Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspectiveby Jingren Liu, Zhong Ji, YunLong…
Path Following and Stabilisation of a Bicycle Model using a Reinforcement Learning Approachby Sebastian Weyrer,…
Quantum Supervised Learningby Antonio MacalusoFirst submitted to arxiv on: 24 Jul 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challengesby Zahraa Al…
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Samplingby Wei Guo, Molei Tao, Yongxin…
Functional Acceleration for Policy Mirror Descentby Veronica Chelu, Doina PrecupFirst submitted to arxiv on: 23…
Computable learning of natural hypothesis classesby Matthew Harrison-Trainor, Syed AkbariFirst submitted to arxiv on: 23…
KAN or MLP: A Fairer Comparisonby Runpeng Yu, Weihao Yu, Xinchao WangFirst submitted to arxiv…
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Seriesby Bach Viet Do, Xingyu Li, Chaoye…
Can time series forecasting be automated? A benchmark and analysisby Anvitha Thirthapura Sreedhara, Joaquin VanschorenFirst…