Paper List

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Summary of Can Transformers Do Enumerative Geometry?, by Baran Hashemi et al.
Summary of Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling For Long-tailed Continual Learning, by Lei Liu and Li Liu and Yawen Cui
Summary of Cross-modal Learning For Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning, by Sakhinana Sagar Srinivas et al.
Summary of Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold, by Lazar Atanackovic et al.
Summary of Efficient Fine-tuning Of 37-level Graphcast with the Canadian Global Deterministic Analysis, by Christopher Subich
Summary of General Targeted Machine Learning For Modern Causal Mediation Analysis, by Richard Liu et al.
Summary of Biased Dueling Bandits with Stochastic Delayed Feedback, by Bongsoo Yi et al.
Summary of Kgprune: a Web Application to Extract Subgraphs Of Interest From Wikidata with Analogical Pruning, by Pierre Monnin et al.
Summary of Hybrid Deep Convolutional Neural Networks Combined with Autoencoders and Augmented Data to Predict the Look-up Table 2006, by Messaoud Djeddou et al.
Summary of Can Optimization Trajectories Explain Multi-task Transfer?, by David Mueller et al.
Summary of Enhancing Neural Network Interpretability Through Conductance-based Information Plane Analysis, by Jaouad Dabounou and Amine Baazzouz
Summary of A Synthetic Benchmark to Explore Limitations Of Localized Drift Detections, by Flavio Giobergia et al.
Summary of Detecting Interpretable Subgroup Drifts, by Flavio Giobergia et al.
Summary of Pat: Pruning-aware Tuning For Large Language Models, by Yijiang Liu et al.
Summary of General-kindred Physics-informed Neural Network to the Solutions Of Singularly Perturbed Differential Equations, by Sen Wang et al.
Summary of Tart: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training, by Bongsoo Yi et al.
Summary of Training-free Time-series Anomaly Detection: Leveraging Image Foundation Models, by Nobuo Namura et al.
Summary of Learning Effective Pruning at Initialization From Iterative Pruning, by Shengkai Liu et al.
Summary of Learning Differentially Private Diffusion Models Via Stochastic Adversarial Distillation, by Bochao Liu et al.
Summary of Explainable Hierarchical Urban Representation Learning For Commuting Flow Prediction, by Mingfei Cai et al.
Summary of Channel-wise Influence: Estimating Data Influence For Multivariate Time Series, by Muyao Wang and Zeke Xie and Bo Chen
Summary of Ginn-kan: Interpretability Pipelining with Applications in Physics Informed Neural Networks, by Nisal Ranasinghe et al.
Summary of Instruct-skillmix: a Powerful Pipeline For Llm Instruction Tuning, by Simran Kaur et al.
Summary of Knowledge Graph Modeling-driven Large Language Model Operating System (llm Os) For Task Automation in Process Engineering Problem-solving, by Sakhinana Sagar Srinivas et al.
Summary of Multi-normal Prototypes Learning For Weakly Supervised Anomaly Detection, by Zhijin Dong et al.
Summary of Shedad: Snn-enhanced District Heating Anomaly Detection For Urban Substations, by Jonne Van Dreven et al.
Summary of Applying Graph Neural Network to Supplygraph For Supply Chain Network, by Kihwan Han
Summary of Physics-informed Neural Network For Concrete Manufacturing Process Optimization, by Sam Varghese et al.
Summary of Distilling Long-tailed Datasets, by Zhenghao Zhao et al.
Summary of Language Model Empowered Spatio-temporal Forecasting Via Physics-aware Reprogramming, by Hao Wang et al.
Summary of Artificial Intelligence For Science: the Easy and Hard Problems, by Ruairidh M. Battleday and Samuel J. Gershman
Summary of Unveiling the Statistical Foundations Of Chain-of-thought Prompting Methods, by Xinyang Hu et al.
Summary of Llms As Zero-shot Graph Learners: Alignment Of Gnn Representations with Llm Token Embeddings, by Duo Wang and Yuan Zuo and Fengzhi Li and Junjie Wu
Summary of Variational Autoencoder-based Neural Network Model Compression, by Liang Cheng et al.
Summary of A Multilateral Attention-enhanced Deep Neural Network For Disease Outbreak Forecasting: a Case Study on Covid-19, by Ashutosh Anshul et al.
