Most Cited AAAI "audio retrieval" Papers
5,317 papers found • Page 20 of 27
Conference
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
Meng Pang, Houwei Xu, Zheng Huang et al.
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation
Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
Yinxu Tang, Stylianos Loukas Vasileiou, William Yeoh
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian, Ruijie Quan, Fan Ma et al.
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning
Hao Wang, Li Xu, Yuntao Yu et al.
Debiased Multimodal Understanding for Human Language Sequences
Zhi Xu, Dingkang Yang, Mingcheng Li et al.
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation
Yao Yao, Peike Li, Boyu Chen et al.
MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning
Muzhou Yu, Shuyun Lin, Hongwei Yan et al.
CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information
Kaifan Zhang, Lihuo He, Xin Jiang et al.
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
Qiuyun Zhang, Bin Guo, Lina Yao et al.
Learning to Collaborate with Unknown Agents in the Absence of Reward
Zuyuan Zhang, Hanhan Zhou, Mahdi Imani et al.
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning
Ervine Zheng, Qi Yu
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
Gongtao Zhou, Haoran Yu
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
Mingquan Feng, Zhijie Chen, Yixin Huang et al.
GNN-Transformer Task Planning Enhanced with Semantic-Driven Data Augmentation
Soojin Jeong, Seongwan Byeon, Sangwoo Kim et al.
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning
Peida Jia, Xuanheng Li, Tianqiang Zhu et al.
State-Based Disassembly Planning
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
FloNa: Floor Plan Guided Embodied Visual Navigation
Jiaxin Li, Weiqi Huang, Zan Wang et al.
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints
Dolev Mutzari, Yonatan Aumann, Sarit Kraus
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
Xianxu Qiu, Haiming Huang, Weiwei Chen et al.
BEVSync: Asynchronous Data Alignment for Camera-based Vehicle-Infrastructure Cooperative Perception Under Uncertain Delays
Wentao Wang, Jiaqian Wang, Yuxin Deng et al.
GMAP: Generalized Manipulation of Articulated Objects in Robotic Using Pre-trained Model
Hongliang Zeng, Ping Zhang, Fang Li et al.
FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation
Qinglun Zhang, Zhen Liu, Haoqiang Fan et al.
ASP-Driven Emergency Planning for Norm Violations in Reinforcement Learning
Sebastian Adam, Thomas Eiter
Minimal Change in Modal Logic S5
Carlos Aguilera-Ventura, Jonathan Ben-Naim, Andreas Herzig
Fast Computing of Dung Semantics in Acyclic Probabilistic Argumentation Frameworks
Stefano Bistarelli, Victor David, Pierre Monnin et al.
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
Wei Chen, Yuting Wu, Shuhan Wu et al.
Answering Conjunctive Queries with Safe Negation and Inequalities over RDFS Knowledge Bases
Gianluca Cima, Marco Console, Roberto Maria Delfino et al.
Germane Conflicts: Desirable Properties for Localising Inconsistency
Glauber de Bona, Anthony Hunter
Situation Calculus Temporally Lifted Abstractions for Generalized Planning
Giuseppe de Giacomo, Yves Lespérance, Matteo Mancanelli
A Computationally Grounded Framework for Cognitive Attitudes
Tiago de Lima, Emiliano Lorini, Elise Perrotin et al.
Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth
Mateus de Oliveira Oliveira
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
Hao Dong, Zheyuan Shi, Hemeng Zeng et al.
Solving Epistemic Logic Programs Using Generate-and-Test with Propagation
Jorge Fandinno, Lute Lillo
On the Logic of Theory Base Change: Reformulation of Belief Bases
Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez
Argumentative Large Language Models for Explainable and Contestable Claim Verification
Gabriel Freedman, Adam Dejl, Deniz Gorur et al.
First-Order Automata
Luca Geatti, Alessandro Gianola, Nicola Gigante
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models
Maksim Gladyshev, Natasha Alechina, Mehdi Dastani et al.
LTLf Synthesis Under Unreliable Input
Christian Hagemeier, Giuseppe de Giacomo, Moshe Y. Vardi
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation
Jesse Heyninck
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments
Till Hofmann, Jens Claßen
New Compilation Languages Based on Restricted Weak Decomposability
Petr Illner
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming
Yusuf Izmirlioglu
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
Yue Jian, Xiangyu Luo, Zhifei Li et al.
