Most Cited AAAI "frame-based networks" Papers
5,317 papers found • Page 23 of 27
Conference
Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?
Shu Li, Ruimin Hu, Suhui Li et al.
Adaptive Hardness Negative Sampling for Collaborative Filtering
Riwei Lai, Rui Chen, Qilong Han et al.
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles
Chen Li, Yoshihiro Yamanishi
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
Huayu Mai, Rui Sun, Yuan Wang et al.
Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making
Zhuoyan Li, Zhuoran Lu, Ming Yin
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem
Qingyun Zhang, YuMing Du, Zhipeng Lü et al.
Data Poisoning to Fake a Nash Equilibria for Markov Games
Young Wu, Jeremy McMahan, Xiaojin Zhu et al.
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data
Na Zhao, Gim Hee Lee
Decouple Content and Motion for Conditional Image-to-Video Generation
Cuifeng Shen, Yulu Gan, Chen Chen et al.
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan, Zhen Zhao, Lei Qi et al.
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
Zhaofan Zhang, Yanan Xiao, Lu Jiang et al.
Learning Dense Correspondence for NeRF-Based Face Reenactment
Songlin Yang, Wei Wang, Yushi Lan et al.
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
Yunqian Fan, Xiuying Wei, Ruihao Gong et al.
TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection
Hao Sun, Mingyao Zhou, Wenjing Chen et al.
Efficient Target Propagation by Deriving Analytical Solution
Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato et al.
A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis
Tianshuo Peng, Zuchao Li, Ping Wang et al.
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
Rui Zhao, Liang Zhang, Biao Fu et al.
A Separation and Alignment Framework for Black-Box Domain Adaptation
Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.
Double-Bounded Optimal Transport for Advanced Clustering and Classification
Liangliang Shi, Zhaoqi Shen, Junchi Yan
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
Liu Liu, Anran Huang, Qi Wu et al.
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
Shengrui Li, Xueting Han, Jing Bai
MID-FiLD: MIDI Dataset for Fine-Level Dynamics
Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon et al.
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space
Jianxiang Zhu, Dandan Lai, Zhongcui Ma et al.
Representation Learning Based Predicate Invention on Knowledge Graphs
Man Zhu, Pengfei Huang, Lei Gu et al.
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Ye Wang, Huazheng Pan, Tao Zhang et al.
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
Shuman Zhuang, Zhihao Wu, Zhaoliang Chen et al.
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
Zhipeng Zou, Sheng Wan, Guangyu Li et al.
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
Nan An, Weian Li, Qi Qi et al.
Fair Division via the Cake-Cutting Share
Yannan Bai, Kamesh Munagala, Yiheng Shen et al.
Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
Yixuan Zhang, Boyu Li, Zenan Ling et al.
The Distortion of Public-Spirited Participatory Budgeting
Mark Bedaywi, Bailey Flanigan, Mohamad Latifian et al.
Strategic Network Creation for Enabling Greedy Routing
Julian Berger, Tobias Friedrich, Pascal Lenzner et al.
The Value of Recall in Extensive-Form Games
Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line
Umang Bhaskar, Soumyajit Pyne
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games
Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner et al.
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity
Ioannis Caragiannis, Kurt Mehlhorn, Nidhi Rathi
Mechanism Design for Connecting Regions Under Disruptions
Hau Chan, Jianan Lin, Zining Qin et al.
Online Learning of Coalition Structures by Selfish Agents
Saar Cohen, Noa Agmon
Balanced and Fair Partitioning of Friends
Argyrios Deligkas, Eduard Eiben, Stavros D. Ioannidis et al.
Verifying Proportionality in Temporal Voting
Edith Elkind, Svetlana Obraztsova, Jannik Peters et al.
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
Individually Stable Dynamics in Coalition Formation over Graphs
Angelo Fanelli, Laurent Gourvès, Ayumi Igarashi et al.
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size
Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos
Dynamic Spectral Graph Anomaly Detection
Jianbo Zheng, Chao Yang, Tairui Zhang et al.
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
Gangqiang Hu, Jianfeng Lu, Jianmin Han et al.
