% Key papers for Differentiable architecture search (DARTS) (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{iclr2019_darts_29005, title = {{DARTS: Differentiable Architecture Search}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/1030}, } @inproceedings{iclr2020_pc_29309, title = {{PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=BJlS634tPr}, } @inproceedings{cvpr2020_fbnetv2_15515, title = {{FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{iclr2020_understanding_29411, title = {{Understanding and Robustifying Differentiable Architecture Search}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=H1gDNyrKDS}, } @inproceedings{iclr2021_darts_30193, title = {{DARTS-: Robustly Stepping out of Performance Collapse Without Indicators}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2641}, } @inproceedings{cvpr2021_dots_16794, title = {{DOTS: Decoupling Operation and Topology in Differentiable Architecture Search}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_towards_18024, title = {{Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{neurips2019_data_58076, title = {{DATA: Differentiable ArchiTecture Approximation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13317}, } @inproceedings{cvpr2020_unas_16392, title = {{UNAS: Differentiable Architecture Search Meets Reinforcement Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2016_improved_11605, title = {{Improved Hamming Distance Search Using Variable Length Substrings}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{aaai2024_training_7635, title = {{Training-Free Quantum Architecture Search}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29135}, } @inproceedings{neurips2020_theory_60970, title = {{Theory-Inspired Path-Regularized Differential Network Architecture Search}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17006}, } @inproceedings{cvpr2023_differentiable_20792, title = {{Differentiable Architecture Search With Random Features}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21427}, } @inproceedings{aaai2024_uniads_7692, title = {{UniADS: Universal Architecture-Distiller Search for Distillation Gap}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29327}, } @inproceedings{neurips2021_batchquant_63241, title = {{BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/28836}, } @inproceedings{iclr2020_blockswap_29694, title = {{BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=SklkDkSFPB}, } @inproceedings{iclr2024_curriculum_35376, title = {{Curriculum reinforcement learning for quantum architecture search under hardware errors}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17697}, } @inproceedings{aaai2025_resource_10528, title = {{Resource Constrained Pathfinding with Enhanced Bidirectional A* Search}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34892}, } @inproceedings{neurips2021_differentiable_62955, title = {{Differentiable Synthesis of Program Architectures}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/26595}, } @inproceedings{aaai2021_unchain_1580, title = {{Unchain the Search Space with Hierarchical Differentiable Architecture Search}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/08644-unchain-the-search-space-with-hierarchical-differentiable-architecture-search/}, } @inproceedings{neurips2024_towards_72763, title = {{Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94631}, } @inproceedings{neurips2025_tensorrl_74750, title = {{TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=0okFLZvtKs}, } @inproceedings{neurips2025_high_78367, title = {{High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=dtsYpcJr1R}, } @inproceedings{cvpr2026_tas_97040, title = {{TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Jeon_TAS-LoRA_Transformer_Architecture_Search_with_Mixture-of-LoRA_Experts_CVPR_2026_paper.html}, } @inproceedings{iclr2024_masked_34211, title = {{Masked Distillation Advances Self-Supervised Transformer Architecture Search}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18864}, } @inproceedings{icml2026_search_53468, title = {{Search Space Synthesis for Parametric Functions}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=flnsWGAFWv}, } @inproceedings{neurips2026_cool_90913, title = {{Cool Graphs: Active Property Search Towards Quantum Nano-Refrigerators}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/152915}, }