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity
Ruiqi Jin, Yongmei Liu, Liping Xiong
On Action Theories with Iterable First-Order Progression
Daxin Liu, Jens Claßen
Spectra of Cardinality Queries over Description Logic Knowledge Bases
Quentin Manière, Marcin Przybyłko
Temporal Specification Optimisation for the Event Calculus
Periklis Mantenoglou, Alexander Artikis
Consistent Query Answering over Existential Rules with Open and Closed Predicates
Lorenzo Marconi, Riccardo Rosati
Probabilistic Strategy Logic with Degrees of Observability
Chunyan Mu, Nima Motamed, Natasha Alechina et al.
Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs
Ryoma Onaka, Kengo Nakamura, Masaaki Nishino et al.
A Logical Analysis of Hanabi
Elise Perrotin
Checking Consistency of CP-Theory Preferences in Polynomial Time
Erik Rauer, Samik Basu, Vasant Honavar
Shield Synthesis for LTL Modulo Theories
Andoni Rodríguez, Guy Amir, Davide Corsi et al.
A Variable Occurrence-Centric Framework for Inconsistency Handling
Yakoub Salhi
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
Yu Sheng, Linjing Li, Daniel Dajun Zeng
Joint Knowledge Editing for Information Enrichment and Probability Promotion
Wenhang Shi, Yiren Chen, Shuqing Bian et al.
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
Guokai Sun, Yuan Zhuang, Shuo Zhang et al.
Column-Oriented Datalog on the GPU
Yihao Sun, Sidharth Kumar, Thomas Gilray et al.
SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks
Wentao Wan, Zhuojie Yang, Yongcan Chen et al.
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
Ruolin Wang, Yuejiao Xu, Jianmin Ji
Goal-Driven Reasoning in DatalogMTL with Magic Sets
Shaoyu Wang, Kaiyue Zhao, Dongliang Wei et al.
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
Yajing Wang, Zongwei Luo, Jingzhe Wang et al.
Temporal Conjunctive Query Answering via Rewriting
Lukas Westhofen, Jean Christoph Jung, Daniel Neider
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
Chuhong Yang, Bin Li, Nan Wu
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking
Bo Zhang, Jianghua Zhu, Chaozhuo Li et al.
A Theory of Formalisms for Representing Knowledge
Heng Zhang, Guifei Jiang, Donghui Quan
Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning
Daoming Zong, Chaoyue Ding, Kaitao Chen et al.
SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning
Wenqian Li, Pengfei Fang, Hui Xue
Exponential-Family Harmoniums with Neural Sufficient Statistics
Azwar Abdulsalam, Joseph G. Makin
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
Amr Abourayya, Jens Kleesiek, Kanishka Rao et al.
Bootstrapped Reward Shaping
Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin et al.
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P et al.
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Antonios Alexos, Ian Domingo, Pierre Baldi
Unleashing the Potential of Model Bias for Generalized Category Discovery
Wenbin An, Haonan Lin, Jiahao Nie et al.
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data
Bailey Andrew, David R. Westhead, Luisa Cutillo
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady
List Update with Prediction
Yossi Azar, Shahar Lewkowicz, Varun Suriyanarayana
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
Seungheun Baek, Soyon Park, Yan Ting Chok et al.
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
Yunwei Bai, Ying Kiat Tan, Shiming Chen 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.
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity
Hongyan Bao, Pengwen Chen, Ying Sun et al.
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie et al.
Deep-Union Completion
Siddharth Baskar, Karan Vikyath Veeranna Rupashree, Daniel L. Pimentel-Alarcón
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time
Gabriel Bathie, Guillaume Lagarde
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao et al.
Teaching Models to Improve on Tape
Liat Bezalel, Eyal Orgad, Amir Globerson
Learnability of Parameter-Bounded Bayes Nets
Arnab Bhattacharyya, Davin Choo, Sutanu Gayen et al.
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
Arthur Bizzi, Lucas Nissenbaum, João M. Pereira
Weighted Embeddings for Low-Dimensional Graph Representation
Thomas Bläsius, Jean-Pierre von der Heydt, Maximilian Katzmann et al.
Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
Kristin Blesch, Niklas Koenen, Jan Kapar et al.
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
Serena Bono, Spandan Madan, Ishaan Grover et al.
