Paper List

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Summary of Neural Networks with Lstm and Gru in Modeling Active Fires in the Amazon, by Ramon Tavares and Ricardo Olinda
Summary of Decision Transformer For Enhancing Neural Local Search on the Job Shop Scheduling Problem, by Constantin Waubert De Puiseau et al.
Summary of A Data Selection Approach For Enhancing Low Resource Machine Translation Using Cross-lingual Sentence Representations, by Nidhi Kowtal et al.
Summary of A Lesion-aware Edge-based Graph Neural Network For Predicting Language Ability in Patients with Post-stroke Aphasia, by Zijian Chen et al.
Summary of Timedit: General-purpose Diffusion Transformers For Time Series Foundation Model, by Defu Cao et al.
Summary of Generative Principal Component Regression Via Variational Inference, by Austin Talbot et al.
Summary of Data-driven 2d Stationary Quantum Droplets and Wave Propagations in the Amended Gp Equation with Two Potentials Via Deep Neural Networks Learning, by Jin Song et al.
Summary of Double Machine Learning at Scale to Predict Causal Impact Of Customer Actions, by Sushant More et al.
Summary of Nudge: Lightweight Non-parametric Fine-tuning Of Embeddings For Retrieval, by Sepanta Zeighami et al.
Summary of Optimal Sampling For Least-squares Approximation, by Ben Adcock
Summary of Robust Federated Finetuning Of Foundation Models Via Alternating Minimization Of Lora, by Shuangyi Chen et al.
Summary of Understanding the Role Of Functional Diversity in Weight-ensembling with Ingredient Selection and Multidimensional Scaling, by Alex Rojas and David Alvarez-melis
Summary of Building Math Agents with Multi-turn Iterative Preference Learning, by Wei Xiong et al.
Summary of Optimal Neural Network Approximation For High-dimensional Continuous Functions, by Ayan Maiti et al.
Summary of Exploring Low-dimensional Subspaces in Diffusion Models For Controllable Image Editing, by Siyi Chen et al.
Summary of Learning Privacy-preserving Student Networks Via Discriminative-generative Distillation, by Shiming Ge et al.
Summary of Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization Through Progressive Target Evolution, by Jaouad Dabounou
Summary of Relative-translation Invariant Wasserstein Distance, by Binshuai Wang et al.
Summary of Abstractive Text Summarization: State Of the Art, Challenges, and Improvements, by Hassan Shakil et al.
Summary of Diffusion Models Learn Low-dimensional Distributions Via Subspace Clustering, by Peng Wang et al.
Summary of Adversarial Learning For Neural Pde Solvers with Sparse Data, by Yunpeng Gong et al.
Summary of Large Language Models As Efficient Reward Function Searchers For Custom-environment Multi-objective Reinforcement Learning, by Guanwen Xie et al.
Summary of Forecal: Random Forest-based Calibration For Dnns, by Dhruv Nigam
Summary of From Predictive Importance to Causality: Which Machine Learning Model Reflects Reality?, by Muhammad Arbab Arshad et al.
Summary of Enabling Trustworthy Federated Learning in Industrial Iot: Bridging the Gap Between Interpretability and Robustness, by Senthil Kumar Jagatheesaperumal et al.
Summary of Edge Ai: Evaluation Of Model Compression Techniques For Convolutional Neural Networks, by Samer Francy et al.
Summary of Optimization by Parallel Quasi-quantum Annealing with Gradient-based Sampling, By Yuma Ichikawa and Yamato Arai
Summary of A Financial Time Series Denoiser Based on Diffusion Model, by Zhuohan Wang et al.
Summary of Large Language Models Versus Classical Machine Learning: Performance in Covid-19 Mortality Prediction Using High-dimensional Tabular Data, by Mohammadreza Ghaffarzadeh-esfahani et al.
Summary of The Role Of Transformer Models in Advancing Blockchain Technology: a Systematic Survey, by Tianxu Liu et al.
Summary of Self-supervised Learning For Identifying Defects in Sewer Footage, by Daniel Otero and Rafael Mateus
Summary of Efficient and Scalable Estimation Of Tool Representations in Vector Space, by Suhong Moon et al.
