Papers
Interventional Causal Discovery in a Mixture of DAGs
Burak Varıcı, Dmitriy A. Katz, Dennis Wei et al.
Interventionally Consistent Surrogates for Complex Simulation Models
Joel Dyer, Nicholas Bishop, Yorgos Felekis et al.
Intervention and Conditioning in Causal Bayesian Networks
Sainyam Galhotra, Joseph Y. Halpern
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng, Hongzhi Wang, Xianglong Liu
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
Wei Tang, Haifeng Xu, Ruimin Zhang et al.
Intrinsic Self-Supervision for Data Quality Audits
Fabian Gröger, Simone Lionetti, Philippe Gottfrois et al.
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting
Bong Gyun Kang, Dongjun Lee, HyunGi Kim et al.
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
Runlin Lei, Yuwei Hu, Yuchen Ren et al.
Invariant subspaces and PCA in nearly matrix multiplication time
Aleksandros Sobczyk, Marko Mladenović, Mathieu Luisier
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
Keqiang Yan, Xiner Li, Hongyi Ling et al.
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui, Tien Mai, Thanh Hong Nguyen
Inversion-based Latent Bayesian Optimization
Jaewon Chu, Jinyoung Park, Seunghun Lee et al.
InversionView: A General-Purpose Method for Reading Information from Neural Activations
Xinting Huang, Madhur Panwar, Navin Goyal et al.
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko et al.
Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao, Kexun Zhang, Zihao Su et al.
IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
Zai-Zuo Tang, Yu-Bin Yang
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs
Xi Gao, Jinxin Xiong, Akang Wang et al.
IPO: Interpretable Prompt Optimization for Vision-Language Models
Yingjun Du, Wenfang Sun, Cees G. M. Snoek
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
Ruosen Li, Ruochen Li, Barry Wang et al.
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons
Dan Shi, Renren Jin, Tianhao Shen et al.
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
Xiaoxuan Gong, Jie Ma
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
Jiayu Wang, Yifei Ming, Zhenmei Shi et al.