Tag: adversarial machine learning
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Uncertainty-Aware Reward Discounting to Prevent Reward Hacking
Discover how uncertainty-aware reward discounting reduces reward hacking in reinforcement learning, improving stability and real-world AI alignment.
TimeMM: Dynamic Multimodal Recommendation with Spectral Filtering
Discover TimeMM, a novel framework using spectral filtering to enhance dynamic multimodal recommendations by adapting to evolving user preferences.
Qvine: Efficient Quantum Circuits for High-Dimensional Data
Discover Qvine, a novel quantum circuit design that efficiently loads high-dimensional distributions, enhancing scalability and trainability in quantum com...
Co-Learning Port-Hamiltonian Systems for Optimal Energy Control
Discover a novel framework for co-learning port-Hamiltonian systems and optimal energy-shaping control using neural networks and trajectory data.
Neural Cellular Automata for Structural Generalization on SLOG
Discover how neural cellular automata achieve structural generalization on SLOG without hand-written rules, outperforming traditional semantic parsing mode...