Most Cited AAAI "decoding strategy optimization" Papers

G2L-CariGAN: Caricature Generation from Global Structure to Local Features

Xin Huang, Yunfeng Bai, Dong Liang et al.

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting

Yudong Zhang, Xu Wang, Xuan Yu et al.

Deep Reinforcement Learning with Time-Scale Invariant Memory

Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

LaViP: Language-Grounded Visual Prompting

Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem

Koji Ichikawa, Shinji Ito, Daisuke Hatano et al.

Integrating Low-Level Visual Cues for Enhanced Unsupervised Semantic Segmentation

Yuhao Qing, Dan Zeng, Shaorong Xie et al.

HVAdam: A Full-Dimension Adaptive Optimizer

Yiheng Zhang, Shaowu Wu, Yuanzhuo Xu et al.

Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generation

Shoukun Sun, Min Xian, Tiankai Yao et al.

Omnidirectional Image Super-resolution via Bi-projection Fusion

Jiangang Wang, Yuning Cui, Yawen Li et al.

Imagine: Image-Guided 3D Part Assembly with Structure Knowledge Graph

Weihao Wang, Yu Lan, Mingyu You et al.

FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-based Pixel-level Data Synthesis

Wenzhuang Wang, Mingcan Ma, Yong Chen et al.

DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy

Xi Wang, Xueyang Fu, Liang Li et al.

Reasoning over Uncertain Text by Generative Large Language Models

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

PromptHaze: Prompting Real-world Dehazing via Depth Anything Model

Tian Ye, Sixiang Chen, Haoyu Chen et al.

Mechanism Design for Connecting Regions Under Disruptions

Hau Chan, Jianan Lin, Zining Qin et al.

Scalable Acceleration for Classification-Based Derivative-Free Optimization

Tianyi Han, Jingya Li, Zhipeng Guo et al.

Multi-view Evidential Learning-based Medical Image Segmentation

Chao Huang, Yushu Shi, Waikeung Wong et al.

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.

Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP

Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.

Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation

Haoran Liu, Youzhi Luo, Tianxiao Li et al.

On Local Overfitting and Forgetting in Deep Neural Networks

Uri Stern, Tomer Yaacoby, Daphna Weinshall

STLC-KG:A Social Text Steganalysis Method Combining Large-Scale Language Models and Common-Sense Knowledge Graphs

Zhuang Wang, Linna Zhou, Xuekai Chen et al.

McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension

Tongguan Wang, Mingmin Wu, Guixin Su et al.

Provably Secure Image Robust Steganography via Cross-modal Error Correction

Yuang Qi, Kejiang Chen, Na Zhao et al.

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits

Bo Xue, Xi Lin, Xiaoyuan Zhang et al.

Tensorized Label Learning Based Fast Fuzzy Clustering

Xingyu Xue, Jingjing Xue, Quanxue Gao et al.

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport

Yuguang Yan, Canlin Yang, Yuanlin Chen et al.

Individually Stable Dynamics in Coalition Formation over Graphs

Angelo Fanelli, Laurent Gourvès, Ayumi Igarashi et al.

Robust Blind Text Image Deblurring via Maximum Consensus Framework

Zijian Min, Gundu Hassan, GeunSik Jo

SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion

Chuhong Yang, Bin Li, Nan Wu

Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs

Tony Gracious, Arman Gupta, Ambedkar Dukkipati

Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models

Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães et al.

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

Qinfu Xu, Yiwei Wei, Chunlei Wu et al.

Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation

Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy

Flexible Sharpness-Aware Personalized Federated Learning

Xinda Xing, Qiugang Zhan, Xiurui Xie et al.

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

Yuhan Wu, Xiyu Meng, Huajin Hu et al.

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

Zhiqiang Wang, Jiayu Guo, Jianqing Liang et al.

Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens

Zichen Wang, Feng Yan, Tianyi Wang et al.

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Yuewen Sun, Erli Wang, Biwei Huang et al.

Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning

Kun Wei, Zhe Xu, Cheng Deng

Contrastive Representation for Interactive Recommendation

Jingyu Li, Zhiyong Feng, Dongxiao He et al.

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression

Botao Zhao, Xiaoyang Qu, Zuheng Kang et al.

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning

Gangqiang Hu, Jianfeng Lu, Jianmin Han et al.

Probabilistic Strategy Logic with Degrees of Observability

Chunyan Mu, Nima Motamed, Natasha Alechina et al.

SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation

Meng-zhu Wang

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes

Qingmei Wang, Yuxin Wu, Yujie Long et al.

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

Baiyu Chen, Junwen Ding, Canhui Luo et al.

