evolutionary search

KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs NeurIPS 2023 SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer CVPR 2023 Symbolic Discovery of Optimization Algorithms NeurIPS 2023 Proximal Exploration for Model-guided Protein Sequence Design ICML 2022 Reinforcement Learning with Automated Auxiliary Loss Search NeurIPS 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AutoML 2022 Token and Head Adaptive Transformers for Efficient Natural Language Processing COLING 2022 BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021 Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces ICCV 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021 GENSYNTH: Synthesizing Datalog Programs without Language Bias AAAI 2021 Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ACL 2021 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Ansor: Generating High-Performance Tensor Programs for Deep Learning OSDI 2020 APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020 Binarizing MobileNet via Evolution-Based Searching CVPR 2020 FENAS: Flexible and Expressive Neural Architecture Search EMNLP 2020