Papers
Hypotheses Tree Building for One-Shot Temporal Sentence Localization
Daizong Liu, Xiang Fang, Pan Zhou et al.
i-Code: An Integrative and Composable Multimodal Learning Framework
Ziyi Yang, Yuwei Fang, Chenguang Zhu et al.
Identification and Estimation of the Probabilities of Potential Outcome Types Using Covariate Information in Studies with Non-compliance
Yuta Kawakami, Ryusei Shingaki, Manabu Kuroki
Identify Event Causality with Knowledge and Analogy
Sifan Wu, Ruihui Zhao, Yefeng Zheng et al.
Identifying and Eliminating Majority Illusion in Social Networks
Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski et al.
Identifying Selection Bias from Observational Data
David Kaltenpoth, Jilles Vreeken
IdProv: Identity-Based Provenance for Synthetic Image Generation (Student Abstract)
Harshil Bhatia, Jaisidh Singh, Gaurav Sangwan et al.
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation
Juze Zhang, Ye Shi, Yuexin Ma et al.
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
Qiran Zou, Yu Yang, Wing Yin Cheung et al.
ImageNet Pre-training Also Transfers Non-robustness
Jiaming Zhang, Jitao Sang, Qi Yi et al.
Imbalanced Label Distribution Learning
Xingyu Zhao, Yuexuan An, Ning Xu et al.
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
Liang Zeng, Lanqing Li, Ziqi Gao et al.
I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee, Kijung Shin
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen, Ziyue Wang, Jun-Jie Huang et al.
Implementing Bounded Revision via Lexicographic Revision and C-revision
Meliha Sezgin, Gabriele Kern-Isberner
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks
Ye Li, Song-Can Chen, Sheng-Jun Huang
Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization
Yanhao Wang, Jiping Zheng, Fanxu Meng
Improved Algorithms for Maximum Satisfiability and Its Special Cases
Kirill Brilliantov, Vasily Alferov, Ivan Bliznets
Improved Kernel Alignment Regret Bound for Online Kernel Learning
Junfan Li, Shizhong Liao
Improvement-Focused Causal Recourse (ICR)
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract)
Anaelia Ovalle, Evan Czyzycki, Cho-Jui Hsieh
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Pengyue Hou, Jie Han, Xingyu Li
Improving Biomedical Entity Linking with Cross-Entity Interaction
Zhenran Xu, Yulin Chen, Baotian Hu
Improving Crowded Object Detection via Copy-Paste
Jiangfan Deng, Dewen Fan, Xiaosong Qiu et al.