Publications (27)
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic, Badal Singh, Anima Anandkumar
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli +1
TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar +1
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson, Anima Anandkumar
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
Anima Anandkumar, Rong Ge, Majid Janzamin
Learning From Noisy Singly-labeled Data
Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen, Aran Khanna, Anima Anandkumar
Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods
Anima Anandkumar, Hanie Sedghi
Training Input-Output Recurrent Neural Networks through Spectral Methods
Hanie Sedghi, Anima Anandkumar
Tensor Contraction Layers for Parsimonious Deep Nets
Jean Kossaifi, Aran Khanna, Zachary C. Lipton +2
A Tensor Approach to Learning Mixed Membership Community Models
Anima Anandkumar, Rong Ge, Daniel Hsu +1
Compact Tensor Pooling for Visual Question Answering
Yang Shi, Tommaso Furlanello, Anima Anandkumar
Active Learning with Partial Feedback
Peiyun Hu, Zachary C. Lipton, Anima Anandkumar +1
Score Function Features for Discriminative Learning: Matrix and Tensor Framework
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
signSGD with Majority Vote is Communication Efficient And Fault Tolerant
Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli +1
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton +4
Homotopy Analysis for Tensor PCA
Anima Anandkumar, Yuan Deng, Rong Ge +1
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
Hanie Sedghi, Majid Janzamin, Anima Anandkumar
Out-of-Distribution Detection Using Neural Rendering Generative Models
Yujia Huang, Sihui Dai, Tan Nguyen +2
Efficient approaches for escaping higher order saddle points in non-convex optimization
Anima Anandkumar, Rong Ge
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Noisy Matrix Decomposition
Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Stochastic Linear Bandits with Hidden Low Rank Structure
Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar +1
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks
Eric Nalisnick, Anima Anandkumar, Padhraic Smyth
Score Function Features for Discriminative Learning
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models
Tejaswi Nimmagadda, Anima Anandkumar
Provable Methods for Training Neural Networks with Sparse Connectivity
Hanie Sedghi, Anima Anandkumar