Most Cited AAAI "prompt ensemble learning" Papers

CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls

Li Chai, Donglin Wang

Small Language Model Makes an Effective Long Text Extractor

Yelin Chen, Fanjin Zhang, Jie Tang

CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder

Jianwei Cui, Yu Gu, Shihao Chen et al.

ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis

Xiangheng He, Junjie Chen, Zixing Zhang et al.

Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling

Michael Heck, Christian Geishauser, Nurul Lubis et al.

Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction

Peixin Huang, Xiang Zhao, Minghao Hu et al.

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst

Shijue Huang, Wanjun Zhong, Deng Cai et al.

Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document

Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas et al.

Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition

Eungbeom Kim, Kyogu Lee

LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration

Sangmin Lee, Woojin Chung, Hong-Goo Kang

Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing

Jianjian Liu, Zhengtao Yu, Ying Li et al.

NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models

Tuc Van Nguyen, James Michels, Hua Shen et al.

Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs

Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik

Hansel: Output Length Controlling Framework for Large Language Models

Seoha Song, Junhyun Lee, Hyeonmok Ko

Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition

Xingmei Wang, Jinghan Liu, Jiaxiang Meng et al.

Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization

Yihan Wu, Yichen Lu, Yifan Peng et al.

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction

Jingheng Ye, Shang Qin, Yinghui Li et al.

MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge

Maxwell J. Yin, Boyu Wang, Charles Ling

SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training

Jiaxing Yu, Xinda Wu, Yunfei Xu et al.

Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling

Xupeng Zha, Huan Zhao, Guanghui Ye et al.

Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM

Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen et al.

CareBot: A Pioneering Full-Process Open-Source Medical Language Model

Lulu Zhao, Weihao Zeng, Xiaofeng Shi et al.

Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning

Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation

Weilin Lin, Li Liu, Jianze Li et al.

FROC: Building Fair ROC from a Trained Classifier

Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar

FairTP: A Prolonged Fairness Framework for Traffic Prediction

Jiangnan Xia, Yu Yang, Jiaxing Shen et al.

Towards Practical Classical Planning Compilations of Numeric Planning

Luigi Bonassi, Francesco Percassi, Enrico Scala

Approximating Optimal Labelings for Temporal Connectivity

Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen

PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning

Daniel Gnad, Lee-Or Alon, Eyal Weiss et al.

Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves

Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.

Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes

Yifan Lin, Enlu Zhou

Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight

Shaohui Pan, Yong Xu, Ruotao Xu et al.

Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems

Igor G. Smit, Yaoxin Wu, Pavel Troubil et al.

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments

Taehun Cha, Donghun Lee

Resource Constrained Pathfinding with Enhanced Bidirectional A* Search

Saman Ahmadi, Andrea Raith, Guido Tack et al.

Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks

Arnaud Deza, Elias B. Khalil, Zhenan Fan et al.

REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization

Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do et al.

DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces

Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.

Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis

Furong Ye, Chuan Luo, Shaowei Cai

Investigating Relational State Abstraction in Collaborative MARL

Sharlin Utke, Jeremie Houssineau, Giovanni Montana

Epistemic Bellman Operators

Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith

Pushing the Limits of BFP on Narrow Precision LLM Inference

Hui Wang, Yuan Cheng, Xiaomeng Han et al.

Dynamic Uncertainty Estimation for Offline Reinforcement Learning

Jiesheng Wang, Lin Li, Wei Wei et al.

Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality

Qitong Wang, Tang Li, Kien X. Nguyen et al.

Global-Semantic Alignment Distillation for Partial Multi-view Classification

Xiaoli Wang, Anqi Huang, Yongli Wang et al.

Set-Valued Sensitivity Analysis of Deep Neural Networks

Xin Wang, Feilong Wang, Xuegang (Jeff) Ban

Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering

Xinxin Wang, Yongshan Zhang, Yicong Zhou

Multi-label Self Knowledge Distillation

Xucong Wang, Pengkun Wang, Shurui Zhang et al.

Noisy Correspondence Rectification via Asymmetric Similarity Learning

Yunbo Wang, YuJie Wu, Zhien Dai et al.

Enhanced Denesity Peak Clustering for High-Dimensional Data

Zhongli Wang, Jie Yang, Junyi Guan et al.

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning

Yaoquan Wei, Shunyu Liu, Jie Song et al.

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks

Yongyan Wen, Siyuan Li, Rongchang Zuo et al.

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning

Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang et al.

LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing

Weiwei Xing, Yue Cheng, Hongzhu Yi et al.

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning

Zhang Xiong, Cheng Xie, Haoran Duan et al.

Memory-Reduced Meta-Learning with Guaranteed Convergence

Honglin Yang, Ji Ma, Xiao Yu

Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting

Sifan Yang, Yuanyu Wan, Lijun Zhang

Zero-Shot Task Adaptation with Relevant Feature Information

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

MatchDet: A Collaborative Framework for Image Matching and Object Detection

Authors: Jinxiang Lai, Wenlong Wu, Bin-Bin Gao et al.

