Papers
Iterative Connecting Probability Estimation for Networks
Yichen Qin, Linhan Yu, Yang Li
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Terrance Liu, Giuseppe Vietri, Steven Z. Wu
Iterative Teacher-Aware Learning
Luyao Yuan, Dongruo Zhou, Junhong Shen et al.
Iterative Teaching by Label Synthesis
Weiyang Liu, Zhen Liu, Hanchen Wang et al.
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
Regev Cohen, Yochai Blau, Daniel Freedman et al.
Joint inference and input optimization in equilibrium networks
Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester et al.
Joint Inference for Neural Network Depth and Dropout Regularization
Kishan K C, Rui Li, MohammadMahdi Gilany
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Minghao Xu, Meng Qu, Bingbing Ni et al.
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
Jingjing Li, Wei Ji, Qi Bi et al.
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser, Michael Arbel, Arthur Gretton
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Mandela Patrick, Dylan Campbell, Yuki Asano et al.
Kernel Functional Optimisation
Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana et al.
Kernel Identification Through Transformers
Fergus Simpson, Ian Davies, Vidhi Lalchand et al.
K-level Reasoning for Zero-Shot Coordination in Hanabi
Brandon Cui, Hengyuan Hu, Luis Pineda et al.
K-Net: Towards Unified Image Segmentation
Wenwei Zhang, Jiangmiao Pang, Kai Chen et al.
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan, Siddharth Swaroop
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
Shoulong Zhang, shuai li, Aimin Hao et al.
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
YU HAO, Xin Cao, Yufan Sheng et al.
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
Jiaqi Gu, Hanqing Zhu, Chenghao Feng et al.
Label consistency in overfitted generalized $k$-means
Linfan Zhang, Arash Amini
Label Disentanglement in Partition-based Extreme Multilabel Classification
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu et al.
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak et al.
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang, Pan Li, Yinglong Xia et al.
Label Noise SGD Provably Prefers Flat Global Minimizers
Alex Damian, Tengyu Ma, Jason Lee