Raghav Somani

1. SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
   2021/04/22 by Jonathan Hayase, Hayase, Jonathan, Weihao Kong +5 · 14 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
2. Soft Threshold Weight Reparameterization for Learnable Sparsity
   2020/02/08 by Aditya Kusupati, Kusupati, Aditya, Vivek Ramanujan +11 · 13 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Robust Meta-learning for Mixed Linear Regression with Small Batches
   2020/06/17 by Weihao Kong, Kong, Weihao, Raghav Somani +5 · 3 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM
4. Path convergence of Markov chains on large graphs
   2023/08/18 by Siva Athreya, Soumik Pal, Athreya, Siva +5 · 2 citations
   Computer Science · Mathematics · Medicine · #05C80 #60K35 #65C05 #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Topological and Geometric Data Analysis
5. Non-Gaussianity of Stochastic Gradient Noise
   2019/10/21 by Abhishek Panigrahi, Panigrahi, Abhishek, Raghav Somani +5 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques