Paper List

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Summary of Large Language Models Meet Graph Neural Networks: a Perspective Of Graph Mining, by Yuxin You et al.
Summary of Towards Better Spherical Sliced-wasserstein Distance Learning with Data-adaptive Discriminative Projection Direction, by Hongliang Zhang et al.
Summary of Multi-view Fake News Detection Model Based on Dynamic Hypergraph, by Rongping Ye et al.
Summary of Cgcod: Class-guided Camouflaged Object Detection, by Chenxi Zhang et al.
Summary of Evaluating Deep Learning Models For Fault Diagnosis Of a Rotating Machinery with Epistemic and Aleatoric Uncertainty, by Reza Jalayer et al.
Summary of Mtcae-dfer: Multi-task Cascaded Autoencoder For Dynamic Facial Expression Recognition, by Peihao Xiang et al.
Summary of Hand: Hierarchical Attention Network For Multi-scale Handwritten Document Recognition and Layout Analysis, by Mohammed Hamdan et al.
Summary of Mitree: Multi-input Transformer Ecoregion Encoder For Species Distribution Modelling, by Theresa Chen and Yao-yi Chiang
Summary of Neural Networks Perform Sufficient Dimension Reduction, by Shuntuo Xu et al.
Summary of Mgan-crcm: a Novel Multiple Generative Adversarial Network and Coarse-refinement Based Cognizant Method For Image Inpainting, by Nafiz Al Asad et al.
Summary of Revealing the Self: Brainwave-based Human Trait Identification, by Md Mirajul Islam et al.
Summary of Spectralkd: a Unified Framework For Interpreting and Distilling Vision Transformers Via Spectral Analysis, by Huiyuan Tian et al.
Summary of Ffcg: Effective and Fast Family Column Generation For Solving Large-scale Linear Program, by Yi-xiang Hu et al.
Summary of Dapointr: Domain Adaptive Point Transformer For Point Cloud Completion, by Yinghui Li et al.
Summary of Learning Monocular Depth From Events Via Egomotion Compensation, by Haitao Meng et al.
Summary of Effective and Secure Federated Online Learning to Rank, by Shuyi Wang
Summary of Improving Generative Pre-training: An In-depth Study Of Masked Image Modeling and Denoising Models, by Hyesong Choi et al.
Summary of Assessing Pre-trained Models For Transfer Learning Through Distribution Of Spectral Components, by Tengxue Zhang et al.
Summary of Mopd: Mixture-of-prompts Distillation For Vision-language Models, by Yang Chen et al.
Summary of Why Train Everything? Tint a Single Layer For Multi-task Model Merging, by Aecheon Jung et al.
Summary of Ergnn: Spectral Graph Neural Network with Explicitly-optimized Rational Graph Filters, by Guoming Li et al.
Summary of Graph Mixture Of Experts and Memory-augmented Routers For Multivariate Time Series Anomaly Detection, by Xiaoyu Huang et al.
Summary of Spectral Enhancement and Pseudo-anchor Guidance For Infrared-visible Person Re-identification, by Yiyuan Ge et al.
Summary of Swag: Long-term Surgical Workflow Prediction with Generative-based Anticipation, by Maxence Boels et al.
Summary of Tpch: Tensor-interacted Projection and Cooperative Hashing For Multi-view Clustering, by Zhongwen Wang et al.
Summary of Optimistic Critic Reconstruction and Constrained Fine-tuning For General Offline-to-online Rl, by Qin-wen Luo et al.
Summary of Computing Approximate Graph Edit Distance Via Optimal Transport, by Qihao Cheng et al.
Summary of Few-shot Metric Domain Adaptation: Practical Learning Strategies For An Automated Plant Disease Diagnosis, by Shoma Kudo et al.
Summary of Coevo: Continual Evolution Of Symbolic Solutions Using Large Language Models, by Ping Guo et al.
Summary of Adversarial Training For Graph Neural Networks Via Graph Subspace Energy Optimization, by Ganlin Liu et al.
Summary of Fedcfa: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning, by Zhonghua Jiang et al.
Summary of Accelerating Diffusion Transformers with Dual Feature Caching, by Chang Zou et al.
Summary of Open-vocabulary Panoptic Segmentation Using Bert Pre-training Of Vision-language Multiway Transformer Model, by Yi-chia Chen et al.
Summary of An Attentive Dual-encoder Framework Leveraging Multimodal Visual and Semantic Information For Automatic Osahs Diagnosis, by Yingchen Wei et al.
