Paper List

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Summary of Linear Discriminant Analysis in Credit Scoring: a Transparent Hybrid Model Approach, by Md Shihab Reza et al.
Summary of Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning, by Zeki Doruk Erden et al.
Summary of Physics-informed Deep Learning For Muscle Force Prediction with Unlabeled Semg Signals, by Shuhao Ma et al.
Summary of Hypermarl: Adaptive Hypernetworks For Multi-agent Rl, by Kale-ab Abebe Tessera et al.
Summary of Lmdm:latent Molecular Diffusion Model For 3d Molecule Generation, by Xiang Chen
Summary of Quantifying the Limits Of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-like and Low-contrast Objects, by Yixin Zhang et al.
Summary of Synfintabs: a Dataset Of Synthetic Financial Tables For Information and Table Extraction, by Ethan Bradley et al.
Summary of Misr: Measuring Instrumental Self-reasoning in Frontier Models, by Kai Fronsdal and David Lindner
Summary of Final-model-only Data Attribution with a Unifying View Of Gradient-based Methods, by Dennis Wei et al.
Summary of Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data, by Binbin Hu et al.
Summary of Can Targeted Clean-label Poisoning Attacks Generalize?, by Zhizhen Chen et al.
Summary of Quantized and Interpretable Learning Scheme For Deep Neural Networks in Classification Task, by Alireza Maleki et al.
Summary of Megacoin: Enhancing Medium-grained Color Perception For Vision-language Models, by Ming-chang Chiu et al.
Summary of Mt3dnet: Multi-task Learning Network For 3d Surgical Scene Reconstruction, by Mithun Parab et al.
Summary of Exploring Ai Text Generation, Retrieval-augmented Generation, and Detection Technologies: a Comprehensive Overview, by Fnu Neha et al.
Summary of Janus: a Difference-oriented Analyzer For Financial Centralization Risks in Smart Contracts, by Wansen Wang et al.
Summary of Befl: Balancing Energy Consumption in Federated Learning For Mobile Edge Iot, by Zehao Ju and Tongquan Wei and Fuke Shen
Summary of Electronic Health Records-based Data-driven Diabetes Knowledge Unveiling and Risk Prognosis, by Huadong Pang et al.
Summary of Local Curvature Smoothing with Stein’s Identity For Efficient Score Matching, by Genki Osada et al.
Summary of Blind Underwater Image Restoration Using Co-operational Regressor Networks, by Ozer Can Devecioglu et al.
Summary of Dynamic Graph Representation with Contrastive Learning For Financial Market Prediction: Integrating Temporal Evolution and Static Relations, by Yunhua Pei et al.
Summary of Ai4ef: Artificial Intelligence For Energy Efficiency in the Building Sector, by Alexandros Menelaos Tzortzis et al.
Summary of Pathwise Optimization For Bridge-type Estimators and Its Applications, by Alessandro De Gregorio et al.
Summary of Graph Neural Networks Need Cluster-normalize-activate Modules, by Arseny Skryagin et al.
Summary of Boundary-guided Learning For Gene Expression Prediction in Spatial Transcriptomics, by Mingcheng Qu et al.
Summary of Space to Policy: Scalable Brick Kiln Detection and Automatic Compliance Monitoring with Geospatial Data, by Zeel B Patel et al.
Summary of Distance-adaptive Quaternion Knowledge Graph Embedding with Bidirectional Rotation, by Weihua Wang and Qiuyu Liang and Feilong Bao and Guanglai Gao
Summary of Deep Variational Bayesian Modeling Of Haze Degradation Process, by Eun Woo Im et al.
Summary of Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning, by Yiran Wang et al.
Summary of Learning Networks From Wide-sense Stationary Stochastic Processes, by Anirudh Rayas et al.
Summary of Withdrarxiv: a Large-scale Dataset For Retraction Study, by Delip Rao et al.
Summary of Community Detection with Heterogeneous Block Covariance Model, by Xiang Li et al.
Summary of Modular Addition Without Black-boxes: Compressing Explanations Of Mlps That Compute Numerical Integration, by Chun Hei Yip et al.
