FactSheets for Hardware-Aware AI Models: A Case Study of Analog in Memory Computing AI Models
- Brandon Dominique
- Kaoutar El Maghraoui
- et al.
- 2023
- SSE 2023
Publications
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing
- Hadjer Benmeziane
- Corey Lammie
- et al.
- 2023
- EDGE 2023
Transfer-Once-For-All: AI Model Optimization for Edge
- Achintya Kundu
- Laura Wynter
- et al.
- 2023
- EDGE 2023
LogInsights: Understanding and Extracting Information from Logs for Fast Fault Classification by Weak Supervision
- Suranjana Samanta
- Prateeti Mohapatra
- et al.
- 2023
- SSE 2023
End-to-End Deep Reinforcement Learning for Conversation Disentanglement
- Karan Bhukar
- Harshit Kumar
- et al.
- 2023
- AAAI 2023
Foundation Model for Material Science
- Seiji Takeda
- Akihiro Kishimoto
- et al.
- 2023
- AAAI 2023
Concurrent Multi-Label Prediction in Event Streams
- Xiao Shou
- Tian Gao
- et al.
- 2023
- AAAI 2023
Rule Induction in Knowledge Graphs Using Linear Programming
- Sanjeeb Dash
- João Gonçalves
- 2023
- AAAI 2023
Holistic Adversarial Robustness of Deep Learning Models
- Pin-Yu Chen
- Sijia Liu
- 2023
- AAAI 2023
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
- Gabriel Mancino-Ball
- Shengnan Miao
- et al.
- 2023
- AAAI 2023