Summary of Huatuogpt-o1, Towards Medical Complex Reasoning with Llms, by Junying Chen et al.
Summary of Exemplar-condensed Federated Class-incremental Learning, by Rui Sun et al.
Summary of Unic-adapter: Unified Image-instruction Adapter with Multi-modal Transformer For Image Generation, by Lunhao Duan et al.
Summary of Malware Classification Using a Hybrid Hidden Markov Model-convolutional Neural Network, by Ritik Mehta and Olha Jureckova and Mark Stamp
Summary of Constraint-adaptive Policy Switching For Offline Safe Reinforcement Learning, by Yassine Chemingui et al.
Summary of Modelgrow: Continual Text-to-video Pre-training with Model Expansion and Language Understanding Enhancement, by Zhefan Rao et al.
Summary of Bridging Interpretability and Robustness Using Lime-guided Model Refinement, by Navid Nayyem et al.
Summary of Adopting Trustworthy Ai For Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations, by Pegah Ahadian et al.
Summary of Recommending Pre-trained Models For Iot Devices, by Parth V. Patil et al.
Summary of Optimizing Large Language Models with An Enhanced Lora Fine-tuning Algorithm For Efficiency and Robustness in Nlp Tasks, by Jiacheng Hu et al.
Summary of Elucidating Flow Matching Ode Dynamics with Respect to Data Geometries, by Zhengchao Wan et al.
Summary of Predicting Time Series Of Networked Dynamical Systems Without Knowing Topology, by Yanna Ding et al.
Summary of Successes and Limitations Of Object-centric Models at Compositional Generalisation, by Milton L. Montero and Jeffrey S. Bowers and Gaurav Malhotra
Summary of Towards a Statistical Understanding Of Neural Networks: Beyond the Neural Tangent Kernel Theories, by Haobo Zhang et al.
Summary of Hierarchical Multi-graphs Learning For Robust Group Re-identification, by Ruiqi Liu et al.
Summary of Unified Local and Global Attention Interaction Modeling For Vision Transformers, by Tan Nguyen et al.
Summary of Obitonet: Multimodal High-resolution Point Cloud Reconstruction, by Apoorv Thapliyal et al.
Summary of Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-schmidt Independence Criterion, by Yuheng Yang
Summary of Thermal-mechanical Physics Informed Deep Learning For Fast Prediction Of Thermal Stress Evolution in Laser Metal Deposition, by R. Sharma and Y.b. Guo
Summary of On Improved Regret Bounds in Bayesian Optimization with Gaussian Noise, by Jingyi Wang et al.
Summary of Torque-aware Momentum, by Pranshu Malviya et al.
Summary of Ister: Inverted Seasonal-trend Decomposition Transformer For Explainable Multivariate Time Series Forecasting, by Fanpu Cao et al.
Summary of For: Finetuning For Object Level Open Vocabulary Image Retrieval, by Hila Levi et al.
Summary of Provable Uncertainty Decomposition Via Higher-order Calibration, by Gustaf Ahdritz et al.
Summary of Llm-assisted Vector Similarity Search, by Md Riyadh et al.
Summary of Dific: Your Diffusion Model Holds the Secret to Fine-grained Clustering, by Ruohong Yang et al.
Summary of Causaltad: Causal Implicit Generative Model For Debiased Online Trajectory Anomaly Detection, by Wenbin Li and Di Yao and Chang Gong and Xiaokai Chu and Quanliang Jing and Xiaolei Zhou and Yuxuan Zhang and Yunxia Fan and Jingping Bi
Summary of Context-based Semantic-aware Alignment For Semi-supervised Multi-label Learning, by Heng-bo Fan et al.
Summary of Enhancing Federated Graph Learning Via Adaptive Fusion Of Structural and Node Characteristics, by Xianjun Gao et al.
Summary of Graph Structure Learning For Spatial-temporal Imputation: Adapting to Node and Feature Scales, by Xinyu Yang et al.
Summary of Convergence Of Statistical Estimators Via Mutual Information Bounds, by El Mahdi Khribch et al.
Summary of Consistency Checks For Language Model Forecasters, by Daniel Paleka et al.
Summary of Token-budget-aware Llm Reasoning, by Tingxu Han et al.
Summary of Fedvck: Non-iid Robust and Communication-efficient Federated Learning Via Valuable Condensed Knowledge For Medical Image Analysis, by Guochen Yan et al.