Summary of Expressivity Of Representation Learning on Continuous-time Dynamic Graphs: An Information-flow Centric Review, by Sofiane Ennadir et al.
Summary of The Broader Spectrum Of In-context Learning, by Andrew Kyle Lampinen et al.
Summary of Coordinate in and Value Out: Training Flow Transformers in Ambient Space, by Yuyang Wang et al.
Summary of Element: Episodic and Lifelong Exploration Via Maximum Entropy, by Hongming Li et al.
Summary of Residual Hyperbolic Graph Convolution Networks, by Yangkai Xue et al.
Summary of A Large Language Model-type Architecture For High-dimensional Molecular Potential Energy Surfaces, by Xiao Zhu et al.
Summary of Training Mlps on Graphs Without Supervision, by Zehong Wang et al.
Summary of What Do Machine Learning Researchers Mean by “reproducible”?, By Edward Raff et al.
Summary of Gp-fl: Model-based Hessian Estimation For Second-order Over-the-air Federated Learning, by Shayan Mohajer Hamidi et al.
Summary of Transferring Self-supervised Pre-trained Models For Shm Data Anomaly Detection with Scarce Labeled Data, by Mingyuan Zhou et al.
Summary of Weak-to-strong Generalization Through the Data-centric Lens, by Changho Shin et al.
Summary of Machine Learning-based Android Intrusion Detection System, by Madiha Tahreem et al.
Summary of A Noise Is Worth Diffusion Guidance, by Donghoon Ahn et al.
Summary of Multisource Collaborative Domain Generalization For Cross-scene Remote Sensing Image Classification, by Zhu Han et al.
Summary of Covidllm: a Robust Large Language Model with Missing Value Adaptation and Multi-objective Learning Strategy For Predicting Disease Severity and Clinical Outcomes in Covid-19 Patients, by Shengjun Zhu (1) et al.
Summary of Batchllm: Optimizing Large Batched Llm Inference with Global Prefix Sharing and Throughput-oriented Token Batching, by Zhen Zheng et al.
Summary of The Vulnerability Of Language Model Benchmarks: Do They Accurately Reflect True Llm Performance?, by Sourav Banerjee et al.
Summary of Online Physics-informed Dynamic Mode Decomposition: Theory and Applications, by Biqi Chen and Ying Wang
Summary of Learning-based Sketches For Frequency Estimation in Data Streams Without Ground Truth, by Xinyu Yuan and Yan Qiao and Meng Li and Zhenchun Wei and Cuiying Feng
Summary of Cptquant – a Novel Mixed Precision Post-training Quantization Techniques For Large Language Models, by Amitash Nanda et al.
Summary of How to Correctly Do Semantic Backpropagation on Language-based Agentic Systems, by Wenyi Wang et al.
Summary of Hyperparameter Tuning Through Pessimistic Bilevel Optimization, by Meltem Apaydin Ustun et al.
Summary of Tight Lower Bounds and Improved Convergence in Performative Prediction, by Pedram Khorsandi et al.
Summary of Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights Into Model Transferability, by Chi Zhang (1) et al.
Summary of Good Practices For Evaluation Of Machine Learning Systems, by Luciana Ferrer et al.
Summary of Interpretable Hierarchical Attention Network For Medical Condition Identification, by Dongping Fang et al.
Summary of Asymptotics Of Linear Regression with Linearly Dependent Data, by Behrad Moniri and Hamed Hassani
Summary of Fairness Without Demographics Through Learning Graph Of Gradients, by Yingtao Luo et al.
Summary of Scaling Inference-time Search with Vision Value Model For Improved Visual Comprehension, by Xiyao Wang et al.
Summary of Pathletrl++: Optimizing Trajectory Pathlet Extraction and Dictionary Formation Via Reinforcement Learning, by Gian Alix et al.
Summary of A Water Efficiency Dataset For African Data Centers, by Noah Shumba et al.
Summary of Electrocardiogram-based Diagnosis Of Liver Diseases: An Externally Validated and Explainable Machine Learning Approach, by Juan Miguel Lopez Alcaraz et al.
