Co-occurring keywords · papers mentioning both
Papers
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
AAAI 2026
MISO: Multiresolution Submap Optimization for Efficient Globally Consistent Neural Implicit Reconstruction
RSS 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models
EMNLP 2025
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
AAAI 2024
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search
CVPR 2023
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization
NeurIPS 2023
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
NeurIPS 2022
A Federated Approach in Training Acoustic Models
Interspeech 2020
Hierarchical Constrained Bayesian Optimization for Feature, Acoustic Model and Decoder Parameter Optimization
Interspeech 2017
Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees
ICCV 2013
Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation
ICCV 2013
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
NeurIPS 2013
Hierarchical Optimistic Region Selection driven by Curiosity
NeurIPS 2012