deep network

RiverScope: High-Resolution River Masking Dataset AAAI 2026 Accelerated training through iterative gradient propagation along the residual path ICLR 2025 A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging CVPR 2025 Back to the Future of Integrated Robot Systems AAAI 2025 DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025 Learning without Isolation: Pathway Protection for Continual Learning ICML 2025 A Rainbow in Deep Network Black Boxes JMLR 2024 ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision WACV 2024 Embedding Task Structure for Action Detection WACV 2024 Equivariant Deep Weight Space Alignment ICML 2024 Learning in Deep Factor Graphs with Gaussian Belief Propagation ICML 2024 Vikriti-ID: A Novel Approach for Real Looking Fingerprint Data-Set Generation WACV 2024 Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models CVPR 2024 Why Do We Need Weight Decay in Modern Deep Learning? NeurIPS 2024 Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher AAAI 2023 Class based Influence Functions for Error Detection ACL 2023 Global Explanations for Image Classifiers (Student Abstract) AAAI 2023 Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think ICML 2023 Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023 SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries CVPR 2023 The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima JMLR 2023 Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023 Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction IJCAI 2022 Deep Learning in Target Space JMLR 2022 Emergent Language-Based Coordination In Deep Multi-Agent Systems EMNLP 2022