Metric Distortion of Line-up Elections: The Right Person for the Right Job
Christopher Jerrett, Yue Han, Elliot Anshelevich
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective
Alexander Lam, Bo Li, Ankang Sun
Sample Complexity of Linear Regression Models for Opinion Formation in Networks
Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram et al.
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
Mary Monroe, Anish Thilagar, Melody Hsu et al.
On the Power of Strategic Corpus Enrichment in Content Creation Games
Haya Nachimovsky, Moshe Tennenholtz
Constant-Factor Distortion Mechanisms for k-Committee Election
Haripriya Pulyassary, Chaitanya Swamy
Bayesian Persuasion with Externalities: Exploiting Agent Types
Jonathan Shaki, Jiarui Gan, Sarit Kraus
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
Jonathan Shaki, Yonatan Aumann, Sarit Kraus
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games
Juan Shi, Zhaoheng Cao, Jinzhuo Liu et al.
Uncommon Belief in Rationality
Qi Shi, Pavel Naumov
Achieving Balanced Representation in School Choice with Diversity Goals
Zhaohong Sun, Makoto Yokoo
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
Yusheng Zhao, Changhu Wang, Xiao Luo et al.
Computing Game Symmetries and Equilibria That Respect Them
Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld et al.
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
Bingchen Wang, Zhaoxuan Wu, Fusheng Liu et al.
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
Yixuan Even Xu, Zhe Feng, Fei Fang
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
Lulu Cao, Zexin Lin, Kay Chen Tan et al.
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
Siqian Zhao, Sherry Sahebi
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction
Jiyi Li
Human and AI Perceptual Differences in Image Classification Errors
Minghao Liu, Jiaheng Wei, Yang Liu et al.
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Shuyuan Zhao, Wei Chen, Boyan Shi et al.
Optimal and Efficient Binary Questioning for Accelerated Annotation
Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi et al.
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
A No Free Lunch Theorem for Human-AI Collaboration
Kenny Peng, Nikhil Garg, Jon Kleinberg
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning
Maochang Zhao, Jing Zhang
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.
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.
CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking
Qiuyun Zhang, Bin Guo, Lina Yao et al.
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
Gongtao Zhou, Haoran Yu
Learning to Collaborate with Unknown Agents in the Absence of Reward
Zuyuan Zhang, Hanhan Zhou, Mahdi Imani et al.
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
Yangxuan Zhou, Sha Zhao, Jiquan Wang et al.
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
Zhongjian Zhang, Mengmei Zhang, Xiao Wang et al.
Multi-fingered Hand Grasps with Visuo-Tactile Fusion via Multi-Agent Deep Reinforcement Learning
Peida Jia, Xuanheng Li, Tianqiang Zhu et al.
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
Ye Zhang, Yanqi Gao, Dongjie Wang et al.
CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems
Kerian Thuillier, Anne Siegel, Loïc Paulevé
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.
A Lightweight Sparse Interaction Network for Time Series Forecasting
Xu Zhang, Qitong Wang, Peng Wang et al.
Maximizing the Success Probability of Policy Allocations in Online Systems
Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.
Learning Not to Regret
David Sychrovský, Michal Sustr, Elnaz Davoodi et al.
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.
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
Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth
Mateus de Oliveira Oliveira
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
First-Order Automata
Luca Geatti, Alessandro Gianola, Nicola Gigante
Hybrid Reasoning About Relative Position and Orientation of Objects and Navigating Agents Using Answer Set Programming
Yusuf Izmirlioglu
A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity
Ruiqi Jin, Yongmei Liu, Liping Xiong
An Alternative Theory of Stable Revision for Nondeterministic Approximation Fixpoint Theory and the Relationships
Spencer Killen, Jia-Huai You, Jesse Heyninck
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.
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
Yu Sheng, Linjing Li, Daniel Dajun Zeng
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
Guokai Sun, Yuan Zhuang, Shuo Zhang 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.
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.
