Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees Y u Gui
Neural Information Processing Systems
Before deploying outputs from foundation models in high-stakes tasks, it is imperative to ensure that they align with human values.
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Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
Neural Information Processing Systems
We revisit this scenario as an experimental case study in Section 6.
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Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
Neural Information Processing Systems
By the second iteration, it exceeds the performance of RLHF-based methods across all metrics, achieving these results with less data.
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Symmetries in Overparametrized Neural Networks: A Mean-Field View
Neural Information Processing Systems
SL techniques to be studied.
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