Searching for and Avoiding Hidden Sets Using Queries with Local Feedback

Tomasz Jurdzinski, Dariusz R. Kowalski

Improved Approximation Algorithms for Clustered TSP and Subgroup Planning

Jingyang Zhao, Mingyu Xiao, Junqiang Peng et al.

When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach

Feifei Zhang, Zhaoyi Zhang, Xi Zhang et al.

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects

Hisayoshi Nanmo, Manabu Kuroki

Counterfactual Online Learning for Open-Loop Monte-Carlo Planning

Thomy Phan, Shao-Hung Chan, Sven Koenig

Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces

Wonhyeok Choi, Kyumin Hwang, Minwoo Choi et al.

Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations

Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou

State Encodings for GNN-Based Lifted Planners

Rostislav Horčik, Gustav Šír, Vítězslav Šimek et al.

Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation

Elisa Tosello, Alessandro Valentini, Andrea Micheli

Told You That Will Not Work: Optimal Corrections to Planning Domains Using Counter-Example Plans

Songtuan Lin, Alban Grastien, Rahul Shome et al.

Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding

Yuxiang Zhang, Jitao Sang

MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning

Liwen Zheng, Chaozhuo Li, Litian Zhang et al.

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models

Mingzhao Yang, Shangchao Su, Bin Li et al.

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang et al.

Parametric ρ-Norm Scaling Calibration

Siyuan Zhang, Linbo Xie

Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency

Hanyu Zhao, Li Du, Yiming Ju et al.

Encoding Constraints as Binary Constraint Networks Satisfying BTP

DEQA: Descriptions Enhanced Question-Answering Framework for Multimodal Aspect-Based Sentiment Analysis

Zhixin Han, Mengting Hu, Yinhao Bai et al.

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation

Hongwei Yuan, Xiu Tang, Ke Chen et al.

Fine-Tuning Language Models with Collaborative and Semantic Experts

Jiaxi Yang, Binyuan Hui, Min Yang et al.

FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement

Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.

PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers

Siyuan Wu, Yongzhe Jia, Bowen Liu et al.

Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement

Wuliang Huang, Yiqiang Chen, Xinlong Jiang et al.

Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs

Guoqing Wang, Wen Wu, Guangze Ye et al.

A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation

Bingbing Wang, Yiming Du, Bin Liang et al.

Multiple Mean-Payoff Optimization Under Local Stability Constraints

David Klaška, Antonín Kučera, Vojtěch Kůr et al.

Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?

Yang Liu, Xiaoping Wang, Kai Lu

A Matching-Based Algorithm for the Traveling Tournament Problem

Jingyang Zhao, Mingyu Xiao

Inapproximability of Optimal Multi-Agent Pathfinding Problems

Xing Tan, Alban Grastien

Augmenting Online Algorithms for Knapsack Problem with Total Weight Information

Binghan Wu, Wei Bao, Bing Bing Zhou

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning

Zhiyuan Ma, Zhenya Huang, Jiayu Liu et al.

Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts

Jiaqing Liu, Chong Deng, Qinglin Zhang et al.

Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis

Qi Lian, Yu Qi, Yueming Wang

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic

Maximilian Pflüger, David Tena Cucala, Egor Kostylev

ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling

Jianan Jiang, Hao Tang, Zhilin Jiang et al.

Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding

Dongdong Kuang, Richong Zhang, Zhijie Nie et al.

COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction

Zhichao Duan, Tengyu Pan, Zhenyu Li et al.

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale

Randy Ardywibowo, Rakesh Sunki, Shin Tsz Lucy Kuo et al.

Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent

Yu-Chuan Chen, Hen-Hsen Huang

Attributive Reasoning for Hallucination Diagnosis of Large Language Models

Yuyan Chen, Zehao Li, Shuangjie You et al.

Multi-Granularity Video Object Segmentation

Sangbeom Lim, Seongchan Kim, Seungjun An et al.

Universal Weak Coreset

Ragesh Jaiswal, Amit Kumar

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

Xuan Liu, Siqi Cai, Qihua Zhou et al.

SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away

Jiliang Hu, Jiajia Li, Ziyi Pan et al.

Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference

Jiangou Zhan, Wenhui Zhang, Zheng Zhang et al.

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

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

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

Simplifying Control Mechanism in Text-to-Image Diffusion Models

Zhida Feng, Li Chen, Yuenan Sun et al.

CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework

Han Fang, Kejiang Chen, Zijin Yang et al.

Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning

Alessandro La Farciola, Alessandro Valentini, Andrea Micheli

FATE: Feature-Adapted Parameter Tuning for Vision-Language Models

Zhengqin Xu, Zelin Peng, Xiaokang Yang et al.

Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph

Chenlong Wu, Ze Wang, Keqing Cen et al.

Federated Recommendation with Explicitly Encoding Item Bias

Zhihao Wang, He Bai, Wenke Huang et al.

RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation

Jia Zhu, Hanghui Guo, Weijie Shi et al.

WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning

Jia Zeng, Lan Huang, Kangping Wang

Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation

Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.

MP: Endowing Large Language Models with Lateral Thinking

Tian Bai, Yongwang Cao, Yan Ge et al.

Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning

Shengyuan Bai, Qibin Li, Zhe Wang et al.

Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding

Mingyue Zhang, Nianyu Li, Yi Chen et al.

Selective Deep Autoencoder for Unsupervised Feature Selection

Wael Hassanieh, Abdallah Chehade

Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities

Yue Zhang, Zhe Chen, Daniel Harabor et al.

Code-switching Mediated Sentence-level Semantic Learning

Shuai Zhang, Jiangyan Yi, Zhengqi Wen et al.

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate

Jiazheng Jing, Yinan Zhang, Chunyan Miao

An Open-Ended Learning Framework for Opponent Modeling

Yuheng Jing, Kai Li, Bingyun Liu et al.

ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image

Jinkun Hao, Junshu Tang, Jiangning Zhang et al.

Orpheus: Engineering Multiagent Systems via Communicating Agents

Matteo Baldoni, Samuel H. Christie V, Munindar P. Singh et al.

Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks

Yuankun Zu, Shiyu Xia, Xu Yang et al.

Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction

Shuyang Dong, Meiyi Ma, Josephine Lamp et al.

Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update

Zikun Zhou, Wen Huang, Xingyi Wang et al.

Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval

Ruifan Zuo, Chaoqun Zheng, Lei Zhu et al.

On Probabilistic Truncation in Privacy-preserving Machine Learning

Lijing Zhou, Bingsheng Zhang, Ziyu Wang et al.

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution

Mengjie Wu, Jingui Ma, Run Wang et al.

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

Yufei Huang, Siyuan Li, Lirong Wu et al.

Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor

Qi Zhao, Christian Wressnegger

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition

Han Lu, Xiahai Zhuang, Qiang Luo

Evolutionary Classifier Chain for Multi-Dimensional Classification

Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang

M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning

Jinhao Lin, Ziheng Wu, Weifeng Lin et al.

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

Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.

Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing

Letian Yu, Jiaxi Yang, Bo Dong et al.

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang et al.

Variable Importance in High-Dimensional Settings Requires Grouping

Yifan Lu, Ziqi Zhang, Chunfeng Yuan et al.

3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling

Zichen Tang, Hongyu Yang, Hanchen Zhang et al.

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning

Swann Bessa, Darius Dabert, Max Bourgeat et al.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, Sihang Zhou, Meng Liu et al.

Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval

Tianlong Zhang, Zhe Xue, Adnan Mahmood et al.

Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation

Xinge Ma, Jin Wang, Xuejie Zhang

HyperDefender: A Robust Framework for Hyperbolic GNNs

Nikita Malik, Rahul Gupta, Sandeep Kumar

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization

Haozhen Zhang, Zhaogeng Liu, Bin Gu et al.

Text-Guided Nonverbal Enhancement Based on Modality-Invariant and -Specific Representations for Video Speaking Style Recognition

Beibei Zhang, Tongwei Ren, Gangshan Wu

Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer

Mingze Yin, Hanjing Zhou, Yiheng Zhu et al.

BiMAC: Bidirectional Multimodal Alignment in Contrastive Learning

Masoumeh Zareapoor, Pourya Shamsolmoali, Yue Lu

AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent

Hangyu Ye, Weiying Xie, Yunsong Li et al.

Fairness without Demographics through Shared Latent Space-Based Debiasing

Rashidul Islam, Huiyuan Chen, Yiwei Cai

From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks

Xianda Zhang, Baolin Zheng, Jianbao Hu et al.

Continual Unsupervised Generative Modelling via Online Optimal Transport

Fei Ye, Adrian G. Bors, Kun Zhang

Delegation-Relegation for Boolean Matrix Factorization

Florent Avellaneda, Roger Villemaire

Exploring the Better Multimodal Synergy Strategy for Vision-Language Models

Xiaotian Yin, Xin Liu, Si Chen et al.

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation

Mu You, Fang Zhang, Shuai Zhang et al.

Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective

You Zhang, Jin Wang, Liang-Chih Yu et al.

Graph Consistency and Diversity Measurement for Federated Multi-View Clustering

Bohang Sun, Yongjian Deng, Yuena Lin et al.

