Co-occurring keywords · papers mentioning both
Papers
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
ICML 2025
On The Fairness Impacts of Hardware Selection in Machine Learning
ICML 2024
Second-order forward-mode optimization of recurrent neural networks for neuroscience
NeurIPS 2024
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
GeNAS: Neural Architecture Search with Better Generalization
IJCAI 2023
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
NeurIPS 2022
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
ICLR 2022
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
ICML 2021
Class Normalization for (Continual)? Generalized Zero-Shot Learning
ICLR 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training
NeurIPS 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
ICML 2021
Non-attracting Regions of Local Minima in Deep and Wide Neural Networks
JMLR 2021
HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface
AAAI 2020
Low-loss connection of weight vectors: distribution-based approaches
ICML 2020
Piecewise linear activations substantially shape the loss surfaces of neural networks
ICLR 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
NeurIPS 2020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
ICLR 2020
Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks
ACML 2020
Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex
AISTATS 2019
Piecewise Strong Convexity of Neural Networks
NeurIPS 2019
Robustness via Curvature Regularization, and Vice Versa
CVPR 2019
Small nonlinearities in activation functions create bad local minima in neural networks
ICLR 2019
An Alternative View: When Does SGD Escape Local Minima?
ICML 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
NeurIPS 2018
The Multilinear Structure of ReLU Networks
ICML 2018