Summary of On Pretraining Data Diversity For Self-supervised Learning, by Hasan Abed Al Kader Hammoud et al.
On Pretraining Data Diversity for Self-Supervised Learningby Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio…
Summary of Real: Representation Enhanced Analytic Learning For Exemplar-free Class-incremental Learning, by Run He et al.
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learningby Run He, Huiping Zhuang, Di Fang,…
Summary of Tt-blip: Enhancing Fake News Detection Using Blip and Tri-transformer, by Eunjee Choi et al.
TT-BLIP: Enhancing Fake News Detection Using BLIP and Tri-Transformerby Eunjee Choi, Jong-Kook KimFirst submitted to…
Summary of Pretraining Codomain Attention Neural Operators For Solving Multiphysics Pdes, by Md Ashiqur Rahman et al.
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEsby Md Ashiqur Rahman, Robert Joseph George,…
Summary of Lookalike: Human Mimicry Based Collaborative Decision Making, by Rabimba Karanjai et al.
LookALike: Human Mimicry based collaborative decision makingby Rabimba Karanjai, Weidong ShiFirst submitted to arxiv on:…
Summary of Data-efficient Sleep Staging with Synthetic Time Series Pretraining, by Niklas Grieger et al.
Data-Efficient Sleep Staging with Synthetic Time Series Pretrainingby Niklas Grieger, Siamak Mehrkanoon, Stephan BialonskiFirst submitted…
Summary of Knowcoder: Coding Structured Knowledge Into Llms For Universal Information Extraction, by Zixuan Li et al.
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extractionby Zixuan Li, Yutao Zeng, Yuxin…
Summary of Lookupffn: Making Transformers Compute-lite For Cpu Inference, by Zhanpeng Zeng et al.
LookupFFN: Making Transformers Compute-lite for CPU inferenceby Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam,…
Summary of Sardet-100k: Towards Open-source Benchmark and Toolkit For Large-scale Sar Object Detection, by Yuxuan Li et al.
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detectionby Yuxuan Li, Xiang Li,…
Summary of Augmentations Vs Algorithms: What Works in Self-supervised Learning, by Warren Morningstar et al.
Augmentations vs Algorithms: What Works in Self-Supervised Learningby Warren Morningstar, Alex Bijamov, Chris Duvarney, Luke…