Most Cited AAAI "graph neural odes" Papers

Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting

Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks

Haoyang Li, Li Bai, Qingqing Ye et al.

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks

Junwei Su, Shan Wu

Enhancing Multimodal Affective Analysis with Learned Live Comment Features

Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown

Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

Xuechen Zhang, Mingchen Li, Jiasi Chen et al.

In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting

Constantin Philippenko, Kevin Scaman, Laurent Massoulié

FIRM: Flexible Interactive Reflection ReMoval

Xiao Chen, Xudong Jiang, Yunkang Tao et al.

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Jie Han, Yixiong Zou, Haozhao Wang et al.

SoundBrush: Sound as a Brush for Visual Scene Editing

Kim Sung-Bin, Kim Jun-Seong, Junseok Ko et al.

Targeted Activation Penalties Help CNNs Ignore Spurious Signals

Dekai Zhang, Matt Williams, Francesca Toni

S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field

Zixi Liang, Guowei Xu, Haifeng Wu et al.

Controller-Guided Partial Label Consistency Regularization with Unlabeled Data

Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages

Ashutosh Bajpai, Tanmoy Chakraborty

Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening

Ge Meng, Jingjia Huang, Jingyan Tu et al.

A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic

Fuqi Jia, Yuhang Dong, Rui Han et al.

Mining In-distribution Attributes in Outliers for Out-of-distribution Detection

Yutian Lei, Luping Ji, Pei Liu

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

Lirong Wu, Haitao Lin, Yufei Huang et al.

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

Menglin Wang, Zhun Zhong, Xiaojin Gong

First-Order Federated Bilevel Learning

Yifan Yang, Peiyao Xiao, Shiqian Ma et al.

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration

Mingzi Wang, Yuan Meng, Chen Tang et al.

Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment

Yuanfan Zheng, Jinlin Wu, Wuyang Li et al.

ScreenMark: Watermarking Arbitrary Visual Content on Screen

Xiujian Liang, Gaozhi Liu, Yichao Si et al.

Can Generative Models Improve Self-Supervised Representation Learning?

Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.

Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection

Ziyou Liang, Weifeng Liu, Run Wang et al.

Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter

Junhao Chen, Bowen Wang, Zhouqiang Jiang et al.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

Wonjun Lee, Bumsub Ham, Suhyun Kim

Approximating Metric Magnitude of Point Sets

Rayna Andreeva, James Ward, Primoz Skraba et al.

Personalized Clustering via Targeted Representation Learning

Xiwen Geng, Suyun Zhao, Yixin Yu et al.

Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors

Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.

A New Adversarial Perspective for LiDAR-based 3D Object Detection

Shijun Zheng, Weiquan Liu, Yu Guo et al.

Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset

Sithu Aung, Min-Cheol Sagong, Junghyun Cho

Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules

Jiabao Wang, Zepeng Wu, Qian Dong et al.

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling

Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim et al.

Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models

Kyle Cox, Jiawei Xu, Yikun Han et al.

On the Power of Strategic Corpus Enrichment in Content Creation Games

Haya Nachimovsky, Moshe Tennenholtz

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems

Xiangming Wang, Haijin Zeng, Jiaoyang Chen et al.

CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis

Gyeongjin Kang, Younggeun Lee, Seungjun Oh et al.

Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame

Luyang Tang, Jiayu Yang, Rui Peng et al.

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification

Xu-Yang Chen, Lu Han, De-Chuan Zhan et al.

DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models

Yanming Liu, Xinyue Peng, Yuwei Zhang et al.

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning

Wei Chen, Yi Zhou

Residual Diffusion Deblurring Model for Single Image Defocus Deblurring

Haoxuan Feng, Haohui Zhou, Tian Ye et al.

Multi-Region Text-Driven Manipulation of Diffusion Imagery

Yiming Li, Peng Zhou, Jun Sun et al.

Invariant Random Forest: Tree-Based Model Solution for OOD Generalization

Yufan LIAO, Qi Wu, Xing Yan

Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement

Seungheun Baek, Soyon Park, Yan Ting Chok et al.