Optimal Transport with Cyclic Symmetry

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo et al.

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim, Jaesik Choi

SAT-Based Techniques for Lexicographically Smallest Finite Models

Mikoláš Janota, Choiwah Chow, João Araújo et al.

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

Layer Compression of Deep Networks with Straight Flows

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam et al.

The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank

Amitay Bar, Rotem Mulayoff, Tomer Michaeli et al.

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization

Danning Lao, Qi Liu, Jiazi Bu et al.

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Yu Liu, Runzhe Wan, James McQueen et al.

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities

Hammad Ayyubi, Christopher Thomas, Lovish Chum et al.

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Di Wu, Yuling Jiao, Li Shen et al.

Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations

Haziq Razali, Yiannis Demiris

A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation

Matthieu Lin, Jenny Sheng, Yubin Hu et al.

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.

Revisiting Open-Set Panoptic Segmentation

Yufei Yin, Hao Chen, Wengang Zhou et al.

Focus Stacking with High Fidelity and Superior Visual Effects

Bo Liu, Bin Hu, Xiuli Bi et al.

Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer

Qiuyun Zhang, Bin Guo, Lina Yao et al.

Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning

Kevin Leo, Graeme Gange, M. G. D. L. Banda et al.

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.

Sample-and-Bound for Non-convex Optimization

Yaoguang Zhai, Zhizhen Qin, Sicun Gao

The Causal Impact of Credit Lines on Spending Distributions

Yijun Li, Cheuk Hang Leung, Xiangqian Sun et al.

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning

Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.

Sketched Newton Value Iteration for Large-Scale Markov Decision Processes

Jinsong Liu, Chenghan Xie, Qi Deng et al.

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games

Seeing Dark Videos via Self-Learned Bottleneck Neural Representation

Haofeng Huang, Wenhan Yang, Lingyu Duan et al.

Multi-Label Supervised Contrastive Learning

Pingyue Zhang, Mengyue Wu

Moral Uncertainty and the Problem of Fanaticism

Jazon Szabo, Natalia Criado, Jose Such et al.

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

Hilal AlQuabeh, William de Vazelhes, Bin Gu

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

DDAE: Towards Deep Dynamic Vision BERT Pretraining

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

Fair Participation via Sequential Policies

Reilly Raab, Ross Boczar, Maryam Fazel et al.

GSN: Generalisable Segmentation in Neural Radiance Field

Siddharth Barman, Umang Bhaskar, Yeshwant Pandit et al.

Painterly Image Harmonization by Learning from Painterly Objects

Li Niu, Junyan Cao, Yan Hong et al.

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep

Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.

Generalising Planning Environment Redesign

Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo

Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation

Yingjie Chen, Jiarui Zhang, Tao Wang et al.

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie et al.

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model

Zhejing Hu, Yan Liu, Gong Chen et al.

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation

Ri Cheng, Ruian He, Xuhao Jiang et al.

Social-Aware Group Display Configuration in VR Conference

Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.

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

Chenyu Sun, Hangwei Qian, Chunyan Miao

Maxileximin Envy Allocations and Connected Goods

Gianluigi Greco, Francesco Scarcello

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting

Fan Zhou, Chen Pan, Lintao Ma et al.

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions

David Nguyen, David Liebowitz, Salil Kanhere et al.

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees

Jinzhao Li, Nan Jiang, Yexiang Xue

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.

Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

The Moderating Effect of Instant Runoff Voting

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.

Cooperative Knowledge Distillation: A Learner Agnostic Approach

Michael Livanos, Ian Davidson, Stephen Wong

10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection

Hai Xia, Stefan Szeider

Discerning Temporal Difference Learning

Jianfei Ma

SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies

Haochen Wu, Shubham Sharma, Sunandita Patra et al.

Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

Xiaolong Fan, Maoguo Gong, Yue Wu et al.

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment

Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.

Eliciting Kemeny Rankings

Anne-Marie George, Christos Dimitrakakis

Learning Hybrid Dynamics Models with Simulator-Informed Latent States

Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.

Object Attribute Matters in Visual Question Answering

Peize Li, Qingyi Si, Peng Fu et al.

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Paul Bodily, Dan Ventura

TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

Andrei Ivanov, Stefan Ailuro

Opponent-Model Search in Games with Incomplete Information

Junkang Li, Bruno Zanuttini, Véronique Ventos

Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy

Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.

Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints

Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis et al.

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae

Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam Ngouonou et al.

Generalized Variational Inference via Optimal Transport

Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

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

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure

Cheng Bian, Xiaoyu Li, Zhu Guangpu et al.

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown et al.

Identification for Tree-Shaped Structural Causal Models in Polynomial Time

Aaryan Gupta, Markus Bläser

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes

David Klaska, Antonin Kucera, Vojtěch Kůr et al.

Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning

Guoli Yan, Zichun Zhong, Jing Hua

SEC: More Accurate Clustering Algorithm via Structural Entropy

Junyu Huang, Qilong Feng, Jiahui Wang et al.

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring

Ge Gao, Xi Yang, Min Chi

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits

Zhiwei Wang, Hongning Wang, Huazheng Wang

A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem

Lu Liu, Mingyu Xiao, Yi Zhou

W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation

Fangyuan Zhang, Tianxiang Pan, Junhai Yong et al.

Decentralized Sum-of-Nonconvex Optimization

Zhuanghua Liu, Bryan Kian Hsiang Low

Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing

Heping Song, Jingyao Gong, Hongying Meng et al.

Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation

Naisong Luo, Rui Sun, Yuwen Pan et al.

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng et al.

Visual Hallucination Elevates Speech Recognition

Fang Zhang, Yongxin Zhu, Xiangxiang Wang et al.

Sampling for Beyond-Worst-Case Online Ranking

Qingyun Chen, Sungjin Im, Benjamin Moseley et al.

Comprehensive Visual Grounding for Video Description

Wenhui Jiang, Yibo Cheng, Liu Linxin et al.

Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction

ZhouSan Xie, Shikui Tu, Lei Xu

CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection

Jie Chen, Liangmin Wang, Huijuan Zhu et al.

Selective Deep Autoencoder for Unsupervised Feature Selection

Wael Hassanieh, Abdallah Chehade

Variable Importance in High-Dimensional Settings Requires Grouping

Yifan Lu, Ziqi Zhang, Chunfeng Yuan et al.

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming

Vincent Conitzer, Yueqian Wang, Yuxuan Wang et al.

Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening

EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration

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

Orthogonal Dictionary Guided Shape Completion Network for Point Cloud

Pingping Cai, Deja Scott, Xiaoguang Li et al.

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation

Ge Meng, Jingjia Huang, Yingying Wang et al.

Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated

Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.

Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution

Emily McMilin

GSDD: Generative Space Dataset Distillation for Image Super-resolution

Haiyu Zhang, Shaolin Su, Yu Zhu et al.

Graph Reasoning Transformers for Knowledge-Aware Question Answering

Ruilin Zhao, Feng Zhao, Liang Hu et al.

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

Bowen Wang, Chen Liang, Jiaze Wang et al.

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

Hao Wu, Yuxuan Liang, Wei Xiong et al.

Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack

Daizong Liu, Wei Hu

ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting

Ke Sun, Pei Liu, Pengfei Li et al.

Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration

Sheng Zhu, Chun Shen, Shuai Lü et al.

PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation

Yiying Yang, Fukun Yin, Wen Liu et al.

SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection

Xin Jin, Kai Liu, Cong Ma et al.

TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation

Zhidong Yu, Wei Yang, Xike Xie et al.

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy

Zhenbang Zhang, Hongjia Li, Zhiqiang Xu et al.

Locality Preserving Refinement for Shape Matching with Functional Maps

Yifan Xia, Yifan Lu, Yuan Gao et al.

IGAMT: Privacy Preserved Electronic Health Record Synthetic Approach with Heterogeneity and Irregularity

Wenjie Wang, Pengfei Tang, Jian Lou et al.

ResMatch: Residual Attention Learning for Feature Matching

Yuxin Deng, Kaining Zhang, Shihua Zhang et al.

Gaze Target Detection by Merging Human Attention and Activity Cues

Yaokun Yang, Yihan Yin, Feng Lu

Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering

Suyuan Liu, Junpu Zhang, Yi Wen et al.

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

Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification

Chengliang Liu, Jia Jinlong, Jie Wen et al.

Efficient Lightweight Image Denoising with Triple Attention Transformer

Yubo Zhou, Jin Lin, Fangchen Ye et al.

Learning from Failure: Improving Meeting Summarization without Good Samples

Ke Wang, Xiutian Zhao, Wei Peng

CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph

Hongjie Xia, Huijie Ao, Long Li et al.

Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance

Yingheng Wang, Shufeng Kong, John Gregoire et al.

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging

Dalong Chen, Jianjia Zhang, Wei-shi Zheng et al.

End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding

Hai Wan, Pingjia Liang, Jianfeng Du et al.

Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology

Foivos Fioravantes, Dušan Knop, Jan Křišťan et al.

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

Wenhao Xu, Rongtao Xu, Changwei Wang et al.

ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction

Mengpu Liu, Mengying Zhu, Xiuyuan Wang et al.

An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions

Zhaoxu Sun, Yuze Xuan, Fang Liu et al.

EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks

Jiafeng Li, Zelin Li, Ying Wen

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation

Bin Shang, Yinliang Zhao, Jun Liu et al.

Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction

Qiqi Bao, Zheng Hui, Rui Zhu et al.