Building a Question Answering System Part 3: Answer Extraction

Building a Question Answering System Part 2: Document Retrieval

Introducing Tuun, an Open Source System for Hyperparameter Tuning via Uncertainty Modeling

Building a Q&A System Part 1: Query Understanding in 18 lines

Improving AI models through Automatic Data Augmentation using Tuun

Optimizing Elastic Deep Learning in GPU Clusters with AdaptDL for PyTorch

AdaptDL is now featured on the PyTorch ecosystem!

Forte: Building Modular and Re-purposable NLP Pipelines

We have integrated AdaptDL with NNI for cost-effective hyperparameter tuning

AdaptDL and AutoDist Tutorial (AAAI 2021)

Simplifying and Automating Parallel Machine Learning via a Programmable and Composable Parallel ML System

Texar and Forte Tutorial
(KDD 2020)

Learning from All Types of Experiences: A Unifying Machine Learning Perspective

Introducing Texar-PyTorch:

An ML Library Integrating the Best of TensorFlow into PyTorch

OSDI 2022

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

AAAI 2021

BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

AAAI 2020 Tutorial

Tutorial: Modularizing Natural Language Processing

Journal of Machine Learning Research (JMLR), 2020

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

NeurIPS 2020

A Study on Encodings for Neural Architecture Search

EMNLP 2020

A data-centric framework for composable NLP workflows

AAAI 2021

On Trustworthiness of ML Algorithms -- and implications in AI-driven healthcare

ASYML

Machine Learning as Machine Assembly