conftrace_

weight sharing

99 papers

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WS

Co-occurring keywords

neural architecture search (666) model compression (3302) neural network (6616) convolutional neural network (4226) knowledge distillation (3725) supernet training (26) parameter efficiency (417) image classification (1944) one-shot learning (233) neural network optimization (1293)

Papers

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation EMNLP 2023
Goal-Conditioned Generators of Deep Policies AAAI 2023
ShiftNAS: Improving One-shot NAS via Probability Shift ICCV 2023
Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks CVPR 2022
Embedded Ensembles: infinite width limit and operating regimes AISTATS 2022
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information ICML 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics ICML 2022
Slimmable Domain Adaptation CVPR 2022
Distribution Consistent Neural Architecture Search CVPR 2022
Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters NIPS 2022
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation WACV 2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks ICML 2022
AutoBERT-Zero: Evolving BERT Backbone from Scratch AAAI 2022
MiniViT: Compressing Vision Transformers With Weight Multiplexing CVPR 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing ACL 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NIPS 2022
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search WACV 2022
Automated Super-Network Generation for Scalable Neural Architecture Search AUTOML 2022
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NIPS 2021
How Powerful are Performance Predictors in Neural Architecture Search? NIPS 2021