Paper List

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Summary of Hybrid Transformer and Spatial-temporal Self-supervised Learning For Long-term Traffic Prediction, by Wang Zhu et al.
Summary of Supervised Contrastive Learning Based Dual-mixer Model For Remaining Useful Life Prediction, by En Fu et al.
Summary of Instructir: High-quality Image Restoration Following Human Instructions, by Marcos V. Conde et al.
Summary of Flexible Parallel Neural Network Architecture Model For Early Prediction Of Lithium Battery Life, by Lidang Jiang et al.
Summary of Booleanoct: Optimal Classification Trees Based on Multivariate Boolean Rules, by Jiancheng Tu et al.
Summary of Constrained Bi-level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm, by Wei Yao et al.
Summary of X-peft: Extremely Parameter-efficient Fine-tuning For Extreme Multi-profile Scenarios, by Namju Kwak and Taesup Kim
Summary of A Survey on Structure-preserving Graph Transformers, by Van Thuy Hoang and O-joun Lee
Summary of Contributing Dimension Structure Of Deep Feature For Coreset Selection, by Zhijing Wan et al.
Summary of Vocabulary-defined Semantics: Latent Space Clustering For Improving In-context Learning, by Jian Gu et al.
Summary of Geospatial Disparities: a Case Study on Real Estate Prices in Paris, by Agathe Fernandes Machado et al.
Summary of Player Pressure Map — a Novel Representation Of Pressure in Soccer For Evaluating Player Performance in Different Game Contexts, by Chaoyi Gu et al.
Summary of Effective Communication with Dynamic Feature Compression, by Pietro Talli et al.
Summary of Mosquiot: a System Based on Iot and Machine Learning For the Monitoring Of Aedes Aegypti (diptera: Culicidae), by Javier Aira et al.
Summary of Employing Iterative Feature Selection in Fuzzy Rule-based Binary Classification, by Haoning Li et al.
Summary of Maple: Micro Analysis Of Pairwise Language Evolution For Few-shot Claim Verification, by Xia Zeng et al.
Summary of Dual Feature-based and Example-based Explanation Methods, by Andrei V. Konstantinov et al.
Summary of Enhancing Molecular Property Prediction with Auxiliary Learning and Task-specific Adaptation, by Vishal Dey and Xia Ning
Summary of Defining and Extracting Generalizable Interaction Primitives From Dnns, by Lu Chen et al.
Summary of Picl: Physics Informed Contrastive Learning For Partial Differential Equations, by Cooper Lorsung and Amir Barati Farimani
Summary of Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in Rlhf, by Banghua Zhu et al.
Summary of Tqcompressor: Improving Tensor Decomposition Methods in Neural Networks Via Permutations, by V. Abronin et al.
Summary of Bayesian Optimization As a Flexible and Efficient Design Framework For Sustainable Process Systems, by Joel A. Paulson and Calvin Tsay
Summary of Lil’hdoc: An Algorithm For Good Arm Identification Under Small Threshold Gap, by Tzu-hsien Tsai et al.
Summary of Sliced Wasserstein with Random-path Projecting Directions, by Khai Nguyen and Shujian Zhang and Tam Le and Nhat Ho
Summary of Enhancing Topological Dependencies in Spatio-temporal Graphs with Cycle Message Passing Blocks, by Minho Lee et al.
Summary of Toward the Identifiability Of Comparative Deep Generative Models, by Romain Lopez et al.
Summary of Blockchain-enabled Trustworthy Federated Unlearning, by Yijing Lin et al.
Summary of Mlem: Generative and Contrastive Learning As Distinct Modalities For Event Sequences, by Viktor Moskvoretskii et al.
Summary of Advnf: Reducing Mode Collapse in Conditional Normalising Flows Using Adversarial Learning, by Vikas Kanaujia and Mathias S. Scheurer and Vipul Arora
Summary of Tfdmnet: a Novel Network Structure Combines the Time Domain and Frequency Domain Features, by Hengyue Pan et al.
Summary of A Class-aware Optimal Transport Approach with Higher-order Moment Matching For Unsupervised Domain Adaptation, by Tuan Nguyen et al.
Summary of Scalable Federated Unlearning Via Isolated and Coded Sharding, by Yijing Lin et al.
