parameter generation

CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation AAAI 2026 HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026 A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning ICLR 2025 CAD-HLLM: Generating Executable CAD from Text with Hierarchical LLM Planning ACML 2025 Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios ICCV 2025 HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks CVPR 2025 In-Context Meta LoRA Generation IJCAI 2025 ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion EMNLP 2025 A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune EMNLP 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions NeurIPS 2024 Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024 CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying AAAI 2023 Growing a Brain with Sparsity-Inducing Generation for Continual Learning ICCV 2023 Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers IJCAI 2023 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction NeurIPS 2022 APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing EMNLP 2021 UDapter: Language Adaptation for Truly Universal Dependency Parsing EMNLP 2020 Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019 Meta-Learning to Detect Rare Objects ICCV 2019 Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation ICLR 2019 Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018 ML Parameter Generation with a Reformulated MGE Training Criterion — Participation in the Voice Conversion Challenge 2016 Interspeech 2016