Export 847 results:
Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors. International Conference on Infant Studies (ICIS) (2016). Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors (45.21 MB)
Probing the compositionality of intuitive functions. (2016). CBMM-Memo-048.pdf (815.72 KB)
Rapid Physical Predictions from Convolutional Neural Networks. Neural Information Processing Systems, Intuitive Physics Workshop (2016). at <http://phys.csail.mit.edu/papers/9.pdf> Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB)
Recognizing and Interpreting Social Interactions in Local Image Regions. The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA (2016).
A Review of Relational Machine Learning for Knowledge Graphs. Proceedings of the IEEE 104, 11 - 33 (2016). 1503.00759v3.pdf (1.53 MB)
Review of the CBMM workshop on the Turing++ Question: 'who is there?'. (2016). Review of the CBMM workshop on the Turing++ Question- 'who is there?' .pdf (555.71 KB)
Statistics of natural reverberation enable perceptual separation of sound and space. Proceedings of the National Academy of Sciences 113, E7856 - E7865 (2016).
Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning. (2016). CBMM-Memo-057.pdf (1.27 MB)
Theory I: Why and When Can Deep Networks Avoid the Curse of Dimensionality?. (2016). CBMM-Memo-058v1.pdf (2.42 MB) CBMM-Memo-058v5.pdf (2.45 MB) CBMM-Memo-058-v6.pdf (2.74 MB) Proposition 4 has been deleted (2.75 MB)
There’s Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task [code]. (2016).
There’s Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task [dataset]. (2016).
There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task. Cerebral Cortex 26(7), 26:3064-3082 (2016).
To What Extent Does Global Shape Influence Category Representation in the Brain?. Journal of Neuroscience 36, 4149 - 4151 (2016).
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images. NIPS 2016 (2016). 6590-training-and-evaluating-multimodal-word-embeddings-with-large-scale-web-annotated-images.pdf (1.57 MB)
Treebank of Learner English (TLE). (2016). at <http://esltreebank.org/> acl2016.pdf (163.86 KB)
The Trolley Problem [Edge.com]. (2016). at <https://www.edge.org/response-detail/27051> The Trolley Problem.pdf (343.3 KB)
Turing++ Questions: A Test for the Science of (Human) Intelligence. AI Magazine 37 , 73-77 (2016). Turing_Plus_Questions.pdf (424.91 KB)
Uncovering representations of sleep-associated hippocampal ensemble spike activity. Scientific Reports 6, (2016).
Understanding "almost": Empirical and computational studies of near misses. 38th Annual Meeting of the Cognitive Science Society (2016). Understanding almost (Gerstenberg, Tenenbaum, 2016).pdf (4.08 MB)
Universal Dependencies for Learner English. (2016). memo-52_rev1.pdf (472.67 KB)
Unsupervised Learning of Visual Structure using Predictive Generative Networks. International Conference on Learning Representations (ICLR) (2016). at <http://arxiv.org/pdf/1511.06380v2.pdf>
VerbCorner: Testing theories of argument structure through crowdsourcing. Workshop on Events in Language (2016). VerbCorner_EventsInLanguage.pdf (1.14 MB)
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation. (2016). faceMirrorSymmetry_memo_ver01.pdf (3.93 MB)
Visual Concept Recognition and Localization via Iterative Introspection. . Asian Conference on Computer Vision (2016). Focusing on parts of interest (910.14 KB)