de Sa, Virginia R.

15 publications

NeurIPS 2023 Adaptive Recurrent Vision Performs Zero-Shot Computation Scaling to Unseen Difficulty Levels Vijay Veerabadran, Srinivas Ravishankar, Yuan Tang, Ritik Raina, Virginia R. de Sa

NeurIPSW 2022 Exploring Biases in Facial Expression Analysis Using Synthetic Faces Ritik Raina, Miguel Monares, Mingze Xu, Sarah Fabi, Xiaojing Xu, Lehan Li, Will Sumerfield, Jin Gan, Virginia R. de Sa

NeurIPSW 2021 Bio-Inspired Learnable Divisive Normalization for ANNs Vijay Veerabadran, Ritik Raina, Virginia R. de Sa

NeurIPSW 2021 Improving Robustness in Motor Imagery Brain-Computer Interfaces Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia R. de Sa

IJCAI 2018 Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning Xiaojing Xu, Kenneth Craig, Damaris Diaz, Matthew S. Goodwin, Murat Akçakaya, Busra Susam, Jeannie Huang, Virginia R. de Sa

IJCAI 2018 Automated Pain Detection in Facial Videos of Children Using Human-Assisted Transfer Learning Xiaojing Xu, Kenneth D. Craig, Damaris Diaz, Matthew S. Goodwin, Murat Akçakaya, Büsra Tugçe Susam, Jeannie S. Huang, Virginia R. de Sa

IJCAI 2018 Towards Automated Pain Detection in Children Using Facial and Electrodermal Activity Xiaojing Xu, Busra Susam, Hooman Nezamfar, Kenneth Craig, Damaris Diaz, Jeannie Huang, Matthew S. Goodwin, Murat Akçakaya, Virginia R. de Sa

IJCAI 2018 Towards Automated Pain Detection in Children Using Facial and Electrodermal Activity Xiaojing Xu, Büsra Tugçe Susam, Hooman Nezamfar, Damaris Diaz, Kenneth D. Craig, Matthew S. Goodwin, Murat Akçakaya, Jeannie S. Huang, Virginia R. de Sa

MLOSS 2013 Divvy: Fast and Intuitive Exploratory Data Analysis Joshua M. Lewis, Virginia R. de Sa, Laurens van der Maaten

MLJ 2010 Multi-View Kernel Construction Virginia R. de Sa, Patrick W. Gallagher, Joshua M. Lewis, Vicente L. Malave

NeCo 1998 Category Learning Through Multi-Modality Sensing Virginia R. de Sa, Dana H. Ballard

NeurIPS 1997 Using Helmholtz Machines to Analyze Multi-Channel Neuronal Recordings Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich

NeurIPS 1996 Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs Rich Caruana, Virginia R. de Sa

NeurIPS 1993 Learning Classification with Unlabeled Data Virginia R. de Sa

NeurIPS 1992 A Note on Learning Vector Quantization Virginia R. de Sa, Dana H. Ballard