Most Cited AAAI Paper Papers

An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem

Baiyu Chen, Junwen Ding, Canhui Luo et al.

Faster Double Adaptive Gradient Methods

Feihu Huang, Yuning Luo

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction

Yixuan Li, Can Chen, Jiajun Li et al.

DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem

Shipei Zhou, Yuandong Ding, Chi Zhang et al.

CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics

David Valencia, Henry Williams, Yuning Xing et al.

Expressive Power of Temporal Message Passing

Przemysław Andrzej Wałęga, Michael Rawson

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

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

Quantum Best Arm Identification with Quantum Oracles

Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade et al.

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

FlexPose: Pose Distribution Adaptation with Limited Guidance

Zixiao Wang, Junwu Weng, Mengyuan Liu et al.

Revisiting Attention for Multivariate Time Series Forecasting

Haixiang Wu

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs

Nannan Wu, Yazheng Zhao, Hongdou Dong et al.

Non-Convex Tensor Recovery from Local Measurements

Tongle Wu, Ying Sun, Jicong Fan

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting

Yuhan Wu, Xiyu Meng, Huajin Hu et al.

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection

Haonan Xu, Yang Yang

Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints

Qinfu Xu, Yiwei Wei, Chunlei Wu et al.

Adaptive Market Making with Inventory Constraints via Online Learning

Shan Xue, Ye Du, Liang Xu

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis

Guochen Yan, Luyuan Xie, Xinyi Gao et al.

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

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

Huanhuan Yang, Dianxi Shi, Songchang Jin et al.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

A Generalizable Anomaly Detection Method in Dynamic Graphs

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

Li Xiang, Junbo Yin, Wei Li et al.

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Haibo Jin, Haoxuan Che, Yi Lin et al.

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation

Hui Fu, Zeqing Wang, Ke Gong et al.

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Differentiable Auxiliary Learning for Sketch Re-identification

Xingyu Liu, Xu Cheng, Haoyu Chen et al.

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.

Panoptic Scene Graph Generation with Semantics-Prototype Learning

Li Li, Wei Ji, Yiming Wu et al.

Dynamic Weighted Combiner for Mixed-Modal Image Retrieval

Fuxiang Huang, Lei Zhang, Xiaowei Fu et al.

MatchDet: A Collaborative Framework for Image Matching and Object Detection

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

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.

Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization

Authors: Daizong Liu, Xiang Fang, Xiaoye Qu et al.

DVANet: Disentangling View and Action Features for Multi

View Action Recognition

Far3D: Expanding the Horizon for Surround

View 3D Object Detection

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Taicai Chen, Yue Duan, Dong Li et al.

Adversarial Socialbots Modeling Based on Structural Information Principles

Xianghua Zeng, Hao Peng, Angsheng Li

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition

Youbing Hu, Yun Cheng, Anqi Lu et al.

SwitchTab: Switched Autoencoders Are Effective Tabular Learners

Jing Wu, Suiyao Chen, Qi Zhao et al.

Controllable 3D Face Generation with Conditional Style Code Diffusion

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection

Zhongjie Ba, Qingyu Liu, Zhenguang Liu et al.

Low-Latency Space-Time Supersampling for Real-Time Rendering

Ruian He, Shili Zhou, Yuqi Sun et al.

AMD: Autoregressive Motion Diffusion

Bo Han, Hao Peng, Minjing Dong et al.

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong, Patrick Lederer

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models

Liang Li, Qingyuan Li, Bo Zhang et al.

EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer

Fei Wang, Dan Guo, Kun Li et al.

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

Dong Wei, Xiaoning Sun, Huaijiang Sun et al.

TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

Mengdi Wang, Anna Bodonhelyi, Efe Bozkir et al.

AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose

Huichao Zhang, Bowen Chen, Hao Yang et al.

Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis

Caoyun Fan, Jindou Chen, Yaohui Jin et al.

Say Anything with Any Style

Shuai Tan, Bin Ji, Yu Ding et al.

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

Jie Han, Yixiong Zou, Haozhao Wang et al.

Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification

Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.

O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model

Yubin Hu, Sheng Ye, Wang Zhao et al.

2475 TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification

Transformer as Linear Expansion of Learngene

Shiyu Xia, Miaosen Zhang, Xu Yang et al.

Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints

Shufan Wang, Guojun Xiong, Jian Li

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment

Sheng Zhang, Muzammal Naseer, Guangyi Chen et al.

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

NaRuto: Automatically Acquiring Planning Models from Narrative Texts

Ruiqi Li, Leyang Cui, Songtuan Lin et al.

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding

Yaoyuan Liang, Xiao Liang, Yansong Tang et al.

Generalized Planning in PDDL Domains with Pretrained Large Language Models

Tom Silver, Soham Dan, Kavitha Srinivas et al.

