weight sharing

Preparing Lessons for Progressive Training on Language Models AAAI 2024 Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs ICLR 2024 SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model CVPR 2024 Balanced Mixture of Supernets for Learning the CNN Pooling Architecture AutoML 2023 Degree-based stratification of nodes in Graph Neural Networks ACML 2023 Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023 Goal-Conditioned Generators of Deep Policies AAAI 2023 Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models ICLR 2023 Permutation Equivariant Neural Functionals NeurIPS 2023 PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search ICML 2023 ShiftNAS: Improving One-shot NAS via Probability Shift ICCV 2023 Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks NeurIPS 2023 Train-Once-for-All Personalization CVPR 2023 Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation EMNLP 2023 Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics ICML 2022 AutoBERT-Zero: Evolving BERT Backbone from Scratch AAAI 2022 Automated Super-Network Generation for Scalable Neural Architecture Search AutoML 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 Distribution Consistent Neural Architecture Search CVPR 2022 Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation WACV 2022 Embedded Ensembles: infinite width limit and operating regimes AISTATS 2022 Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models NeurIPS 2022 Generalizing Few-Shot NAS with Gradient Matching ICLR 2022