Paper List

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Summary of Beauty Beyond Words: Explainable Beauty Product Recommendations Using Ingredient-based Product Attributes, by Siliang Liu et al.
Summary of Non-overlapping, Schwarz-type Domain Decomposition Method For Physics and Equality Constrained Artificial Neural Networks, by Qifeng Hu et al.
Summary of Oats: Outlier-aware Pruning Through Sparse and Low Rank Decomposition, by Stephen Zhang et al.
Summary of Overcoming Data Limitations in Internet Traffic Forecasting: Lstm Models with Transfer Learning and Wavelet Augmentation, by Sajal Saha et al.
Summary of Aspinn: An Asymptotic Strategy For Solving Singularly Perturbed Differential Equations, by Sen Wang and Peizhi Zhao and Tao Song
Summary of Unveiling Population Heterogeneity in Health Risks Posed by Environmental Hazards Using Regression-guided Neural Network, By Jong Woo Nam et al.
Summary of Chemdfm-x: Towards Large Multimodal Model For Chemistry, by Zihan Zhao et al.
Summary of Exploring Scaling Laws For Local Sgd in Large Language Model Training, by Qiaozhi He et al.
Summary of A Unified Causal Framework For Auditing Recommender Systems For Ethical Concerns, by Vibhhu Sharma et al.
Summary of Relationship Between Uncertainty in Dnns and Adversarial Attacks, by Mabel Ogonna et al.
Summary of Rlhfuse: Efficient Rlhf Training For Large Language Models with Inter- and Intra-stage Fusion, by Yinmin Zhong et al.
Summary of Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-labeled Noise, by Kyle Sang et al.
Summary of Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network, by Jialun Zheng et al.
Summary of Time Distributed Deep Learning Models For Purely Exogenous Forecasting. Application to Water Table Depth Prediction Using Weather Image Time Series, by Matteo Salis et al.
Summary of Omg-rl:offline Model-based Guided Reward Learning For Heparin Treatment, by Yooseok Lim et al.
Summary of Efficient Training Of Deep Neural Operator Networks Via Randomized Sampling, by Sharmila Karumuri et al.
Summary of Predicting Dna Fragmentation: a Non-destructive Analogue to Chemical Assays Using Machine Learning, by Byron a Jacobs et al.
Summary of Validity Of Feature Importance in Low-performing Machine Learning For Tabular Biomedical Data, by Youngro Lee et al.
Summary of Slava-cxr: Small Language and Vision Assistant For Chest X-ray Report Automation, by Jinge Wu et al.
Summary of Fpboost: Fully Parametric Gradient Boosting For Survival Analysis, by Alberto Archetti et al.
Summary of A Ring-based Distributed Algorithm For Learning High-dimensional Bayesian Networks, by Jorge D. Laborda et al.
Summary of Alpec: a Comprehensive Evaluation Framework and Dataset For Machine Learning-based Arousal Detection in Clinical Practice, by Stefan Kraft et al.
Summary of Credit Card Fraud Detection: a Deep Learning Approach, by Sourav Verma et al.
Summary of Tace: Tumor-aware Counterfactual Explanations, by Eleonora Beatrice Rossi et al.
Summary of Towards Unbiased Evaluation Of Time-series Anomaly Detector, by Debarpan Bhattacharya and Sumanta Mukherjee and Chandramouli Kamanchi and Vijay Ekambaram and Arindam Jati and Pankaj Dayama
Summary of Llm Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models, by Akshaj Kumar Veldanda et al.
Summary of Comprehensive Overview Of Artificial Intelligence Applications in Modern Industries, by Yijie Weng et al.
Summary of Improved Image Classification with Manifold Neural Networks, by Caio F. Deberaldini Netto et al.
Summary of What Does Guidance Do? a Fine-grained Analysis in a Simple Setting, by Muthu Chidambaram et al.
Summary of Embedding Geometries Of Contrastive Language-image Pre-training, by Jason Chuan-chih Chou et al.
Summary of Personalized Speech Recognition For Children with Test-time Adaptation, by Zhonghao Shi et al.
Summary of Eric: Estimating Rainfall with Commodity Doorbell Camera For Precision Residential Irrigation, by Tian Liu et al.
Summary of Corbin-fl: a Differentially Private Federated Learning Mechanism Using Common Randomness, by Hojat Allah Salehi et al.
Summary of Learning to Compare Hardware Designs For High-level Synthesis, by Yunsheng Bai et al.
