Paper List

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Summary of Unveiling Disparities in Maternity Care: a Topic Modelling Approach to Analysing Maternity Incident Investigation Reports, by Georgina Cosma et al.
Summary of A Cantor-kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning, by Adrien Banse et al.
Summary of Hdt: Hierarchical Document Transformer, by Haoyu He et al.
Summary of Automating Weak Label Generation For Data Programming with Clinicians in the Loop, by Jean Park et al.
Summary of Icd Codes Are Insufficient to Create Datasets For Machine Learning: An Evaluation Using All Of Us Data For Coccidioidomycosis and Myocardial Infarction, by Abigail E. Whitlock et al.
Summary of What’s the Score? Automated Denoising Score Matching For Nonlinear Diffusions, by Raghav Singhal et al.
Summary of Machine Learning For Alsfrs-r Score Prediction: Making Sense Of the Sensor Data, by Ritesh Mehta et al.
Summary of A New Self-organizing Interval Type-2 Fuzzy Neural Network For Multi-step Time Series Prediction, by Fulong Yao et al.
Summary of A Critical Review Of Causal Reasoning Benchmarks For Large Language Models, by Linying Yang et al.
Summary of Rolora: Fine-tuning Rotated Outlier-free Llms For Effective Weight-activation Quantization, by Xijie Huang et al.
Summary of Spatial-temporal Attention Model For Traffic State Estimation with Sparse Internet Of Vehicles, by Jianzhe Xue et al.
Summary of Pareto Low-rank Adapters: Efficient Multi-task Learning with Preferences, by Nikolaos Dimitriadis et al.
Summary of Tinygraph: Joint Feature and Node Condensation For Graph Neural Networks, by Yezi Liu et al.
Summary of Smooth Like Butter: Evaluating Multi-lattice Transitions in Property-augmented Latent Spaces, by Martha Baldwin et al.
Summary of Density Estimation Via Binless Multidimensional Integration, by Matteo Carli et al.
Summary of Non-convergence Of Adam and Other Adaptive Stochastic Gradient Descent Optimization Methods For Non-vanishing Learning Rates, by Steffen Dereich and Robin Graeber and Arnulf Jentzen
Summary of Advanced Meta-ensemble Machine Learning Models For Early and Accurate Sepsis Prediction to Improve Patient Outcomes, by Mohammadamin Ansari Khoushabar et al.
Summary of Urban Waterlogging Detection: a Challenging Benchmark and Large-small Model Co-adapter, by Suqi Song et al.
Summary of How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-context Abilities, by Jerry Huang
Summary of Real-time Summarization Of Twitter, by Yixin Jin et al.
Summary of Highway Networks For Improved Surface Reconstruction: the Role Of Residuals and Weight Updates, by A. Noorizadegan et al.
Summary of Synthetic Electroretinogram Signal Generation Using Conditional Generative Adversarial Network For Enhancing Classification Of Autism Spectrum Disorder, by Mikhail Kulyabin et al.
Summary of Faster Machine Unlearning Via Natural Gradient Descent, by Omri Lev and Ashia Wilson
Summary of Deep-graph-sprints: Accelerated Representation Learning in Continuous-time Dynamic Graphs, by Ahmad Naser Eddin et al.
Summary of Paligemma: a Versatile 3b Vlm For Transfer, by Lucas Beyer et al.
Summary of Ramsey Theorems For Trees and a General ‘private Learning Implies Online Learning’ Theorem, by Simone Fioravanti et al.
Summary of Fine-tuning Large Language Models with User-level Differential Privacy, by Zachary Charles et al.
Summary of Reinforcement Learning Of Adaptive Acquisition Policies For Inverse Problems, by Gianluigi Silvestri et al.
Summary of Rosa: Random Subspace Adaptation For Efficient Fine-tuning, by Marawan Gamal Abdel Hameed et al.
Summary of Evaluating Large Language Models with Grid-based Game Competitions: An Extensible Llm Benchmark and Leaderboard, by Oguzhan Topsakal et al.
Summary of Transformer Block Coupling and Its Correlation with Generalization in Llms, by Murdock Aubry et al.
