Paper Papers

Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge

Seong-Tae Kim, Hyungil Kim, Y. Ro

Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation

Zhengyi Li, Menglu Li, Lida Zhu et al.

Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields

BOYU Chen, Wei-Chen Chiu, Yu-Lun Liu

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection

Jianping Zhang, Yizhan Huang, Zhuoer Xu et al.

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

Jiaan Wang, JIanfeng Qu, Kexin Wang et al.

Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation

Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding

Inconsistency-Based Data-Centric Active Open-Set Annotation

Ruiyu Mao, Ouyang Xu, Yunhui Guo

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion

Independency Adversarial Learning for Cross-Modal Sound Separation

Zhenkai Lin, Yanli Ji, Yang Yang

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data

Junjie Liang, Weijieying Ren, Sahar Hanifi et al.

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeIL Oh

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy

Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.

Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation

Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.

Influential Exemplar Replay for Incremental Learning in Recommender Systems

Xinni Zhang, Yankai Chen, Chenhao Ma et al.

Information Design for Congestion Games with Unknown Demand

Svenja M. Griesbach, Martin Hoefer, Max Klimm et al.

INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.

In-Hand 3D Object Reconstruction from a Monocular RGB Video

Shijian Jiang, Qi Ye, Rengan Xie et al.

Input Margins Can Predict Generalization Too

Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H Davel

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks

Tong Wang, Yuan Yao, Feng Xu et al.

Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning

Yang Jiao, Zequn Jie, Shaoxiang Chen et al.

Instance-Conditional Timescales of Decay for Nonstationary Learning

Nishant Jain, Pradeep Shenoy

InstructDoc: A Dataset for Zero

Shot Generalization of Visual Document Understanding with Instructions - Ryota Tanaka, Taichi Iki, Kyosuke Nishida et al.

Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders

Debo Cheng, Ziqi Xu, Jiuyong Li et al.

Integer Is Enough: When Vertical Federated Learning Meets Rounding

Pengyu Qiu, Yuwen Pu, Yongchao Liu et al.

Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision

Weibo Gao, Qi Liu, Hao Wang et al.

Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process

Idan Toker, David Sarne, Jonathan Schler

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Joseph Giovanelli, Alexander Tornede, Tanja Tornede et al.

Interactive Visual Task Learning for Robots

Interpretable3D: An Ad

Hoc Interpretable Classifier for 3D Point Clouds - Tuo Feng, Ruijie Quan, Xiaohan Wang et al.

InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning

Jinshan Zeng, Xianchao Tong, Xianglong Yu et al.

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng et al.

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.

Intrinsic Phase-Preserving Networks for Depth Super Resolution

Xuanhong Chen, Hang Wang, Jinfan Liu et al.

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.

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

Dongha Kim, Yongchan Choi, Kunwoong Kim 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

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, Xiaotong Yuan et al.

Iterative Token Evaluation and Refinement for Real-World Super-resolution

Authors: Chaofeng Chen, Shangchen Zhou, Liang Liao et al.

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al.