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Showing papers from Honda Research Institute Show all papers

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NeurIPS 2026PurdueJohns HopkinsHonda Research InstituteHonda Research Institution USVideo understanding

Adaptive Residual Quantization for Memory-Efficient Temporal Action Segmentation

Gerard L Donahue, Guven Gergerli, Ayush Gupta, Reza Ghoddoosian and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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71%Highly rated
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NeurIPS 2026Cortical LabsHonda Research InstituteTether Evo, Tether OperationsRoyal Melbourne Institute of TecCortical Labs Pty LtdDeep RL

Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation

The Embodied Neurocomputation framework optimizes biological neural network encoding for closed-loop navigation, identifying 12 configurations that outperform silicon DQN agents under identical interaction budgets.

Johnson Zhou, Daniel Tanneberg, Forough Habibollahi, Alon Loeffler and 11 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 1/5
83%Must read
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NeurIPS 2026U Texas at AustinHonda Research Institute USA IncHonda Research Institute USAHonda Research Institute, USHonda Research InstituteAdversarial robustness

Learning Robust Reasoning through Guided Adversarial Self-Play

GASP trains reasoning models via adversarial self-play to detect and repair corrupted reasoning contexts, producing robust reasoners that withstand misleading contexts while improving clean accuracy.

Shuozhe Li, Vaishnav Tadiparthi, Kwonjoon Lee, Nakul Agarwal and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5