Oceania
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense Kalpesh Krishna Yixiao Song Marzena Karpinska John Wieting Mohit Iyyer
API, looking for sequences that match the candidate text within a certain threshold.
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
This procedure is repeated in alternating optimization fashion.
Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi
Generative data augmentation leverages the synthetic samples produced by generative models as an additional dataset for classification with small dataset settings. A key challenge of generative data augmentation is that the synthetic data contain uninformative samples that degrade accuracy.
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
Adjusted Mutual Information, are type II biased.
Efficient Online Clustering with Moving Costs
The clients' positions may change in complex and unpredictable ways and thus an a priori knowledge
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Africa pose, partial view, color diapers The Americas vs. Africa pose, color, partial view pet foods Asia vs.
Man arrested on suspicion of starting Pacific Palisades fire
A man has been arrested as a suspect in setting the Pacific Palisades fire in Los Angeles that killed 12 people and destroyed more than 6,000 homes in January. Justice department officials announced at a news conference that 29-year-old Jonathan Rinderknecht had been detained. They said evidence collected from his digital devices showed an image he generated on ChatGPT depicting a burning city. The fire was sparked on 7 January near a popular hiking trail overlooking the wealthy coastal neighbourhood. The Eaton Fire, ignited the same day in the Los Angeles area, killed another 19 people and destroyed about 9,400 structures, officials said.
Supplementary Material for Optimal Transport Model Distributional Robustness Van-Anh Nguyen 1 Trung Le
This section presents all proofs in our work. It's worth noting that the experiments in Table 1 utilize an input resolution of 32x32, This noise can lead to a reduction in accuracy. WideResNet, to ensure the convergence of SGLD. This average prediction was obtained by aggregating the softmax predictions from all the base classifiers. Moreover, to ensure reliable uncertainty estimation, we employ calibrated uncertainty scores (Brier, NLL, ECE, and AAC).