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning
Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
Fairness Shields: Safeguarding against Biased Decision Makers
Filip Cano, Thomas A. Henzinger, Bettina Könighofer et al.
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty, Vinayak Gupta, Rahul R et al.
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
Guoqing Chao, Kaixin Xu, Xijiong Xie et al.
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Honghao Wei et al.
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space
Ao Chen, Xiren Zhou, Huanhuan Chen
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
Boyu Chen, Peike Li, Yao Yao et al.
Biased Incomplete Multi-View Learning
Haishun Chen, Cai Xu, Ziyu Guan et al.
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen, Denis Krompaß, Jindong Gu et al.
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities
Junchi Chen, Richong Zhang, Junfan Chen
Federated Foundation Models on Heterogeneous Time Series
Shengchao Chen, Guodong Long, Jing Jiang et al.
Learnware Specification via Label-Aware Neural Embedding
Wei Chen, Jun-Xiang Mao, Min-Ling Zhang
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
Xi Chen, Zhihui Zhu, Andrew Perrault
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
Xiaobing Chen, Xiangwei Zhou, Songyang Zhang et al.
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
Xu-Yang Chen, Lu Han, De-Chuan Zhan et al.
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
Yangkun Chen, Kai Yang, Jian Tao et al.
Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing
Yiyuan Chen, Donghai Guan, Weiwei Yuan et al.
GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling
Yujie Chen, Wenhui Wu, Le Ou-Yang et al.
Attack-inspired Calibration Loss for Calibrating Crack Recognition
Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang et al.
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
Minjie Cheng, Dixin Luo, Hongteng Xu
Deep Implicit Imitation Reinforcement Learning in Heterogeneous Action Settings
Iason Chrysomallis, Georgios Chalkiadakis, Ioannis Papamichail et al.
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.
Probabilistic Shielding for Safe Reinforcement Learning
Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall
Neural Variable-Order Fractional Differential Equation Networks
Wenjun Cui, Qiyu Kang, Xuhao Li et al.
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
Yawen Cui, Li Liu, Zitong Yu et al.
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class
Annie D'souza, Swetha M, Sunita Sarawagi
Creating Coherence in Federated Non-Negative Matrix Factorization
Sebastian Dalleiger, Aristides Gionis
Federated Binary Matrix Factorization Using Proximal Optimization
Sebastian Dalleiger, Jilles Vreeken, Michael Kamp
Skill Disentanglement in Reproducing Kernel Hilbert Space
Vedant Dave, Elmar Rueckert
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
Aram Davtyan, Sepehr Sameni, Björn Ommer et al.
Relational Neurosymbolic Markov Models
Lennert De Smet, Gabriele Venturato, Luc De Raedt et al.
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
Bowen Deng, Tong Wang, Lele Fu et al.
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
Jingda Deng, Jianyong Sun, Qingfu Zhang et al.
Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
Shilong Deng, Zetao Zheng, Hongcai He et al.
Enhancing Multimodal Affective Analysis with Learned Live Comment Features
Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
Wenjun Ding, Ying An, Lixing Chen et al.
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games
Shaokang Dong, Chao Li, Shangdong Yang et al.
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
Shuyu Dong, Michele Sebag, Kento Uemura et al.
AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints
Zhiwei Dong, Mingzhu Shen, Shihao Bai et al.
On the Hardness of Training Deep Neural Networks Discretely
Ilan Doron-Arad
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
Wei Du, Hongmin Sun, Hang Gao et al.
Active Reinforcement Learning Strategies for Offline Policy Improvement
Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta et al.
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun, Mirian Del Carmen Hipolito Garcia, Guoqing Zheng et al.
Proportionally Fair Matching via Randomized Rounding
Sharmila Duppala, Nathaniel Grammel, Juan Luque et al.
Linking Industry Sectors and Financial Statements: A Hybrid Approach for Company Classification
Guy Stephane Waffo Dzuyo, Gaël Guibon, Christophe Cerisara et al.
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad et al.
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
Wenzhe Fan, Zishun Yu, Chengdong Ma et al.
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
Hui Fang, Yang Gao, Peng Zhang et al.
3SAT: A Simple Self-Supervised Adversarial Training Framework
Jiang Fang, Haonan He, Jiyan Sun et al.
