Optimization

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 FESSNC: Fast Exponentially Stable and Safe Neural Controller ICML 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models EMNLP 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024 FlowIE: Efficient Image Enhancement via Rectified Flow CVPR 2024 Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics ICML 2024 FOSI: Hybrid First and Second Order Optimization ICLR 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems ICML 2024 From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers CVPR 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers AAAI 2024 Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory EMNLP 2024 Generalizable Symbolic Optimizer Learning ECCV 2024 General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels NeurIPS 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Gradient descent in matrix factorization: Understanding large initialization UAI 2024 Gradient-free Decoder Inversion in Latent Diffusion Models NeurIPS 2024 Gradient Guidance for Diffusion Models: An Optimization Perspective NeurIPS 2024