Optimization

Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023 Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity ICML 2023 Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction CVPR 2023 Decoupling-and-Aggregating for Image Exposure Correction CVPR 2023 DEDRIFT: Robust Similarity Search under Content Drift ICCV 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NeurIPS 2023 Deep Contract Design via Discontinuous Networks NeurIPS 2023 Deep Equilibrium Object Detection ICCV 2023 DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement Interspeech 2023 Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation ICCV 2023 Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023 Deep Hashing With Minimal-Distance-Separated Hash Centers CVPR 2023 Deep Joint Source-Channel Coding with Iterative Source Error Correction AISTATS 2023 Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization ICLR 2023 DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network CVPR 2023 Deep Off-Policy Iterative Learning Control L4DC 2023 DeepPCR: Parallelizing Sequential Operations in Neural Networks NeurIPS 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023 Deep Random Projector: Accelerated Deep Image Prior CVPR 2023 Deep Ranking Ensembles for Hyperparameter Optimization ICLR 2023 Deep Recurrent Optimal Stopping NeurIPS 2023 Deep Value Function Networks for Large-Scale Multistage Stochastic Programs AISTATS 2023 DEFT: Dexterous Fine-Tuning for Hand Policies CoRL 2023