Co-occurring keywords · papers mentioning both
Papers
Approximate Bayesian Inference via Bitstring Representations
UAI 2025
Verifying Quantized Graph Neural Networks is PSPACE-complete
IJCAI 2025
Towards Efficient Verification of Quantized Neural Networks
AAAI 2024
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
AISTATS 2023
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
AAAI 2023
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
ICLR 2022
Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks
ICCV 2021
Scalable Verification of Quantized Neural Networks
AAAI 2021
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack
CVPR 2020
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks
ICLR 2020
Sampling-Free Learning of Bayesian Quantized Neural Networks
ICLR 2020
Searching for Low-Bit Weights in Quantized Neural Networks
NeurIPS 2020
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
NeurIPS 2019
Training Quantized Nets: A Deeper Understanding
NeurIPS 2017