AAAI 2024 Papers
2,289 papers found • Page 2 of 46
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution
Xiaotong Luo, zekun Ai, Qiuyuan Liang et al.
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
Zhiyuan Ma, Guoli Jia, Bowen Zhou
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
Shengrui Li, Xueting Han, Jing Bai
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
Thomy Phan, Taoan Huang, Bistra Dilkina et al.
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen, Peixi Peng, Yangru Huang et al.
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
Jingyu Pu, Chenhang Cui, Xinyue Chen et al.
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
Jing Wang, Jiangyun Li, Chen Chen et al.
Adaptive Graph Learning for Multimodal Conversational Emotion Detection
Geng Tu, Tian Xie, Bin Liang et al.
Adaptive Hardness Negative Sampling for Collaborative Filtering
Riwei Lai, Rui Chen, Qilong Han et al.
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
Mengmeng Sheng, Zeren Sun, Zhenhuang Cai et al.
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction
Jianping Zhu, Xin Guo, Yang Chen et al.
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models
Qingyi Liu, Jinghui Qin, Wenxuan Ye et al.
Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories
Andoni Rodríguez, César Sánchez
Adaptive Shortcut Debiasing for Online Continual Learning
Doyoung Kim, Dongmin Park, Yooju Shin et al.
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval
Shenshen Li, Chen He, Xing Xu et al.
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
Lei Li, Jianxun Lian, Xiao Zhou et al.
A Diffusion-Based Framework for Multi-Class Anomaly Detection
Haoyang He, Jiangning Zhang, Hongxu Chen et al.
A Diffusion-Based Pre-training Framework for Crystal Property Prediction
Zixing Song, Ziqiao Meng, Irwin King
A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging
Liya Ji, ZheFan Rao, Sinno Jialin Pan et al.
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Yudong Gao, Honglong Chen, Peng Sun et al.
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
Shezheng Song, Shan Zhao, ChengYu Wang et al.
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
Fangjun Li, David C. Hogg, Anthony G. Cohn
Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model
Yuxuan Liu, Haizhou Ai, Junliang Xing et al.
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
Decheng Liu, Xijun Wang, Chunlei Peng et al.
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
Ruixiao Zhang, Tianchi Huang
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty et al.
Adversarially Balanced Representation for Continuous Treatment Effect Estimation
Amirreza Kazemi, Martin Ester
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang, Zhiwei Xu, Jing Zhang et al.
Adversarial Robust Safeguard for Evading Deep Facial Manipulation
Jiazhi Guan, Yi Zhao, Zhuoer Xu et al.
Adversarial Socialbots Modeling Based on Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
Yongjian Deng, Hao Chen, Youfu Li
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Xiaoming Hu, Zilei Wang
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis
Dongze Li, Kang Zhao, Wei Wang et al.
AesFA: An Aesthetic Feature
Aware Arbitrary Neural Style Transfer
A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem
Lu Liu, Mingyu Xiao, Yi Zhou
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton
Vidya Sagar Sharma
A General Implicit Framework for Fast NeRF Composition and Rendering
Xinyu Gao, Ziyi Yang, Yunlu Zhao et al.
A Generalized Neural Diffusion Framework on Graphs
10011 Yibo Li, Xiao Wang, Hongrui Liu et al.
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
Chen E, Yang Cao, Ge Yifei
A General Search-Based Framework for Generating Textual Counterfactual Explanations
Daniel Gilo, Shaul Markovitch
A General Theoretical Framework for Learning Smallest Interpretable Models
Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.
Agile Multi-Source-Free Domain Adaptation
Xinyao Li, Jingjing Li, Fengling Li et al.
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Xuan Shen, Peiyan Dong, Lei Lu et al.
A Goal Interaction Graph Planning Framework for Conversational Recommendation
Xiaotong Zhang, Xuefang Jia, Han Liu et al.
A Graph Dynamics Prior for Relational Inference
Liming Pan, Cheng Shi, Ivan Dokmanic
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
Ruikui Wang, Yuanfang Guo, Yunhong Wang
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound
Yun Liao, Junfan Li, Shizhong Liao et al.
A Hybrid Global-Local Perception Network for Lane Detection
Authors: Qing Chang, Yifei Tong
A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction
Ruili Pu, Yang Li, Jun Zhao et al.