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Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
Video demos, data, and code are available online.
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
Many practical settings call for the reconstruction of temporal signals from corrupted or missing data. Classic examples include decoding, tracking, signal enhancement and denoising.
DAGER: Exact Gradient Inversion for Large Language Models
However, prior work has shown that the data can actually be recovered by the server using so-called gradient inversion attacks.
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Recent work has shown that language models' (LMs) prompt-based learning capabilities make them well suited for automating data labeling in domains where manual annotation is expensive.
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback Marcel T orne 1,2 Max Balsells 3 Zihan Wang
This procedure can leverage noisy, asynchronous human feedback to learn policies with no hand-crafted reward design or exploration bonuses.
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
Empirically, we verify the computational efficiency of our methods.
