Venkatesh Saligrama

Most-cited papers

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
T. Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama +1 more
2016Neural Information Processing Systems3,953 citations
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Federated Learning Based on Dynamic Regularization
D. A. E. Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina +2 more
2021International Conference on Learning Representations1,297 citations
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Adaptive Neural Networks for Efficient Inference
T. Bolukbasi, Joseph Wang, O. Dekel, Venkatesh Saligrama
2017International Conference on Machine Learning448 citations
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Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement
H. Gritton, W. Howe, Michael F. Romano, A. Difeliceantonio +5 more
2019Nature Neuroscience120 citations Open access
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Zero Shot Detection
Pengkai Zhu, Hanxiao Wang, T. Bolukbasi, Venkatesh Saligrama
2018IEEE transactions on circuits and systems for video technology (Print)108 citations Open access
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Don’t Even Look Once: Synthesizing Features for Zero-Shot Detection
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019Computer Vision and Pattern Recognition103 citations Open access
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Zero-Shot Recognition via Structured Prediction
Zi-Ming Zhang, Venkatesh Saligrama
2016European Conference on Computer Vision99 citations
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Generalized Zero-Shot Recognition Based on Visually Semantic Embedding
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2018Computer Vision and Pattern Recognition89 citations Open access
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Debiasing Model Updates for Improving Personalized Federated Training
D. A. E. Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro +3 more
2021International Conference on Machine Learning81 citations
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Pruning Random Forests for Prediction on a Budget
Feng Nan, Joseph Wang, Venkatesh Saligrama
2016Neural Information Processing Systems75 citations
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Adaptive Classification for Prediction Under a Budget
Feng Nan, Venkatesh Saligrama
2017Neural Information Processing Systems67 citations
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Quantifying and Reducing Stereotypes in Word Embeddings
T. Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama +1 more
2016arXiv.org65 citations
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Selective Classification via One-Sided Prediction
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
2020International Conference on Artificial Intelligence and Statistics61 citations
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Adaptive Neural Networks for Fast Test-Time Prediction
T. Bolukbasi, Joseph Wang, O. Dekel, Venkatesh Saligrama
2017arXiv.org58 citations
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RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?
Anil Kag, Zi-Ming Zhang, Venkatesh Saligrama
2019International Conference on Learning Representations52 citations
Semantic Scholar
Training Recurrent Neural Networks via Forward Propagation Through Time
Anil Kag, Venkatesh Saligrama
2021International Conference on Machine Learning51 citations
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Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, C. Chen +4 more
2021Computer Vision and Pattern Recognition47 citations Open access
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How Transferable are Video Representations Based on Synthetic Data?
Youwang Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne +6 more
2022Neural Information Processing Systems43 citations
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Remember the curse of dimensionality: the case of goodness-of-fit testing in arbitrary dimension
E. Arias-Castro, Bruno Pelletier, Venkatesh Saligrama
201638 citations Open access
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Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices
Don Kurian Dennis, D. A. E. Acar, Vikram Mandikal, Vinu Sankar Sadasivan +3 more
2019Neural Information Processing Systems35 citations
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Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency
Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021British Machine Vision Conference31 citations Open access
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Efficient Edge Inference by Selective Query
Anil Kag, Igor Z. Fedorov, Aditya Gangrade, P. Whatmough +1 more
2023International Conference on Learning Representations30 citations
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Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma
P. Staziaki, Di Wu, Jesse C Rayan, I. D. Santo +7 more
2021European Radiology28 citations
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Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
Yao Ma, A. Olshevsky, Csaba Szepesvari, Venkatesh Saligrama
2018International Conference on Machine Learning28 citations
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Piecewise Linear Regression via a Difference of Convex Functions
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
2020International Conference on Machine Learning22 citations