Summary of Spatio-temporal Attention Graph Neural Network For Remaining Useful Life Prediction, by Zhixin Huang and Yujiang He and Bernhard Sick
Summary of Sample Weight Estimation Using Meta-updates For Online Continual Learning, by Hamed Hemati et al.
Summary of Routers in Vision Mixture Of Experts: An Empirical Study, by Tianlin Liu et al.
Summary of Gps: Graph Contrastive Learning Via Multi-scale Augmented Views From Adversarial Pooling, by Wei Ju et al.
Summary of Probabilistic Abduction For Visual Abstract Reasoning Via Learning Rules in Vector-symbolic Architectures, by Michael Hersche et al.
Summary of Deep Embedding Clustering Driven by Sample Stability, By Zhanwen Cheng et al.
Summary of Simple Policy Optimization, by Zhengpeng Xie et al.
Summary of Fairness in Algorithmic Recourse Through the Lens Of Substantive Equality Of Opportunity, by Andrew Bell et al.
Summary of Federated Unsupervised Random Forest For Privacy-preserving Patient Stratification, by Bastian Pfeifer et al.
Summary of Multilingual Text-to-image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You, by Felix Friedrich et al.
Summary of One For All: a Novel Dual-space Co-training Baseline For Large-scale Multi-view Clustering, by Zisen Kong et al.
Summary of Contrastive Learning and Mixture Of Experts Enables Precise Vector Embeddings, by Logan Hallee et al.
Summary of A Study Of Acquisition Functions For Medical Imaging Deep Active Learning, by Bonaventure F. P. Dossou
Summary of An Objective Comparison Of Methods For Augmented Reality in Laparoscopic Liver Resection by Preoperative-to-intraoperative Image Fusion, By Sharib Ali et al.
Summary of Segmentanytree: a Sensor and Platform Agnostic Deep Learning Model For Tree Segmentation Using Laser Scanning Data, by Maciej Wielgosz et al.
Summary of Bayesian Nonparametrics Meets Data-driven Distributionally Robust Optimization, by Nicola Bariletto et al.
Summary of Evaluation Of K-means Time Series Clustering Based on Z-normalization and Np-free, by Ming-chang Lee et al.
Summary of Real-time Object Detection and Robotic Manipulation For Agriculture Using a Yolo-based Learning Approach, by Hongyu Zhao et al.
Summary of Fine-tuned Large Language Models For Symptom Recognition From Spanish Clinical Text, by Mai A. Shaaban et al.
Summary of Statistical Significance Of Feature Importance Rankings, by Jeremy Goldwasser and Giles Hooker
Summary of On the Statistical Properties Of Generative Adversarial Models For Low Intrinsic Data Dimension, by Saptarshi Chakraborty and Peter L. Bartlett
Summary of Ontomedrec: Logically-pretrained Model-agnostic Ontology Encoders For Medication Recommendation, by Weicong Tan et al.
Summary of Meta-learning For Neural Network-based Temporal Point Processes, by Yoshiaki Takimoto et al.
Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
Summary of Transparency Attacks: How Imperceptible Image Layers Can Fool Ai Perception, by Forrest Mckee et al.
Summary of The Indoor-training Effect: Unexpected Gains From Distribution Shifts in the Transition Function, by Serena Bono et al.
Summary of Importance-aware Adaptive Dataset Distillation, by Guang Li et al.
Summary of Stochastic Amortization: a Unified Approach to Accelerate Feature and Data Attribution, by Ian Covert et al.
Summary of A Deep Q-network Based on Radial Basis Functions For Multi-echelon Inventory Management, by Liqiang Cheng et al.
Summary of Probabilistic Guarantees Of Stochastic Recursive Gradient in Non-convex Finite Sum Problems, by Yanjie Zhong et al.
Summary of Baichuan2-sum: Instruction Finetune Baichuan2-7b Model For Dialogue Summarization, by Jianfei Xiao et al.
Summary of Data-driven Estimation Of the False Positive Rate Of the Bayes Binary Classifier Via Soft Labels, by Minoh Jeong et al.
Summary of Differentially Private Bayesian Tests, by Abhisek Chakraborty et al.
