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2021-06
Stochastic Polyak Stepsize with a Moving Target.
Federated Learning with Buffered Asynchronous Aggregation.
2021-05
A Closer Look at Codistillation for Distributed Training
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations
2021-04
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples.
2021-03
Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
2021-01
Learning with Gradient Descent and Weakly Convex Losses.
Asynchronous Gradient Push
2020-12
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Magnetic Resonance in Medicine
(2020-12-01)
nyuscholars.nyu.eduPDF[Also on arXiv preprint arXiv:2001.02518 (2020-01-06)]2020-11
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
2020-10
Optimization for Data-Driven Learning and Control
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.
Advances in Asynchronous Parallel and Distributed Optimization
2020-07
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
2020-06
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations.
2020-05
Lookahead Converges to Stationary Points of Smooth Non-convex Functions
2020-04
2020-03
Asynchronous Gradient-Push
2020-01
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
2019-10
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
2019-06
Stochastic Gradient Push for Distributed Deep Learning
Improved Bounds for Max Consensus in Wireless Networks
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
2019-05
Provably Accelerated Randomized Gossip Algorithms
Learning Graphs From Data: A Signal Representation Perspective
2019-01
Graph-Based Compression for Distributed Particle Filters
Uncertainty Principle on Graphs
2018-12
Effectiveness of Alter Sampling in Social Networks.
2018-11
A Graph-CNN for 3D Point Cloud Classification
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
2018-09
TarMAC: Targeted Multi-Agent Communication
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