ALISON: Fast and Effective Stylometric Authorship Obfuscation

Eric Xing, Saranya Venkatraman, Thai Le et al.

Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions

Teemu Hankala, Miika Hannula, Juha Kontinen et al.

Approximation Algorithms for Preference Aggregation Using CP-Nets

Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Tailin Wu, Willie Neiswanger, Hongtao Zheng et al.

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

Gang Wu, Junjun Jiang, Kui Jiang et al.

Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation

Hui Cui, Lihai Zhao, Fengling Li et al.

Neuromorphic Event Signal-Driven Network for Video De-raining

ReactGPT: Understanding of Chemical Reactions via In-Context Tuning

Zhe Chen, Zhe Fang, Wenhao Tian et al.

Decoupled Contrastive Learning for Long-Tailed Recognition

Shiyu Xuan, Shiliang Zhang

DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding

Hang Du, Guoshun Nan, Sicheng Zhang et al.

Deep Active Learning with Noise Stability

Xingjian Li, Pengkun Yang, Yangcheng Gu et al.

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng et al.

Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval

Hailang Huang, Zhijie Nie, Ziqiao Wang et al.

Teaching Large Language Models to Translate with Comparison

Jiali Zeng, Fandong Meng, Yongjing Yin et al.

On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling

Xiaobao Wu, Fengjun Pan, Thong Nguyen et al.

Information Design for Congestion Games with Unknown Demand

Svenja M. Griesbach, Martin Hoefer, Max Klimm et al.

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang et al.

Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities

Hammad Ayyubi, Christopher Thomas, Lovish Chum et al.

Set Prediction Guided by Semantic Concepts for Diverse Video Captioning

SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation

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

Selective Deep Autoencoder for Unsupervised Feature Selection

Wael Hassanieh, Abdallah Chehade

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge

Xuan Shen, Peiyan Dong, Lei Lu et al.

CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model

Pengwei Yin, Guanzhong Zeng, Jingjing Wang et al.

PMET: Precise Model Editing in a Transformer

Xiaopeng Li, Shasha Li, Shezheng Song et al.

ExpeL: LLM Agents Are Experiential Learners

Andrew Zhao, Daniel Huang, Quentin Xu et al.

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

Christian Muise, Sheila McIlraith, J. Christopher Beck

All Beings Are Equal in Open Set Recognition

Chaohua Li, Enhao Zhang, Chuanxing Geng et al.

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference

Hongda Sun, Hongzhan Lin, Rui Yan

TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities

Zheyu Zhang, Gang Yang, Yueyi Zhang et al.

Prompting Multi-Modal Image Segmentation with Semantic Grouping

Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation

Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization

Video-Language Aligned Transformer for Video Question Answering

Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence

Zifan Wang, Zhuorui Ye, Haoran Wu et al.

Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference

Weiping Lin, Zhenfeng Zhuang, Lequan Yu et al.

Learning Domain-Independent Heuristics for Grounded and Lifted Planning

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

Efficient Nonparametric Tensor Decomposition for Binary and Count Data

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Block Image Compressive Sensing with Local and Global Information Interaction

Xiaoyu Kong, Yongyong Chen, Feng Zheng et al.

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

Jie Chen, Liangmin Wang, Huijuan Zhu et al.

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering

Jingyu Pu, Chenhang Cui, Xinyue Chen et al.

F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis

Sitong Su, Jianzhi Liu, Lianli Gao et al.

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu et al.

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt

Jiaqi Liu, Kai Wu, Qiang Nie et al.

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Wonjoon Chang, Dahee Kwon, Jaesik Choi

Continuous-Time Graph Representation with Sequential Survival Process

Abdulkadir Celikkanat, Nikolaos Nakis, Morten Mørup

Robust Blind Text Image Deblurring via Maximum Consensus Framework

Zijian Min, Gundu Hassan, GeunSik Jo

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling

Jiujun He, Bin Liu, Guosheng Yin

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum

Zhengliang Shi, Shen Gao, Minghang Zhu et al.

Learning Invariant Inter-pixel Correlations for Superpixel Generation

Sen Xu, Shikui Wei, Tao Ruan et al.

All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation

Pragyan Banerjee, Abhinav Java, Surgan Jandial et al.

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View

Raphael Schumann, Wanrong Zhu, Weixi Feng et al.

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction

Jian Zhu, Congcong Liu, Xue Jiang et al.

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Zihao Yu, Haoyang Li, Fangcheng Fu et al.

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network

Ruyue Liu, Rong Yin, Yong Liu et al.

Model Counting and Sampling via Semiring Extensions

Andreas Goral, Joachim Giesen, Mark Blacher et al.

The Causal Impact of Credit Lines on Spending Distributions

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

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder

Xiaoshui Huang, Zhou Huang, Sheng Li et al.

