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0f293260c9e3e9527c06920316326114-Paper-Conference.pdf

Neural Information Processing Systems

Deep predictive models of neuronal activity have recently enabled several new discoveries about the selectivity and invariance of neurons in the visual cortex.



CiteME: CanLanguageModels AccuratelyCiteScientificClaims?

Neural Information Processing Systems

Scientific discoveries areadvancing atanever-growing rate, with tensofthousands ofnewpapers added just to arXiv every month [4]. This rapid progress has led to information overload within communities, making it nearly impossible for scientists to read all relevant papers.






A Few-shot MiniImageNet 402 The dataset construction is based on MiniImageNet [ 26 ], following the method of Tsimpoukelli et al

Neural Information Processing Systems

A 256 256 image size is used so that the ViT encoder generates 256 tokens. We follow the process used in Tsimpoukelli et al. Randomly sampled image from ImageNet. Randomly sampled image from ImageNet.



0c4bc137edaf0eb7f66a87275a8be706-Paper-Conference.pdf

Neural Information Processing Systems

Recent efforts for developing general-purpose estimators with broader coverage, incorporating thefront-door adjustment (FD) (Pearl, 2000) andothers, are not scalable due to the high computational cost of summing over a highdimensional set of variables.