Boosting Test Performance with Importance Sampling--a Subpopulation Perspective

Hongyu Shen, Zhizhen Zhao

964 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features

Neha Kalibhat, Kanika Narang, Hamed Firooz et al.

3752 Decoupled Textual Embeddings for Customized Image Generation

Yufei Cai, Yuxiang Wei, Zhilong Ji et al.

Calibrated Disambiguation for Partial Multi-label Learning

Zhuoming Li, Yuheng Jia, Mi Yu et al.

Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation

Jingqiao Xiu, Mengze Li, Zongxin Yang et al.

Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere

Sensen Zhang, Xun Liang, Simin Niu et al.

Improving Private Random Forest Prediction Using Matrix Representation

Arisa Tajima, Joie Wu, Amir Houmansadr

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning

Hao Ma, Shijie Wang, Zhiqiang Pu et al.

Model Lineage Closeness Analysis

Chen Tang, Lan Zhang, Qi Zhao et al.

Achieving Balanced Representation in School Choice with Diversity Goals

Zhaohong Sun, Makoto Yokoo

A Lightweight Sparse Interaction Network for Time Series Forecasting

Xu Zhang, Qitong Wang, Peng Wang et al.

Online MDP with Prototypes Information: A Robust Adaptive Approach

Shuo Sun, Meng Qi, Zuo-Jun Max Shen

Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks

Yanwei Yue, Guibin Zhang, Haoran Yang et al.

PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System

Hao Ren, Xiao Lan, Rui Tang et al.

Slice-and-Pack: Tailoring Deep Models for Customized Requirements

Ruice Rao, Dingwei Li, Ming Li

Interpretable Solutions for Multi-Physics PDEs Using T-NNGP

Lulu Cao, Zexin Lin, Kay Chen Tan et al.

Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors

Yalan Qin, Guorui Feng, Xinpeng Zhang

Clustering by Mining Density Distributions and Splitting Manifold Structure

Zhichang Xu, Zhiguo Long, Hua Meng

Data Augmentation for Instruction Following Policies via Trajectory Segmentation

Niklas Hoepner, Ilaria Tiddi, Herke van Hoof

TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning

Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.

Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning

Min Gao, Haifeng Zheng, Xinxin Feng et al.

Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels

Renat Sergazinov, Richard Chen, Cheng Ji et al.

Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization

Songtao Feng, Michael Dorothy, Jie Fu

Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval

Yu Liu, Guihe Qin, Haipeng Chen et al.

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data

Zhuang Qi, Lei Meng, Zhaochuan Li et al.

LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs

Kai Chen, Xin Song, Ye Wang et al.

TinySubNets: An Efficient and Low Capacity Continual Learning Strategy

Marcin Pietron, Kamil Faber, Dominik Żurek et al.

Deep Disentangled Metric Learning

Jinhee Park, Jisoo Park, Dagyeong Na et al.

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning

Danni Peng, Yuan Wang, Huazhu Fu et al.

CAMH: Advancing Model Hijacking Attack in Machine Learning

Xing He, Jiahao Chen, Yuwen Pu et al.

DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization

Danyeong Lee, Dohoon Lee, Dongmin Bang et al.

ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models

Zhenhua Meng, Fanshen Meng, Rongheng Lin et al.

Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training

Ji Won Yoon

Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection

Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije

Fair Division via the Cake-Cutting Share

Yannan Bai, Kamesh Munagala, Yiheng Shen et al.

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

Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.

From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization

Xueyi Wang, Lele Zhang, Zheng Fan et al.

Emergence-Inspired Multi-Granularity Causal Learning

Hanwen Luo, Guoxian Yu, Jun Wang et al.

Multi-Objective Molecular Design Through Learning Latent Pareto Set

Yiping Liu, Jiahao Yang, Xuanbai Ren et al.

Adaptive-Grained Label Distribution Learning

Yunan Lu, Weiwei Li, Dun Liu et al.

Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback

Xiang Liu, Hau Chan, Minming Li et al.

PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement

Wei Qian, Gaoji Su, Dan Guo et al.

Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily

Siqi Liu, Dongxiao He, Zhizhi Yu et al.

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

Liang He, Yunan Lu, Weiwei Li et al.

Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction

Ge Meng, Jingyan Tu, Jingjia Huang et al.

Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation

Rui Shi, Yishun Dou, Zhong Zheng et al.

Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models

Yu Sheng, Linjing Li, Daniel Dajun Zeng

ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction

Zixiao Kong, Xianquan Wang, Shuanghong Shen et al.

How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning

Di-Nan Lin, Yao Jui-Feng, Kun-Da Wu et al.