Europe
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Finally, we provide mathematical bounds on the interference between superposition channels in MIMOFormer.
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (PEFT) methods, offers a cost-effective alternative by fine-tuning an auxiliary low-rank model that has significantly fewer parameters.
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes
Most reinforcement learning (RL) algorithms hinge on the Markovian assumption, i.e. that the underlying system transitions and rewards are Markovian in some natural notion of (observable)
USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset
In this paper, we introduce the USCILab3D dataset, a large-scale, annotated outdoor dataset designed for versatile applications across multiple domains, including computer vision, robotics, and machine learning.
