Most Cited AAAI "gpu parallel algorithms" Papers

Submodel Enumeration for CTL Is Hard

Nicolas Fröhlich, Arne Meier

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement

Kai Shang, Mingwen Shao, Chao Wang et al.

MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models

Xilin He, Haijian Liang, Boyi Peng et al.

CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems

Kerian Thuillier, Anne Siegel, Loïc Paulevé

Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation

Junwei Zhang, Xiaolin Li

DMT-RoleBench: A Dynamic Multi-Turn Dialogue Based Benchmark for Role-Playing Evaluation of Large Language Model and Agent

Dingbo Yuan, Yipeng Chen, Guodong Liu et al.

Text2Data: Low-Resource Data Generation with Textual Control

Shiyu Wang, Yihao Feng, Tian Lan et al.

Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization

Stratified GNN Explanations through Sufficient Expansion

IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning

Explicitly Guided Difficulty-Controllable Visual Question Generation

Jiayuan Xie, Mengqiu Cheng, Xinting Zhang et al.

DiG-In-GNN: Discriminative Feature Guided GNN-based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph

Jinghui Zhang, Zhengjia Xu, Dingyang Lv et al.

Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision

Ximing Li, Yuanchao Dai, Zhiyao Yang et al.

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Tongzhou Zhang, Gang Wang, Yu Chen et al.

ROG\_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning

Qin Zhang, Jiexin Lu, Xiaowei Li et al.

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria

Brian Zhang, Tuomas Sandholm

SHAP\@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features

Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lecue et al.

Explore What LLM Does Not Know in Complex Question Answering

Xin Lin, Zhenya Huang, Zhiqiang Zhang et al.

Bi-directional Adapter for Multimodal Tracking

Bing Cao, Junliang Guo, Pengfei Zhu et al.

An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations

Lulu Cao, Yufei Liu, Zhenzhong Wang et al.

Multimodal Graph Neural Architecture Search under Distribution Shifts

Jie Cai, Xin Wang, Haoyang Li et al.

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning

Yongjian Deng, Hao Chen, Youfu Li

Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition

Yujin Kang, Yoon-Sik Cho

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations

Yongxin Xu, Xinke Jiang, Xu Chu et al.

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms

Yadong Xu, Bonan Ni, Weiran Shen et al.

Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models

Guang Huang, Yanan Xiao, Lu Jiang et al.

Vietnamese Words Are Not Constructed from Syllables: Rethinking the Role of Word Segmentation in Natural Language Processing for Vietnamese Texts

Nghia Hieu Nguyen, Dat Tien Nguyen, Ngan Luu-Thuy Nguyen

Simplicity Bias in Overparameterized Machine Learning

Learning Deep Dissipative Dynamics

Yuji Okamoto, Ryosuke Kojima

A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency

Hao Zhang, Xuhui Zuo, Huabing Zhou et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding

Xiao Long, Liansheng Zhuang, Aodi Li et al.

11879 Distributional Off-Policy Evaluation for Slate Recommendations

Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.

AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks

Shifu Hou, Rick Johnson, Ramandeep Makhija et al.

10783 The Complexity of Optimizing Atomic Congestion

Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram et al.

AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection

Zihan Ji, Xuetao Tian, Ye Liu

GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition

Shizhou Huang, Bo Xu, Yang Yu et al.

Data Augmented Graph Neural Networks for Personality Detection

Yangfu Zhu, Yue Xia, Meiling Li et al.

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning

Li Huang, Haowen Liu, Qiang Gao et al.

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption

Adil Nawaz, Guopeng Chen, Muhammad Umair Raza et al.

8318 Optimal Transport with Tempered Exponential Measures

Ehsan Amid, Frank Nielsen, Richard Nock et al.

Training Deep Neural Networks with Virtual Smoothing Classes

Zhiyang Zhou, Siwei Wei, Xudong Zhang et al.

Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method

Quanling Zhao, Anthony Hitchcock Thomas, Ari Brin et al.

780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization

Jiaying Zhu, Dong Li, Xueyang Fu et al.

Memory Efficient Matting with Adaptive Token Routing

Yiheng Lin, Yihan Hu, Chenyi Zhang et al.

ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning

Hao Zheng, Zhigang Hu, Liu Yang et al.