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila McIlraith, J. Christopher Beck

Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles

Yangkai Lin, Jiabao Lei, Kui Jia

Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video

Shijie Li, Weijun Lin, Qingyuan Xiang et al.

Enhancing LLMs via High-Knowledge Data Selection

Feiyu Duan, Xuemiao Zhang, Sirui Wang et al.

Scalable Trajectory-User Linking with Dual-Stream Representation Networks

Hao Zhang, Wei Chen, Xingyu Zhao et al.

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.

PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF

Mohsen Gholami, Rabab Ward, Z. Jane Wang

Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval

Xingbo Liu, Xuening Zhang, Xiushan Nie et al.

Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity

Dmitry Bylinkin, Aleksandr Beznosikov

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules

Peijin Xie, Lin Sun, Bingquan Liu et al.

Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution

Songran Bai, Yuheng Ji, Yue Liu et al.

Risk-averse Total-reward MDPs with ERM and EVaR

Xihong Su, Marek Petrik, Julien Grand-Clément

Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training

Haifan Gong, Yu Lu, Xiang Wan et al.

Optimizing Human Pose Estimation Through Focused Human and Joint Regions

Yingying Jiao, Zhigang Wang, Zhenguang Liu et al.

SS-GEN: A Social Story Generation Framework with Large Language Models

Yi Feng, Mingyang Song, Jiaqi Wang et al.

Medical Manifestation-Aware De-Identification

Yuan Tian, Shuo Wang, Guangtao Zhai

Weighted Poisson-disk Resampling on Large-Scale Point Clouds

Xianhe Jiao, Chenlei Lv, Junli Zhao et al.

The Impact of Literal Sorting on Cardinality Constraint Encodings

Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.

Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation

Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.

Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision

Maoji Zheng, Ziyu Xu, Qiming Xia et al.

FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection

Bo Wang, Zhao Zhang, Suiyi Zhao et al.

JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning

Boyu Chen, Peike Li, Yao Yao et al.

Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context

Harry Hughes, Michael Horton, Xinyu Wei et al.

Scalable Decentralized Algorithms for Online Personalized Mean Estimation

Franco Galante, Giovanni Neglia, Emilio Leonardi

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism

Jianing He, Qi Zhang, Hongyun Zhang et al.

HOP to the Next Tasks and Domains for Continual Learning in NLP

Umberto Michieli, Mete Ozay

First-Order Automata

Luca Geatti, Alessandro Gianola, Nicola Gigante

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

Runqing Jiang, Ye Zhang, Longguang Wang et al.

Effective Causal Discovery under Identifiable Heteroscedastic Noise Model

Naiyu Yin, Tian Gao, Yue Yu et al.

Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing

Pengfei Jiang, Mingbao Lin, Fei Chao

Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression

Ruizhi Pu, Gezheng Xu, Ruiyi Fang et al.

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.

Discrete Curvature Graph Information Bottleneck

Xingcheng Fu, Jian Wang, Yisen Gao et al.

Neural Control and Certificate Repair via Runtime Monitoring

Emily Yu, Đorđe Žikelić, Thomas A. Henzinger

RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations

Bin Zhang, Jinggang Chen, Xiaoyang Qu et al.

Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval

Yang Liu, Shudong Huang, Deng Xiong et al.

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs

Tianyuan Jin, Hao-Lun Hsu, William Chang et al.

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams

Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy et al.

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Chendi Ge, Xin Wang, Ziwei Zhang et al.

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing

Ruisi Zhao, Mingming Li, Zheng Yang et al.

Neural Combinatorial Clustered Bandits for Recommendation Systems

Baran Atalar, Carlee Joe-Wong

A Hierarchical Network for Multimodal Document-Level Relation Extraction

Lingxing Kong, Jiuliang Wang, Zheng Ma et al.

The Cost Perspective of Liquid Democracy: Feasibility and Control

Shiri Alouf-Heffetz, Łukasz Janeczko, Grzegorz Lisowski et al.

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification

Feifei Qian, Lu Bai, Lixin Cui et al.

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting

Feng Shibo, Peilin Zhao, Liu Liu et al.

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding

Zhiqiang Chen, Yang Chen, xiaolong Zou et al.

