Research map / Adversarial robustness and security / Certified and empirical robustness
Adversarial Localized Energy Network for Structured Prediction
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Structured Energy Network As a Loss (NeurIPS 2022 · similarity 0.88)
- Deep Structured Prediction with Nonlinear Output Transformations (NeurIPS 2018 · similarity 0.88)
- Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks (NeurIPS 2019 · similarity 0.88)
- Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? (NeurIPS 2024 · similarity 0.85)
- SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models (ICLR 2024 · similarity 0.85)
- The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference (ICML 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