6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning

Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.

5602 Consistency-GAN: Training GANs with Consistency Model

Yunpeng Wang, Meng Pang, Shengbo Chen et al.

Speech Watermarking with Discrete Intermediate Representations

Shengpeng Ji, Ziyue Jiang, Jialong Zuo et al.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.

Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem

Logan E. Beaver

End-to-End Verification for Subgraph Solving

STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis

Zhe Zhao, Pengkun Wang, Haibin Wen et al.

A Unified Environmental Network for Pedestrian Trajectory Prediction

Guoqing Chao, Yi Jiang, Dianhui Chu

Learnability of Parameter-Bounded Bayes Nets

Arnab Bhattacharyya, Davin Choo, Sutanu Gayen et al.

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

Xiao Yun, Chenglong Xu, Kevin Riou et al.

Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion

Bin Shang, Yinliang Zhao, Jun Liu et al.

Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

Lei Zhai, Shuyuan Yang, Yitong Li et al.

DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images

Mingxin Yi, Kai Zhang, Pei Liu et al.

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning

Guangchong Zhou, Zeren Zhang, Guoliang Fan

Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates

Keke Tang, Ziyong Du, Weilong Peng et al.

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

Qiming Liu, Xiang Ao, Yuyao Guo et al.

Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events

Wen Yang, Jinjian Wu, Jupo Ma et al.

MORE: Molecule Pretraining with Multi-Level Pretext Task

Yeongyeong Son, Dasom Noh, Gyoungyoung Heo et al.

Behaviour Preference Regression for Offline Reinforcement Learning

Padmanaba Srinivasan, William Knottenbelt

Co-Dream: Collaborative Dream Synthesis over Decentralized Models

Abhishek Singh, Gauri Gupta, Yichuan Shi et al.

Towards Loss-Resilient Image Coding for Unstable Satellite Networks

Hongwei Sha, Muchen Dong, Quanyou Luo et al.

Neural Embeddings for kNN Search in Biological Sequence

Zhihao Chang, Linzhu Yu, Yanchao Xu et al.

Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation

Ofer Arieli, Kees van Berkel, Christian Straßer

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification

Xin Tan, Ce Zhao, Chengliang Liu et al.

Assessment via Transformer Text Prompting

Symbolic Functional Decomposition: A Reconfiguration Approach

Mateus de Oliveira Oliveira, Wim Van Den Broeck

Optimal Quasi-clique: Hardness, Equivalence with Densest-$k$-Subgraph, and Quasi-partitioned Community Mining

Aritra Konar, Nicholas Sidiropoulos

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering

Tingting Wu, Zhendong Li, Zhibin Gu et al.

Adaptive Market Making with Inventory Constraints via Online Learning

Shan Xue, Ye Du, Liang Xu

Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification

Yuming Shao, Zhixuan Fang

A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography

Xinghua Ma, Xinyan Fang, Mingye Zou et al.

Follow-Your-Click: Open-domain Regional Image Animation via Motion Prompts

Yue Ma, Yingqing He, Hongfa Wang et al.

OAMaskFlow: Occlusion-Aware Motion Mask for Scene Flow

Xiongfeng Peng, Zhihua Liu, Weiming Li et al.

Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios

Huanhuan Yang, Dianxi Shi, Songchang Jin et al.

Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks

Lorenz Kummer, Samir Moustafa, Wilfried Gansterer et al.

Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng et al.

Marginal Benefit Driven RL Teacher for Unsupervised Environment Design

Dexun Li, Wenjun Li, Pradeep Varakantham

CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing

Seungcheol Lee, Moohong Min

Multi-Label Ranking Loss Minimization for Matrix Completion

Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang et al.

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong et al.

Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy

Jian-Ping Mei, Weibin Zhang, Jie Chen et al.

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.

Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation

Wenhao Xu, Rongtao Xu, Changwei Wang et al.

Contextual Structure Knowledge Transfer for Graph Neural Networks

Zhiyuan Yu, Wenzhong Li, Zhangyue Yin et al.

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Xin Lin, Chong Shi, Yibing Zhan et al.

Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations

Chengfu Ou, Lingyun Xiang, Yangfan Liu

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization

Hao Wang, Fang Liu, Licheng Jiao et al.