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Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
2022International Conference on Machine Learning21 citations Open access
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Bandit Quickest Changepoint Detection
Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
2021Neural Information Processing Systems20 citations
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Memory Efficient Online Meta Learning
D. A. E. Acar, Ruizhao Zhu, Venkatesh Saligrama
2021International Conference on Machine Learning20 citations
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Time Adaptive Recurrent Neural Network
Anil Kag, Venkatesh Saligrama
2021Computer Vision and Pattern Recognition19 citations
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Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
J. Hendrickx, A. Olshevsky, Venkatesh Saligrama
2020International Conference on Machine Learning19 citations
Semantic Scholar
Learning to Approximate a Bregman Divergence
Ali Siahkamari, Xide Xia, Venkatesh Saligrama, D. Castañón +1 more
2020Neural Information Processing Systems19 citations
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Clustering and Community Detection With Imbalanced Clusters
Cem Aksoylar, Jing Qian, Venkatesh Saligrama
2016IEEE Transactions on Signal and Information Processing over Networks18 citations Open access
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On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems
A. Somekh-Baruch, Amir Leshem, Venkatesh Saligrama
2016IEEE Transactions on Information Theory18 citations Open access
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Safe Linear Bandits over Unknown Polytopes
Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama
2022Annual Conference Computational Learning Theory17 citations
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Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs
Yuting Chen, Joseph Wang, Yannan Bai, Greg Castañón +1 more
2017IEEE transactions on multimedia16 citations Open access
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Learning to Drive Anywhere
Ruizhao Zhu, Peng-Hui Huang, Eshed Ohn-Bar, Venkatesh Saligrama
2023Conference on Robot Learning15 citations Open access
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Mild Blast Injury Produces Acute Changes in Basal Intracellular Calcium Levels and Activity Patterns in Mouse Hippocampal Neurons
Kyle R. Hansen, Gloria J DeWalt, Ali I. Mohammed, Hua-an Tseng +6 more
2018Journal of Neurotrauma15 citations Open access
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Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in “Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations”
Feng Nan, Venkatesh Saligrama
2017IEEE Transactions on Information Theory15 citations
Semantic Scholar
Energy-Efficient Adaptive Classifier Design for Mobile Systems
Zafar Takhirov, Joseph Wang, Venkatesh Saligrama, Ajay M. Joshi
2016International Symposium on Low Power Electronics and Design15 citations
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Graph Resistance and Learning from Pairwise Comparisons
J. Hendrickx, A. Olshevsky, Venkatesh Saligrama
2019International Conference on Machine Learning14 citations
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Online Selective Classification with Limited Feedback
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
2021Neural Information Processing Systems13 citations
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Shallow RNNs: A Method for Accurate Time-series Classiﬁcation on Tiny Devices
Don Kurian Dennis, D. A. E. Acar, Vikram Mandikal, Vinu Sankar Sadasivan +3 more
201913 citations
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Connected Subgraph Detection with Mirror Descent on SDPs
Cem Aksoylar, L. Orecchia, Venkatesh Saligrama
2017International Conference on Machine Learning13 citations
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Effectively Leveraging Attributes for Visual Similarity
Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar +2 more
2021IEEE International Conference on Computer Vision12 citations Open access
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Online Algorithm for Unsupervised Sensor Selection
Arun Verma, M. Hanawal, Csaba Szepesvari, Venkatesh Saligrama
2019International Conference on Artificial Intelligence and Statistics12 citations
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Cost aware Inference for IoT Devices
Pengkai Zhu, D. A. E. Acar, Nan Feng, Prateek Jain +1 more
2019International Conference on Artificial Intelligence and Statistics11 citations
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Unsupervised Sequential Sensor Acquisition
M. Hanawal, Csaba Szepesvari, Venkatesh Saligrama
2017International Conference on Artificial Intelligence and Statistics11 citations
Semantic Scholar
Budget Learning via Bracketing
Aditya Gangrade, D. A. E. Acar, Venkatesh Saligrama
2020International Conference on Artificial Intelligence and Statistics10 citations
Semantic Scholar
Learning Classifiers for Target Domain with Limited or No Labels
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019International Conference on Machine Learning10 citations
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Resource Constrained Structured Prediction
T. Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2016AAAI Conference on Artificial Intelligence9 citations Open access
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