Summary of A Multimodal Object-level Contrast Learning Method For Cancer Survival Risk Prediction, by Zekang Yang et al.
Summary of Brain-inspired Online Adaptation For Remote Sensing with Spiking Neural Network, by Dexin Duan et al.
Summary of Unforgettable Generalization in Language Models, by Eric Zhang et al.
Summary of Collaboratively Learning Federated Models From Noisy Decentralized Data, by Haoyuan Li et al.
Summary of Multi-agent Reinforcement Learning For Joint Police Patrol and Dispatch, by Matthew Repasky et al.
Summary of Noiseattack: An Evasive Sample-specific Multi-targeted Backdoor Attack Through White Gaussian Noise, by Abdullah Arafat Miah et al.
Summary of Mmlu-pro+: Evaluating Higher-order Reasoning and Shortcut Learning in Llms, by Saeid Asgari Taghanaki et al.
Summary of Optimal L-systems For Stochastic L-system Inference Problems, by Ali Lotfi and Ian Mcquillan
Summary of Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking For Mission-critical Applications, by Hassan El Alami and Danda B. Rawat
Summary of K-origins: Better Colour Quantification For Neural Networks, by Lewis Mason et al.
Summary of On the Benefits Of Memory For Modeling Time-dependent Pdes, by Ricardo Buitrago Ruiz et al.
Summary of Improving Electrolyte Performance For Target Cathode Loading Using Interpretable Data-driven Approach, by Vidushi Sharma et al.
Summary of Foundations Of Large Language Model Compression — Part 1: Weight Quantization, by Sean I. Young
Summary of Deep Learning For Objective Estimation Of Parkinsonian Tremor Severity, by Felipe Duque-quiceno et al.
Summary of Low-resolution Face Recognition Via Adaptable Instance-relation Distillation, by Ruixin Shi et al.
Summary of Robust Fourier Neural Networks, by Halyun Jeong et al.
Summary of Olmoe: Open Mixture-of-experts Language Models, by Niklas Muennighoff et al.
Summary of Personalized Federated Learning Via Active Sampling, by Alexander Jung and Yasmin Sarcheshmehpour and Amirhossein Mohammadi
Summary of Synthetic Data Generation and Automated Multidimensional Data Labeling For Ai/ml in General and Circular Coordinates, by Alice Williams and Boris Kovalerchuk
Summary of Robust Clustering on High-dimensional Data with Stochastic Quantization, by Anton Kozyriev et al.
Summary of Linfusion: 1 Gpu, 1 Minute, 16k Image, by Songhua Liu and Weihao Yu and Zhenxiong Tan and Xinchao Wang
Summary of Craft Your Dataset: Task-specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation, by Ingo Ziegler et al.
Summary of Toward Large-scale Spiking Neural Networks: a Comprehensive Survey and Future Directions, by Yangfan Hu et al.
Summary of Tiny-toxic-detector: a Compact Transformer-based Model For Toxic Content Detection, by Michiel Kamphuis
Summary of Tso: Self-training with Scaled Preference Optimization, by Kaihui Chen et al.
Summary of Cora: Optimizing Low-rank Adaptation with Common Subspace Of Large Language Models, by Xiaojun Xiao et al.
Summary of Deep Knowledge-infusion For Explainable Depression Detection, by Sumit Dalal et al.
Summary of Puyun: Medium-range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks, by Shengchen Zhu et al.
Summary of Trajweaver: Trajectory Recovery with State Propagation Diffusion Model, by Jinming Wang et al.
Summary of Detecting Homeomorphic 3-manifolds Via Graph Neural Networks, by Craig Lawrie et al.
Summary of The Application Of Artificial Neural Network Model to Predicting the Acid Mine Drainage From Long-term Lab Scale Kinetic Test, by Muhammad Sonny Abfertiawan et al.
Summary of Optimizing Mortality Prediction For Icu Heart Failure Patients: Leveraging Xgboost and Advanced Machine Learning with the Mimic-iii Database, by Negin Ashrafi et al.
Summary of A Sparse Pac-bayesian Approach For High-dimensional Quantile Prediction, by the Tien Mai
Summary of Interpreting Outliers in Time Series Data Through Decoding Autoencoder, by Patrick Knab et al.
