Publication In-Context Learning Unlocked for Diffusion Models Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou NeurIPS 2023 | October 2023
Publication ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike, Yuqing Yang NeurIPS 2023 | October 2023
Publication Idempotent Learned Image Compression with Right-Inverse Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang NeurIPS 2023 | October 2023
Publication High Precision Causal Model Evaluation with Non-Randomized Trials Chao Ma, Cheng Zhang NeurIPS 2023 | October 2023
Publication Efficient Subgame Refinement for Extensive-form Games Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao NeurIPS 2023 | October 2023
Publication Conservative State Value Estimation for Offline Reinforcement Learning Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin 林庆维, Dongmei Zhang NeurIPS 2023 | October 2023
Publication Rank-DETR for High Quality Object Detection Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang NeurIPS 2023 | October 2023
Publication Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao NeurIPS 2023 | October 2023
Publication BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong NeurIPS 2023 | October 2023
Publication A Meta Learning Model for Scalable Hyperbolic Graph Neural Networks Nurendra Choudhary, Nikhil Rao, Chandan Reddy NeurIPS 2023 | October 2023