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CBMM Memos were established in 2014 as a mechanism for our center to share research results with the wider scientific community. Click here to read more about the memos and to see a full list of the memos.

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Berzak, Y. et al. Universal Dependencies for Learner English. (2016).

memo-52_rev1.pdf (472.67 KB)

Berzak, Y., Barbu, A., Harari, D., Katz, B. & Ullman, S. Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. (2016).

memo-51.pdf (2.74 MB)

Berzak, Y., Nakamura, C., Flynn, S. & Katz, B. Predicting Native Language from Gaze. Annual Meeting of the Association for Computational Linguistics (ACL 2017) (2017).

Berzak, Y., Reichart, R. & Katz, B. 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).

Berzak, Y. et al. Treebank of Learner English (TLE). (2016). at <http://esltreebank.org/>

acl2016.pdf (163.86 KB)

Berzak, Y., Reichart, R. & Katz, B. Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL. (2016).

memo-50.pdf (493.74 KB)

Berzak, Y., Barbu, A., Harari, D., Katz, B. & Ullman, S. Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal. (2015).

Berzak, Y., Huang, Y., Barbu, A., Korhonen, A. & Katz, B. Anchoring and Agreement in Syntactic Annotations. (2016).

CBMM-Memo-055.pdf (768.54 KB)

Berrios, W. & Deza, A. 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>

Bergen, L., Levy, R. & Goodman, N. D. Pragmatic Reasoning through Semantic Inference. Semantics and Pragmatics Vol 9 (2016) , (2016).

BergenLevyGoodman2015.pdf (1.12 MB)

Bergen, L. & Goodman, N. D. The strategic use of noise in pragmatic reasoning. (2014).

Quality Early Learning: Nurturing Children's Potential. (The World Bank, 2022). doi:10.1596/978-1-4648-1795-3

Ben-Yosef, G., Assif, L., Harari, D. & Ullman, S. A model for full local image interpretation. Cognitive Science Society (2015).

Full object interpretation CogSci 2015 Print version.pdf (707.34 KB)

Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. (2017).

CBMM Memo 061 v.1 (4.64 MB)

CBMM Memo 061 v.2 (5.41 MB)

Ben-Yosef, G. & Ullman, S. 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)

Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. Cognition 171, 65-84 (2018).

Full interpretation of minimal images.pdf (4.55 MB)

Ben-Yosef, G., Yachin, A. & Ullman, S. 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)

Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. Cognition 171, 65 - 84 (2018).

Ben-Yosef, G., Kreiman, G. & Ullman, S. 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)

Ben-Yosef, G., Kreiman, G. & Ullman, S. 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)

Ben-Yosef, G. & Ullman, S. Image interpretation above and below the object level. (2018).

CBMM-Memo-089.pdf (2.06 MB)

Ben-Yosef, G., Yachin, A. & Ullman, S. Recognizing and Interpreting Social Interactions in Local Image Regions. The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA (2016).

Ben-Yosef, G. & Ullman, S. Image interpretation above and below the object level. Interface Focus 8, 20180020 (2018).

Ben-Yosef, G., Kreiman, G. & Ullman, S. Minimal videos: Trade-off between spatial and temporal information in human and machine vision. Cognition (2020). doi:10.1016/j.cognition.2020.104263

Belbute-Peres, Fde Avila, Smith, K. A., Allen, K., Tenenbaum, J. B. & Kolter, Z. End-to-end differentiable physics for learning and control. Advances in Neural Information Processing Systems 31 (NIPS 2018) (2018).

7948-end-to-end-differentiable-physics-for-learning-and-control.pdf (794.17 KB)

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