Papers
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan Liao, Qi Wu, Xing Yan
Inverse Weight-Balancing for Deep Long-Tailed Learning
Wenqi Dang, Zhou Yang, Weisheng Dong et al.
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang et al.
Investigation into Training Dynamics of Learned Optimizers (Student Abstract)
Jan Sobotka, Petr Šimánek
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain
Linkun Fan, Fazhi He, Tongzhen Si et al.
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples
Dongha Kim, Yongchan Choi, Kunwoong Kim et al.
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives
R. Teal Witter, Lucas Rosenblatt
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data
Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle et al.
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking
Wei Zong, Yang-Wai Chow, Willy Susilo et al.
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance
Haoyang Chen, Peiyan Sun, Qiyuan Song et al.
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning
Mingjin Zhang, Handi Yang, Jie Guo et al.
Is a Large Language Model a Good Annotator for Event Extraction?
Ruirui Chen, Chengwei Qin, Weifeng Jiang et al.
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
Hongyi He, Longjun Liu, Haonan Zhang et al.
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
Yin Zhang, Yongqiang Zhang, Zian Zhang et al.
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Yiwen Chen, Chi Zhang, Xiaofeng Yang et al.
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan et al.
Iterative Token Evaluation and Refinement for Real-World Super-resolution
Chaofeng Chen, Shangchen Zhou, Liang Liao et al.
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction
Xu Huang, Chuyao Luo, Bowen Zhang et al.
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.
Joint Demosaicing and Denoising for Spike Camera
Yanchen Dong, Ruiqin Xiong, Jing Zhao et al.
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
Minghui Liao, Guojia Wan, Bo Du
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
Yifu Cai, Arvind Srinivasan, Mononito Goswami et al.
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
Yuheng Chen, Pengfei Cao, Yubo Chen et al.