Publication Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin NeurIPS 2023 | October 2023
Publication Q-DM: An Efficient Low-bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, Xiao Sun NeurIPS 2023 | October 2023
Publication Closing the gap between the upper bound and lower bound of Adam’s iteration complexity Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen NeurIPS 2023 | October 2023
Publication Clifford Group Equivariant Neural Networks David Ruhe, Johannes Brandstetter, Patrick Forré NeurIPS 2023 | October 2023
Publication Evaluating Cognitive Maps and Planning in Large Language Models with CogEval Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson NeurIPS 2023 | October 2023
Publication FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam Neural Information Processing Systems (NeurIPS) | October 2023
Publication On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong NeurIPS 2023 | October 2023
Publication Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang NeurIPS 2023 | October 2023
Publication Augmenting Language Models with Long-Term Memory Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei NeurIPS 2023 | October 2023
Publication Meet in the Middle: A New Pre-training Paradigm Anh Nguyen, Nikos Karampatziakis, Weizhu Chen NeurIPS 2023 | October 2023