ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networksby Zan Chaudhry,…
Probing the limitations of multimodal language models for chemistry and materials researchby Nawaf Alampara, Mara…
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Frameworkby Amirabbas Afzali,…
Distributed, communication-efficient, and differentially private estimation of KL divergenceby Mary Scott, Sayan Biswas, Graham Cormode,…
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiencyby Jerry Yao-Chieh Hu, Wei-Po Wang,…
Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillationby Muhammad Burhan Hafez, Kerim ErekmenFirst submitted to…
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Trainingby Weimin Wu, Maojiang Su,…
Representation Collapsing Problems in Vector Quantizationby Wenhao Zhao, Qiran Zou, Rushi Shah, Dianbo LiuFirst submitted…
Generating Out-Of-Distribution Scenarios Using Language Modelsby Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac…
Adversarial Attacks for Drift Detectionby Fabian Hinder, Valerie Vaquet, Barbara HammerFirst submitted to arxiv on:…