Paper List

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Summary of Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance Through Ad-hoc Conditional Permutations, by Fabrizio Maturo et al.
Summary of Ifh: a Diffusion Framework For Flexible Design Of Graph Generative Models, by Samuel Cognolato et al.
Summary of Protecting Against Simultaneous Data Poisoning Attacks, by Neel Alex et al.
Summary of Underwater Sonar Image Classification and Analysis Using Lime-based Explainable Artificial Intelligence, by Purushothaman Natarajan and Athira Nambiar
Summary of Hgnas: Hardware-aware Graph Neural Architecture Search For Edge Devices, by Ao Zhou et al.
Summary of Covid-19 Probability Prediction Using Machine Learning: An Infectious Approach, by Mohsen Asghari Ilani et al.
Summary of Online Fair Division with Contextual Bandits, by Arun Verma et al.
Summary of Multi-faceted Question Complexity Estimation Targeting Topic Domain-specificity, by Sujay R et al.
Summary of Memory-efficient Llm Training with Online Subspace Descent, by Kaizhao Liang et al.
Summary of Accelerated Markov Chain Monte Carlo Using Adaptive Weighting Scheme, by Yanbo Wang et al.
Summary of Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations For Fair Graph Neural Networks, by Yeon-chang Lee et al.
Summary of Iaa: Inner-adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities, by Bin Wang et al.
Summary of Smooth Infomax — Towards Easier Post-hoc Interpretability, by Fabian Denoodt et al.
Summary of Sumo: Search-based Uncertainty Estimation For Model-based Offline Reinforcement Learning, by Zhongjian Qiao et al.
Summary of Optimal Onthefly Feedback Control Of Event Sensors, by Valery Vishnevskiy et al.
Summary of Energy-efficient Spiking Recurrent Neural Network For Gesture Recognition on Embedded Gpus, by Marzieh Hassanshahi Varposhti et al.
Summary of Meddec: a Dataset For Extracting Medical Decisions From Discharge Summaries, by Mohamed Elgaar et al.
Summary of Enhancing Knowledge Tracing with Concept Map and Response Disentanglement, by Soonwook Park et al.
Summary of A Web-based Solution For Federated Learning with Llm-based Automation, by Chamith Mawela and Chaouki Ben Issaid and Mehdi Bennis
Summary of Focused Discriminative Training For Streaming Ctc-trained Automatic Speech Recognition Models, by Adnan Haider et al.
Summary of Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence, by Joseph Paillard et al.
Summary of Intellicare: Improving Healthcare Analysis with Variance-controlled Patient-level Knowledge From Large Language Models, by Zhihao Yu et al.
Summary of Hierarchical Spatio-temporal State-space Modeling For Fmri Analysis, by Yuxiang Wei et al.
Summary of Benchmarking Counterfactual Interpretability in Deep Learning Models For Time Series Classification, by Ziwen Kan et al.
Summary of Leveraging Information Consistency in Frequency and Spatial Domain For Adversarial Attacks, by Zhibo Jin et al.
Summary of Banktweak: Adversarial Attack Against Multi-object Trackers by Manipulating Feature Banks, By Woojin Shin et al.
Summary of Multimed: Massively Multimodal and Multitask Medical Understanding, by Shentong Mo et al.
Summary of Bayesian Network Modeling Of Causal Influence Within Cognitive Domains and Clinical Dementia Severity Ratings For Western and Indian Cohorts, by Wupadrasta Santosh Kumar et al.
Summary of Segment Anything Model For Grain Characterization in Hard Drive Design, by Kai Nichols et al.
Summary of Sql-gen: Bridging the Dialect Gap For Text-to-sql Via Synthetic Data and Model Merging, by Mohammadreza Pourreza et al.
Summary of Slm Meets Llm: Balancing Latency, Interpretability and Consistency in Hallucination Detection, by Mengya Hu and Rui Xu and Deren Lei and Yaxi Li and Mingyu Wang and Emily Ching and Eslam Kamal and Alex Deng
Summary of Adrs-cnet: An Adaptive Dimensionality Reduction Selection and Classification Network For Dna Storage Clustering Algorithms, by Bowen Liu and Jiankun Li
Summary of Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models, by Jean Park et al.
Summary of Semi-supervised Variational Adversarial Active Learning Via Learning to Rank and Agreement-based Pseudo Labeling, by Zongyao Lyu et al.
