James Lucas

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 39

Top Topics

Linear Interpolation

Object Detection

Top Venues

Publications

Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah
Improving Hyperparameter Optimization with Checkpointed Model Weights. CoRR (2024)
Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR (2024)
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas
Graph Metanetworks for Processing Diverse Neural Architectures. ICLR (2024)
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR (2024)
Marc T. Law, James Lucas
Spacetime Representation Learning. ICLR (2023)
Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023)
Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR (2023)
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas
Graph Metanetworks for Processing Diverse Neural Architectures. CoRR (2023)
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
ATT3D: Amortized Text-to-3D Object Synthesis. CoRR (2023)
Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas
ATT3D: Amortized Text-to-3D Object Synthesis. ICCV (2023)
Hassan Abu Alhaija, James Lucas, Alexander Zook, Michael Babcock, David Tyner, Rajeev Rao, Maria Shugrina
Interactive AI Material Generation and Editing in NVIDIA Omniverse. SIGGRAPH Real Time Live! (2023)
Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law
Optimizing Data Collection for Machine Learning. CoRR (2022)
A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran
The Calibration Generalization Gap. CoRR (2022)
Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law
Optimizing Data Collection for Machine Learning. NeurIPS (2022)
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR (2022)
Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR (2022)
Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR (2022)
Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler
Causal BERT: Improving object detection by searching for challenging groups. ICCVW (2021)
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes. CoRR (2021)
James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse
On Monotonic Linear Interpolation of Neural Network Parameters. ICML (2021)
James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel
Theoretical bounds on estimation error for meta-learning. ICLR (2021)
Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse
Regularized linear autoencoders recover the principal components, eventually. CoRR (2020)
James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard S. Zemel
Theoretical bounds on estimation error for meta-learning. CoRR (2020)
Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse
Regularized linear autoencoders recover the principal components, eventually. NeurIPS (2020)
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
Flexible Few-Shot Learning with Contextual Similarity. CoRR (2020)
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. NeurIPS (2019)
James Lucas, Shengyang Sun, Richard S. Zemel, Roger B. Grosse
Aggregated Momentum: Stability Through Passive Damping. ICLR (Poster) (2019)
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. NeurIPS (2019)
Michael R. Zhang, James Lucas, Geoffrey E. Hinton, Jimmy Ba
Lookahead Optimizer: k steps forward, 1 step back. CoRR (2019)
Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. CoRR (2019)
Michael R. Zhang, James Lucas, Jimmy Ba, Geoffrey E. Hinton
Lookahead Optimizer: k steps forward, 1 step back. NeurIPS (2019)
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
Understanding Posterior Collapse in Generative Latent Variable Models. DGS@ICLR (2019)
Cem Anil, James Lucas, Roger B. Grosse
Sorting Out Lipschitz Function Approximation. ICML (2019)
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. CoRR (2019)
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
Adversarial Distillation of Bayesian Neural Network Posteriors. ICML (2018)
Emma Pollard, Darwin Davis, Erwin Saniga, James Lucas
A linear-time method for computing the ANOS of Bernoulli and Poisson CUSUM charts. Qual. Reliab. Eng. Int. 34 (5) (2018)
James Lucas, Richard S. Zemel, Roger B. Grosse
Aggregated Momentum: Stability Through Passive Damping. CoRR (2018)
Cem Anil, James Lucas, Roger B. Grosse
Sorting out Lipschitz function approximation. CoRR (2018)
Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel
Adversarial Distillation of Bayesian Neural Network Posteriors. CoRR (2018)
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
Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors. SAMOS (2008)
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, A. Al-Shamma'a, Edoardo Merlone-Borla, P. Faraldi, M. Pidria
Measuring of exhaust gas emissions using absorption spectroscopy. Int. J. Intell. Syst. Technol. Appl. 3 (1/2) (2007)