Optimization

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection ECCV 2024 Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue EMNLP 2024 Overcoming Saturation in Density Ratio Estimation by Iterated Regularization ICML 2024 OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models AAAI 2024 OxonFair: A Flexible Toolkit for Algorithmic Fairness NeurIPS 2024 P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering ICLR 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices NeurIPS 2024 PairDistill: Pairwise Relevance Distillation for Dense Retrieval EMNLP 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Pandora’s Problem with Deadlines AAAI 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Parallelizing non-linear sequential models over the sequence length ICLR 2024 Parameter-adaptive approximate MPC: Tuning neural-network controllers without retraining L4DC 2024 Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024 Parameter-free Clipped Gradient Descent Meets Polyak NeurIPS 2024 Parameterized fast and safe tracking (FaSTrack) using DeepReach L4DC 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 Parameterized Projected Bellman Operator AAAI 2024 Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances NSDI 2024 Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution ICLR 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024 Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024 PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus AAAI 2024 Parsimonious Learning-Augmented Approximations for Dense Instances of NP-hard Problems ICML 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024