Paper List

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Summary of Can Active Label Correction Improve Llm-based Modular Ai Systems?, by Karan Taneja and Ashok Goel
Summary of Standardizing Your Training Process For Human Activity Recognition Models: a Comprehensive Review in the Tunable Factors, by Yiran Huang et al.
Summary of Correlated Quantization For Faster Nonconvex Distributed Optimization, by Andrei Panferov et al.
Summary of Inconsistency-based Data-centric Active Open-set Annotation, by Ruiyu Mao et al.
Summary of Rethinking Test-time Likelihood: the Likelihood Path Principle and Its Application to Ood Detection, by Sicong Huang et al.
Summary of Closed-form Interpretation Of Neural Network Classifiers with Symbolic Gradients, by Sebastian Johann Wetzel
Summary of Dualdynamics: Synergizing Implicit and Explicit Methods For Robust Irregular Time Series Analysis, by Yongkyung Oh et al.
Summary of Structure-preserving Physics-informed Neural Networks with Energy or Lyapunov Structure, by Haoyu Chu et al.
Summary of Adafed: Fair Federated Learning Via Adaptive Common Descent Direction, by Shayan Mohajer Hamidi et al.
Summary of Himtm: Hierarchical Multi-scale Masked Time Series Modeling with Self-distillation For Long-term Forecasting, by Shubao Zhao et al.
Summary of Temporal Analysis Of World Disaster Risk:a Machine Learning Approach to Cluster Dynamics, by Christian Mulomba Mukendi et al.
Summary of An Information Theoretic Approach to Interaction-grounded Learning, by Xiaoyan Hu et al.
Summary of Creinns: Credal-set Interval Neural Networks For Uncertainty Estimation in Classification Tasks, by Kaizheng Wang et al.
Summary of Miss: Multiclass Interpretable Scoring Systems, by Michal K. Grzeszczyk et al.
Summary of Any-way Meta Learning, by Junhoo Lee et al.
Summary of Content-aware Depth-adaptive Image Restoration, by Tom Richard Vargis et al.
Summary of Hierarchical Classification Of Transversal Skills in Job Ads Based on Sentence Embeddings, by Florin Leon et al.
Summary of Efficient Fine-tuning with Domain Adaptation For Privacy-preserving Vision Transformer, by Teru Nagamori et al.
Summary of Machine Learning to Promote Translational Research: Predicting Patent and Clinical Trial Inclusion in Dementia Research, by Matilda Beinat et al.
Summary of Experiment Planning with Function Approximation, by Aldo Pacchiano et al.
Summary of Invariant Causal Prediction with Local Models, by Alexander Mey et al.
Summary of Taming “data-hungry” Reinforcement Learning? Stability in Continuous State-action Spaces, by Yaqi Duan et al.
Summary of Do Vision and Language Encoders Represent the World Similarly?, by Mayug Maniparambil et al.
Summary of A Novel Framework For Generalization Of Deep Hidden Physics Models, by Vijay Kag et al.
Summary of Advancing Ante-hoc Explainable Models Through Generative Adversarial Networks, by Tanmay Garg et al.
Summary of Transfer-learning-based Autotuning Using Gaussian Copula, by Thomas Randall (1) et al.
Summary of Rosa: Accurate Parameter-efficient Fine-tuning Via Robust Adaptation, by Mahdi Nikdan et al.
Summary of Mixture Of Multilayer Stochastic Block Models For Multiview Clustering, by Kylliann De Santiago et al.
Summary of Ai-based Mapping Of the Conservation Status Of Orchid Assemblages at Global Scale, by Joaquim Estopinan et al.
Summary of Masked Autoencoder For Graph Clustering Without Pre-defined Cluster Number K, by Yuanchi Ma et al.
Summary of Logformer: a Pre-train and Tuning Pipeline For Log Anomaly Detection, by Hongcheng Guo et al.
Summary of Convolutional Neural Network Ensemble Learning For Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment, by Chollette C. Olisah et al.
Summary of Identifying Best Practice Melting Patterns in Induction Furnaces: a Data-driven Approach Using Time Series Kmeans Clustering and Multi-criteria Decision Making, by Daniel Anthony Howard et al.
