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Published Date

Tool

Synthesized Collective Communication Library (SCCL)

The Synthesized Collective Communication Library is a tool for synthesizing collective algorithms tailored to a particular hardware topology. This project creates high-performance collective communication algorithms for the uncommon interconnect topologies connecting AI accelerators inside servers.…

GitHub

Publication

Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference

Shumao Zhang, Pengchuan Zhang, Thomas Hou

2021 International Conference on Machine Learning | May 2021

Publication

Taking Notes on the Fly Helps Language Pre-Training

Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu

2021 International Conference on Learning Representations | May 2021

Publication

Initialization and Regularization of Factorized Neural Layers

Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi

2021 International Conference on Learning Representations | May 2021

Github Project Project

Publication

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Harsha Simhadri, Ravishankar Krishnaswamy

May 2021

Publication

Privacy-preserving decentralized aggregation for federated learning

Beomyeol Jeon, SM Ferdous, Muntasir Raihan Rahman, Anwar Walid

IEEE INFOCOM 2021 – IEEE Conference on Computer Communications Workshops (INFOCOM WORKSHOPS) | May 2021

Event

Race and Technology: A Research Lecture Series

May 1, 2021 – June 30, 2022 | Virtual

You’re invited to join us as we bring together leading voices at the intersection of race and technology for discussions around data, the internet, justice, genomics and more. In this virtual speaker series, connect with the distinguished academics and domain experts who are driving this…

Race & Technology, A Research Lecture Series

Publication

A Reinforcement-Learning-based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

IEEE Transactions on Multimedia | April 2021

Tool

distPURL

An SDK that provides the tools necessary to improve ranking by combining distance embeddings using integer linear programming (ILP; https://arxiv.org/abs/2005.10700 (opens in new tab)). This results in a more accurate optimized ranking of nodes relative…

GitHub

Video

Knowledge Distillation as Semiparametric Inference [Talk]

April 28, 2021 | Lester Mackey

More accurate machine learning models often demand more computation and memory at test time, making them difficult to deploy on CPU- or memory-constrained devices. Knowledge distillation alleviates this burden by training a less expensive student…

50:40