Optimization

Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling AAAI 2023 Accelerating Self-Supervised Learning via Efficient Training Strategies WACV 2023 Accelerating the Training of Video Super-resolution Models AAAI 2023 Accelerating Toeplitz Neural Network with Constant-time Inference Complexity EMNLP 2023 Accelerating Transformer Inference for Translation via Parallel Decoding ACL 2023 Accelerating Value Iteration with Anchoring NeurIPS 2023 Accelerating Vision-Language Pretraining With Free Language Modeling CVPR 2023 A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation CVPR 2023 Achievement-Based Training Progress Balancing for Multi-Task Learning ICCV 2023 Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization NeurIPS 2023 Achieving High Accuracy with PINNs via Energy Natural Gradient Descent ICML 2023 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 ACLS: Adaptive and Conditional Label Smoothing for Network Calibration ICCV 2023 A Computationally Efficient Sparsified Online Newton Method NeurIPS 2023 A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting NeurIPS 2023 A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023 A Continuous-time Stochastic Gradient Descent Method for Continuous Data JMLR 2023 Acoustic Sensing and Communication Using Metasurface NSDI 2023 Action Space Reduction for Planning Domains IJCAI 2023 ActUp: Analyzing and Consolidating tSNE and UMAP IJCAI 2023 AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization AISTATS 2023 AdANNS: A Framework for Adaptive Semantic Search NeurIPS 2023 Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference EMNLP 2023 Adaptive Annealing for Robust Geometric Estimation CVPR 2023 Adaptive Attention for Sparse-based Long-sequence Transformer ACL 2023