binary mask

CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026 GenMask: Adapting DiT for Segmentation via Direct Mask Generation CVPR 2026 Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025 LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression ICML 2025 Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling ACL 2025 Optimal Information Retention for Time-Series Explanations ICML 2025 Listenable Maps for Audio Classifiers ICML 2024 LP-3DGS: Learning to Prune 3D Gaussian Splatting NeurIPS 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024 Optimization-based Uncertainty Attribution Via Learning Informative Perturbations ECCV 2024 Salient Object Detection for Images Taken by People With Vision Impairments WACV 2024 MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-robust Classifier AAAI 2023 One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning ACL 2023 Sparse Random Networks for Communication-Efficient Federated Learning ICLR 2023 Forget-free Continual Learning with Winning Subnetworks ICML 2022 Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022 Masksembles for Uncertainty Estimation CVPR 2021 Per-Pixel Classification is Not All You Need for Semantic Segmentation NeurIPS 2021 What’s Hidden in a One-layer Randomly Weighted Transformer? EMNLP 2021 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 Listener Preference on the Local Criterion for Ideal Binary-Masked Speech Interspeech 2019 Boundary-Aware Instance Segmentation CVPR 2017 Monaural Source Separation Using a Random Forest Classifier Interspeech 2016