Summary of How Predictable Is Language Model Benchmark Performance?, by David Owen
Summary of Gnnshap: Scalable and Accurate Gnn Explanation Using Shapley Values, by Selahattin Akkas and Ariful Azad
Summary of T-prime: Transformer-based Protocol Identification For Machine-learning at the Edge, by Mauro Belgiovine et al.
Summary of On the Correctness Of the Generalized Isotonic Recursive Partitioning Algorithm, by Joong-ho Won and Jihan Jung
Summary of Transportation Marketplace Rate Forecast Using Signature Transform, by Haotian Gu et al.
Summary of A Good Score Does Not Lead to a Good Generative Model, by Sixu Li et al.
Summary of User Embedding Model For Personalized Language Prompting, by Sumanth Doddapaneni et al.
Summary of Knowledge-aware Graph Transformer For Pedestrian Trajectory Prediction, by Yu Liu et al.
Summary of Feature Network Methods in Machine Learning and Applications, by Xinying Mu et al.
Summary of Relaxed Contrastive Learning For Federated Learning, by Seonguk Seo et al.
Summary of A Change Point Detection Integrated Remaining Useful Life Estimation Model Under Variable Operating Conditions, by Anushiya Arunan et al.
Summary of Sok: Systematization and Benchmarking Of Deepfake Detectors in a Unified Framework, by Binh M. Le et al.
Summary of Air Quality Forecasting Using Machine Learning: a Global Perspective with Relevance to Low-resource Settings, by Mulomba Mukendi Christian et al.
Summary of Towards Explainable Artificial Intelligence (xai): a Data Mining Perspective, by Haoyi Xiong and Xuhong Li and Xiaofei Zhang and Jiamin Chen and Xinhao Sun and Yuchen Li and Zeyi Sun and Mengnan Du
Summary of Machine Unlearning Through Fine-grained Model Parameters Perturbation, by Zhiwei Zuo et al.
Summary of The Role Of Higher-order Cognitive Models in Active Learning, by Oskar Keurulainen et al.
Summary of Ignite: Individualized Generation Of Imputations in Time-series Electronic Health Records, by Ghadeer O. Ghosheh et al.
Summary of Meta-forests: Domain Generalization on Random Forests with Meta-learning, by Yuyang Sun et al.
Summary of Ai Competitions and Benchmarks, Practical Issues: Proposals, Grant Money, Sponsors, Prizes, Dissemination, Publicity, by Magali Richard (timc-mage) et al.
Summary of Phileo Bench: Evaluating Geo-spatial Foundation Models, by Casper Fibaek et al.
Summary of Continuously Learning New Words in Automatic Speech Recognition, by Christian Huber and Alexander Waibel
Summary of Semi-supervised Deep Sobolev Regression: Estimation and Variable Selection by Requ Neural Network, By Zhao Ding and Chenguang Duan and Yuling Jiao and Jerry Zhijian Yang
Summary of Optimal Survival Trees: a Dynamic Programming Approach, by Tim Huisman et al.
Summary of Evaluating Language Model Agency Through Negotiations, by Tim R. Davidson et al.
Summary of Linear Recursive Feature Machines Provably Recover Low-rank Matrices, by Adityanarayanan Radhakrishnan et al.
Summary of Robust Imitation Learning For Automated Game Testing, by Pierluigi Vito Amadori et al.
Summary of Distribution-free Conformal Joint Prediction Regions For Neural Marked Temporal Point Processes, by Victor Dheur and Tanguy Bosser and Rafael Izbicki and Souhaib Ben Taieb
Summary of Eda-dm: Enhanced Distribution Alignment For Post-training Quantization Of Diffusion Models, by Xuewen Liu et al.
Summary of Deep Reinforcement Multi-agent Learning Framework For Information Gathering with Local Gaussian Processes For Water Monitoring, by Samuel Yanes Luis et al.
Summary of Benchmark Analysis Of Various Pre-trained Deep Learning Models on Assira Cats and Dogs Dataset, by Galib Muhammad Shahriar Himel et al.
Summary of On the Potential Of the Fractal Geometry and the Cnns Ability to Encode It, by Julia El Zini et al.
Summary of Robust Calibration For Improved Weather Prediction Under Distributional Shift, by Sankalp Gilda et al.
