Title
Position: AI Scaling: From Up to Down and Out Yunke Wang Yanxi Li Chang Xu HAI 71 1 0 02 Feb 2025
Evaluating multiple large language models in pediatric ophthalmology J. Holmes Rui Peng Yiwei Li Jinyu Hu Zheng Liu ... Wei Liu Hong Wei Jie Zou Tianming Liu Yi Shao AI4Ed ELM LM&MA 11 0 0 07 Nov 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations Gengchen Mai Ni Lao Yutong He Jiaming Song Stefano Ermon 75 53 0 01 May 2023
Maximizing Model Generalization for Machine Condition Monitoring with Self-Supervised Learning and Federated Learning Matthew Russell P. Wang FedML AI4CE 14 9 0 27 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong S. Hoi MLLM BDL VLM CLIP 385 4,010 0 28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 770 0 27 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
A Review of Location Encoding for GeoAI: Methods and Applications Gengchen Mai K. Janowicz Yingjie Hu Song Gao Bo Yan Rui Zhu Ling Cai Ni Lao 64 113 0 07 Nov 2021
User Scheduling for Federated Learning Through Over-the-Air Computation Xiang Ma Haijian Sun Qun Wang R. Hu FedML 24 21 0 05 Aug 2021
Automatic Firmware Emulation through Invalidity-guided Knowledge Inference (Extended Version) Wei Zhou Le Guan Peng Liu Yuqing Zhang 25 59 0 16 Jul 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 46 74 0 02 May 2021
Unifying Vision-and-Language Tasks via Text Generation Jaemin Cho Jie Lei Hao Tan Mohit Bansal MLLM 249 518 0 04 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 41 189 0 25 Jul 2020
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation Manish Sahu Ronja Strömsdörfer Anirban Mukhopadhyay S. Zachow 42 34 0 22 Jul 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation Kaiyang Zhou Yongxin Yang Timothy M. Hospedales Tao Xiang OOD 201 402 0 12 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 888 0 02 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 300 1,046 0 10 Feb 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015