Summary of Self-calibrated Tuning Of Vision-language Models For Out-of-distribution Detection, by Geng Yu et al.
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detectionby Geng Yu, Jianing Zhu, Jiangchao Yao, Bo…
Summary of Enhancing Transformer Training Efficiency with Dynamic Dropout, by Hanrui Yan et al.
Enhancing Transformer Training Efficiency with Dynamic Dropoutby Hanrui Yan, Dan ShaoFirst submitted to arxiv on:…
Summary of Carbon Price Fluctuation Prediction Using Blockchain Information a New Hybrid Machine Learning Approach, by H. Wang et al.
Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approachby H. Wang,…
Summary of Seq-vcr: Preventing Collapse in Intermediate Transformer Representations For Enhanced Reasoning, by Md Rifat Arefin et al.
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoningby Md Rifat Arefin, Gopeshh Subbaraj,…
Summary of Exploring the Landscape For Generative Sequence Models For Specialized Data Synthesis, by Mohammad Zbeeb et al.
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesisby Mohammad Zbeeb, Mohammad Ghorayeb,…
Summary of Achieving Domain-independent Certified Robustness Via Knowledge Continuity, by Alan Sun et al.
Achieving Domain-Independent Certified Robustness via Knowledge Continuityby Alan Sun, Chiyu Ma, Kenneth Ge, Soroush VosoughiFirst…
Summary of A General Recipe For Contractive Graph Neural Networks — Technical Report, by Maya Bechler-speicher and Moshe Eliasof
A General Recipe for Contractive Graph Neural Networks – Technical Reportby Maya Bechler-Speicher, Moshe EliasofFirst…
Summary of Analysis Of Regularized Federated Learning, by Langming Liu and Dingxuan Zhou
Analysis of regularized federated learningby Langming Liu, Dingxuan ZhouFirst submitted to arxiv on: 3 Nov…
Summary of Enhancing Neural Network Interpretability with Feature-aligned Sparse Autoencoders, by Luke Marks et al.
Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencodersby Luke Marks, Alasdair Paren, David Krueger, Fazl…
Summary of Efficient Sparse Training with Structured Dropout, by Andy Lo
Efficient Sparse Training with Structured Dropoutby Andy LoFirst submitted to arxiv on: 2 Nov 2024CategoriesMain:…