Optimization

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NeurIPS 2024 FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization CVPR 2024 Frequency-mix Knowledge Distillation for Fake Speech Detection Interspeech 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 Friendly Sharpness-Aware Minimization CVPR 2024 From Activation to Initialization: Scaling Insights for Optimizing Neural Fields CVPR 2024 From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs JMLR 2024 From Generalization Analysis to Optimization Designs for State Space Models ICML 2024 From Inverse Optimization to Feasibility to ERM ICML 2024 From Pixels to Metal: AI-Empowered Numismatic Art IJCAI 2024 From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning NAACL 2024 From raw data to safety: Reducing conservatism by set expansion L4DC 2024 From Sparse to Soft Mixtures of Experts ICLR 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 Functional Bilevel Optimization for Machine Learning NeurIPS 2024 Functional Gradient Flows for Constrained Sampling NeurIPS 2024 Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NeurIPS 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NeurIPS 2024 FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing NAACL 2024 FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving NeurIPS 2024 GAATME: A Genetic Algorithm for Adversarial Translation Metrics Evaluation COLING 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024