Paper List

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Summary of Learning Sparse High-dimensional Matrix-valued Graphical Models From Dependent Data, by Jitendra K Tugnait
Summary of The Shape Of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset, by Claudio Bellei et al.
Summary of Source-free Domain Adaptation Of Weakly-supervised Object Localization Models For Histology, by Alexis Guichemerre et al.
Summary of Q-groundcam: Quantifying Grounding in Vision Language Models Via Gradcam, by Navid Rajabi et al.
Summary of Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning, by Annie Hu et al.
Summary of Fale: Fairness-aware Ale Plots For Auditing Bias in Subgroups, by Giorgos Giannopoulos et al.
Summary of Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots, by Xi Xin et al.
Summary of Convergence Properties Of Score-based Models For Linear Inverse Problems Using Graduated Optimisation, by Pascal Fernsel et al.
Summary of Real Time Multi Organ Classification on Computed Tomography Images, by Halid Ziya Yerebakan et al.
Summary of Mapping the Potential Of Explainable Ai For Fairness Along the Ai Lifecycle, by Luca Deck et al.
Summary of Cvtn: Cross Variable and Temporal Integration For Time Series Forecasting, by Han Zhou et al.
Summary of Transitive Vision-language Prompt Learning For Domain Generalization, by Liyuan Wang et al.
Summary of Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks, by Fanghui Liu et al.
Summary of A Universal Metric Of Dataset Similarity For Cross-silo Federated Learning, by Ahmed Elhussein and Gamze Gursoy
Summary of Optimal Time Sampling in Physics-informed Neural Networks, by Gabriel Turinici
Summary of A Partial Replication Of Maskformer in Tensorflow on Tpus For the Tensorflow Model Garden, by Vishal Purohit et al.
Summary of Benchmarking Benchmark Leakage in Large Language Models, by Ruijie Xu et al.
Summary of Harmonic Machine Learning Models Are Robust, by Nicholas S. Kersting et al.
Summary of Federa:efficient Fine-tuning Of Language Models in Federated Learning Leveraging Weight Decomposition, by Yuxuan Yan et al.
Summary of Learning Mixtures Of Gaussians Using Diffusion Models, by Khashayar Gatmiry et al.
Summary of A Survey on Diffusion Models For Time Series and Spatio-temporal Data, by Yiyuan Yang et al.
Summary of Ipixmatch: Boost Semi-supervised Semantic Segmentation with Inter-pixel Relation, by Kebin Wu et al.
Summary of Overcoming Knowledge Barriers: Online Imitation Learning From Observation with Pretrained World Models, by Xingyuan Zhang et al.
Summary of Sample-efficient Robust Multi-agent Reinforcement Learning in the Face Of Environmental Uncertainty, by Laixi Shi et al.
Summary of Reduced-rank Multi-objective Policy Learning and Optimization, by Ezinne Nwankwo et al.
Summary of Multisensor Data Fusion For Automatized Insect Monitoring (kinsecta), by Martin Tschaikner and Danja Brandt et al.
Summary of Capabilities Of Gemini Models in Medicine, by Khaled Saab et al.
Summary of U-nets As Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models, by Song Mei
Summary of On the Impact Of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks, by Usevalad Milasheuski et al.
Summary of Enabling Efficient and Flexible Interpretability Of Data-driven Anomaly Detection in Industrial Processes with Acme-ad, by Valentina Zaccaria et al.
Summary of Bridging Data Barriers Among Participants: Assessing the Potential Of Geoenergy Through Federated Learning, by Weike Peng et al.
Summary of Generation Of Uncorrelated Residual Variables For Chemical Process Fault Diagnosis Via Transfer Learning-based Input-output Decoupled Network, by Zhuofu Pan et al.
Summary of Solving Partial Differential Equations with Equivariant Extreme Learning Machines, by Hans Harder et al.
Summary of Time Series Data Augmentation As An Imbalanced Learning Problem, by Vitor Cerqueira et al.
Summary of Milebench: Benchmarking Mllms in Long Context, by Dingjie Song et al.