Summary of The Misclassification Likelihood Matrix: Some Classes Are More Likely to Be Misclassified Than Others, by Daniel Sikar et al.
Summary of When to Accept Automated Predictions and When to Defer to Human Judgment?, by Daniel Sikar et al.
Summary of Estimating the Stability Number Of a Random Graph Using Convolutional Neural Networks, by Randy Davila
Summary of Uncovering Layer-dependent Activation Sparsity Patterns in Relu Transformers, by Cody Wild et al.
Summary of Opendiloco: An Open-source Framework For Globally Distributed Low-communication Training, by Sami Jaghouar et al.
Summary of Facts About Building Retrieval Augmented Generation-based Chatbots, by Rama Akkiraju et al.
Summary of Dynamical Measure Transport and Neural Pde Solvers For Sampling, by Jingtong Sun et al.
Summary of Toto: Time Series Optimized Transformer For Observability, by Ben Cohen et al.
Summary of Towards Robust Alignment Of Language Models: Distributionally Robustifying Direct Preference Optimization, by Junkang Wu et al.
Summary of Llava-next-interleave: Tackling Multi-image, Video, and 3d in Large Multimodal Models, by Feng Li et al.
Summary of Deconstructing What Makes a Good Optimizer For Language Models, by Rosie Zhao et al.
Summary of Training on the Test Task Confounds Evaluation and Emergence, by Ricardo Dominguez-olmedo et al.
Summary of Glbench: a Comprehensive Benchmark For Graph with Large Language Models, by Yuhan Li et al.
Summary of Man Truckscenes: a Multimodal Dataset For Autonomous Trucking in Diverse Conditions, by Felix Fent et al.
Summary of Rigorous Probabilistic Guarantees For Robust Counterfactual Explanations, by Luca Marzari et al.
Summary of Fine-grained Classification For Poisonous Fungi Identification with Transfer Learning, by Christopher Chiu et al.
Summary of Chilli: a Data Context-aware Perturbation Method For Xai, by Saif Anwar et al.
Summary of Machine Unlearning For Medical Imaging, by Reza Nasirigerdeh et al.
Summary of Mlrs-pds: a Meta-learning Recommendation Of Dynamic Ensemble Selection Pipelines, by Hesam Jalalian and Rafael M. O. Cruz
Summary of Simplifying Source-free Domain Adaptation For Object Detection: Effective Self-training Strategies and Performance Insights, by Yan Hao et al.
Summary of Learning Treatment Effects While Treating Those in Need, by Bryan Wilder et al.
Summary of Physics-informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models For Engineering Design, by Shahroz Khan et al.
Summary of Resource Allocation For Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network, by Yu Xie et al.
Summary of Teaching Transformers Causal Reasoning Through Axiomatic Training, by Aniket Vashishtha et al.
Summary of Probabilistic Learning Rate Scheduler with Provable Convergence, by Dahlia Devapriya et al.
Summary of Explaining Graph Neural Networks For Node Similarity on Graphs, by Daniel Daza et al.
Summary of Pessimism Meets Risk: Risk-sensitive Offline Reinforcement Learning, by Dake Zhang et al.
Summary of The Selective G-bispectrum and Its Inversion: Applications to G-invariant Networks, by Simon Mataigne et al.
Summary of How to Leverage Predictive Uncertainty Estimates For Reducing Catastrophic Forgetting in Online Continual Learning, by Giuseppe Serra et al.
Summary of Stochastic Gradient Descent For Two-layer Neural Networks, by Dinghao Cao et al.
Summary of Split Conformal Prediction Under Data Contamination, by Jase Clarkson et al.
Summary of Feasibility Study on Active Learning Of Smart Surrogates For Scientific Simulations, by Pradeep Bajracharya et al.
Summary of Rotrnn: Modelling Long Sequences with Rotations, by Kai Biegun et al.
Summary of Lifestyle-informed Personalized Blood Biomarker Prediction Via Novel Representation Learning, by A. Ali Heydari et al.
Summary of Causal Discovery-driven Change Point Detection in Time Series, by Shanyun Gao et al.
Summary of Identification Of Emotions on Twitter During the 2022 Electoral Process in Colombia, by Juan Jose Iguaran Fernandez et al.
