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Export 862 results:
From Map Reading to Geometric Intuitions. Developmental Psychology (2018). doi:http://dx.doi.org/10.1037/dev0000509
Full interpretation of minimal images. Cognition 171, 65-84 (2018). Full interpretation of minimal images.pdf (4.55 MB)
Grounding language acquisition by training semantic parsersusing captioned videos. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), (2018). at <http://aclweb.org/anthology/D18-1285> Ross-et-al_ACL2018_Grounding language acquisition by training semantic parsing using caption videos.pdf (3.5 MB)
Human inference of force from impact sounds: Perceptual evidence for inverse physics. Annual Meeting of the Acoustical Society 143, (2018).
Human recognition of environmental sounds is not always robust to reverberation. Annual Meeting of the Acoustical Society 143, (2018).
Image interpretation above and below the object level. (2018). CBMM-Memo-089.pdf (2.06 MB)
Image interpretation above and below the object level. Proceedings of the Royal Society: Interface Focus (2018). 2018-BenYosef_Ullman-Image_interpretation_above_and_below the object_level.pdf (3.26 MB)
Invariant Recognition Shapes Neural Representations of Visual Input. Annual Review of Vision Science 4, 403 - 422 (2018). annurev-vision-091517-034103.pdf (1.55 MB)
The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors. workshop on "AI for Social Good", NIPS 2018 (2018). at <http://hdl.handle.net/1721.1/120056> fake-news-paper-NIPS.pdf (147.36 KB) fake-news-paper-NIPS_2018_v2.pdf (147.36 KB)
Learning Mid-Level Auditory Codes from Natural Sound Statistics. Neural Computation 30, 631-669 (2018).
Learning physical parameters from dynamic scenes. Cognitive Psychology 104, 57-82 (2018). T-Ullman-etal_CogPsych_LearningPhysicalParametersFromDynamicScenes.pdf (3.15 MB)
Learning Scene Gist with Convolutional Neural Networks to Improve Object Recognition. arXiv | Cornell University arXiv:1803.01967, (2018).
Learning scene gist with convolutional neural networks to improve object recognition. 2018 52nd Annual Conference on Information Sciences and Systems (CISS) (2018). doi:10.1109/CISS.2018.8362305 08362305.pdf (3.17 MB)
Lucky or clever? From changed expectations to attributions of responsibility. Cognition (2018).
MEG action recognition data. (2018). doi:https://doi.org/10.7910/DVN/KFYY2M
The Wiley Handbook of Human Computer Interaction 2, 539-559 (John Wiley & Sons , 2018).
Neural Interactions Underlying Visuomotor Associations in the Human Brain. Cerebral Cortex 1–17, (2018).
A neural network trained to predict future videoframes mimics critical properties of biologicalneuronal responses and perception. ( arXiv | Cornell University, 2018). at <https://arxiv.org/pdf/1805.10734.pdf> 1805.10734.pdf (9.59 MB)
Partially Occluded Hands: A challenging new dataset for single-image hand pose estimation. The 14th Asian Conference on Computer Vision (ACCV 2018) (2018). at <http://accv2018.net/> partially-occluded-hands-6.pdf (8.29 MB)