Papers
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen, Elan Rosenfeld, Mark Sellke et al.
Iterative Scene Graph Generation
Siddhesh Khandelwal, Leonid Sigal
Iterative Structural Inference of Directed Graphs
Aoran Wang, Jun Pang
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search
Archit Bansal, Danny Stoll, Maciej Janowski et al.
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
Drew Prinster, Anqi Liu, Suchi Saria
Joint Entropy Search For Maximally-Informed Bayesian Optimization
Carl Hvarfner, Frank Hutter, Luigi Nardi
Joint Entropy Search for Multi-Objective Bayesian Optimization
Ben Tu, Axel Gandy, Nikolas Kantas et al.
Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation
Hyeokjun Kweon, Kuk-Jin Yoon
Jump Self-attention: Capturing High-order Statistics in Transformers
Haoyi Zhou, Siyang Xiao, Shanghang Zhang et al.
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
Alexander Korotin, Alexander Kolesov, Evgeny Burnaev
Kernel Interpolation with Sparse Grids
Mohit Yadav, Daniel R. Sheldon, Cameron Musco
Kernel Memory Networks: A Unifying Framework for Memory Modeling
Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner
Kernel Multimodal Continuous Attention
Alexander Moreno, Zhenke Wu, Supriya Nagesh et al.
Kernel similarity matching with Hebbian networks
Kyle Luther, Sebastian Seung
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge et al.
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
Xiang Gu, Yucheng Yang, Wei Zeng et al.
K-LITE: Learning Transferable Visual Models with External Knowledge
Sheng Shen, Chunyuan Li, Xiaowei Hu et al.
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang, Yi.shi Xu, Miaoge Li et al.
Knowledge Distillation: Bad Models Can Be Good Role Models
Gal Kaplun, Eran Malach, Preetum Nakkiran et al.
Knowledge Distillation from A Stronger Teacher
Tao Huang, Shan You, Fei Wang et al.
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
Lirong Wu, Haitao Lin, Yufei Huang et al.
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
Dong-Hee Paek, SEUNG-HYUN KONG, Kevin Tirta Wijaya
KSD Aggregated Goodness-of-fit Test
Antonin Schrab, Benjamin Guedj, Arthur Gretton
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels
Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue, Chunhui Zhang, Chuxu Zhang et al.