Search Results for author:
Found 9 papers, 1 papers with code
Implementation of the Multichannel Filtered Reference Least Mean Square (McFxLMS) Algorithm with an Arbitrary Number of Channels by Using MATLAB
Multichannel filtered reference least mean square (McFxLMS) algorithms are widely utilized in adaptive multichannel active noise control (MCANC) applications.
The ART of Transfer Learning: An Adaptive and Robust Pipeline
Transfer learning is an essential tool for improving the performance of primary tasks by leveraging information from auxiliary data resources.
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
The success of Transformer models has pushed the deep learning model scale to billions of parameters.
Tesseract: Parallelize the Tensor Parallelism Efficiently
It increases efficiency by reducing communication overhead and lowers the memory required for each GPU.
Maximizing Parallelism in Distributed Training for Huge Neural Networks
Our work is the first to introduce a 3-dimensional model parallelism for expediting huge language models.
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning
We propose Partially Interpretable Estimators (PIE) which attribute a prediction to individual features via an interpretable model, while a (possibly) small part of the PIE prediction is attributed to the interaction of features via a black-box model, with the goal to boost the predictive performance while maintaining interpretability.
Sparse Tensor Additive Regression
Tensors are becoming prevalent in modern applications such as medical imaging and digital marketing.
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS
We propose a novel efficient algorithm for solving DWD, and our algorithm can be several hundred times faster than the existing state-of-the-art algorithm based on the SOCP.
Sparse Distance Weighted Discrimination
Distance weighted discrimination (DWD) was originally proposed to handle the data piling issue in the support vector machine.
