AAAI Papers

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Cheng Tan, Zhangyang Gao, Lirong Wu et al.

Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification

Zhen-Xiang Ma, Zhen-Duo Chen, Li-Jun Zhao et al.

Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval

Hailang Huang, Zhijie Nie, Ziqiao Wang et al.

Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering

Cross-Modal Match for Language Conditioned 3D Object Grounding

Yachao Zhang, Runze Hu, Ronghui Li et al.

Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition

Qi Rao, Ke Sun, Xiaohan Wang et al.

CR-SAM: Curvature Regularized Sharpness-Aware Minimization

Tao Wu, Tie Luo, Donald Wunsch

CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation including the Unseen

Hao Zhang, Fang Li, Lu Qi et al.

CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM

Xiaohan Li, Dong Liu, Jun Wu

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Chenyu Sun, Hangwei Qian, Chunyan Miao

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi et al.

Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization

Kaan Gokcesu, Hakan Gökcesu

Current Page

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu et al.

Curvature-Invariant Adversarial Attacks for 3D Point Clouds

Jianping Zhang, Wenwei Gu, Yizhan Huang et al.

Curved Representation Space of Vision Transformers

Juyeop Kim, Junha Park, Songkuk Kim et al.

Customizing Language Model Responses with Contrastive In-Context Learning

Xiang Gao, Kamalika Das

CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation

Hongyang Chen, Kaisheng Ma

CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series

Yuxiao Cheng, Lianglong Li, Tingxiong Xiao et al.

Cycle-Consistency Learning for Captioning and Grounding

Ning Wang, Jiajun Deng, Mingbo Jia

Cycle Self-Refinement for Multi-Source Domain Adaptation

Chaoyang Zhou, Zengmao Wang, Bo Du et al.

CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On

Chenghu Du, Junyin Wang, Yi Rong et al.

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Pengyue Jia, Yichao Wang, Shanru LIN et al.

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation

Dongpeng Hou, Chao Gao, Xuelong Li et al.

DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving

K. Hu, Tongbo Cao, Yuan Li et al.

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance

Yun Zhong, Yiannis Demiris

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Yang Yao, Xin Wang, Yijian Qin et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets

Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra et al.

Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition

Yijie Wang, Mingjian Hong, Luwen Huangfu et al.

Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions

Lvye Cui, Haoran Yu

Data-Free Generalized Zero-Shot Learning

Bowen Tang, Jing Zhang, Yan Long et al.

Data-Free Hard-Label Robustness Stealing Attack

Xiaojian Yuan, Kejiang Chen, Wen Huang et al.

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

Data Roaming and Quality Assessment for Composed Image Retrieval

Matan Levy, Rami Ben-Ari, Nir Darshan et al.

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

Dong Chen, Yueting Zhuang, Shuo Zhang et al.

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification

Xinyan Liang, Pinhan Fu, Qian Guo et al.

DDAE: Towards Deep Dynamic Vision BERT Pretraining

1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior

Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning

Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala

De-biased Attention Supervision for Text Classification with Causality

Yiquan Wu, Yifei Liu, Ziyu Zhao et al.

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yuhong Yang, Yanchun Xie et al.

Debiasing Multimodal Sarcasm Detection with Contrastive Learning

Mengzhao Jia, Can Xie, Liqiang Jing

DeblurSR: Event-Based Motion Deblurring under the Spiking Representation

Chen Song, Chandrajit Bajaj, Qixing Huang