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The CLEVRER-Humans benchmark is a video reasoning dataset for causal judgment of physical events with human labels.
Experimental results on various networks, including ResNet, Inception-v3 and MobileNet, show that (i) CLEVER is aligned with the robustness indication measured by the $\ell_2$ and $\ell_\infty$ norms of adversarial examples from powerful attacks, and (ii) defended networks using defensive distillation or bounded ReLU indeed give better CLEVER ...
CLEVER score is attack-agnostic and computationally feasible for large neural networks. Experimental results on various networks, including ResNet, Inception-v3 and MobileNet, show that (i) CLEVER is aligned with the robustness indica-tion measured by the ‘ 2 and ‘ 1norms of adversarial examples from powerful
The paper argues that next-token prediction, a core paradigm of language models, cannot faithfully model human intelligence or problem-solving. It identifies two modes of next-token prediction: autoregressive inference and teacher-forcing, and shows how they lead to different issues and solutions.
Seaclan is clever, wise and smart in terms of skills. They live by a open sea (real life - the Baltic Sea) and are known for their ability to swim and dive. Th
016 namely CLEVER, which is augmentation-free 017 and mitigates biases on the inference stage. 018 Specifically, we train a claim-evidence fusion 019 model and a claim-only model independently. 020 Then, we obtain the final prediction via sub-021 tracting output of the claim-only model from 022 output of the claim-evidence fusion model,
CLeVer-CKE is based on a retrieve, verify and generate knowledge editing framework, where a retriever is formulated to recall edited facts and support an LLM to adhere to knowledge edits. We develop language-aware and hard-negative based contrastive losses for improving the cross-lingual and fine-grained fact retrieval and verification process ...
Outgoing,clever,loyal,patient and clumsy Backwards paw Bean I drew him and he is cute
2016) and MobileNet (Howard et al.,2017). We also use CLEVER to investigate defended networks against adversarial examples, including the use of defensive distillation (Papernot et al.,2016) and bounded ReLU (Zantedeschi et al.,2017). Experimental results show that our CLEVER score well aligns with the attack-speciļ¬c robustness indicated by ...