Summary of Cross-architecture Transfer Learning For Linear-cost Inference Transformers, by Sehyun Choi
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformersby Sehyun ChoiFirst submitted to arxiv on: 3 Apr…
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformersby Sehyun ChoiFirst submitted to arxiv on: 3 Apr…
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimizationby Tobias Schnabel, Jennifer…
ImageNot: A contrast with ImageNet preserves model rankingsby Olawale Salaudeen, Moritz HardtFirst submitted to arxiv…
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learningby Jonathan C.…
Transfer Learning with Point Transformersby Kartik Gupta, Rahul Vippala, Sahima SrivastavaFirst submitted to arxiv on:…
Machine Learning Robustness: A Primerby Houssem Ben Braiek, Foutse KhomhFirst submitted to arxiv on: 1…
Noise-Aware Training of Layout-Aware Language Modelsby Ritesh Sarkhel, Xiaoqi Ren, Lauro Beltrao Costa, Guolong Su,…
Transfer Learning with Reconstruction Lossby Wei Cui, Wei YuFirst submitted to arxiv on: 31 Mar…
Minimum-Norm Interpolation Under Covariate Shiftby Neil Mallinar, Austin Zane, Spencer Frei, Bin YuFirst submitted to…
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labelsby…