Summary of An Information-theoretic Analysis Of In-context Learning, by Hong Jun Jeon et al.
Summary of Anomaly Detection Of Particle Orbit in Accelerator Using Lstm Deep Learning Technology, by Zhiyuan Chen et al.
Summary of Oracle-efficient Hybrid Online Learning with Unknown Distribution, by Changlong Wu et al.
Summary of Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform, by Ramy Harik et al.
Summary of On the Robustness Of Cross-concentrated Sampling For Matrix Completion, by Hanqin Cai and Longxiu Huang and Chandra Kundu and Bowen Su
Summary of Intriguing Equivalence Structures Of the Embedding Space Of Vision Transformers, by Shaeke Salman and Md Montasir Bin Shams and Xiuwen Liu
Summary of Brepgen: a B-rep Generative Diffusion Model with Structured Latent Geometry, by Xiang Xu et al.
Summary of Dgnn: Decoupled Graph Neural Networks with Structural Consistency Between Attribute and Graph Embedding Representations, by Jinlu Wang et al.
Summary of Hyperedge Interaction-aware Hypergraph Neural Network, by Rongping Ye et al.
Summary of Improving Expressive Power Of Spectral Graph Neural Networks with Eigenvalue Correction, by Kangkang Lu et al.
Summary of Neural Network-based Score Estimation in Diffusion Models: Optimization and Generalization, by Yinbin Han et al.
Summary of Gt-pca: Effective and Interpretable Dimensionality Reduction with General Transform-invariant Principal Component Analysis, by Florian Heinrichs
Summary of Prevalidated Ridge Regression Is a Highly-efficient Drop-in Replacement For Logistic Regression For High-dimensional Data, by Angus Dempster et al.
Summary of Yoda: Teacher-student Progressive Learning For Language Models, by Jianqiao Lu et al.
Summary of Mitigating the Impact Of Noisy Edges on Graph-based Algorithms Via Adversarial Robustness Evaluation, by Yongyu Wang et al.
Summary of Diffusion-based Graph Generative Methods, by Hongyang Chen et al.
Summary of Evaluating Echo State Network For Parkinson’s Disease Prediction Using Voice Features, by Seyedeh Zahra Seyedi Hosseininian et al.
Summary of Towards Stable Preferences For Stakeholder-aligned Machine Learning, by Haleema Sheraz et al.
Summary of Simfair: Physics-guided Fairness-aware Learning with Simulation Models, by Zhihao Wang et al.
Summary of Finite-time Analysis Of On-policy Heterogeneous Federated Reinforcement Learning, by Chenyu Zhang et al.
Summary of Benchmarking with Mimic-iv, An Irregular, Spare Clinical Time Series Dataset, by Hung Bui et al.
Summary of Adaptive Block Sparse Regularization Under Arbitrary Linear Transform, by Takanobu Furuhashi et al.
Summary of Skipvit: Speeding Up Vision Transformers with a Token-level Skip Connection, by Foozhan Ataiefard et al.
Summary of Shortcuts Everywhere and Nowhere: Exploring Multi-trigger Backdoor Attacks, by Yige Li et al.
Summary of Supplygraph: a Benchmark Dataset For Supply Chain Planning Using Graph Neural Networks, by Azmine Toushik Wasi and Md Shafikul Islam and Adipto Raihan Akib
Summary of Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation, by Yi Yan et al.
Summary of Optimal Sparse Survival Trees, by Rui Zhang et al.
Summary of Validation Of Artificial Neural Networks to Model the Acoustic Behaviour Of Induction Motors, by F.j. Jimenez-romero et al.
Summary of Fault Diagnosis on Induction Motor Using Machine Learning and Signal Processing, by Muhammad Samiullah et al.
Summary of Deep Learning with Information Fusion and Model Interpretation For Health Monitoring Of Fetus Based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data, by Zenghui Lin et al.
Summary of A Survey on Data Augmentation in Large Model Era, by Yue Zhou et al.
Summary of Towards Causal Classification: a Comprehensive Study on Graph Neural Networks, by Simi Job et al.
Summary of Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing, by Lokesh Nagalapatti et al.
Summary of New Foggy Object Detecting Model, by Rahul Banavathu et al.