Optimization

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths ICLR 2023 Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023 DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network CVPR 2023 DeepPCR: Parallelizing Sequential Operations in Neural Networks NeurIPS 2023 Deep Random Projector: Accelerated Deep Image Prior CVPR 2023 Delay-penalized CTC Implemented Based on Finite State Transducer Interspeech 2023 Differentiable Shadow Mapping for Efficient Inverse Graphics CVPR 2023 Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models ICML 2023 DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023 Dynamic Low-rank Estimation for Transformer-based Language Models EMNLP 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition CVPR 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones ICCV 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation ICLR 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023 Explicit Regularization in Overparametrized Models via Noise Injection AISTATS 2023 Fast Convergence in Learning Two-Layer Neural Networks with Separable Data AAAI 2023