Summary of Improving Nonlinear Projection Heads Using Pretrained Autoencoder Embeddings, by Andreas Schliebitz et al.
Summary of Estimating Uncertainty with Implicit Quantile Network, by Yi Hung Lim
Summary of Retrieval Augmented Generation For Dynamic Graph Modeling, by Yuxia Wu et al.
Summary of Towards Graph Prompt Learning: a Survey and Beyond, by Qingqing Long et al.
Summary of Adaptive Resolution Inference (ari): Energy-efficient Machine Learning For Internet Of Things, by Ziheng Wang et al.
Summary of Aiding Humans in Financial Fraud Decision Making: Toward An Xai-visualization Framework, by Angelos Chatzimparmpas and Evanthia Dimara
Summary of Exploring the Potential Of Synthetic Data to Replace Real Data, by Hyungtae Lee and Yan Zhang and Heesung Kwon and Shuvra S. Bhattacharrya
Summary of Curlora: Stable Llm Continual Fine-tuning and Catastrophic Forgetting Mitigation, by Muhammad Fawi
Summary of Investigating Language-specific Calibration For Pruning Multilingual Large Language Models, by Simon Kurz et al.
Summary of Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation For Global Solar Mapping, by Vishal Batchu et al.
Summary of Log-vmamba: Local-global Vision Mamba For Medical Image Segmentation, by Trung Dinh Quoc Dang et al.
Summary of Hyperdimensional Computing Empowered Federated Foundation Model Over Wireless Networks For Metaverse, by Yahao Ding et al.
Summary of Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications, by Luyue Xu et al.
Summary of Social Perception Of Faces in a Vision-language Model, by Carina I. Hausladen et al.
Summary of Evaluating Saliency Scores in Point Clouds Of Natural Environments by Learning Surface Anomalies, By Reuma Arav et al.
Summary of Symmetry & Critical Points, by Yossi Arjevani
Summary of Model Parallel Training and Transfer Learning For Convolutional Neural Networks by Domain Decomposition, By Axel Klawonn and Martin Lanser and Janine Weber
Summary of Reconstructing Physiological Signals From Fmri Across the Adult Lifespan, by Shiyu Wang et al.
Summary of A Domain Decomposition-based Autoregressive Deep Learning Model For Unsteady and Nonlinear Partial Differential Equations, by Sheel Nidhan et al.
Summary of A Practitioner’s Guide to Continual Multimodal Pretraining, by Karsten Roth et al.
Summary of Gravix: Active Learning For Gravitational Waves Classification Algorithms, by Raja Vavekanand et al.
Summary of Active Learning Of Digenic Functions with Boolean Matrix Logic Programming, by Lun Ai et al.
Summary of Multi-task Multi-fidelity Learning Of Properties For Energetic Materials, by Robert J. Appleton et al.
Summary of Agentic Retrieval-augmented Generation For Time Series Analysis, by Chidaksh Ravuru et al.
Summary of Multimodal Methods For Analyzing Learning and Training Environments: a Systematic Literature Review, by Clayton Cohn et al.
Summary of Extraction Of Typical Operating Scenarios Of New Power System Based on Deep Time Series Aggregation, by Zhaoyang Qu et al.
Summary of Evolvable Psychology Informed Neural Network For Memory Behavior Modeling, by Xiaoxuan Shen and Zhihai Hu and Qirong Chen and Shengyingjie Liu and Ruxia Liang and Jianwen Sun
Summary of A New Era in Computational Pathology: a Survey on Foundation and Vision-language Models, by Dibaloke Chanda et al.
Summary of Provable Imbalanced Point Clustering, by David Denisov et al.
Summary of Fsdem: Feature Selection Dynamic Evaluation Metric, by Muhammad Rajabinasab et al.
Summary of Gallery-aware Uncertainty Estimation For Open-set Face Recognition, by Leonid Erlygin et al.
Summary of Dsti at Llms4ol 2024 Task A: Intrinsic Versus Extrinsic Knowledge For Type Classification, by Hanna Abi Akl
Summary of An Evaluation Of Explanation Methods For Black-box Detectors Of Machine-generated Text, by Loris Schoenegger et al.
