High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Lawsby M. Emrullah Ildiz, Halil Alperen…
Interpretable Representation Learning from Videos using Nonlinear Priorsby Marian Longa, João F. HenriquesFirst submitted to…
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signalsby Srihari Kamesh Kompella, Kemal…
CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activationby Qinsi Wang, Saeed Vahidian,…
ALTA: Compiler-Based Analysis of Transformersby Peter Shaw, James Cohan, Jacob Eisenstein, Kenton Lee, Jonathan Berant,…
Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reductionby Nithin Somasekharan,…
Entity-based Reinforcement Learning for Autonomous Cyber Defenceby Isaac Symes Thompson, Alberto Caron, Chris Hicks, Vasilios…
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regressionby Tin Sum Cheng, Aurelien…
Mitigating Graph Covariate Shift via Score-based Out-of-distribution Augmentationby Bohan Wang, Yurui Chang, Lu LinFirst submitted…
Understanding Transfer Learning via Mean-field Analysisby Gholamali Aminian, Łukasz Szpruch, Samuel N. CohenFirst submitted to…