Summary of Causal Discovery in Semi-stationary Time Series, by Shanyun Gao et al.
Summary of Vitime: a Visual Intelligence-based Foundation Model For Time Series Forecasting, by Luoxiao Yang et al.
Summary of Flow to Rare Events: An Application Of Normalizing Flow in Temporal Importance Sampling For Automated Vehicle Validation, by Yichun Ye et al.
Summary of Catp: Context-aware Trajectory Prediction with Competition Symbiosis, by Jiang Wu et al.
Summary of Mitigating Partial Observability in Sequential Decision Processes Via the Lambda Discrepancy, by Cameron Allen et al.
Summary of Towards Complete Causal Explanation with Expert Knowledge, by Aparajithan Venkateswaran et al.
Summary of Long-term Fairness in Sequential Multi-agent Selection with Positive Reinforcement, by Bhagyashree Puranik et al.
Summary of A Deep Graph Model For the Signed Interaction Prediction in Biological Network, by Shuyi Jin et al.
Summary of Insight: Universal Neural Simulator For Analog Circuits Harnessing Autoregressive Transformers, by Souradip Poddar et al.
Summary of Real-time System Optimal Traffic Routing Under Uncertainties — Can Physics Models Boost Reinforcement Learning?, by Zemian Ke et al.
Summary of Towards a Text-based Quantitative and Explainable Histopathology Image Analysis, by Anh Tien Nguyen et al.
Summary of Sgm-pinn: Sampling Graphical Models For Faster Training Of Physics-informed Neural Networks, by John Anticev et al.
Summary of Automatic Extraction Of Disease Risk Factors From Medical Publications, by Maxim Rubchinsky et al.
Summary of Mutual Information Calculation on Different Appearances, by Jiecheng Liao et al.
Summary of Federated Pca on Grassmann Manifold For Iot Anomaly Detection, by Tung-anh Nguyen et al.
Summary of Cm-dqn: a Value-based Deep Reinforcement Learning Model to Simulate Confirmation Bias, by Jiacheng Shen et al.
Summary of A Complete Set Of Quadratic Constraints For Repeated Relu and Generalizations, by Sahel Vahedi Noori et al.
Summary of Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory, by Jiajun Liang et al.
Summary of Can Virtual Staining For High-throughput Screening Generalize?, by Samuel Tonks et al.
Summary of Self-recognition in Language Models, by Tim R. Davidson et al.
Summary of Etalon: Holistic Performance Evaluation Framework For Llm Inference Systems, by Amey Agrawal et al.
Summary of End-to-end Causal Effect Estimation From Unstructured Natural Language Data, by Nikita Dhawan et al.
Summary of Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps, by Yung-sung Chuang et al.
Summary of Can Learned Optimization Make Reinforcement Learning Less Difficult?, by Alexander David Goldie et al.
Summary of Explainable Differential Privacy-hyperdimensional Computing For Balancing Privacy and Transparency in Additive Manufacturing Monitoring, by Fardin Jalil Piran and Prathyush P. Poduval and Hamza Errahmouni Barkam and Mohsen Imani and Farhad Imani
Summary of Stabilized Proximal-point Methods For Federated Optimization, by Xiaowen Jiang et al.
Summary of Copybench: Measuring Literal and Non-literal Reproduction Of Copyright-protected Text in Language Model Generation, by Tong Chen et al.
Summary of Fine-tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic, by Ruochen Jin et al.
Summary of Fbi-llm: Scaling Up Fully Binarized Llms From Scratch Via Autoregressive Distillation, by Liqun Ma and Mingjie Sun and Zhiqiang Shen
Summary of Foundation Models For Ecg: Leveraging Hybrid Self-supervised Learning For Advanced Cardiac Diagnostics, by Junho Song et al.
Summary of Nash Cot: Multi-path Inference with Preference Equilibrium, by Ziqi Zhang et al.
Summary of Diffusion Model-based Video Editing: a Survey, by Wenhao Sun et al.
Summary of Modularity Aided Consistent Attributed Graph Clustering Via Coarsening, by Samarth Bhatia (1) et al.