Paper Papers

A Comprehensive Augmentation Framework for Anomaly Detection

Lin Jiang, Yaping Yan

A Computation-Aware Shape Loss Function for Point Cloud Completion

Shunran Zhang, Xiubo Zhang, Tsz Nam Chan et al.

A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation

Mufan Xue, Xinyu Wu, Jinlong Li et al.

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction

Wenshuo Chao, Zhaopeng Qiu, Likang Wu et al.

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning

Chen-Xiao Gao, Chenyang Wu, Mingjun Cao et al.

Active Learning Guided by Efficient Surrogate Learners

Yunpyo An, Suyeong Park, Kwang In Kim

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection

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.