The Slingshot Effect: A Late-Stage Optimization Anomaly in Adam-Family of Optimization Methods
Adaptive gradient methods, notably Adam, have become indispensable for optimizing neural networks, particularly in conjunction with Transformers. In this paper, we present a...
Personalizing Health and Fitness with Hybrid Modeling
Personalizing Health and Fitness with Hybrid Modeling
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Enhancing Paragraph Generation with a Latent Language Diffusion Model
Enhancing Paragraph Generation with a Latent Language Diffusion Model
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Construction of Paired Knowledge Graph – Text Datasets Informed by Cyclic Evaluation
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text...
Human Following in Mobile Platforms with Person Re-Identification
Human following serves an important human-robotics interaction feature, while real-world scenarios make it challenging particularly for a mobile agent. The main challenge is...
MotionPrint: Ready-to-Use, Device-Agnostic, and Location-Invariant Motion Activity Models
Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition. However, practitioners face significant obstacles when dealing...
Corpus Synthesis for Zero-shot ASR Domain Adaptation using Large Language Models
While Automatic Speech Recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to new domains and...
Randomized Algorithms for Precise Measurement of Differentially-private, Personalized
This paper was accepted at The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence.
Personalized recommendations form an important part of today's internet ecosystem, helping...
Moonwalk: Advancing Gait-Based User Recognition on Wearable Devices with Metric Learning
*=Equal Contributors
Personal devices have adopted diverse authentication methods, including biometric recognition and passcodes. In contrast, headphones have limited input mechanisms, depending solely on...
Vision-Based Hand Gesture Customization from a Single Demonstration
Hand gesture recognition is becoming a more prevalent mode of human-computer interaction, especially as cameras proliferate across everyday devices. Despite continued progress in...