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

Xiaohan Li, Dong Liu, Jun Wu

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection

Shuzhi Cao, Jianfei Ruan, Bo Dong et al.

Repurposing Ensemble of Black-Box Models to New Task Domains

Minh Hoang, Nghia Hoang

Content Filtering with Inattentive Information Consumers

Justin Grana, Alex Slivkins, Brendan Lucier et al.

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization

Yuanhao Lai, Pengfei Zheng, Chenpeng Ji et al.

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing

QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos

Yogesh Kumar, Saswat Mallick, Anand Mishra et al.

Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models

Hieu Man, Franck Dernoncourt, Thien Huu Nguyen

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

Jingping Liu, Mingchuan Zhang, Weichen Li et al.

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface

Dongrui Gao, Haokai Zhang, Pengrui Li et al.

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.

DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification

Tony Alex, Sara Ahmed, Armin Mustafa et al.

Video Event Extraction with Multi-View Interaction Knowledge Distillation

Kaiwen Wei, Du Runyan, Li Jin et al.

On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs

Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Yang Yao, Xin Wang, Yijian Qin et al.

Shuffled Deep Regression

Learning from Failure: Improving Meeting Summarization without Good Samples

Ke Wang, Xiutian Zhao, Wei Peng

RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving

Daniel Coelho, Miguel Oliveira, Vitor Santos

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

Di Wu, Wu Sun, Yi He et al.

Arbitrary-Scale Video Super-resolution Guided by Dynamic Context

Cong Huang, jiahao Li, Lei Chu et al.

Abstraction of Situation Calculus Concurrent Game Structures

Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.

Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming

Srikar Appalaraju, Peng Tang, Qi Dong et al.

Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection

Parameterized Complexity of Caching in Networks

Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

Haoyuan Wu, Xinyun Zhang, Peng Xu et al.

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei xu, Cheng Zhou, Yizheng Zhang et al.

Association Pattern-enhanced Molecular Representation Learning

Lingxiang Jia, Yuchen Ying, Tian Qiu et al.

Discovering Options That Minimize Average Planning Time

Alexander Ivanov, Akhil Bagaria, George Konidaris

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering

Bingbing Jiang, Chenglong Zhang, Xinyan Liang et al.

Structure-Aware Multimodal Sequential Learning for Visual Dialog

Youngjin Kim, Min-Jun Kim, Kyunghwan An et al.

Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration

Shenglong Zhou, Zhiwei Xiong, Feng Wu

HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection

Yongchao Xu, Jiawei Liu, Sen Tao et al.

RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting

Wen Xue, Chun Ding, Ruotao Xu et al.

Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization

Xuemei Jia, Jiawei Du, Hui Wei et al.

TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning

Baichuan Huang, Amir Aminifar

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation

Hongxuan Zhang, Yao Zhao, Jiaqi Zheng et al.

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression

Xinhao Huang, You-Liang Huang, Zeyi Wen

Bilateral Gradual Semantics for Weighted Argumentation

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Kumaraswamy Wavelet for Heterophilic Scene Graph Generation

Lianggangxu Chen, Youqi Song, Shaohui Lin et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis

Jian Bi, Qianliang Wu, Jianjun Qian et al.

No Internal Regret with Non-convex Loss Functions

Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition

Bo Hu, Kai Zhang, Yanghai Zhang et al.

Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods

Luisa Werner, Nabil Layaïda, Pierre Genevès et al.

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction

Jiaxin Huang, Qi Wu, Yazhou Ren et al.

AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion

Beibei Jing, Youjia Zhang, Zikai Song et al.

KernelMatmul: Scaling Gaussian Processes to Large Time Series

Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching

Nan Jiang, Md Nasim, Yexiang Xue

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning

Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation

Xingyu Liu, Pengfei Ren, Yuanyuan Gao et al.

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition

Jiadong Wang, Zexu Pan, Malu Zhang et al.

Pandora’s Problem with Deadlines

Ben Berger, Tomer Ezra, Michal Feldman et al.

Heterogeneous Graph Neural Network on Semantic Tree

Mingyu Guan, Jack W Stokes, Qinlong Luo et al.

RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack

Yuxuan Zhang, Zhenbo Shi, Shuchang Wang et al.

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera

Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.

Boosting Vision State Space Model with Fractal Scanning

Haoke Xiao, Lv Tang, Peng-tao Jiang et al.

Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models

Zimeng Wu, Jiaxin Chen, Yunhong Wang

LTLf Synthesis Under Unreliable Input

Christian Hagemeier, Giuseppe de Giacomo, Moshe Y. Vardi

Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection

Dantong Wu, Zhiqiang Chen, Tianjiao Du et al.

Target Scanpath-Guided 360-Degree Image Enhancement

Yujia Wang, Fang-Lue Zhang, Neil A. Dodgson

3D-aware Select, Expand, and Squeeze Token for Aerial Action Recognition

Luying Peng, Xiangbo Shu, Yazhou Yao et al.

From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue

Decentralized Sum-of-Nonconvex Optimization

Zhuanghua Liu, Bryan Kian Hsiang Low

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer

Xiaorui Su, Pengwei Hu, Zhu-Hong You et al.

Optimised Storage for Datalog Reasoning

Xinyue Zhang, Pan Hu, Yavor Nenov et al.

Revisiting Change Captioning from Self-supervised Global-Part Alignment

Feixiao Lv, Rui Wang, Lihua Jing

Towards Better Robustness Against Natural Corruptions in Document Tampering Localization

Huiru Shao, Kaizhu Huang, Wei Wang et al.

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words

Zhongtian Fu, Kefei Song, Luping Zhou et al.

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning

Zhe Chen, Zhe Fang, Wenhao Tian et al.

Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph

Vasily Alferov, Ivan Bliznets, Kirill Brilliantov

Multi-Subspace Matrix Recovery from Permuted Data

Liangqi Xie, Jicong Fan

Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World

Chenyu Mu, Jiahua Li, Kun Wei et al.

Federated Label-Noise Learning with Local Diversity Product Regularization

Xiaochen Zhou, Xudong Wang

A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees

Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.

Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection

Jitao Ma, Weiying Xie, Hangyu Ye et al.

Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection

Gengyu Lyu, Bohang Sun, Xiang Deng et al.

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation

Siyuan Hu, Zheng Wang, Peng Hu et al.

Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling

Zhen-Xiang Ma, Zhen-Duo Chen, Tai Zheng et al.

Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition

Hanxuan Li, Bin Fu, Ruiping Wang et al.

MASS: Overcoming Language Bias in Image-Text Matching

Jiwan Chung, Seungwon Lim, Sangkyu Lee et al.

CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction

Yajun An, Jiale Chen, Huan Lin et al.

Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data

Na Zhao, Gim Hee Lee

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting

Mixture of Online and Offline Experts for Non-Stationary Time Series

Zhilin Zhao, Longbing Cao, Yuanyu Wan

GSENet: Global Semantic Enhancement Network for Lane Detection

Junhao Su, Zhenghan Chen, Chenghao He et al.

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation

Han Yang, Chuanguang Yang, Zhulin An et al.

How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?

Wenjun Ding, Ying An, Lixing Chen et al.

GenHMR: Generative Human Mesh Recovery

Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang et al.

Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models

YangTian Yan, Jinyu Tian

KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank

Kuan Xu, Kuo Yang, Jian Liu et al.

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning

Shengbo Gu, Yu-Kun Qiu, Yu-Ming Tang et al.

DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations

Ruilu Wang, Yang Xue, Lianwen Jin

Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning

Xiang Zhang, Wanqing Zhao, Pengyang Li et al.

HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions

Keyu Du, Hao Xu, Haipeng Li et al.

Expressive Multi-Agent Communication via Identity-Aware Learning

Wei Du, Shifei Ding, Lili Guo et al.

Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement

Chengjie Ge, Xueyang Fu, Peng He et al.

The Unreasonable Effectiveness of Open Science in AI: A Replication Study

Odd Erik Gundersen, Odd Cappelen, Martin Mølnå et al.

Comprehensive Visual Grounding for Video Description

Wenhui Jiang, Yibo Cheng, Liu Linxin et al.

SpeHeaTal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis

Yi Shi, Yun-Kai Wang, Xu-Peng Tian et al.

Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification

Jie Chen, Xinyuan Liu, Xintong Liu et al.

Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning

Jiamin Wu, Xin Liu, Xiaotian Yin et al.

FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization

Cheng Xu, Weiwen Zhang, Hongrui Zhang et al.