Summary of Federated Learning with Label-masking Distillation, by Jianghu Lu and Shikun Li and Kexin Bao and Pengju Wang and Zhenxing Qian and Shiming Ge
Summary of Score-based Multibeam Point Cloud Denoising, by Li Ling et al.
Summary of Convergence Of Distributed Adaptive Optimization with Local Updates, by Ziheng Cheng et al.
Summary of Hidden Activations Are Not Enough: a General Approach to Neural Network Predictions, by Samuel Leblanc et al.
Summary of Rpaf: a Reinforcement Prediction-allocation Framework For Cache Allocation in Large-scale Recommender Systems, by Shuo Su et al.
Summary of An Adaptive End-to-end Iot Security Framework Using Explainable Ai and Llms, by Sudipto Baral et al.
Summary of Bilateral Sharpness-aware Minimization For Flatter Minima, by Jiaxin Deng et al.
Summary of Convlstmtransnet: a Hybrid Deep Learning Approach For Internet Traffic Telemetry, by Sajal Saha et al.
Summary of Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management, by Lai Wei et al.
Summary of How the (tensor-) Brain Uses Embeddings and Embodiment to Encode Senses and Symbols, by Volker Tresp and Hang Li
Summary of Enhancing E-commerce Product Title Translation with Retrieval-augmented Generation and Large Language Models, by Bryan Zhang et al.
Summary of Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization, by Mohammad Samragh et al.
Summary of Evaluating Defences Against Unsafe Feedback in Rlhf, by Domenic Rosati et al.
Summary of Universal Approximation Theorem For Neural Networks with Inputs From a Topological Vector Space, by Vugar Ismailov
Summary of Training Language Models to Self-correct Via Reinforcement Learning, by Aviral Kumar et al.
Summary of Revisiting Semi-supervised Adversarial Robustness Via Noise-aware Online Robust Distillation, by Tsung-han Wu et al.
Summary of Unrolled Denoising Networks Provably Learn Optimal Bayesian Inference, by Aayush Karan et al.
Summary of Geometric Interpretation Of Layer Normalization and a Comparative Analysis with Rmsnorm, by Akshat Gupta et al.
Summary of The Gaussian Discriminant Variational Autoencoder (gdvae): a Self-explainable Model with Counterfactual Explanations, by Anselm Haselhoff et al.
Summary of Interpolating Video-llms: Toward Longer-sequence Lmms in a Training-free Manner, by Yuzhang Shang et al.
Summary of Surveying You Only Look Once (yolo) Multispectral Object Detection Advancements, Applications and Challenges, by James E. Gallagher et al.
Summary of Semantic Meta-split Learning: a Tinyml Scheme For Few-shot Wireless Image Classification, by Eslam Eldeeb et al.
Summary of Improving Generalisability Of 3d Binding Affinity Models in Low Data Regimes, by Julia Buhmann et al.
Summary of Pyrtklib: An Open-source Package For Tightly Coupled Deep Learning and Gnss Integration For Positioning in Urban Canyons, by Runzhi Hu et al.
Summary of Introducing the Large Medical Model: State Of the Art Healthcare Cost and Risk Prediction with Transformers Trained on Patient Event Sequences, by Ricky Sahu et al.
Summary of Vcat: Vulnerability-aware and Curiosity-driven Adversarial Training For Enhancing Autonomous Vehicle Robustness, by Xuan Cai et al.
Summary of Data Poisoning and Leakage Analysis in Federated Learning, by Wenqi Wei et al.
Summary of Icost: a Novel Instance Complexity Based Cost-sensitive Learning Framework, by Asif Newaz et al.
Summary of Taco-rl: Task Aware Prompt Compression Optimization with Reinforcement Learning, by Shivam Shandilya et al.
Summary of Scaling Fp8 Training to Trillion-token Llms, by Maxim Fishman et al.
Summary of Test-time Augmentation Meets Variational Bayes, by Masanari Kimura and Howard Bondell
Summary of Hybrid Ensemble Deep Graph Temporal Clustering For Spatiotemporal Data, by Francis Ndikum Nji et al.
Summary of Cf-go-net: a Universal Distribution Learner Via Characteristic Function Networks with Graph Optimizers, by Zeyang Yu et al.
Summary of Green Federated Learning: a New Era Of Green Aware Ai, by Dipanwita Thakur et al.
