Search Results for author:
Found 5 papers, 3 papers with code
PaLM: Scaling Language Modeling with Pathways
To further our understanding of the impact of scale on few-shot learning, we trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model PaLM.
Ranked #1 on
Natural Language Inference
on CommitmentBank
Pathways: Asynchronous Distributed Dataflow for ML
We present the design of a new large scale orchestration layer for accelerators.
Sequential Routing Framework: Fully Capsule Network-based Speech Recognition
Input sequences are capsulized then sliced by a window size.
Scaling Video Analytics on Constrained Edge Nodes
As video camera deployments continue to grow, the need to process large volumes of real-time data strains wide area network infrastructure.
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning
The performance and efficiency of distributed machine learning (ML) depends significantly on how long it takes for nodes to exchange state changes.