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection

Tingyi Cai, Yunliang Jiang, Ming Li et al.

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.

Dual-branch Graph Feature Learning for NLOS Imaging

Xiongfei Su, Tianyi Zhu, Lina Liu et al.

Revisiting Attention for Multivariate Time Series Forecasting

Haixiang Wu

EvSTVSR: Event Guided Space-Time Video Super-Resolution

Haojie Yan, Zhan Lu, Zehao Chen et al.

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang et al.

Temporal Numeric Planning with Patterns

Matteo Cardellini, Enrico Giunchiglia

Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions

Yuya Hikima, Akiko Takeda

Fairness Shields: Safeguarding against Biased Decision Makers

Filip Cano, Thomas A. Henzinger, Bettina Könighofer et al.

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

Multi-concept Model Immunization through Differentiable Model Merging

Amber Yijia Zheng, Raymond A. Yeh

Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing

Hao Li, Mengqi Huang, Lei Zhang et al.

Efficient Robustness Evaluation via Constraint Relaxation

Chao Pan, Yu Wu, Ke Tang et al.

Deletion-Robust Submodular Maximization with Knapsack Constraints

Shuang Cui, Kai Han, He Huang

nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder

Maksim Kuznetsov, Airat Valiev, Alex Aliper et al.

Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting

Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan

ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation

Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.

Engineering an Exact Pseudo-Boolean Model Counter

Suwei Yang, Kuldeep S Meel

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment

Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.

BAND: Biomedical Alert News Dataset

Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.

Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis

Jinhao Lin, Yifei Wang, Yanwu Xu et al.

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer

Xinyue Chen, Miaojing Shi, Zijian Zhou et al.

DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization

Qiuxia Wu, Haiyang Huang, Kunming Su et al.

CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics

Ruixin Mao, Aoyu Shen, Lin Tang et al.

LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages

Junchen Li, Qing Yang, Bojian Jiang et al.

Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework

Linfei Li, Lin Zhang, Zhong Wang et al.

Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective

Feiyu Yao, Zongkai Wu, Li Yi

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion

Ling Ding, Lei Huang, Zhizhi Yu et al.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

Yuchen Liu, Chen Chen, Lingjuan Lyu et al.

PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks

Sheng Shang, Chenglong Zhao, Ruixin Zhang et al.

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

Batch Ensemble for Variance Dependent Regret in Stochastic Bandits

Asaf Cassel, Orin Levy, Yishay Mansour

A Unified Framework for Human-Allied Learning of Probabilistic Circuits

Athresh Karanam, Saurabh Mathur, Sahil Sidheekh et al.

BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings

Lam Ngo, Huong Ha, Jeffrey Chan et al.

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

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

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

Detection-Based Intermediate Supervision for Visual Question Answering

Yuhang Liu, Daowan Peng, Wei Wei et al.

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition

Bingjun Luo, Haowen Wang, Jinpeng Wang et al.

K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach

Linhuang Xie, Shihao Gao, Jie Liu et al.

Characterising Simulation-Based Program Equilibria

Emery Cooper, Caspar Oesterheld, Vincent Conitzer

VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting

Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin et al.

Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion

Yuqin Dai, Wanlu Zhu, Ronghui Li et al.

Pantypes: Diverse Representatives for Self-Explainable Models

Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation

Qiyu Kang, Xuhao Li, Kai Zhao et al.

SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation

Wanruo Zhang, Mengyuan Liu, Hong Liu et al.

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models

Xiyu Liu, Zhengxiao Liu, Naibin Gu et al.

Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing

Yafei Li, Wei Chen, Jinxing Yan et al.

Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior

Lee Hyoseok, Kyeong Seon Kim, Kwon Byung-Ki et al.

Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants

Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb et al.

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting

Junhyeok Kang, Yooju Shin, Jae-Gil Lee

Resource Democratization: Is Compute the Binding Constraint on AI Research?

Rebecca Gelles, Veronica Kinoshita, Micah Musser et al.

DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration

Yidi Liu, Dong Li, Jie Xiao et al.

Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence

Zixi Chen, Yumin Xu, Ruixun Zhang

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference

Zewen Jin, Shengnan Wang, Jiaan Zhu et al.

PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition

Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.

Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach

Aowen Wang, Zhiwang Zhang, Dongang Wang et al.

Multi-Branch Self-Drafting for LLM Inference Acceleration

Zipeng Gao, Qingrong Xia, Tong Xu et al.

EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion

Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah et al.

Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions

Sijia Jiang, Tong Wu, Jing Hua et al.

Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRec

Yu-Hsuan Huang, Ling Lo, Hongxia Xie et al.

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience

Ao Liu, Wenshan Li, Tao Li et al.

K-ON: Stacking Knowledge on the Head Layer of Large Language Model

Lingbing Guo, Yichi Zhang, Zhongpu Bo et al.

Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories

Xiaohan Zhang, Zhenyu Sun, Yukui Qiu et al.

ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects

Qihang Cao, Huangxun Chen

DocMamba: Efficient Document Pre-training with State Space Model

Pengfei Hu, Zhenrong Zhang, Jiefeng Ma et al.

Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation

Kuanghong Liu, Jin Wang, Kangjian He et al.

Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment

Xiao Shen, Zhihao Chen, Shirui Pan et al.

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

Mufan Xue, Xinyu Wu, Jinlong Li et al.

Natural Strategic Ability in Stochastic Multi-Agent Systems

Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.

Video Summarization Using Denoising Diffusion Probabilistic Model

Zirui Shang, Yubo Zhu, Hongxi Li et al.

SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing

Ruihuang Li, Liyi Chen, Zhengqiang Zhang et al.

A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning

Minyoung Kim, Timothy Hospedales

Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception

Xiang Zhang, Yufei Cui, Chenchen Fu et al.

Modeling Latent Non-Linear Dynamical System over Time Series

Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai

Efficient Reinforcement Learning in Probabilistic Reward Machines

Xiaofeng Lin, Xuezhou Zhang

SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction

Zhongquan Jian, Yanhao Chen, Jiajian Li et al.

Knowledge-Aware Neuron Interpretation for Scene Classification

Yong Guan, Freddy Lecue, Jiaoyan Chen et al.

Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement

Hyeonjin Kim, Jaejun Yoo

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data

Moonjung Eo, Kyungeun Lee, Hye-Seung Cho et al.

STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers

Bum Jun Kim, Sang Woo Kim

Extract Free Dense Misalignment from CLIP

JeongYeon Nam, Jinbae Im, Wonjae Kim et al.

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham et al.

FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models

Xinye Yang, Yuxin Yang, Haoran Pang et al.

Learning the Topology and Behavior of Discrete Dynamical Systems

Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.

MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder

Yaqi Liu, Shuhuan Chen, Haichao Shi et al.

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA

Jiaang Li, Quan Wang, Zhongnan Wang et al.

QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models

Xiangming Meng, Yoshiyuki Kabashima

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Yanhua Li, Xiaocao Ouyang, Chaofan Pan et al.

An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes

Amar Shah, Federico Mora, Sanjit A. Seshia

ContextHOI: Spatial Context Learning for Human-Object Interaction Detection

Mingda Jia, Liming Zhao, Ge Li et al.

Asymptotic Extinction in Large Coordination Games

Desmond Chan, Bart De Keijzer, Tobias Galla et al.

FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing

Lingling Cai, Kang Zhao, Hangjie Yuan et al.

QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects

Elkhan Ismayilzada, MD Khalequzzaman Chowdhury Sayem, Yihalem Yimolal Tiruneh et al.

Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles

Non-monotone Sequential Submodular Maximization

Shaojie Tang, Jing Yuan

Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations

Stephen Carrow, Kyle Erwin, Olga Vilenskaia et al.

Multi-View 3D Human Pose Estimation with Weakly Synchronized Images

Ling Li, Ruiwen Gu, Chongyang Wang et al.

Reconciling Predictive and Statistical Parity: A Causal Approach

Drago Plecko, Elias Bareinboim

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

Ling Ge, Chunming Hu, Guanghui Ma et al.

Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms

Xianqi Jiao, Jia Liu, Zhiping Chen

A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming

Zeynep G. Saribatur, Stefan Woltran