ICLR

Transformer Meets Twicing: Harnessing Unattended Residual Information

Laziz Abdullaev, Tan M. Nguyen

机构 * Department of Mathematics National University of Singapore（数学系国立新加坡大学） 纠错

Comments 10 pages in the main text. Published at ICLR 2025

Effects of Feature Correlations on Associative Memory Capacity

Stefan Bielmeier, Gerald Friedland

机构 * Department of Computer Science and Electrical Engineering University of California, Berkeley（计算机科学与电气工程系加州大学伯克利分校） 纠错

Comments Accepted at ICLR 2025 "New Frontiers in Associative Memories" Workshop. Code: https://github.com/stefanbielmeier/feature-correlations-am

Range, not Independence, Drives Modularity in Biologically Inspired Representations

Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter E Latham, Tim EJ Behrens, James CR Whittington

机构 * Department of XXX, University of YYY, Location, Country（XXX系，YYY大学，地点，国家） ； School of ZZZ, Institute of WWW, Location, Country（ZZZ学院，WWW研究所，地点，国家） 纠错

Comments 37 pages, 12 figures. WD and KH contributed equally; LH and JHL contributed equally

Journal ref Proceedings of the 13th International Conference on Learning Representations, 2025

InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior

Chenguo Lin, Yuchen Lin, Panwang Pan, Xuanyang Zhang, Yadong Mu

机构 * Wangxuan Institute of Computer Technology, Peking University（北京大学王轩计算机技术研究所） ； PICO AI group, ByteDance（字节跳动PICO AI团队） 纠错

Comments Accepted to T-PAMI 2025. This paper is an extension of ICLR 2024 "InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior". arXiv admin note: substantial text overlap with arXiv:2402.04717