Summary of Contrastive Representation Learning For Dynamic Link Prediction in Temporal Networks, by Amirhossein Nouranizadeh et al.
Summary of Data-centric Approach to Constrained Machine Learning: a Case Study on Conway’s Game Of Life, by Anton Bibin et al.
Summary of Robust Predictions with Ambiguous Time Delays: a Bootstrap Strategy, by Jiajie Wang et al.
Summary of Event Detection Via Probability Density Function Regression, by Clark Peng et al.
Summary of Vale: a Multimodal Visual and Language Explanation Framework For Image Classifiers Using Explainable Ai and Language Models, by Purushothaman Natarajan and Athira Nambiar
Summary of Multi-treatment Multi-task Uplift Modeling For Enhancing User Growth, by Yuxiang Wei et al.
Summary of Data-driven Parametrization Of Molecular Mechanics Force Fields For Expansive Chemical Space Coverage, by Tianze Zheng et al.
Summary of Uncertainty-aware Mean Opinion Score Prediction, by Hui Wang et al.
Summary of Sambo-rl: Shifts-aware Model-based Offline Reinforcement Learning, by Wang Luo et al.
Summary of Advanced Atom-level Representations For Protein Flexibility Prediction Utilizing Graph Neural Networks, by Sina Sarparast et al.
Summary of Ai in Radiological Imaging Of Soft-tissue and Bone Tumours: a Systematic Review Evaluating Against Claim and Future-ai Guidelines, by Douwe J. Spaanderman (1) et al.
Summary of Pcgrl+: Scaling, Control and Generalization in Reinforcement Learning Level Generators, by Sam Earle et al.
Summary of Exploiting Student Parallelism For Efficient Gpu Inference Of Bert-like Models in Online Services, by Weiyan Wang et al.
Summary of Dynamics Of Meta-learning Representation in the Teacher-student Scenario, by Hui Wang et al.
Summary of Human-in-the-loop Machine Learning For Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities, by Yousef Emami et al.
Summary of Ssprop: Energy-efficient Training For Convolutional Neural Networks with Scheduled Sparse Back Propagation, by Lujia Zhong et al.
Summary of Pruning by Explaining Revisited: Optimizing Attribution Methods to Prune Cnns and Transformers, By Sayed Mohammad Vakilzadeh Hatefi et al.
Summary of Jamba-1.5: Hybrid Transformer-mamba Models at Scale, by Jamba Team: Barak Lenz et al.
Summary of A Percolation Model Of Emergence: Analyzing Transformers Trained on a Formal Language, by Ekdeep Singh Lubana et al.
Summary of Muma-tom: Multi-modal Multi-agent Theory Of Mind, by Haojun Shi et al.
Summary of Rulealign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment, by Xiaohan Wang et al.
Summary of Identifying the Best Arm in the Presence Of Global Environment Shifts, by Phurinut Srisawad et al.
Summary of Non-homophilic Graph Pre-training and Prompt Learning, by Xingtong Yu et al.
Summary of The Ai Risk Repository: a Comprehensive Meta-review, Database, and Taxonomy Of Risks From Artificial Intelligence, by Peter Slattery et al.
Summary of Joint Hypergraph Rewiring and Memory-augmented Forecasting Techniques in Digital Twin Technology, by Sagar Srinivas Sakhinana et al.
Summary of Ai-driven Transformer Model For Fault Prediction in Non-linear Dynamic Automotive System, by Priyanka Kumar
Summary of Improving Radiography Machine Learning Workflows Via Metadata Management For Training Data Selection, by Mirabel Reid et al.
Summary of Disentangled Structural and Featural Representation For Task-agnostic Graph Valuation, by Ali Falahati et al.
Summary of Fairness-aware Streaming Feature Selection with Causal Graphs, by Leizhen Zhang et al.
Summary of Deep Learning with Cnns: a Compact Holistic Tutorial with Focus on Supervised Regression (preprint), by Yansel Gonzalez Tejeda and Helmut A. Mayer
Summary of Neural-anova: Model Decomposition For Interpretable Machine Learning, by Steffen Limmer et al.
Summary of Tensoropera Router: a Multi-model Router For Efficient Llm Inference, by Dimitris Stripelis et al.
Summary of Boosting Graph Neural Network Expressivity with Learnable Lanczos Constraints, by Niloofar Azizi et al.
Summary of Distributed Quasi-newton Robust Estimation Under Differential Privacy, by Chuhan Wang et al.
