Summary of Rankclip: Ranking-consistent Language-image Pretraining, by Yiming Zhang et al.
RankCLIP: Ranking-Consistent Language-Image Pretrainingby Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zhili Feng, Zenghui Ding, Yining…
Summary of Semantic Approach to Quantifying the Consistency Of Diffusion Model Image Generation, by Brinnae Bent
Semantic Approach to Quantifying the Consistency of Diffusion Model Image Generationby Brinnae BentFirst submitted to…
Summary of Megalodon: Efficient Llm Pretraining and Inference with Unlimited Context Length, by Xuezhe Ma et al.
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Lengthby Xuezhe Ma, Xiaomeng Yang, Wenhan…
Summary of Bert-lsh: Reducing Absolute Compute For Attention, by Zezheng Li et al.
BERT-LSH: Reducing Absolute Compute For Attentionby Zezheng Li, Kingston YipFirst submitted to arxiv on: 12…
Summary of Revealing Trends in Datasets From the 2022 Acl and Emnlp Conferences, by Jesse Atuhurra et al.
Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferencesby Jesse Atuhurra, Hidetaka KamigaitoFirst…
Summary of Adapterswap: Continuous Training Of Llms with Data Removal and Access-control Guarantees, by William Fleshman et al.
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guaranteesby William Fleshman, Aleem Khan,…
Summary of No “zero-shot” Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance, by Vishaal Udandarao et al.
No “Zero-Shot” Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performanceby Vishaal Udandarao, Ameya…
Summary of Noise Masking Attacks and Defenses For Pretrained Speech Models, by Matthew Jagielski et al.
Noise Masking Attacks and Defenses for Pretrained Speech Modelsby Matthew Jagielski, Om Thakkar, Lun WangFirst…
Summary of Bridging Remote Sensors with Multisensor Geospatial Foundation Models, by Boran Han et al.
Bridging Remote Sensors with Multisensor Geospatial Foundation Modelsby Boran Han, Shuai Zhang, Xingjian Shi, Markus…
Summary of Nerf-mae: Masked Autoencoders For Self-supervised 3d Representation Learning For Neural Radiance Fields, by Muhammad Zubair Irshad et al.
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fieldsby Muhammad Zubair Irshad,…