Summary of Learn Once Plan Arbitrarily (lopa): Attention-enhanced Deep Reinforcement Learning Method For Global Path Planning, by Guoming Huang et al.
Summary of Online Test-time Adaptation Of Spatial-temporal Traffic Flow Forecasting, by Pengxin Guo et al.
Summary of Chain Of Lora: Efficient Fine-tuning Of Language Models Via Residual Learning, by Wenhan Xia et al.
Summary of Efficient Selective Audio Masked Multimodal Bottleneck Transformer For Audio-video Classification, by Wentao Zhu
Summary of Curiosity & Entropy Driven Unsupervised Rl in Multiple Environments, by Shaurya Dewan et al.
Summary of Scalable Normalizing Flows Enable Boltzmann Generators For Macromolecules, by Joseph C. Kim et al.
Summary of Attention Versus Contrastive Learning Of Tabular Data — a Data-centric Benchmarking, by Shourav B. Rabbani et al.
Summary of Explaining the Power Of Topological Data Analysis in Graph Machine Learning, by Funmilola Mary Taiwo et al.
Summary of Predicting the Structure Of Dynamic Graphs, by Sevvandi Kandanaarachchi et al.
Summary of A Fast Graph Search Algorithm with Dynamic Optimization and Reduced Histogram For Discrimination Of Binary Classification Problem, by Qinwu Xu
Summary of Universal Consistency Of Wide and Deep Relu Neural Networks and Minimax Optimal Convergence Rates For Kolmogorov-donoho Optimal Function Classes, by Hyunouk Ko and Xiaoming Huo
Summary of Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-theory Intuitions, by Andreas Kirsch
Summary of Private Truly-everlasting Robust-prediction, by Uri Stemmer
Summary of Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: a Robustness Study, by Qiyu Kang et al.
Summary of Deep Efficient Private Neighbor Generation For Subgraph Federated Learning, by Ke Zhang et al.
Summary of G-meta: Distributed Meta Learning in Gpu Clusters For Large-scale Recommender Systems, by Youshao Xiao et al.
Summary of Private Fine-tuning Of Large Language Models with Zeroth-order Optimization, by Xinyu Tang et al.
Summary of Enhancing Acute Kidney Injury Prediction Through Integration Of Drug Features in Intensive Care Units, by Gabriel D. M. Manalu et al.
Summary of Design a Metric Robust to Complicated High Dimensional Noise For Efficient Manifold Denoising, by Hau-tieng Wu
Summary of Guiding Drones by Information Gain, By Alouette Van Hove et al.
Summary of Comparing Data-driven and Mechanistic Models For Predicting Phenology in Deciduous Broadleaf Forests, by Christian Reimers et al.
Summary of A Primer on Temporal Graph Learning, by Aniq Ur Rahman et al.
Summary of Differential Equations For Continuous-time Deep Learning, by Lars Ruthotto
Summary of Behavioural Cloning in Vizdoom, by Ryan Spick et al.
Summary of Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems, by Rico Angell
Summary of Generative Adversarial Wavelet Neural Operator: Application to Fault Detection and Isolation Of Multivariate Time Series Data, by Jyoti Rani and Tapas Tripura and Hariprasad Kodamana and Souvik Chakraborty
Summary of Weak Correlations As the Underlying Principle For Linearization Of Gradient-based Learning Systems, by Ori Shem-ur et al.
Summary of Efficient Multiscale Multimodal Bottleneck Transformer For Audio-video Classification, by Wentao Zhu
Summary of Empirical Analysis Of Efficient Fine-tuning Methods For Large Pre-trained Language Models, by Nigel Doering et al.
Summary of A Minimaximalist Approach to Reinforcement Learning From Human Feedback, by Gokul Swamy et al.
Summary of Convex Sgd: Generalization Without Early Stopping, by Julien Hendrickx and Alex Olshevsky
Summary of Variance Reduction in Ratio Metrics For Efficient Online Experiments, by Shubham Baweja et al.
Summary of Fun with Flags: Robust Principal Directions Via Flag Manifolds, by Nathan Mankovich et al.
Summary of Mixtral Of Experts, by Albert Q. Jiang et al.
Summary of Plug-and-play Transformer Modules For Test-time Adaptation, by Xiangyu Chang et al.