AAAI Papers

Bayesian Inference with Complex Knowledge Graph Evidence

12846 Armin Toroghi, Scott Sanner

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence

Zhecheng Sheng, Tianhao Zhang, Chen Jiang et al.

BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

Yuanyuan Mao, Xin Lin, Qin Ni et al.

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

Xiao Yun, Chenglong Xu, Kevin Riou et al.

BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change

Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.

Benchmarking Large Language Models in Retrieval-Augmented Generation

Jiawei Chen, Hongyu Lin, Xianpei Han et al.

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling

Jie Ruan, Xiao Pu, Mingqi Gao et al.

BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios

ZhiWei Lin, Yongtao Wang, Shengxiang Qi et al.

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding

Jingping Liu, Mingchuan Zhang, Weichen Li et al.

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms

Manon Flageat, Bryan Lim, Antoine Cully

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities

Hammad Ayyubi, Christopher Thomas, Lovish Chum et al.

Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition

Zhi ZHANG, Sheng-hua Zhong, Yan Liu

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

Jinxin Liu, Ziqi Zhang, Zhenyu Wei et al.

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning

Yanqi Ge, Qiang Nie, Ye Huang et al.

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

Yujun Chen, Xin Tan, Zhizhong Zhang et al.

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al.

Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video

Zhaobo Qi, Yibo Yuan, Xiaowen Ruan et al.

Bi-directional Adapter for Multimodal Tracking

Bing Cao, Junliang Guo, Pengfei Zhu et al.

Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution

Yifan Su, Rishi Veerapaneni, Jiaoyang Li

Big Learning Expectation Maximization

Yulai Cong, Sijia Li

Bilateral Gradual Semantics for Weighted Argumentation

Binding-Adaptive Diffusion Models for Structure-Based Drug Design

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang et al.

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

Yanjing Li, Sheng Xu, Mingbao Lin et al.

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu, Zhixuan Li, Tingting Jiang

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions

Wenbo Hu, Yifan Xu, Yi Li et al.

Block Image Compressive Sensing with Local and Global Information Interaction

Xiaoyu Kong, Yongyong Chen, Feng Zheng et al.

Block-Level Goal Recognition Design

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

Minjun Kim, SeungWoo Song, Youhan Lee et al.

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping

Qinliang Lin, Cheng Luo, Zenghao Niu et al.

Boosting Few

Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Weiping Lin, Zhenfeng Zhuang, Lequan Yu et al.

Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling

Shanshan Wang, Zhen Zeng, Xun Yang et al.

Boosting Residual Networks with Group Knowledge

Shengji Tang, Peng Ye, Baopu Li et al.

Bootstrapping Large Language Models for Radiology Report Generation

Chang Liu, Yuanhe Tian, Weidong Chen et al.

Box2Poly: Memory

Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text - Xuyang Chen, Dong Wang, Konrad Schindler et al.

Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA

Wentao Mo, Yang Liu

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need

Jiaxuan Chen, Yu Qi, Yueming Wang et al.

Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

Lingjun Zhang, Xinyuan Chen, Yaohui Wang et al.

B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation

Hao Wang, Qiang Song, Ruofeng Yin et al.

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning

Zizhao Wang, Caroline Wang, Xuesu Xiao et al.

Building Variable-Sized Models via Learngene Pool

Boyu Shi, Shiyu Xia, Xu Yang et al.

BVT-IMA: Binary Vision Transformer with Information-Modified Attention

Zhenyu Wang, Hao Luo, Xuemei Xie et al.

Cached Transformers: Improving Transformers with Differentiable Memory Cached

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.

CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition

Linhao Zhang, Li Jin, Guangluan Xu et al.