Papers
11,955 papers found
Layer-wise linear mode connectivity
Linara Adilova, Maksym Andriushchenko, Michael Kamp et al.
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Zecheng Tang, Chenfei Wu, Juntao Li et al.
LCOT: Linear Circular Optimal Transport
Rocio P Diaz Martin, Ivan Vladimir Medri, Yikun Bai et al.
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani et al.
LEAP: Liberate Sparse-View 3D Modeling from Camera Poses
Hanwen Jiang, Zhenyu Jiang, Yue Zhao et al.
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction
Misha Andriluka, Baruch Tabanpour, Daniel Freeman et al.
Learning 3D Particle-based Simulators from RGB-D Videos
William F Whitney, Tatiana Lopez-Guevara, Tobias Pfaff et al.
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
Learning Conditional Invariances through Non-Commutativity
Abhra Chaudhuri, Serban Georgescu, Anjan Dutta
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
Kai Cui, Sascha H. Hauck, Christian Fabian et al.
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings
Ilyass Hammouamri, Ismail Khalfaoui-Hassani, Timothée Masquelier
Learning dynamic representations of the functional connectome in neurobiological networks
Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley et al.
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood
Yaxuan Zhu, Jianwen Xie, Ying Nian Wu et al.
Learning Energy Decompositions for Partial Inference in GFlowNets
Hyosoon Jang, Minsu Kim, Sungsoo Ahn
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho et al.
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Adel Javanmard, Lin Chen, Vahab Mirrokni et al.
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
Florian Frantzen, Michael T Schaub
Learning from Sparse Offline Datasets via Conservative Density Estimation
Zhepeng Cen, Zuxin Liu, Zitong Wang et al.
Learning Grounded Action Abstractions from Language
Lionel Wong, Jiayuan Mao, Pratyusha Sharma et al.
Learning Hierarchical Image Segmentation For Recognition and By Recognition
Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
Learning Hierarchical Polynomials with Three-Layer Neural Networks
Zihao Wang, Eshaan Nichani, Jason D. Lee
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
Christian Gumbsch, Noor Sajid, Georg Martius et al.
Learning in reverse causal strategic environments with ramifications on two sided markets
Seamus Somerstep, Yuekai Sun, Yaacov Ritov