Publication
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL. Nineteenth Conference on Computational Natural Language Learning (CoNLL), Beijing, China (2015).
Predicting Native Language from Gaze. Annual Meeting of the Association for Computational Linguistics (ACL 2017) (2017).
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal. (2015).
Language and Vision Ambiguities (LAVA) Corpus. (2016). at <http://web.mit.edu/lavacorpus/>
D15-1172.pdf (2.42 MB)
Universal Dependencies for Learner English. (2016).
memo-52_rev1.pdf (472.67 KB)
Reconstructing Native Language Typology from Foreign Language Usage. (2014).
CBMM-Memo-007.pdf (683.75 KB)
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. (2016).
memo-51.pdf (2.74 MB)
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4. BrainScore Workshop at COSYNE (2022). at <https://openreview.net/pdf?id=SOulrWP-Xb5>
Pragmatic Reasoning through Semantic Inference. Semantics and Pragmatics Vol 9 (2016) , (2016).
BergenLevyGoodman2015.pdf (1.12 MB)
Agent Systems for Academic Research Automation. (2026).
Agent Systems for Academic Research Automation v. 2 (398.05 KB)
Agent Systems for Academic Research Automation v. 1 (396.53 KB)
Quality Early Learning: Nurturing Children's Potential. (The World Bank, 2022). doi:10.1596/978-1-4648-1795-3
A model for interpreting social interactions in local image regions. AAAI Spring Symposium Series, Science of Intelligence (2017). at <http://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15354>
2017-Ben-Yosef_Yachin_Ullman-A_model_for_interpreting_social_interactions_in_local_image_regions.pdf (1.53 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)
Recognizing and Interpreting Social Interactions in Local Image Regions. The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA (2016).
Spatiotemporal interpretation features in the recognition of dynamic images. (2018).
CBMM-Memo-094.pdf (1.21 MB)
CBMM-Memo-094-dynamic-figures.zip (1.8 MB)
fig1.ppsx (147.67 KB)
fig2.ppsx (419.72 KB)
fig4.ppsx (673.41 KB)
figS1.ppsx (587.88 KB)
figS2.ppsx (281.56 KB)
What can human minimal videos tell us about dynamic recognition models?. International Conference on Learning Representations (ICLR 2020) (2020). at <https://baicsworkshop.github.io/pdf/BAICS_1.pdf>
Authors' final version (516.09 KB)
A model for full local image interpretation. Cognitive Science Society (2015).
Full object interpretation CogSci 2015 Print version.pdf (707.34 KB)
Image interpretation above and below the object level. (2018).
CBMM-Memo-089.pdf (2.06 MB)
Full interpretation of minimal images. (2017).
CBMM Memo 061 v.1 (4.64 MB)
CBMM Memo 061 v.2 (5.41 MB)
Full interpretation of minimal images. Cognition 171, 65-84 (2018).
Full interpretation of minimal images.pdf (4.55 MB)
Minimal videos: Trade-off between spatial and temporal information in human and machine vision. Cognition (2020). doi:10.1016/j.cognition.2020.104263
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