AAAI Papers

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

Huy Hoang, Tien Mai, Pradeep Varakantham

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization

Dongping Liao, Xitong Gao, Chengzhong Xu

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.

Implicit Modeling of Non-rigid Objects with Cross-Category Signals

Yuchun Liu, Benjamin Planche, Meng Zheng et al.

Improved Anonymous Multi Agent Path Finding Algorithm

Zain Alabedeen Ali, Konstantin Yakovlev

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility

Fang Kong, Shuai Li

Improved Graph Contrastive Learning for Short Text Classification

Yonghao Liu, Lan Huang, Fausto Giunchiglia et al.

Improved Metric Distortion via Threshold Approvals

Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett et al.

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Buqing Nie, Jingtian Ji, Yangqing Fu et al.

Improving Audio-Visual Segmentation with Bidirectional Generation

Dawei Hao, Yuxin Mao, Bowen He et al.

Improving Automatic VQA Evaluation Using Large Language Models

Oscar Mañas, Benno Krojer, Aishwarya Agrawal

Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning

Zhiyue Liu, Jinyuan Liu, Fanrong Ma

Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction

Qiqi Bao, Zheng Hui, Rui Zhu et al.

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

Kangkang Lu, Yanhua Yu, Hao Fei et al.

Improving Factual Error Correction by Learning to Inject Factual Errors

Xingwei He, Qianru Zhang, A-Long Jin et al.

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

James Kirk, Robert Wray, Peter Lindes et al.

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting

Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge

Sixing Wu, Jiong Yu, Jiahao Chen et al.

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