Summary of Symmetry Group Based Domain Decomposition to Enhance Physics-informed Neural Networks For Solving Partial Differential Equations, by Ye Liu and Jie-ying Li and Li-sheng Zhang and Lei-lei Guo and Zhi-yong Zhang
Summary of Time Machine Gpt, by Felix Drinkall et al.
Summary of Incidentresponsegpt: Generating Traffic Incident Response Plans with Generative Artificial Intelligence, by Artur Grigorev et al.
Summary of Evaluating the Effectiveness Of Predicting Covariates in Lstm Networks For Time Series Forecasting, by Gareth Davies
Summary of Learning Governing Equations Of Unobserved States in Dynamical Systems, by Gevik Grigorian et al.
Summary of Predicting Safety Misbehaviours in Autonomous Driving Systems Using Uncertainty Quantification, by Ruben Grewal et al.
Summary of Do Vision & Language Decoders Use Images and Text Equally? How Self-consistent Are Their Explanations?, by Letitia Parcalabescu and Anette Frank
Summary of Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case, by Jorn-jan Van De Beld et al.
Summary of Terrain Characterisation For Online Adaptability Of Automated Sonar Processing: Lessons Learnt From Operationally Applying Atr to Sidescan Sonar in Mcm Applications, by Thomas Guerneve et al.
Summary of Exploring the Robustness Of In-context Learning with Noisy Labels, by Chen Cheng et al.
Summary of 4dbinfer: a 4d Benchmarking Toolbox For Graph-centric Predictive Modeling on Relational Dbs, by Minjie Wang et al.
Summary of A Survey Of Dynamic Graph Neural Networks, by Yanping Zheng et al.
Summary of L3cube-mahanews: News-based Short Text and Long Document Classification Datasets in Marathi, by Saloni Mittal et al.
Summary of A Note on Asynchronous Challenges: Unveiling Formulaic Bias and Data Loss in the Hayashi-yoshida Estimator, by Evangelos Georgiadis
Summary of Textgram: Towards a Better Domain-adaptive Pretraining, by Sharayu Hiwarkhedkar et al.
Summary of Soul: Unlocking the Power Of Second-order Optimization For Llm Unlearning, by Jinghan Jia et al.
Summary of Legent: Open Platform For Embodied Agents, by Zhili Cheng et al.
Summary of Adafsnet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration, by Haoxiao Wang et al.
Summary of Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment, by Tengjun Huang
Summary of Parameter-efficient Tuning Large Language Models For Graph Representation Learning, by Qi Zhu et al.
Summary of Joint Energy and Latency Optimization in Federated Learning Over Cell-free Massive Mimo Networks, by Afsaneh Mahmoudi et al.
Summary of Kernel Corrector Lstm, by Rodrigo Tuna et al.
Summary of Using Deep Q-learning to Dynamically Toggle Between Push/pull Actions in Computational Trust Mechanisms, by Zoi Lygizou and Dimitris Kalles
Summary of Towards Incremental Learning in Large Language Models: a Critical Review, by Mladjan Jovanovic and Peter Voss
Summary of Diresa, a Distance-preserving Nonlinear Dimension Reduction Technique Based on Regularized Autoencoders, by Geert De Paepe et al.
Summary of Safe-rl: Saliency-aware Counterfactual Explainer For Deep Reinforcement Learning Policies, by Amir Samadi et al.
Summary of Position: Do Not Explain Vision Models Without Context, by Paulina Tomaszewska et al.
Summary of Llm-sr: Scientific Equation Discovery Via Programming with Large Language Models, by Parshin Shojaee et al.
Summary of Learning a Sparse Neural Network Using Iht, by Saeed Damadi et al.
Summary of Cbmap: Clustering-based Manifold Approximation and Projection For Dimensionality Reduction, by Berat Dogan
Summary of Deep Representation Learning For Forecasting Recursive and Multi-relational Events in Temporal Networks, by Tony Gracious et al.
Summary of Bounding the Expected Robustness Of Graph Neural Networks Subject to Node Feature Attacks, by Yassine Abbahaddou et al.
Summary of Cauchy-schwarz Divergence Information Bottleneck For Regression, by Shujian Yu et al.
Summary of Usefulness Of Emotional Prosody in Neural Machine Translation, by Charles Brazier and Jean-luc Rouas
Summary of Automating Customer Needs Analysis: a Comparative Study Of Large Language Models in the Travel Industry, by Simone Barandoni et al.
Summary of Tabvfl: Improving Latent Representation in Vertical Federated Learning, by Mohamed Rashad et al.
Summary of Optimal Initialization Of Batch Bayesian Optimization, by Jiuge Ren and David Sweet
Summary of Medifact at Mediqa-corr 2024: Why Ai Needs a Human Touch, by Nadia Saeed
Summary of Implicit Generative Prior For Bayesian Neural Networks, by Yijia Liu et al.
Summary of Utilizing Large Language Models For Information Extraction From Real Estate Transactions, by Yu Zhao et al.
Summary of Machine Learning Techniques For Data Reduction Of Cfd Applications, by Jaemoon Lee et al.
Summary of Prompt Customization For Continual Learning, by Yong Dai and Xiaopeng Hong and Yabin Wang and Zhiheng Ma and Dongmei Jiang and Yaowei Wang
Summary of Can Perplexity Predict Fine-tuning Performance? An Investigation Of Tokenization Effects on Sequential Language Models For Nepali, by Nishant Luitel et al.
Summary of Advancing Supervised Learning with the Wave Loss Function: a Robust and Smooth Approach, by Mushir Akhtar et al.
Summary of Learning Fairer Representations with Fairvic, by Charmaine Barker et al.
Summary of Evaluating Rocket and Catch22 Features For Calf Behaviour Classification From Accelerometer Data Using Machine Learning Models, by Oshana Dissanayake et al.
Summary of Generative Ai For Visualization: State Of the Art and Future Directions, by Yilin Ye et al.
Summary of Imex-reg: Implicit-explicit Regularization in the Function Space For Continual Learning, by Prashant Bhat et al.
Summary of Naive Bayes Classifiers and One-hot Encoding Of Categorical Variables, by Christopher K. I. Williams
Summary of On the Rashomon Ratio Of Infinite Hypothesis Sets, by Evzenie Coupkova et al.
Summary of Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization, by Dang Nguyen et al.
Summary of Implementation Of Big Ai Models For Wireless Networks with Collaborative Edge Computing, by Liekang Zeng et al.
Summary of Bilo: Bilevel Local Operator Learning For Pde Inverse Problems, by Ray Zirui Zhang et al.
Summary of Personalized Federated Learning Via Sequential Layer Expansion in Representation Learning, by Jaewon Jang and Bonjun Choi
Summary of Compressing Latent Space Via Least Volume, by Qiuyi Chen and Mark Fuge
Summary of Dynamical Mode Recognition Of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches, By Weiming Xu et al.
Summary of From Optimization to Generalization: Fair Federated Learning Against Quality Shift Via Inter-client Sharpness Matching, by Nannan Wu et al.
Summary of Dynamic Against Dynamic: An Open-set Self-learning Framework, by Haifeng Yang et al.
Summary of Pfedafm: Adaptive Feature Mixture For Batch-level Personalization in Heterogeneous Federated Learning, by Liping Yi et al.
Summary of Uncertainty Quantification For Iterative Algorithms in Linear Models with Application to Early Stopping, by Pierre C. Bellec and Kai Tan
Summary of Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion, by Yuntao Shou et al.
Summary of Noisy Node Classification by Bi-level Optimization Based Multi-teacher Distillation, By Yujing Liu et al.
Summary of Feature Graphs For Interpretable Unsupervised Tree Ensembles: Centrality, Interaction, and Application in Disease Subtyping, by Christel Sirocchi et al.
Summary of Serpent-vlm : Self-refining Radiology Report Generation Using Vision Language Models, by Manav Nitin Kapadnis et al.
Summary of Reliable Student: Addressing Noise in Semi-supervised 3d Object Detection, by Farzad Nozarian et al.