Summary of Federated Prediction-powered Inference From Decentralized Data, by Ping Luo et al.
Summary of Fc-kan: Function Combinations in Kolmogorov-arnold Networks, by Hoang-thang Ta et al.
Summary of Task Weighting Through Gradient Projection For Multitask Learning, by Christian Bohn et al.
Summary of Lasp: Surveying the State-of-the-art in Large Language Model-assisted Ai Planning, by Haoming Li and Zhaoliang Chen and Jonathan Zhang and Fei Liu
Summary of When Does Visual Prompting Outperform Linear Probing For Vision-language Models? a Likelihood Perspective, by Hsi-ai Tsao et al.
Summary of Astromae: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-tuning Architecture, by Amirreza Dolatpour Fathkouhi et al.
Summary of Deep Non-parametric Logistic Model with Case-control Data and External Summary Information, by Hengchao Shi et al.
Summary of Beyond Unconstrained Features: Neural Collapse For Shallow Neural Networks with General Data, by Wanli Hong et al.
Summary of Pinnies: An Efficient Physics-informed Neural Network Framework to Integral Operator Problems, by Alireza Afzal Aghaei et al.
Summary of A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks, by Nicholas Monath et al.
Summary of Gradinn: Gradient Informed Neural Network, by Filippo Aglietti et al.
Summary of Efficient Llm Context Distillation, by Rajesh Upadhayayaya et al.
Summary of Optimizing Clip Models For Image Retrieval with Maintained Joint-embedding Alignment, by Konstantin Schall et al.
Summary of Towards Leveraging Large Language Models For Automated Medical Q&a Evaluation, by Jack Krolik et al.
Summary of Learning Machines: in Search Of a Concept Oriented Language, by Veyis Gunes
Summary of Counterfactual Fairness by Combining Factual and Counterfactual Predictions, By Zeyu Zhou et al.
Summary of Large Language Models For Anomaly and Out-of-distribution Detection: a Survey, by Ruiyao Xu et al.
Summary of Revisiting Smoe Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning, By Soumajyoti Sarkar et al.
Summary of From Data to Insights: a Covariate Analysis Of the Iarpa Briar Dataset For Multimodal Biometric Recognition Algorithms at Altitude and Range, by David S. Bolme et al.
Summary of Hybridization Of Persistent Homology with Neural Networks For Time-series Prediction: a Case Study in Wave Height, by Zixin Lin et al.
Summary of On the Design Space Between Transformers and Recursive Neural Nets, by Jishnu Ray Chowdhury et al.
Summary of Long-range Biometric Identification in Real World Scenarios: a Comprehensive Evaluation Framework Based on Missions, by Deniz Aykac et al.
Summary of Improving Robustness Of Spectrogram Classifiers with Neural Stochastic Differential Equations, by Joel Brogan et al.
Summary of Respike: Residual Frames-based Hybrid Spiking Neural Networks For Efficient Action Recognition, by Shiting Xiao et al.
Summary of Quantifying Emergence in Neural Networks: Insights From Pruning and Training Dynamics, by Faisal Alshinaifi et al.
Summary of Smoothed Robust Phase Retrieval, by Zhong Zheng and Lingzhou Xue
Summary of Buffer-based Gradient Projection For Continual Federated Learning, by Shenghong Dai et al.
Summary of Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learning, by Hongyuan Su et al.
Summary of Synthesizing Late-stage Contrast Enhancement in Breast Mri: a Comprehensive Pipeline Leveraging Temporal Contrast Enhancement Dynamics, by Ruben D. Fonnegra et al.
Summary of Data-driven Topology Design Based on Principal Component Analysis For 3d Structural Design Problems, by Jun Yang and Kentaro Yaji and Shintaro Yamasaki
Summary of Lexicographic Optimization-based Approaches to Learning a Representative Model For Multi-criteria Sorting with Non-monotonic Criteria, by Zhen Zhang et al.
Summary of Ctg-krew: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular Gan with K-means Clustering and Efficient Word Embedding, By Riya Samanta et al.
Summary of Dreaming Is All You Need, by Mingze Ni et al.
Summary of Graphons Of Line Graphs, by Sevvandi Kandanaarachchi et al.