Summary of On the Low-shot Transferability Of [v]-mamba, by Diganta Misra et al.
On the low-shot transferability of [V]-Mambaby Diganta Misra, Jay Gala, Antonio OrvietoFirst submitted to arxiv…
Summary of Featup: a Model-agnostic Framework For Features at Any Resolution, by Stephanie Fu et al.
FeatUp: A Model-Agnostic Framework for Features at Any Resolutionby Stephanie Fu, Mark Hamilton, Laura Brandt,…
Summary of Few-shot Class Incremental Learning with Attention-aware Self-adaptive Prompt, by Chenxi Liu et al.
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Promptby Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo…
Summary of Mm1: Methods, Analysis & Insights From Multimodal Llm Pre-training, by Brandon Mckinzie et al.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-trainingby Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier,…
Summary of Quiet-star: Language Models Can Teach Themselves to Think Before Speaking, by Eric Zelikman et al.
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speakingby Eric Zelikman, Georges Harik, Yijia…
Summary of Multi-objective Optimization Using Adaptive Distributed Reinforcement Learning, by Jing Tan et al.
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learningby Jing Tan, Ramin Khalili, Holger KarlFirst submitted to…
Summary of Zero-shot and Few-shot Generation Strategies For Artificial Clinical Records, by Erlend Frayling et al.
Zero-shot and Few-shot Generation Strategies for Artificial Clinical Recordsby Erlend Frayling, Jake Lever, Graham McDonaldFirst…
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 12 Mj Per Class On-device Online Few-shot Class-incremental Learning, by Yoga Esa Wibowo et al.
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learningby Yoga Esa Wibowo, Cristian Cioflan, Thorir…
Summary of Calf: Aligning Llms For Time Series Forecasting Via Cross-modal Fine-tuning, by Peiyuan Liu et al.
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuningby Peiyuan Liu, Hang Guo, Tao…