Rapid Learning in Constrained Minimax Games with Negative Momentum
Zijian Fang, Zongkai Liu, Chao Yu et al.
Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization
Songtao Feng, Michael Dorothy, Jie Fu
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization
Wei Feng, Danting Liu, Qianqian Wang et al.
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
Weilun Feng, Haotong Qin, Chuanguang Yang et al.
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
Xuening Feng, Zhaohui Jiang, Timo Kaufmann et al.
Incremental Nyström-based Multiple Kernel Clustering
Yu Feng, Weixuan Liang, Xinhang Wan et al.
A Unifying Information-theoretic Perspective on Evaluating Generative Models
Alexis Fox, Samarth Swarup, Abhijin Adiga
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
Lele Fu, Sheng Huang, Yanyi Lai et al.
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Xingbo Fu, Zihan Chen, Yinhan He et al.
Accurate Estimation of Feature Importance Faithfulness for Tree Models
Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki et al.
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante, Giovanni Neglia, Emilio Leonardi
QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception
Fei Gao, Ying Zhou, Ziyun Li et al.
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning
Min Gao, Haifeng Zheng, Xinxin Feng et al.
Asymmetric Reinforcing Against Multi-Modal Representation Bias
Xiyuan Gao, Bing Cao, Pengfei Zhu et al.
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning
Zijian Gao, Shanhao Han, Xingxing Zhang et al.
Personalized Clustering via Targeted Representation Learning
Xiwen Geng, Suyun Zhao, Yixin Yu et al.
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning
Fengjiiao Gong, Angxiao Yue, Hongteng Xu
Conformal Prediction for Partial Label Learning
Xiuwen Gong, Nitin Bisht, Guandong Xu
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
Xueping Gong, Jiheng Zhang
Offline Safe Reinforcement Learning Using Trajectory Classification
Ze Gong, Akshat Kumar, Pradeep Varakantham
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Tony Gracious, Arman Gupta, Ambedkar Dukkipati
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio et al.
Heterogeneous Graph Neural Network on Semantic Tree
Mingyu Guan, Jack W Stokes, Qinlong Luo et al.
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment
Haoren Guo, Haiyue Zhu, Jiahui Wang et al.
Exploring Vacant Classes in Label-Skewed Federated Learning
Kuangpu Guo, Yuhe Ding, Jian Liang et al.
Federated Causally Invariant Feature Learning
Xianjie Guo, Kui Yu, Lizhen Cui et al.
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
Qiuru Hai, Yongjian Deng, Yuena Lin et al.
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Karina Halevy, Karly Hou, Charumathi Badrinath
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
Jin Han, Yun Hong, Wu-Jun Li
Scalable Acceleration for Classification-Based Derivative-Free Optimization
Tianyi Han, Jingya Li, Zhipeng Guo et al.
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
Yudong Han, Haocong Wang, Yupeng Hu et al.
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
Zhihao Hao, Bob Zhang, Haisheng Li
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
Jialuo He, Wei Chen, Xiaojin Zhang
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
Qiuyan He, Minghua Deng
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Wanggui He, Siming Fu, Mushui Liu et al.
CAMH: Advancing Model Hijacking Attack in Machine Learning
Xing He, Jiahao Chen, Yuwen Pu et al.
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Zhouyu He, Peng Qiao, Rongchun Li et al.
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling
Marzi Heidari, Yuhong Guo
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
KernelMatmul: Scaling Gaussian Processes to Large Time Series
Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek
Multimodal Promptable Token Merging for Diffusion Models
Cheng-Yao Hong, Tyng-Luh Liu
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
Di Hong, Yueming Wang
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou, He Zhu, Ruomei Liu et al.
Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition
Bo Hu, Kai Zhang, Yanghai Zhang et al.
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu, Lingwei Wei, Wei Zhou et al.
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing
Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan et al.
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
Shizhe Hu, Binyan Tian, Weibo Liu et al.
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift
Xiaoyu Hu, Zhenhua Lin
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
Yifan Hu, Peiyuan Liu, Peng Zhu et al.
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration
Yang Hua, Tianyang Xu, Xiaoning Song et al.
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
Baichuan Huang, Amir Aminifar
Multi-view Evidential Learning-based Medical Image Segmentation
Chao Huang, Yushu Shi, Waikeung Wong et al.
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
Chengxiang Huang, Bingyan Liu