decision boundary

Controllable Guide-Space for Generalizable Face Forgery Detection ICCV 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary AAAI 2023 Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification UAI 2023 Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection CVPR 2023 Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness ICLR 2023 Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization ICCV 2023 Harnessing Hard Mixed Samples with Decoupled Regularizer NeurIPS 2023 Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition AAAI 2023 Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023 Non-parametric Outlier Synthesis ICLR 2023 Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection CVPR 2023 Prototypical Calibration for Few-shot Learning of Language Models ICLR 2023 Provable Benefit of Mixup for Finding Optimal Decision Boundaries ICML 2023 Redactor: A Data-Centric and Individualized Defense against Inference Attacks AAAI 2023 SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries CVPR 2023 The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes NeurIPS 2023 Unsupervised Anomaly Detection with Rejection NeurIPS 2023 VeriX: Towards Verified Explainability of Deep Neural Networks NeurIPS 2023 Adaptive Rectangle Loss for Speaker Verification Interspeech 2022 C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection CVPR 2022 Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022 Certified Robustness via Locally Biased Randomized Smoothing L4DC 2022 Concurrent Adversarial Learning for Large-Batch Training ICLR 2022 Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs AAAI 2022