
Cem Anil, James Lucas, Roger B. Grosse
2019 — conf
Understanding Posterior Collapse in Generative Latent Variable Models.
DGS@ICLR
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
2018 J jnl
A linear-time method for computing the ANOS of Bernoulli and Poisson CUSUM charts.
Qual. Reliab. Eng. Int.
Emma Pollard, Darwin Davis, Erwin Saniga, James Lucas
2018 A* conf
Adversarial Distillation of Bayesian Neural Network Posteriors.
ICML
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
2018 J jnl
Adversarial Distillation of Bayesian Neural Network Posteriors.
CoRR
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
2018 J jnl
Aggregated Momentum: Stability Through Passive Damping.
CoRR
James Lucas, Richard S. Zemel, Roger B. Grosse
2018 J jnl
Sorting out Lipschitz function approximation.
CoRR
Cem Anil, James Lucas, Roger B. Grosse
2008 — conf
Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors.
SAMOS
Elfed Lewis, John Clifford, Colin Fitzpatrick, Gerard Dooly, Weizhong Zhao, Tong Sun, K. T. V. Grattan, James Lucas, Martin Degner, Hartmut Ewald, Steffen Lochmann, Gero Bramann, Edoardo Merlone-Borla, Flavio Gili
2007 J jnl
Measuring of exhaust gas emissions using absorption spectroscopy.
Int. J. Intell. Syst. Technol. Appl.
Eamonn Hawe, Gerard Dooly, Colin Fitzpatrick, Paul Chambers, Elfed Lewis, Weizhong Zhao, Tong Sun, K. T. V. Grattan, Martin Degner, Hartmut Ewald, Steffen Lochmann, G. Bramman, C. Wei, D. Hitchen, James Lucas, Ahmed Al-Shamma'a, Edoardo Merlone-Borla, P. Faraldi, M. Pidria