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

Dong Chen, Yueting Zhuang, Shuo Zhang et al.

QAGait: Revisit Gait Recognition from a Quality Perspective

Zengbin Wang, Saihui Hou, Man Zhang et al.

Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction

Jiacheng Chen, Jiawei Jiang, Fei Wu et al.

MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization

Kunlun Zeng, Ri Cheng, Weimin Tan et al.

Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing

Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.

N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding

Jinhao Tian, Zuchao Li, Jiajia Li et al.

Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement

Ziyu Yue, Jiaxin Gao, Zhixun Su

Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples

Zhidong Yu, Wei Yang, Xike Xie et al.

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

Yibo Wang, Wenhao Yang, Wei Jiang et al.

Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification

Recurrent Partial Kernel Network for Efficient Optical Flow Estimation

Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision

Weibo Gao, Qi Liu, Hao Wang et al.

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Ruihao Gong, Yang Yong, Zining Wang et al.

Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models

Hongwei Yu, Jiansheng Chen, Xinlong Ding et al.

Social Physics Informed Diffusion Model for Crowd Simulation

Hongyi Chen, Jingtao Ding, Yong Li et al.

Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

Zexin Hu, Kun Hu, Clinton Mo et al.

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

Lu Liu, Mingyu Xiao, Yi Zhou

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi et al.

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

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

Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit

Shintaro Nakamura, Masashi Sugiyama

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik et al.

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

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang et al.

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao et al.

Tackling Vision Language Tasks through Learning Inner Monologues

Diji Yang, Kezhen Chen, Jinmeng Rao et al.

Mutual-Modality Adversarial Attack with Semantic Perturbation

Jingwen Ye, Ruonan Yu, Songhua Liu et al.

Mitigating Label Noise through Data Ambiguation

Julian Lienen, Eyke Hüllermeier

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao et al.

A General Implicit Framework for Fast NeRF Composition and Rendering

Xinyu Gao, Ziyi Yang, Yunlu Zhao et al.

SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing

Wenmin Huang, Weiqi Luo, Jiwu Huang et al.

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee et al.

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao et al.

High-Fidelity Gradient Inversion in Distributed Learning

Zipeng Ye, Wenjian Luo, Qi Zhou et al.

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection

2964 Jun Wei, S. Kevin Zhou, Shuguang Cui et al.

Online Sensitivity Optimization in Differentially Private Learning

8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta

SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain

9044 Zhifeng Zhu, Yaochen Li, Yifan Li et al.

Bayesian Inference with Complex Knowledge Graph Evidence

12846 Armin Toroghi, Scott Sanner

Towards More Likely Models for AI Planning

11625 Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.

Generation and Classification Reframing

Fenglong Ma, Hongyang Chen, Hong Yu et al.

Cross-Domain Contrastive Learning for Time Series Clustering

Furong Peng, Jiachen Luo, Xuan Lu et al.

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting

Zhiliang Wu, Changchang Sun, Hanyu Xuan et al.

Nearly Equitable Allocations beyond Additivity and Monotonicity

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

Zachary Horvitz, Ajay Patel, Chris Callison-Burch et al.

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games

Pengdeng Li, Runsheng Yu, Xinrun Wang et al.

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji et al.

Stitching Segments and Sentences towards Generalization in Video-Text Pre-training

Fan Ma, Xiaojie Jin, Heng Wang et al.

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization

Soumia Boucherouite, Grigory Malinovsky, Peter Richtarik et al.

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross

Domain Recommendation

The Irrelevance of Influencers: Information Diffusion with Re

Activation and Immunity Lasts Exponentially Long on Social Network Models

Can Large Language Models Understand Real

World Complex Instructions?

MoDE: A Mixture

of-Experts Model with Mutual Distillation among the Experts

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

Le Cheng, Peican Zhu, Keke Tang et al.

A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image

Nailei Hei, Qianyu Guo, Zihao Wang et al.

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei xu, Cheng Zhou, Yizheng Zhang et al.

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making

Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization

Zhenwei Lin, Jingfan Xia, Qi Deng et al.

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming

Haotian Ling, Zhihai Wang, Jie Wang

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space

Mohsin Hasan, Guojun Zhang, Kaiyang Guo et al.

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

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera

Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.

AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion

Beibei Jing, Youjia Zhang, Zikai Song et al.

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking

Xingyu Zhu, Guanhui Ye, Xiapu Luo et al.

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

Luisa Werner, Nabil Layaïda, Pierre Genevès et al.

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data

Xin Zou, Weiwei Liu

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu et al.

Arbitrary-Scale Video Super-resolution Guided by Dynamic Context

Cong Huang, jiahao Li, Lei Chu et al.

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation

Guy Yariv, Itai Gat, Sagie Benaim et al.

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving

Haicheng Liao, Zhenning Li, Huanming Shen et al.