SPAC: Sparse Partitioning and Adaptive Core Tensor Pruning Model for Knowledge Graph Completion
Chuhong Yang, Bin Li, Nan Wu
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan, Sihang Zhou, Xiaoshu Chen 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.
Exponential-Family Harmoniums with Neural Sufficient Statistics
Azwar Abdulsalam, Joseph G. Makin
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
Antonios Alexos, Ian Domingo, Pierre Baldi
DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding
Xiaoxuan Yu, Hao Wang, Weiming Li et al.
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
Yunwei Bai, Ying Kiat Tan, Shiming Chen 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.
Trigger3:Refining Query Correction via Adaptive Model Selector
Kepu Zhang, Zhongxiang Sun, Xiao Zhang et al.
Teaching Models to Improve on Tape
Liat Bezalel, Eyal Orgad, Amir Globerson
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.
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
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
Jinyu Zhang, Zhongying Zhao, Chao Li et al.
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
Jiaqiang Zhang, Songcan Chen
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
Boyu Chen, Peike Li, Yao Yao et al.
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen, Denis Krompaß, Jindong Gu et al.
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
Hao Zhang, Wei Chen, Xingyu Zhao et al.
Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities
Junchi Chen, Richong Zhang, Junfan Chen
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen, Shuhong Xiao, Shixian Ding et al.
Robust Logit Adjustment for Learning with Long-Tailed Noisy Data
MingCai Chen, Yuntao Du, Wenyu Jiang et al.
Learnware Specification via Label-Aware Neural Embedding
Wei Chen, Jun-Xiang Mao, Min-Ling Zhang
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
Xiaobing Chen, Xiangwei Zhou, Songyang Zhang et al.
Learning Small Decision Trees for Data of Low Rank-Width
Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.
Attack-inspired Calibration Loss for Calibrating Crack Recognition
Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang et al.
Community-Aware Variational Autoencoder for Continuous Dynamic Networks
Junwei Cheng, Chaobo He, Pengxing Feng et al.
WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization
Minjie Cheng, Dixin Luo, Hongteng Xu
Language-Guided Transformer for Federated Multi-Label Classification
I-Jieh Liu, Ci-Siang Lin, Fu-En Yang et al.
Core Knowledge Learning Framework for Graph
Bowen Zhang, Zhichao Huang, Guangning Xu et al.
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.
Neural Variable-Order Fractional Differential Equation Networks
Wenjun Cui, Qiyu Kang, Xuhao Li et al.
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.
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
Yanwei Yue, Guibin Zhang, Haoran Yang et al.
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
Jingda Deng, Jianyong Sun, Qingfu Zhang et al.
CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems
Weiqi Yue, Yuyu Yin, Xin 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.
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu et al.
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games
Shaokang Dong, Chao Li, Shangdong Yang et al.
On the Hardness of Training Deep Neural Networks Discretely
Ilan Doron-Arad
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
Liang Du, Henghui Jiang, Xiaodong Li et al.
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
Jianxiang Yu, Yuxiang Ren, Chenghua Gong et al.
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.
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
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
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.
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
Jianwei Fei, Yunshu Dai, Zhihua Xia et al.
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control
Aosong Feng, Weikang Qiu, Jinbin Bai et al.
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
Jun Feng, Yuzhe Lai, Hong Sun 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.
DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
Xuening Feng, Zhaohui Jiang, Timo Kaufmann 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.
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Yuyang Ye, Zhi Zheng, Yishan Shen et al.
HYGENE: A Diffusion-Based Hypergraph Generation Method
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner et al.
Accurate Estimation of Feature Importance Faithfulness for Tree Models
Mateusz Gajewski, Adam Karczmarz, Mateusz Rapicki et al.
QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception
Fei Gao, Ying Zhou, Ziyun Li et al.
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Resolution
Yexing Song, Meilin Wang, Zhijing Yang 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.
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar, Lie Lu
Submodel Enumeration for CTL Is Hard
Nicolas Fröhlich, Arne Meier
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
Wenwen Gong, Yangliao Geng, Dan Zhang et al.
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
Xueping Gong, Jiheng Zhang
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.