Summary of Zero-shot Reinforcement Learning Via Function Encoders, by Tyler Ingebrand et al.
Zero-Shot Reinforcement Learning via Function Encodersby Tyler Ingebrand, Amy Zhang, Ufuk TopcuFirst submitted to arxiv…
Summary of Reacllama: Merging Chemical and Textual Information in Chemical Reactivity Ai Models, by Aline Hartgers et al.
ReacLLaMA: Merging chemical and textual information in chemical reactivity AI modelsby Aline Hartgers, Ramil Nugmanov,…
Summary of Zero-shot Classification Using Hyperdimensional Computing, by Samuele Ruffino et al.
Zero-shot Classification using Hyperdimensional Computingby Samuele Ruffino, Geethan Karunaratne, Michael Hersche, Luca Benini, Abu Sebastian,…
Summary of Slicegpt: Compress Large Language Models by Deleting Rows and Columns, By Saleh Ashkboos et al.
SliceGPT: Compress Large Language Models by Deleting Rows and Columnsby Saleh Ashkboos, Maximilian L. Croci,…
Summary of Pix2gestalt: Amodal Segmentation by Synthesizing Wholes, By Ege Ozguroglu et al.
pix2gestalt: Amodal Segmentation by Synthesizing Wholesby Ege Ozguroglu, Ruoshi Liu, Dídac Surís, Dian Chen, Achal…
Summary of A Comparative Study Of Zero-shot Inference with Large Language Models and Supervised Modeling in Breast Cancer Pathology Classification, by Madhumita Sushil et al.
A comparative study of zero-shot inference with large language models and supervised modeling in breast…
Summary of How Good Is Chatgpt at Face Biometrics? a First Look Into Recognition, Soft Biometrics, and Explainability, by Ivan Deandres-tame et al.
How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and…
Summary of From Random to Informed Data Selection: a Diversity-based Approach to Optimize Human Annotation and Few-shot Learning, by Alexandre Alcoforado et al.
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot…
Summary of How Far Can 100 Samples Go? Unlocking Overall Zero-shot Multilingual Translation Via Tiny Multi-parallel Data, by Di Wu et al.
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Databy…
Summary of The Neglected Tails in Vision-language Models, by Shubham Parashar et al.
The Neglected Tails in Vision-Language Modelsby Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan…