Paper List

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Summary of Fusing Forces: Deep-human-guided Refinement Of Segmentation Masks, by Rafael Sterzinger et al.
Summary of Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts, by Naimeng Ye and Hongseok Namkoong
Summary of Scaling Llm Test-time Compute Optimally Can Be More Effective Than Scaling Model Parameters, by Charlie Snell et al.
Summary of Interpretation Of the Intent Detection Problem As Dynamics in a Low-dimensional Space, by Eduardo Sanchez-karhunen et al.
Summary of Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration, by Luciana Ferrer and Daniel Ramos
Summary of Heterogeneous Graph Attention Network Improves Cancer Multiomics Integration, by Sina Tabakhi et al.
Summary of Active Learning For Wban-based Health Monitoring, by Cho-chun Chiu et al.
Summary of A Framework For Fine-tuning Llms Using Heterogeneous Feedback, by Ryan Aponte (1) et al.
Summary of Back-projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models, by Borong Zhang et al.
Summary of Compromising Embodied Agents with Contextual Backdoor Attacks, by Aishan Liu et al.
Summary of A Metric Driven Approach to Mixed Precision Training, by Mitchelle Rasquinha et al.
Summary of Harmonic: Harnessing Llms For Tabular Data Synthesis and Privacy Protection, by Yuxin Wang et al.
Summary of The Need For a Big World Simulator: a Scientific Challenge For Continual Learning, by Saurabh Kumar et al.
Summary of Doubly Stochastic Adaptive Neighbors Clustering Via the Marcus Mapping, by Jinghui Yuan et al.
Summary of Achieving More with Less: a Tensor-optimization-powered Ensemble Method, by Jinghui Yuan et al.
Summary of Data-driven Stochastic Closure Modeling Via Conditional Diffusion Model and Neural Operator, by Xinghao Dong et al.
Summary of Kolmogorov-arnold Pointnet: Deep Learning For Prediction Of Fluid Fields on Irregular Geometries, by Ali Kashefi
Summary of Parameter-efficient Electromagnetic Surrogate Solver For Broadband Field Prediction Using Discrete Wavelength Data, by Joonhyuk Seo et al.
Summary of Federated Learning Architectures: a Performance Evaluation with Crop Yield Prediction Application, by Anwesha Mukherjee et al.
Summary of A Differential Smoothness-based Compact-dynamic Graph Convolutional Network For Spatiotemporal Signal Recovery, by Pengcheng Gao et al.
Summary of Highly Efficient Self-adaptive Reward Shaping For Reinforcement Learning, by Haozhe Ma et al.
Summary of Research on Autonomous Driving Decision-making Strategies Based Deep Reinforcement Learning, by Zixiang Wang et al.
Summary of Certifiably Robust Policies For Uncertain Parametric Environments, by Yannik Schnitzer et al.
Summary of Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective, by Taeyoung Kim et al.
Summary of Applications Of Scientific Machine Learning For the Analysis Of Functionally Graded Porous Beams, by Mohammad Sadegh Eshaghi et al.
Summary of Spatial-temporal Graph Convolutional Networks with Diversified Transformation For Dynamic Graph Representation Learning, by Ling Wang et al.
Summary of Psne: Efficient Spectral Sparsification Algorithms For Scaling Network Embedding, by Longlong Lin et al.
Summary of Bayesian Kolmogorov Arnold Networks (bayesian_kans): a Probabilistic Approach to Enhance Accuracy and Interpretability, by Masoud Muhammed Hassan
Summary of Snape — Training Snapshot Ensembles Of Link Prediction Models, by Ali Shaban and Heiko Paulheim
Summary of Rcdm: Enabling Robustness For Conditional Diffusion Model, by Weifeng Xu et al.
Summary of Mdm: Advancing Multi-domain Distribution Matching For Automatic Modulation Recognition Dataset Synthesis, by Dongwei Xu et al.
Summary of A Novel Hybrid Approach For Tornado Prediction in the United States: Kalman-convolutional Bilstm with Multi-head Attention, by Jiawei Zhou
Summary of Condl: Detector-free Dense Image Matching, by Monika Kwiatkowski et al.
Summary of Dimensionality Reduction and Nearest Neighbors For Improving Out-of-distribution Detection in Medical Image Segmentation, by Mckell Woodland et al.
Summary of 4d-var Using Hessian Approximation and Backpropagation Applied to Automatically-differentiable Numerical and Machine Learning Models, by Kylen Solvik et al.
Summary of Examining Gender and Power on Wikipedia Through Face and Politeness, by Adil Soubki et al.
Summary of Algorithm-informed Graph Neural Networks For Leakage Detection and Localization in Water Distribution Networks, by Zepeng Zhang et al.
Summary of Deciphering Air Travel Disruptions: a Machine Learning Approach, by Aravinda Jatavallabha et al.
Summary of Pre-trained Encoder Inference: Revealing Upstream Encoders in Downstream Machine Learning Services, by Shaopeng Fu et al.
Summary of Mitigating Malicious Attacks in Federated Learning Via Confidence-aware Defense, by Qilei Li et al.
Summary of Dacapo: a Modular Deep Learning Framework For Scalable 3d Image Segmentation, by William Patton et al.
Summary of Wave-rvfl: a Randomized Neural Network Based on Wave Loss Function, by M. Sajid et al.
Summary of Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances, by Lang Zeng et al.
Summary of Lmems For Post-hoc Analysis Of Hpo Benchmarking, by Anton Geburek and Neeratyoy Mallik and Danny Stoll and Xavier Bouthillier and Frank Hutter
Summary of Process-constrained Batch Bayesian Approaches For Yield Optimization in Multi-reactor Systems, by Markus Grimm et al.
Summary of Rag Foundry: a Framework For Enhancing Llms For Retrieval Augmented Generation, by Daniel Fleischer et al.
Summary of Artificial Intelligence For Public Health Surveillance in Africa: Applications and Opportunities, by Jean Marie Tshimula et al.
Summary of Ai-driven Strategies For Reducing Student Withdrawal — a Study Of Emu Student Stopout, by Yan Zhao et al.
Summary of Patient-centered Data Science: An Integrative Framework For Evaluating and Predicting Clinical Outcomes in the Digital Health Era, by Mohsen Amoei et al.
Summary of On Using Quasirandom Sequences in Machine Learning For Model Weight Initialization, by Andriy Miranskyy and Adam Sorrenti and Viral Thakar
Summary of Convergence Rates Of Stochastic Gradient Method with Independent Sequences Of Step-size and Momentum Weight, by Wen-liang Hwang
Summary of Visual Analysis Of Multi-outcome Causal Graphs, by Mengjie Fan et al.
Summary of Recording First-person Experiences to Build a New Type Of Foundation Model, by Dionis Barcari et al.
Summary of Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability, by Sai Balaji et al.
Summary of Artificial Neural Networks For Photonic Applications: From Algorithms to Implementation, by Pedro Freire et al.
Summary of A Systematic Review Of Intermediate Fusion in Multimodal Deep Learning For Biomedical Applications, by Valerio Guarrasi et al.
Summary of Open Set Recognition For Random Forest, by Guanchao Feng et al.
Summary of A Probabilistic Framework For Learning Non-intrusive Corrections to Long-time Climate Simulations From Short-time Training Data, by Benedikt Barthel Sorensen et al.
Summary of Spatio-temporal Partial Sensing Forecast For Long-term Traffic, by Zibo Liu et al.
Summary of Kan Based Autoencoders For Factor Models, by Tianqi Wang et al.
Summary of Symmetric Graph Contrastive Learning Against Noisy Views For Recommendation, by Chu Zhao et al.
Summary of Attention Is All You Need For An Improved Cnn-based Flash Flood Susceptibility Modeling. the Case Of the Ungauged Rheraya Watershed, Morocco, by Akram Elghouat et al.
Summary of Distribution-level Memory Recall For Continual Learning: Preserving Knowledge and Avoiding Confusion, by Shaoxu Cheng et al.
Summary of Contrastive Learning and Abstract Concepts: the Case Of Natural Numbers, by Daniel N. Nissani (nissensohn)
Summary of Drformer: Multi-scale Transformer Utilizing Diverse Receptive Fields For Long Time-series Forecasting, by Ruixin Ding et al.
Summary of Generalized Gaussian Temporal Difference Error For Uncertainty-aware Reinforcement Learning, by Seyeon Kim et al.
Summary of Hardware Aware Ensemble Selection For Balancing Predictive Accuracy and Cost, by Jannis Maier et al.
Summary of Backward Compatibility in Attributive Explanation and Enhanced Model Training Method, by Ryuta Matsuno
Summary of Network Fission Ensembles For Low-cost Self-ensembles, by Hojung Lee et al.
Summary of A Sharp Convergence Theory For the Probability Flow Odes Of Diffusion Models, by Gen Li and Yuting Wei and Yuejie Chi and Yuxin Chen
Summary of Infusing Environmental Captions For Long-form Video Language Grounding, by Hyogun Lee et al.
Summary of Machine Learning Applications in Medical Prognostics: a Comprehensive Review, by Michael Fascia
Summary of Developing Pugg For Polish: a Modern Approach to Kbqa, Mrc, and Ir Dataset Construction, by Albert Sawczyn et al.
Summary of Exploiting Hankel-toeplitz Structures For Fast Computation Of Kernel Precision Matrices, by Frida Viset et al.
Summary of Quantile Regression Using Random Forest Proximities, by Mingshu Li et al.
Summary of Active Sensing Of Knee Osteoarthritis Progression with Reinforcement Learning, by Khanh Nguyen et al.
Summary of Strategic Federated Learning: Application to Smart Meter Data Clustering, by Hassan Mohamad et al.
Summary of On the Consistent Reasoning Paradox Of Intelligence and Optimal Trust in Ai: the Power Of ‘i Don’t Know’, by Alexander Bastounis et al.
Summary of Dialogue Ontology Relation Extraction Via Constrained Chain-of-thought Decoding, by Renato Vukovic et al.
Summary of Attenuation-adjusted Deep Learning Of Pore Defects in 2d Radiographs Of Additive Manufacturing Powders, by Andreas Bjerregaard and David Schumacher and Jon Sporring
Summary of Terracorder: Sense Long and Prosper, by Josh Millar et al.
Summary of On Probabilistic Embeddings in Optimal Dimension Reduction, by Ryan Murray and Adam Pickarski
Summary of Enhancing Heterogeneous Knowledge Graph Completion with a Novel Gat-based Approach, by Wanxu Wei et al.
Summary of Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion, by Pooya Janani (1) et al.
Summary of Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning, by Thomas Rudolf et al.
Summary of Dna-se: Towards Deep Neural-nets Assisted Semiparametric Estimation, by Qinshuo Liu et al.
Summary of Recovering the State and Dynamics Of Autonomous System with Partial States Solution Using Neural Networks, by Vijay Kag
Summary of Eol: Transductive Few-shot Open-set Recognition by Enhancing Outlier Logits, By Mateusz Ochal and Massimiliano Patacchiola and Malik Boudiaf and Sen Wang
Summary of Medsyn: Llm-based Synthetic Medical Text Generation Framework, by Gleb Kumichev et al.
Summary of A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks, by Zhe Yu et al.
Summary of Understanding Deep Learning Via Notions Of Rank, by Noam Razin
Summary of Human-inspired Explanations For Vision Transformers and Convolutional Neural Networks, by Mahadev Prasad Panda et al.
Summary of Selfbc: Self Behavior Cloning For Offline Reinforcement Learning, by Shirong Liu et al.
Summary of Recent Advances in Multi-choice Machine Reading Comprehension: a Survey on Methods and Datasets, by Shima Foolad et al.
Summary of Vidmodex: Interpretable and Efficient Black Box Model Extraction For High-dimensional Spaces, by Somnath Sendhil Kumar et al.
Summary of Codeact: Code Adaptive Compute-efficient Tuning Framework For Code Llms, by Weijie Lv et al.
Summary of Synergistic Learning with Multi-task Deeponet For Efficient Pde Problem Solving, by Varun Kumar et al.
Summary of Evaluating the Performance Of Large Language Models For Sdg Mapping (technical Report), by Hui Yin et al.
Summary of Climate-driven Doubling Of U.s. Maize Loss Probability: Interactive Simulation with Neural Network Monte Carlo, by a Samuel Pottinger et al.
Summary of Large Language Model Aided Qos Prediction For Service Recommendation, by Huiying Liu et al.