Summary of Efficient Aircraft Design Optimization Using Multi-fidelity Models and Multi-fidelity Physics Informed Neural Networks, by Apurba Sarker
Summary of Exploring Embedding Priors in Prompt-tuning For Improved Interpretability and Control, by Sergey Sedov et al.
Summary of Hnci: High-dimensional Network Causal Inference, by Wenqin Du et al.
Summary of Resolution-robust 3d Mri Reconstruction with 2d Diffusion Priors: Diverse-resolution Training Outperforms Interpolation, by Anselm Krainovic et al.
Summary of Structure Learning in Gaussian Graphical Models From Glauber Dynamics, by Vignesh Tirukkonda et al.
Summary of Next Token Prediction Towards Multimodal Intelligence: a Comprehensive Survey, by Liang Chen et al.
Summary of Dynagrag | Exploring the Topology Of Information For Advancing Language Understanding and Generation in Graph Retrieval-augmented Generation, by Karishma Thakrar
Summary of 1.58-bit Flux, by Chenglin Yang et al.
Summary of Comparing Analytic and Data-driven Approaches to Parameter Identifiability: a Power Systems Case Study, by Nikolaos Evangelou et al.
Summary of Agreemate: Teaching Llms to Haggle, by Ainesh Chatterjee et al.
Summary of Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning, by Alex Beutel et al.
Summary of Stitch: Surface Reconstruction Using Implicit Neural Representations with Topology Constraints and Persistent Homology, by Anushrut Jignasu et al.
Summary of Survattack: Black-box Attack on Survival Models Through Ontology-informed Ehr Perturbation, by Mohsen Nayebi Kerdabadi et al.
Summary of Evaluating the Adversarial Robustness Of Detection Transformers, by Amirhossein Nazeri et al.
Summary of Effective and Lightweight Representation Learning For Link Sign Prediction in Signed Bipartite Graphs, by Gyeongmin Gu et al.
Summary of Exploring Graph Mamba: a Comprehensive Survey on State-space Models For Graph Learning, by Safa Ben Atitallah et al.
Summary of Handling Spatial-temporal Data Heterogeneity For Federated Continual Learning Via Tail Anchor, by Hao Yu et al.
Summary of Mitigating Label Noise Using Prompt-based Hyperbolic Meta-learning in Open-set Domain Generalization, by Kunyu Peng et al.
Summary of Point-deeponet: a Deep Operator Network Integrating Pointnet For Nonlinear Analysis Of Non-parametric 3d Geometries and Load Conditions, by Jangseop Park and Namwoo Kang
Summary of Hypergraph Attacks Via Injecting Homogeneous Nodes Into Elite Hyperedges, by Meixia He et al.
Summary of Unveiling the Threat Of Fraud Gangs to Graph Neural Networks: Multi-target Graph Injection Attacks Against Gnn-based Fraud Detectors, by Jinhyeok Choi et al.
Summary of Chai-tea: a Benchmark For Evaluating Autocompletion Of Interactions with Llm-based Chatbots, by Shani Goren et al.
Summary of Scaling Capability in Token Space: An Analysis Of Large Vision Language Model, by Tenghui Li and Guoxu Zhou and Xuyang Zhao and Qibin Zhao
Summary of A Statistical Framework For Ranking Llm-based Chatbots, by Siavash Ameli et al.
Summary of Rdpm: Solve Diffusion Probabilistic Models Via Recurrent Token Prediction, by Xiaoping Wu and Jie Hu and Xiaoming Wei
Summary of Extract Free Dense Misalignment From Clip, by Jeongyeon Nam et al.
Summary of Mixmas: a Framework For Sampling-based Mixer Architecture Search For Multimodal Fusion and Learning, by Abdelmadjid Chergui et al.
Summary of Gefl: Model-agnostic Federated Learning with Generative Models, by Honggu Kang et al.
Summary of An Overview and Discussion Of the Suitability Of Existing Speech Datasets to Train Machine Learning Models For Collective Problem Solving, by Gnaneswar Villuri et al.
Summary of An Empirical Analysis Of Federated Learning Models Subject to Label-flipping Adversarial Attack, by Kunal Bhatnagar and Sagana Chattanathan and Angela Dang and Bhargav Eranki and Ronnit Rana and Charan Sridhar and Siddharth Vedam and Angie Yao and Mark Stamp
Summary of Vortex: a Spatial Computing Framework For Optimized Drone Telemetry Extraction From First-person View Flight Data, by James E. Gallagher et al.
Summary of Subsampling, Aligning, and Averaging to Find Circular Coordinates in Recurrent Time Series, by Andrew J. Blumberg et al.