Summary of Fine-tuning Smaller Language Models For Question Answering Over Financial Documents, by Karmvir Singh Phogat et al.
Summary of Robust Principal Component Analysis Via Discriminant Sample Weight Learning, by Yingzhuo Deng et al.
Summary of Cell-ontology Guided Transcriptome Foundation Model, by Xinyu Yuan et al.
Summary of Sampling Strategies Based on Wisdom Of Crowds For Amazon Deforestation Detection, by Hugo Resende et al.
Summary of Makeup-guided Facial Privacy Protection Via Untrained Neural Network Priors, by Fahad Shamshad et al.
Summary of Fredholm Integral Equations Neural Operator (fie-no) For Data-driven Boundary Value Problems, by Haoyang Jiang and Yongzhi Qu
Summary of Multi-source Knowledge-based Hybrid Neural Framework For Time Series Representation Learning, by Sagar Srinivas Sakhinana et al.
Summary of An Evaluation Of Deep Learning Models For Stock Market Trend Prediction, by Gonzalo Lopez Gil et al.
Summary of Multi-knowledge Fusion Network For Time Series Representation Learning, by Sagar Srinivas Sakhinana et al.
Summary of Alphafolding: 4d Diffusion For Dynamic Protein Structure Prediction with Reference and Motion Guidance, by Kaihui Cheng et al.
Summary of Finding Closure: a Closer Look at the Gestalt Law Of Closure in Convolutional Neural Networks, by Yuyan Zhang et al.
Summary of Wcebleedgen: a Wireless Capsule Endoscopy Dataset and Its Benchmarking For Automatic Bleeding Classification, Detection, and Segmentation, by Palak Handa et al.
Summary of Smartphone-based Eye Tracking System Using Edge Intelligence and Model Optimisation, by Nishan Gunawardena et al.
Summary of Vintern-1b: An Efficient Multimodal Large Language Model For Vietnamese, by Khang T. Doan et al.
Summary of Predicting Solar Energy Generation with Machine Learning Based on Aqi and Weather Features, by Arjun Shah et al.
Summary of Risk Analysis in Customer Relationship Management Via Quantile Region Convolutional Neural Network-long Short-term Memory and Cross-attention Mechanism, by Yaowen Huang and Jun Der Leu and Baoli Lu and Yan Zhou
Summary of Cross-border Commodity Pricing Strategy Optimization Via Mixed Neural Network For Time Series Analysis, by Lijuan Wang and Yijia Hu and Yan Zhou
Summary of Recording Brain Activity While Listening to Music Using Wearable Eeg Devices Combined with Bidirectional Long Short-term Memory Networks, by Jingyi Wang and Zhiqun Wang and Guiran Liu
Summary of Self-supervised Learning For Geospatial Ai: a Survey, by Yile Chen et al.
Summary of Domain Adaptation For Offline Reinforcement Learning with Limited Samples, by Weiqin Chen et al.
Summary of Deep Analysis Of Time Series Data For Smart Grid Startup Strategies: a Transformer-lstm-pso Model Approach, by Zecheng Zhang
Summary of Recent Advances on Machine Learning For Computational Fluid Dynamics: a Survey, by Haixin Wang et al.
Summary of How Disentangled Are Your Classification Uncertainties?, by Ivo Pascal De Jong et al.
Summary of Drexplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network, by Haoyuan Shi et al.
Summary of Transformers Are Minimax Optimal Nonparametric In-context Learners, by Juno Kim et al.
Summary of Rank and Align: Towards Effective Source-free Graph Domain Adaptation, by Junyu Luo et al.
Summary of Two-level Deep Domain Decomposition Method, by Victorita Dolean et al.
Summary of Weight Scope Alignment: a Frustratingly Easy Method For Model Merging, by Yichu Xu et al.
Summary of Llms Are Not Zero-shot Reasoners For Biomedical Information Extraction, by Aishik Nagar et al.
Summary of Toward the Evaluation Of Large Language Models Considering Score Variance Across Instruction Templates, by Yusuke Sakai et al.
Summary of Geometrical Structures Of Digital Fluctuations in Parameter Space Of Neural Networks Trained with Adaptive Momentum Optimization, by Igor V. Netay
Summary of Variance Reduction Of Diffusion Model’s Gradients with Taylor Approximation-based Control Variate, by Paul Jeha et al.