A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Expertsby Mohammed Nowaz Rabbani Chowdhury,…
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representationby Yeachan Park, Minseok Kim, Yeoneung…
Comments on Friedman’s Method for Class Distribution Estimationby Dirk TascheFirst submitted to arxiv on: 26…
RLSF: Reinforcement Learning via Symbolic Feedbackby Piyush Jha, Prithwish Jana, Pranavkrishna Suresh, Arnav Arora, Vijay…
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guaranteesby Yilei Chen, Vittorio Giammarino, James Queeney,…
Mixture of Latent Experts Using Tensor Productsby Zhan Su, Fengran Mo, Prayag Tiwari, Benyou Wang,…
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classificationby Jiachen Chen, Danyang Huang,…
A Systematic Review of Federated Generative Modelsby Ashkan Vedadi Gargary, Emiliano De CristofaroFirst submitted to…
Toward Digitalization: A Secure Approach to Find a Missing Person Using Facial Recognition Technologyby Abid…
gzip Predicts Data-dependent Scaling Lawsby Rohan PandeyFirst submitted to arxiv on: 26 May 2024CategoriesMain: Computation…