Summary of Online Experimental Design with Estimation-regret Trade-off Under Network Interference, by Zhiheng Zhang et al.
Summary of Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients From Mimic-iii Database, by Aleyeh Roknaldin et al.
Summary of Pbp: Post-training Backdoor Purification For Malware Classifiers, by Dung Thuy Nguyen et al.
Summary of Cluster Specific Representation Learning, by Mahalakshmi Sabanayagam and Omar Al-dabooni and Pascal Esser
Summary of State Frequency Estimation For Anomaly Detection, by Clinton Cao and Agathe Blaise and Annibale Panichella and Sicco Verwer
Summary of Tight Pac-bayesian Risk Certificates For Contrastive Learning, by Anna Van Elst et al.
Summary of Convolutional Neural Networks and Mixture Of Experts For Intrusion Detection in 5g Networks and Beyond, by Loukas Ilias et al.
Summary of Beyond Algorithm Hyperparameters: on Preprocessing Hyperparameters and Associated Pitfalls in Machine Learning Applications, by Christina Sauer et al.
Summary of Flow Matching with General Discrete Paths: a Kinetic-optimal Perspective, by Neta Shaul et al.
Summary of Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations, by Casey Lauer et al.
Summary of A Bidirectional Siamese Recurrent Neural Network For Accurate Gait Recognition Using Body Landmarks, by Proma Hossain Progga et al.
Summary of Self-test Loss Functions For Learning Weak-form Operators and Gradient Flows, by Yuan Gao et al.
Summary of Enhancing Clip Conceptual Embedding Through Knowledge Distillation, by Kuei-chun Kao
Summary of A Review on Scientific Knowledge Extraction Using Large Language Models in Biomedical Sciences, by Gabriel Lino Garcia et al.
Summary of Fanal — Financial Activity News Alerting Language Modeling Framework, by Urjitkumar Patel et al.
Summary of Node-advgan: Improving the Transferability and Perceptual Similarity Of Adversarial Examples by Dynamic-system-driven Adversarial Generative Model, By Xinheng Xie et al.
Summary of Evaluating Gender Bias Transfer Between Pre-trained and Prompt-adapted Language Models, by Natalie Mackraz et al.
Summary of Perception Tokens Enhance Visual Reasoning in Multimodal Language Models, by Mahtab Bigverdi et al.
Summary of Best-of-n Jailbreaking, by John Hughes et al.
Summary of Navigation World Models, by Amir Bar et al.
Summary of Reinforced Symbolic Learning with Logical Constraints For Predicting Turbine Blade Fatigue Life, by Pei Li et al.
Summary of Not All Adapters Matter: Selective Adapter Freezing For Memory-efficient Fine-tuning Of Language Models, by Hyegang Son et al.
Summary of Generalized Diffusion Model with Adjusted Offset Noise, by Takuro Kutsuna
Summary of Unifying Kv Cache Compression For Large Language Models with Leankv, by Yanqi Zhang et al.
Summary of Testing Neural Network Verifiers: a Soundness Benchmark with Hidden Counterexamples, by Xingjian Zhou et al.
Summary of Towards Understanding and Quantifying Uncertainty For Text-to-image Generation, by Gianni Franchi et al.
Summary of Clusterkv: Manipulating Llm Kv Cache in Semantic Space For Recallable Compression, by Guangda Liu et al.
Summary of Node Classification with Integrated Reject Option, by Uday Bhaskar et al.
Summary of Semi-supervised Transfer Boosting (ss-trboosting), by Lingfei Deng et al.
Summary of Survey Of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges, by Minghao Shao et al.
Summary of Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning, by Mianchu Wang et al.
Summary of Nonparametric Filtering, Estimation and Classification Using Neural Jump Odes, by Jakob Heiss et al.
Summary of Path-guided Particle-based Sampling, by Mingzhou Fan et al.
Summary of Scalable Bayesian Tensor Ring Factorization For Multiway Data Analysis, by Zerui Tao et al.
Summary of Flashattention on a Napkin: a Diagrammatic Approach to Deep Learning Io-awareness, by Vincent Abbott et al.