Summary of 1-bit Fqt: Pushing the Limit Of Fully Quantized Training to 1-bit, by Chang Gao et al.
Summary of May the Forgetting Be with You: Alternate Replay For Learning with Noisy Labels, by Monica Millunzi and Lorenzo Bonicelli and Angelo Porrello and Jacopo Credi and Petter N. Kolm and Simone Calderara
Summary of Uncertainties Of Latent Representations in Computer Vision, by Michael Kirchhof
Summary of Llm-3d Print: Large Language Models to Monitor and Control 3d Printing, by Yayati Jadhav et al.
Summary of Rethinking Knowledge Transfer in Learning Using Privileged Information, by Danil Provodin et al.
Summary of Function-space Mcmc For Bayesian Wide Neural Networks, by Lucia Pezzetti et al.
Summary of Streamline Tractography Of the Fetal Brain in Utero with Machine Learning, by Weide Liu et al.
Summary of One-layer Transformers Fail to Solve the Induction Heads Task, by Clayton Sanford and Daniel Hsu and Matus Telgarsky
Summary of Automated Machine Learning in Insurance, by Panyi Dong et al.
Summary of Assessing Contamination in Large Language Models: Introducing the Logprober Method, by Nicolas Yax and Pierre-yves Oudeyer and Stefano Palminteri
Summary of An Embedding Is Worth a Thousand Noisy Labels, by Francesco Di Salvo and Sebastian Doerrich and Ines Rieger and Christian Ledig
Summary of Exploiting Conjugate Label Information For Multi-instance Partial-label Learning, by Wei Tang et al.
Summary of Selex: Self-expertise in Fine-grained Generalized Category Discovery, by Sarah Rastegar et al.
Summary of Learning Tree-structured Composition Of Data Augmentation, by Dongyue Li et al.
Summary of Reprogramming Foundational Large Language Models(llms) For Enterprise Adoption For Spatio-temporal Forecasting Applications: Unveiling a New Era in Copilot-guided Cross-modal Time Series Representation Learning, by Sakhinana Sagar Srinivas et al.
Summary of Decentralized Federated Learning with Model Caching on Mobile Agents, by Xiaoyu Wang et al.
Summary of Improving Water Quality Time-series Prediction in Hong Kong Using Sentinel-2 Msi Data and Google Earth Engine Cloud Computing, by Rohin Sood et al.
Summary of Category-theoretical and Topos-theoretical Frameworks in Machine Learning: a Survey, by Yiyang Jia et al.
Summary of An Item Response Theory-based R Module For Algorithm Portfolio Analysis, by Brodie Oldfield et al.
Summary of Surgen: Text-guided Diffusion Model For Surgical Video Generation, by Joseph Cho et al.
Summary of Mlr-copilot: Autonomous Machine Learning Research Based on Large Language Models Agents, by Ruochen Li et al.
Summary of Page: Parametric Generative Explainer For Graph Neural Network, by Yang Qiu and Wei Liu and Jun Wang and Ruixuan Li
Summary of Score-based Change Point Detection Via Tracking the Best Of Infinitely Many Experts, by Anna Markovich et al.
Summary of Estimating Causal Effects From Learned Causal Networks, by Anna Raichev et al.
Summary of Hierarchical Learning and Computing Over Space-ground Integrated Networks, by Jingyang Zhu et al.
Summary of Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings, by Miguel Alves Gomes et al.
Summary of Enhancing Fairness Through Reweighting: a Path to Attain the Sufficiency Rule, by Xuan Zhao and Klaus Broelemann and Salvatore Ruggieri and Gjergji Kasneci
Summary of Theoretical Proportion Label Perturbation For Learning From Label Proportions in Large Bags, by Shunsuke Kubo et al.
Summary of 2d-malafide: Adversarial Attacks Against Face Deepfake Detection Systems, by Chiara Galdi et al.
Summary of Exploring the Potential Of Large Language Models For Heterophilic Graphs, by Yuxia Wu et al.
Summary of Neighborhood and Global Perturbations Supported Sam in Federated Learning: From Local Tweaks to Global Awareness, by Boyuan Li et al.
Summary of Tsak: Two-stage Semantic-aware Knowledge Distillation For Efficient Wearable Modality and Model Optimization in Manufacturing Lines, by Hymalai Bello et al.