neural architecture search

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference ECCV 2024 SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS ICLR 2024 Thesis Proposal: Detecting Empathy Using Multimodal Language Model EACL 2024 Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning AAAI 2024 UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024 Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NeurIPS 2024 Λ-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells ICLR 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023 AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AutoML 2023 Analyzing Generalization of Neural Networks through Loss Path Kernels NeurIPS 2023 A Survey on Dataset Distillation: Approaches, Applications and Future Directions IJCAI 2023 Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence CVPR 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration ICCV 2023 AutoGT: Automated Graph Transformer Architecture Search ICLR 2023 AutoKeras: An AutoML Library for Deep Learning JMLR 2023 Automatic Exploration of Optimal Data Processing Operations for Sound Data Augmentation Using Improved Differentiable Automatic Data Augmentation Interspeech 2023 AutoML for NLP EACL 2023 AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation ACL 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning AAAI 2023 AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks ICLR 2023 Balanced Mixture of Supernets for Learning the CNN Pooling Architecture AutoML 2023 Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment AAAI 2023