pretrained network

EvA: Erasing Spurious Correlations with Activations ICLR 2025 LAN: Learning to Adapt Noise for Image Denoising CVPR 2024 Bespoke: A Block-Level Neural Network Optimization Framework for Low-Cost Deployment AAAI 2023 GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients NeurIPS 2023 How to prepare your task head for finetuning ICLR 2023 Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation ICCV 2023 Few-Shot Adaptation of Pre-Trained Networks for Domain Shift IJCAI 2022 Can We Characterize Tasks Without Labels or Features? CVPR 2021 Contrastive Learning for Label Efficient Semantic Segmentation ICCV 2021 Foreground-Aware Semantic Representations for Image Harmonization WACV 2021 You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network IJCAI 2021 Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition Interspeech 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020 Gradients as Features for Deep Representation Learning ICLR 2020 Stochastic Normalization NeurIPS 2020 Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification AAAI 2019 Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks NeurIPS 2019