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Incorporating Rich Social Interactions Into MDPs. (2022).
CBMM-Memo-133.pdf (1.68 MB)

Trajectory Prediction with Linguistic Representations. (2022).
CBMM-Memo-132.pdf (1.15 MB)

Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. (2021).
CBMM-Memo-129.pdf (1.2 MB)

Compositional RL Agents That Follow Language Commands in Temporal Logic. (2021).
CBMM-Memo-127.pdf (2.12 MB)

Measuring Social Biases in Grounded Vision and Language Embeddings. (2021).
CBMM-Memo-126.pdf (1.32 MB)

Measuring Social Biases in Grounded Vision and Language Embeddings. NAACL (Annual Conference of the North American Chapter of the Association for Computational Linguistics) (2021).
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer. International Conference on Learning Representations (2021). at <https://openreview.net/forum?id=KtH8W3S_RE>
Neural Regression, Representational Similarity, Model Zoology Neural Taskonomy at Scale in Rodent Visual Cortex. (2021).
CBMM-Memo-131.pdf (9.37 MB)

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. (2021).
CBMM-Memo-123.pdf (3.08 MB)

Social Interactions as Recursive MDPs. (2021).
CBMM-Memo-130.pdf (1.52 MB)

Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset. (2021).
CBMM-Memo-128.pdf (2.91 MB)

Deep compositional robotic planners that follow natural language commands. (2020).
CBMM-Memo-124.pdf (1.03 MB)

Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. (2020).
CBMM-Memo-125.pdf (2.12 MB)

Learning a Natural-language to LTL Executable Semantic Parser for Grounded Robotics. (Proceedings of Conference on Robot Learning (CoRL-2020), 2020). at <https://corlconf.github.io/paper_385/>
Learning a natural-language to LTL executable semantic parser for grounded robotics. (2020). doi:https://doi.org/10.48550/arXiv.2008.03277
CBMM-Memo-122.pdf (1.03 MB)

PHASE: PHysically-grounded Abstract Social Eventsfor Machine Social Perception. Shared Visual Representations in Human and Machine Intelligence (SVRHM) workshop at NeurIPS 2020 (2020). at <https://openreview.net/forum?id=_bokm801zhx>
phase_physically_grounded_abstract_social_events_for_machine_social_perception.pdf (2.49 MB)

Learning Language from Vision. Workshop on Visually Grounded Interaction and Language (ViGIL) at the Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS) (2019).
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. Neural Information Processing Systems (NeurIPS 2019) (2019).
9142-objectnet-a-large-scale-bias-controlled-dataset-for-pushing-the-limits-of-object-recognition-models.pdf (16.31 MB)

Assessing Language Proficiency from Eye Movements in Reading. 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2018). at <http://naacl2018.org/>
1804.07329.pdf (350.43 KB)

Deep sequential models for sampling-based planning. The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) (2018). doi:10.1109/IROS.2018.8593947
kuo2018planning.pdf (637.67 KB)

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)

The Wiley Handbook of Human Computer Interaction 2, 539-559 (John Wiley & Sons , 2018).
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)
