deep neural network

Parallel Backpropagation for Shared-Feature Visualization NeurIPS 2024 Path Choice Matters for Clear Attributions in Path Methods ICLR 2024 PHG-Net: Persistent Homology Guided Medical Image Classification WACV 2024 Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NeurIPS 2024 Purified and Unified Steganographic Network CVPR 2024 Pushing Boundaries: Mixup's Influence on Neural Collapse ICLR 2024 Relational DNN Verification With Cross Executional Bound Refinement ICML 2024 Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024 Robust Universal Adversarial Perturbations ICML 2024 Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and Metrics ACML 2024 Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds JMLR 2024 Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024 Scaling Supervised Local Learning with Augmented Auxiliary Networks ICLR 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024 SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024 Temporal-Distributed Backdoor Attack against Video Based Action Recognition AAAI 2024 The data-driven transferable adversarial space ACML 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Towards Calibrated Multi-label Deep Neural Networks CVPR 2024 Towards Certified Unlearning for Deep Neural Networks ICML 2024 Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators ICLR 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions NeurIPS 2024