Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAsby Tianheng…
SELU: Self-Learning Embodied MLLMs in Unknown Environmentsby Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu,…
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representationsby Sameer Ambekar, Julia A.…
Quo Vadis, Motion Generation? From Large Language Models to Large Motion Modelsby Ye Wang, Sipeng…
Influence-oriented Personalized Federated Learningby Yue Tan, Guodong Long, Jing Jiang, Chengqi ZhangFirst submitted to arxiv…
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learningby Aaditya Naik, Jason Liu, Claire Wang, Amish…
Latent Abstractions in Generative Diffusion Modelsby Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro…
Make Interval Bound Propagation great againby Patryk Krukowski, Daniel Wilczak, Jacek Tabor, Anna Bielawska, Przemysław…
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantizationby Tung M. Luu, Thanh Nguyen,…
From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signalsby Davy…