Subscribe to this collection to receive daily e-mail notification of new additions

	Title	Author(s)	Issue Date	Views
	Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing Proceeding/Conference:Proceedings of the AAAI Conference on Artificial Intelligence	Li, JinyangHui, BinyuanCheng, ReynoldQin, BowenMa, ChenhaoHuo, NanHuang, FeiDu, WenyuSi, LuoLi, Yongbin	26-Jun-2023
	Development and validation of risk prediction model for cardiovascular risk among Chinese in Hong Kong: P-CARDIAC Proceeding/Conference:17th International Symposium on Health Ageing (09/09/2023-10/09/2023, , , Hong Kong)	Chui, Sze Ling CelineLin, JiaxiZHOU, YekaiLuo, Ruibang	9-Sep-2023
	Open-vocabulary Panoptic Segmentation with Embedding Modulation Proceeding/Conference:IEEE International Conference on Computer Vision 2023 (02/10/2023-06/10/2023, Paris)	Chen, XiLi, ShuangLim, Ser-NamTorralba, AntonioZhao, Hengshuang	2-Oct-2023
	Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models Proceeding/Conference:NeurIPS (10/12/2023-16/12/2023, New Orleans)	Zhao, SChen, DChen, Y-CBao, JHao, SYuan, LWong, K-Y K	10-Dec-2023
	LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization Proceeding/Conference:the 29th ACM SIGPLAN Annual Sympo- sium Principles and Practice of Parallel Programming (PPoPP’24) (02/03/2024-06/03/2024, Edinburgh)	Zhao, JuntaoWan, BoruiWu, ChuanPeng, YanghuaLin, Haibin	2-Mar-2024
	Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning Proceeding/Conference:IEEE International Conference on Computer Communications (INFOCOM) 2024 (20/05/2024-23/05/2024, Vancouver)	Du, BingqianLiu, JunLuo, ZiyueWu, ChuanZhang, QiankunJin, Hai	20-May-2024
	Online Matching with Stochastic Rewards: Advanced Analyses Using Configuration Linear Programs Proceeding/Conference:19th Conference on Web and Internet Economics (04/12/2023-06/12/2023, Shanghai)	Huang, ZhiyiJiang, HanruiShen, AochengSong, JunkaiWu, ZhiangZhang, Qiankun	4-Dec-2023
	Online Nash Welfare Maximization Without Predictions Proceeding/Conference:19th Conference on Web and Internet Economics (04/12/2023-06/12/2023, Shanghai)	Huang, ZhiyiLi, MinmingShu, XinkaiWei, Tianze	4-Dec-2023
	SOTER: Guarding Black-box Inference for General Neural Networks at the Edge Proceeding/Conference:2022 USENIX Annual Technical Conference (11/07/2022-13/07/2022, Carlsbad)	Shen, TianxiangQi, JiJiang, JianyuWang, XianWen, SiyuanChen, XushengZhao, ShixiongWang, SenChen, LiLuo, XiapuZhang, FengweiCui, Heming	13-Jul-2022
	Neighborhood Collective Estimation for Noisy Label Identification and Correction Proceeding/Conference:Lecture Notes in Computer Science	Li, JichangLi, GuanbinLiu, FengYu, Yizhou	23-Oct-2022
	CCIL: Context-conditioned imitation learning for urban driving Proceeding/Conference:Robotics: Science and Systems (10/07/2023-14/07/2023, Daegu)	Guo, KeJing, WeiChen, JunboPan, Jia	4-Jul-2023
	CorresNeRF: Image Correspondence Priors for Neural Radiance Fields Proceeding/Conference:Neural Information Processing Systems 2023 (10/12/2023-16/12/2023, , , New Orleans)	Lao, YixingXu, XiaogangCai, ZhipengLiu, XihuiZhao, Hengshuang	10-Dec-2023
	The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift Proceeding/Conference:Advances in Neural Information Processing Systems (28/11/2022-09/12/2022, New Orleans)	Wu, JingfengZou, DifanBraverman, VladimirGu, QuanquanKakade, and Sham M	12-Dec-2022
	The Benefits of Mixup for Feature Learning Proceeding/Conference:Fortieth International Conference on Machine Learning (ICML) (23/07/2023-29/07/2023, Honolulu, Hawaii, USA)	Zou, DifanCao, YuanLi, YuanzhiGu, Quanquan	23-Jul-2023
	AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Proceeding/Conference:International Conference on Machine Learning (23/07/2023-29/07/2023, Honolulu, Hawaii)	Liang, ZhixuanMu, YaoDing, MingyuNi, FeiTomizuka, MasayoshiLuo, Ping	23-Jul-2023
	Augmenting Message Passing by Retrieving Similar Graphs Proceeding/Conference:European Conference on Artificial Intelligence	Wang, DingminLiu, ShengchaoWang, HanchenSong, LinfengTang, JianLe, SongGrau, Bernardo CuencaLiu, Qi	1-Jul-2023
	A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning Proceeding/Conference:Federated Learning 2020 (01/12/2020-01/12/2020)	Cong, MingshuYu, HanWeng, XiYiu, Siu-Ming	1-Dec-2020
	Structured Pruning for Efficient Generative Pre-trained Language Models Proceeding/Conference:Annual Meeting of the Association for Computational Linguistics - ACL 2023 (09/07/2023-14/07/2023, , , Toronto, Canada)	Tao, ChaofanHou, LuBai, HaoliWei, JianshengJiang, XinLiu, QunLuo, PingWong, Ngai	9-Jul-2023
	TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation Proceeding/Conference:Neural Information Processing Systems 2023 (10/12/2023-16/12/2023, , , New Orleans)	Zheng, RongkunQi, LuChen, XiWang, YiWang, KunQiao, YuZhao, Hengshuang	10-Dec-2023
	FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models Proceeding/Conference:Neural Information Processing Systems 2023 (10/12/2023-16/12/2023, , , New Orleans)	Yang, LiheXu, XiaogangKang, BingyiShi, YinghuanZhao, Hengshuang	10-Dec-2023