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Dec 31, 2023 · The evolution of deep learning and artificial intelligence has significantly reshaped technological landscapes. However, their effective application in crucial sectors such as medicine demands more than just superior performance, but trustworthiness as well. While interpretability plays a pivotal role, existing explainable AI (XAI) approaches often do not reveal Clever Hans …
Jun 19, 2024 · With a clever usage of the equivalence between reward models and the corresponding optimal policy, the algorithm features a simple objective that combines (i) a preference optimization loss that directly aligns the policy with human preference, and (ii) a supervised learning loss which explicitly imitates the policy with a baseline distribution.
May 1, 2025 · We use a clever technique that involves rotating the data within each layer of the model, making it easier to identify and keep only the most important parts for processing. This ensures that the model remains fast and efficient without losing much accuracy.
Dec 31, 2022 · In this paper, we leverage CLIP for zero-shot sketch based image retrieval (ZS-SBIR). We are largely inspired by recent advances on foundation models and the unparalleled generalisation ability...
May 1, 2025 · A clever sampling trick that lets smaller models temporarily boost their capabilities These innovations allow SANA-1.5 to match or exceed the performance of systems like Stable Diffusion XL while being more accessible.
Promoting openness in scientific communication and the peer-review process
Jan 22, 2025 · Promoting openness in scientific communication and the peer-review process
Nov 1, 2023 · LLMs are primarily reliant on high-quality and task-specific prompts. However, the prompt engineering process relies on clever heuristics and requires multiple iterations. Some recent works attempt...
Jan 1, 2024 · The enhancement is performed in two stages. In the initial stage, LAN applies adaptive luminance adjustment to the original visible image. Subsequently, RFN achieves secondary enhancement and feature fusion with a clever combination of dual-attention mechanism, which motivates the fusion results to have high contrast and sharpness.
4 THE CLEVER ROBUSTNESS METRIC VIA EXTREME VALUE THEORY tack-agnostic score 2 proof deferred to Appendix B 3 proof deferred to Appendix C t of a classifier and Lj q;x0 is defined as maxx2Bp(x0;R) krg(x)kq. Although rg(x) can be calculated easily via back propagation, computing Lj q;x0 is more involved be
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