AAAI Papers
5,317 papers found • Page 94 of 107
Prompting Multi-Modal Image Segmentation with Semantic Grouping
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer
Yaoting Wang, Liu Weisong, Guangyao Li et al.
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation
Haibo Jin, Haoxuan Che, Yi Lin et al.
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
Longchao Da, Minquan Gao, Hua Wei et al.
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
Proportional Aggregation of Preferences for Sequential Decision Making
Nikhil Chandak, Shashwat Goel, Dominik Peters
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
Yusuf Kalayci, David Kempe, Vikram Kher
Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers
Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos et al.
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees
Rob Romijnders, Christos Louizos, Yuki Asano et al.
Provably Convergent Federated Trilevel Learning
Yang Jiao, Kai YANG, Tiancheng Wu et al.
Provably Powerful Graph Neural Networks for Directed Multigraphs
Beni Egressy, Luc von Niederhäusern, Jovan Blanuša et al.
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection
Joonhyun Jeong, Geondo Park, Jayeon Yoo et al.
Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens
SangHo Lee, Hayun Lee, Dongkun Shin
PRP Rebooted: Advancing the State of the Art in FOND Planning
Christian Muise, Sheila McIlraith, J. Christopher Beck
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
Lirong Wu, Yufei Huang, Cheng Tan et al.
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
Luyao Wang, Pengnian Qi, Xigang Bao et al.
PTMQ: Post-training Multi-Bit Quantization of Neural Networks
Ke Xu, Zhongcheng Li, Shanshan Wang et al.
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition
Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention
Ying-Yu Chen, Jun-Wei Hsieh, Xin Li et al.
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment
Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.
QAGait: Revisit Gait Recognition from a Quality Perspective
Zengbin Wang, Saihui Hou, Man Zhang et al.
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos
Yogesh Kumar, Saswat Mallick, Anand Mishra et al.
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
Chunyu Hu, Hong Zhang, Chao Liang et al.
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
Fang-Xiang Wu, Minghan Fu
QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis
Xingqiang Zhao, Hai Wan, Kunxun Qi
Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning
Bolun Zheng, Li Haoran, Quan Chen et al.
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Allen Chang, Matthew C. Fontaine, Serena Booth et al.
Quantifying and Analyzing Entity-Level Memorization in Large Language Models
Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen et al.
Quantum-Inspired Neural Network with Runge-Kutta Method
Zipeng Fan, Jing Zhang, Peng Zhang et al.
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation
Junwei Zhang, Ruifang He, Fengyu Guo et al.
QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters
Yushan Liu, Zili Wang, Ruifeng Yuan
Question Calibration and Multi-Hop Modeling for Temporal Question Answering
Chao Xue, Di Liang, Pengfei Wang et al.
R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Control Diffusion
Jinxiu Liu, Qi Liu
Racing Control Variable Genetic Programming for Symbolic Regression
Nan Jiang, Yexiang Xue
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation
Changsong Pang, Xieyuanli Chen, Yimin Liu et al.
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
Haiming Zhang, Xu Yan, Dongfeng Bai et al.
Rating-Based Reinforcement Learning
Devin White, Mingkang Wu, Ellen Novoseller et al.
Reachability of Fair Allocations via Sequential Exchanges
Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong et al.
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
Thong Nguyen, Xiaobao Wu, Xinshuai Dong et al.
Real3D the Curious Case of Neural Scene Degeneration
Dengsheng Chen, Jie Hu, Xiaoming Wei et al.
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
Recasting Regional Lighting for Shadow Removal
Yuhao Liu, Zhanghan Ke, Ke Xu et al.
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera
Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.
Reconciling Predictive and Statistical Parity: A Causal Approach
Drago Plecko, Elias Bareinboim
Rectangle Search: An Anytime Beam Search
Sofia Lemons, Wheeler Ruml, Rob Holte et al.
Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic
Maximilian Pflüger, David Tena Cucala, Egor Kostylev
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
Jun Sun, Xinxin Zhang, Shoukang Han et al.