Summary of Iteration Of Thought: Leveraging Inner Dialogue For Autonomous Large Language Model Reasoning, by Santosh Kumar Radha et al.
Summary of Michelangelo: Long Context Evaluations Beyond Haystacks Via Latent Structure Queries, by Kiran Vodrahalli et al.
Summary of Counterfactual Explanations For Clustering Models, by Aurora Spagnol et al.
Summary of Image Inpainting For Corrupted Images by Using the Semi-super Resolution Gan, By Mehrshad Momen-tayefeh et al.
Summary of Deep Generative Models As An Adversarial Attack Strategy For Tabular Machine Learning, by Salijona Dyrmishi et al.
Summary of (un)certainty Of (un)fairness: Preference-based Selection Of Certainly Fair Decision-makers, by Manh Khoi Duong et al.
Summary of Generation and Editing Of Mandrill Faces: Application to Sex Editing and Assessment, by Nicolas M. Dibot et al.
Summary of Optimal or Greedy Decision Trees? Revisiting Their Objectives, Tuning, and Performance, by Jacobus G. M. Van Der Linden et al.
Summary of The Robustness Of Spiking Neural Networks in Communication and Its Application Towards Network Efficiency in Federated Learning, by Manh V. Nguyen et al.
Summary of Efficient Identification Of Direct Causal Parents Via Invariance and Minimum Error Testing, by Minh Nguyen et al.
Summary of Assessing the Zero-shot Capabilities Of Llms For Action Evaluation in Rl, by Eduardo Pignatelli et al.
Summary of The Central Role Of the Loss Function in Reinforcement Learning, by Kaiwen Wang et al.
Summary of Robust Estimation Of the Intrinsic Dimension Of Data Sets with Quantum Cognition Machine Learning, by Luca Candelori et al.
Summary of Hierarchical Gradient-based Genetic Sampling For Accurate Prediction Of Biological Oscillations, by Heng Rao et al.
Summary of A Margin-maximizing Fine-grained Ensemble Method, by Jinghui Yuan et al.
Summary of Bridging the Gap Between Approximation and Learning Via Optimal Approximation by Relu Mlps Of Maximal Regularity, By Ruiyang Hong et al.
Summary of Extracting Memorized Training Data Via Decomposition, by Ellen Su et al.
Summary of Splitvaes: Decentralized Scenario Generation From Siloed Data For Stochastic Optimization Problems, by H M Mohaimanul Islam et al.
Summary of Communication-efficient Federated Low-rank Update Algorithm and Its Connection to Implicit Regularization, by Haemin Park et al.
Summary of Prediction Of Brent Crude Oil Price Based on Lstm Model Under the Background Of Low-carbon Transition, by Yuwen Zhao et al.
Summary of Privacy-preserving Student Learning with Differentially Private Data-free Distillation, by Bochao Liu and Jianghu Lu and Pengju Wang and Junjie Zhang and Dan Zeng and Zhenxing Qian and Shiming Ge
Summary of Selecting a Classification Performance Measure: Matching the Measure to the Problem, by David J. Hand et al.
Summary of Look Through Masks: Towards Masked Face Recognition with De-occlusion Distillation, by Chenyu Li and Shiming Ge and Daichi Zhang and Jia Li
Summary of Lmt-net: Lane Model Transformer Network For Automated Hd Mapping From Sparse Vehicle Observations, by Michael Mink et al.
Summary of How to Predict On-road Air Pollution Based on Street View Images and Machine Learning: a Quantitative Analysis Of the Optimal Strategy, by Hui Zhong et al.
Summary of Zero-to-strong Generalization: Eliciting Strong Capabilities Of Large Language Models Iteratively Without Gold Labels, by Chaoqun Liu et al.
Summary of Is It Still Fair? a Comparative Evaluation Of Fairness Algorithms Through the Lens Of Covariate Drift, by Oscar Blessed Deho et al.
Summary of Enhancing Logical Reasoning in Large Language Models Through Graph-based Synthetic Data, by Jiaming Zhou et al.
Summary of Neural Networks Generalize on Low Complexity Data, by Sourav Chatterjee et al.
Summary of Fome: a Foundation Model For Eeg Using Adaptive Temporal-lateral Attention Scaling, by Enze Shi et al.
Summary of Surgplan++: Universal Surgical Phase Localization Network For Online and Offline Inference, by Zhen Chen et al.
Summary of Learning Multi-manifold Embedding For Out-of-distribution Detection, by Jeng-lin Li et al.