deep model

Towards Memorization Estimation: Fast, Formal and Free ICML 2025 Concept-Level Causal Explanation Method for Brain Function Network Classification IJCAI 2024 Consistent Counterfactuals for Deep Models ICLR 2022 Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models CVPR 2022 Flare7K: A Phenomenological Nighttime Flare Removal Dataset NeurIPS 2022 Watermarking for Out-of-distribution Detection NeurIPS 2022 Contemplating Real-World Object Classification ICLR 2021 On the Difficulty of Membership Inference Attacks CVPR 2021 Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration ICCV 2021 Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly NeurIPS 2021 Active Learning for Imbalanced Datasets WACV 2020 Model Watermarking for Image Processing Networks AAAI 2020 Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery AISTATS 2020 Automatic Code Review by Learning the Revision of Source Code AAAI 2019 Joint Optimization of Tree-based Index and Deep Model for Recommender Systems NeurIPS 2019 Few-Shot Adversarial Domain Adaptation NeurIPS 2017 Hybrid Acoustic-Lexical Deep Learning Approach for Deception Detection Interspeech 2017 Unsupervised Perceptual Rewards for Imitation Learning RSS 2017 Learning feed-forward one-shot learners NeurIPS 2016 Deeply Learned Attributes for Crowded Scene Understanding CVPR 2015 Modeling Mutual Visibility Relationship in Pedestrian Detection CVPR 2013 Learning the Architecture of Sum-Product Networks Using Clustering on Variables NeurIPS 2012