AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Zifan Liu (University of Wisconsin-Madison); Evan Rosen (Google); Paul Suganthan (Google)
A Preliminary Study of MLOps Practices in GitHub
Fabio Calefato (University of Bari Aldo Moro); Filippo Lanubile (University of Bari Aldo Moro); Luigi Quaranta (University of Bari)
Deploying Imitation Learning using VR Hand Tracking in Robot Manipulation Tasks
Jinchul Choi (Electronics and Telecommunications Research Institute); Chanwon Park (Electronics and Telecommunications Research Institute); Junhee Park (Electronics and Telecommunications Research Institute)
Continual learning on deployment pipelines for Machine Learning Systems
Qiang Li (RWTH Aachen); Chongyu Zhang (Technical University of Munich)
MLOps: Open Challenges from Hardware and Software Perspective in TinyML Devices
Ahmed Mujtaba (Gachon University); Abdul Majeed (Gachon University); Seong Oun Hwang (Gachon University)
Tree DNN: A Deep Container Network
Brijraj Singh (Sony Research India); Swati Gupta (JIIT NOIDA); Mayukh Das (Microsoft); Praveen Doreswamy Naidu (Samsung R&D); Sharan Allur (Samsung Research Institute Bangalore, India)
A Human-Centric Take on Model Monitoring
Murtuza N Shergadwala (Fiddler Labs, Inc); Himabindu Lakkaraju (Harvard); Krishnaram Kenthapadi (Fiddler AI)
Just Following AI Orders: When Unbiased People Are Influenced By Biased AI
Hammaad Adam (MIT); Aparna Balagopalan (MIT); Emily M Alsentzer (MIT); Fotini Christia (MIT); Marzyeh Ghassemi (University of Toronto, Vector Institute)
A Case for Rejection in Low Resource ML Deployment
Jerome White (Wadhwani Institute for Artificial Intelligence); Jigar Doshi (Wadhwani AI); Pulkit Madaan (Wadhwani Institute for Artificial Intelligence); Nikhil Shenoy (Wadhwani AI); Apoorv Agnihotri (Wadhwani Institute for Artificial Intelligence); Makkunda Sharma (Wadhwani AI)
Gumbel-Softmax Selective Networks
Mahmoud Salem (Vector Institute); Mohamed Osama Ahmed (Borealis AI); Fred Tung (Borealis AI); Gabriel Leivas Oliveira (Borealis AI)
Characterizing Anomalies with Explainable Classifiers
Naveen K Durvasula (University of California, Berkeley); Valentine d'Hauteville (Arthur); Keegan Hines (Arthur AI); John Dickerson (Arthur AI)
Desiderata for next generation of ML model serving
Sherif Akoush (Seldon); Andrei Paleyes (University of Cambridge); Arnaud Van Looveren (Seldon Technologies); Clive J Cox (Seldon)
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms
Vashist Avadhanula (Facebook); Omar Abdul Baki (Meta); Hamsa Bastani (Wharton); Osbert Bastani (University of Pennsylvania); Caner Gocmen (Facebook); Daniel Haimovich (Facebook); Darren Hwang (Meta); Dmytro Karamshuk (Facebook); Thomas J. Leeper (Facebook); Jiayuan Ma (Meta); Gregory Macnamara (Meta); Jake Mullet (Meta); Christopher Palow (Meta); Sung Park (Meta); Varun S Rajagopal (Meta); Kevin Schaeffer (Facebook); Parikshit Shah (Facebook); Deeksha Sinha (Massachusetts Institute of Technology); Nicolas E Stier-Moses (Facebook); Ben Xu (Meta)
SEIFER: Scalable Edge Inference for Deep Neural Networks
Arjun V Parthasarathy (Crystal Springs Uplands School); Bhaskar Krishnamachari (USC)
Post-Training Neural Network Compression With Variational Bayesian Quantization
Zipei Tan (Massachusetts Institute of Technology); Robert Bamler (University of Tübingen)
Property-Driven Evaluation of RL-Controllers in Self-Driving Datacenters
Arnav Arnav Chakravarthy (VMware); Nina Narodytska (VMware Research); Asmitha Rathis (VMware); Marius Vilcu (VMware); Mahmood Sharif (TAU / VMware); Gagandeep Singh (VMware Research)
MLOps for Compositional AI
Debmalya Biswas (Darwin Edge)