Paper List

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Summary of Partially Observable Contextual Bandits with Linear Payoffs, by Sihan Zeng et al.
Summary of Fedne: Surrogate-assisted Federated Neighbor Embedding For Dimensionality Reduction, by Ziwei Li et al.
Summary of Unlocking Nace Classification Embeddings with Openai For Enhanced Analysis and Processing, by Andrea Vidali et al.
Summary of Oneencoder: a Lightweight Framework For Progressive Alignment Of Modalities, by Bilal Faye et al.
Summary of A Reinforcement Learning Environment For Automatic Code Optimization in the Mlir Compiler, by Nazim Bendib et al.
Summary of A Hybrid Multi-factor Network with Dynamic Sequence Modeling For Early Warning Of Intraoperative Hypotension, by Mingyue Cheng and Jintao Zhang and Zhiding Liu and Chunli Liu and Yanhu Xie
Summary of Monokan: Certified Monotonic Kolmogorov-arnold Network, by Alejandro Polo-molina et al.
Summary of Improve Machine Learning Carbon Footprint Using Parquet Dataset Format and Mixed Precision Training For Regression Models — Part Ii, by Andrew Antonopoulos
Summary of Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach, by Debarpan Bhattacharya et al.
Summary of Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study, by Nikolai Merkel et al.
Summary of Learning Generalized Hamiltonians Using Fully Symplectic Mappings, by Harsh Choudhary et al.
Summary of Scale Generalisation Properties Of Extended Scale-covariant and Scale-invariant Gaussian Derivative Networks on Image Datasets with Spatial Scaling Variations, by Andrzej Perzanowski and Tony Lindeberg
Summary of Lasers: Latent Space Encoding For Representations with Sparsity For Generative Modeling, by Xin Li et al.
Summary of Score Forgetting Distillation: a Swift, Data-free Method For Machine Unlearning in Diffusion Models, by Tianqi Chen et al.
Summary of Deep Learning Tools to Support Deforestation Monitoring in the Ivory Coast Using Sar and Optical Satellite Imagery, by Gabriele Sartor et al.
Summary of Cost-informed Dimensionality Reduction For Structural Digital Twin Technologies, by Aidan J. Hughes et al.
Summary of Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis, by Yipeng Liang et al.
Summary of Spontaneous Informal Speech Dataset For Punctuation Restoration, by Xing Yi Liu and Homayoon Beigi
Summary of Geometry Aware Meta-learning Neural Network For Joint Phase and Precoder Optimization in Ris, by Dahlia Devapriya and Sheetal Kalyani
Summary of Lola — An Open-source Massively Multilingual Large Language Model, by Nikit Srivastava et al.
Summary of Leveraging Distillation Techniques For Document Understanding: a Case Study with Flan-t5, by Marcel Lamott et al.
Summary of Beyond Lora: Exploring Efficient Fine-tuning Techniques For Time Series Foundational Models, by Divij Gupta et al.
Summary of Learning Unstable Continuous-time Stochastic Linear Control Systems, by Reza Sadeghi Hafshejani et al.
Summary of Physics-informed Neural Networks with Trust-region Sequential Quadratic Programming, by Xiaoran Cheng et al.
Summary of Quantum Machine Learning For Semiconductor Fabrication: Modeling Gan Hemt Contact Process, by Zeheng Wang et al.
Summary of 3dfacepolicy: Speech-driven 3d Facial Animation with Diffusion Policy, by Xuanmeng Sha et al.
Summary of Bad: Bidirectional Auto-regressive Diffusion For Text-to-motion Generation, by S. Rohollah Hosseyni et al.
Summary of Implicit Reasoning in Deep Time Series Forecasting, by Willa Potosnak et al.
Summary of Machine Learning For Public Good: Predicting Urban Crime Patterns to Enhance Community Safety, by Sia Gupta et al.
Summary of Dynamic Range Reduction Via Branch-and-bound, by Thore Gerlach et al.
Summary of Adaptive Large Language Models by Layerwise Attention Shortcuts, By Prateek Verma et al.
Summary of Autospec: Automated Generation Of Neural Network Specifications, by Shuowei Jin et al.
Summary of Llms & Xai For Water Sustainability: Seasonal Water Quality Prediction with Lime Explainable Ai and a Rag-based Chatbot For Insights, by Biplov Paneru et al.
Summary of A Physics Informed Neural Network (pinn) Methodology For Coupled Moving Boundary Pdes, by Shivprasad Kathane and Shyamprasad Karagadde (indian Institute Of Technology Bombay Mumbai India)
Summary of Optimizing Tinyml: the Impact Of Reduced Data Acquisition Rates For Time Series Classification on Microcontrollers, by Riya Samanta et al.
Summary of Early Detection Of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach, by Mehroush Banday et al.
Summary of Contrasformer: a Brain Network Contrastive Transformer For Neurodegenerative Condition Identification, by Jiaxing Xu et al.
Summary of Fair Anomaly Detection For Imbalanced Groups, by Ziwei Wu and Lecheng Zheng and Yuancheng Yu and Ruizhong Qiu and John Birge and Jingrui He
Summary of Cross-lingual Transfer Of Multilingual Models on Low Resource African Languages, by Harish Thangaraj et al.
Summary of Towards Gaussian Process For Operator Learning: An Uncertainty Aware Resolution Independent Operator Learning Algorithm For Computational Mechanics, by Sawan Kumar and Rajdip Nayek and Souvik Chakraborty
Summary of Gintrip: Interpretable Temporal Graph Regression Using Information Bottleneck and Prototype-based Method, by Ali Royat et al.
Summary of D2vformer: a Flexible Time Series Prediction Model Based on Time Position Embedding, by Xiaobao Song et al.
Summary of Latent Mixed-effect Models For High-dimensional Longitudinal Data, by Priscilla Ong et al.
Summary of Protecting Copyright Of Medical Pre-trained Language Models: Training-free Backdoor Watermarking, by Cong Kong et al.
Summary of A Clustering Adaptive Gaussian Process Regression Method: Response Patterns Based Real-time Prediction For Nonlinear Solid Mechanics Problems, by Ming-jian Li et al.
Summary of Language Models and Retrieval Augmented Generation For Automated Structured Data Extraction From Diagnostic Reports, by Mohamed Sobhi Jabal et al.
Summary of Reinforcement Learning with Quasi-hyperbolic Discounting, by S.r. Eshwar et al.
Summary of Veridical Data Science For Medical Foundation Models, by Ahmed Alaa et al.
Summary of Motion Forecasting Via Model-based Risk Minimization, by Aron Distelzweig et al.
Summary of Cskv: Training-efficient Channel Shrinking For Kv Cache in Long-context Scenarios, by Luning Wang et al.
Summary of Offline Reinforcement Learning For Learning to Dispatch For Job Shop Scheduling, by Jesse Van Remmerden et al.
Summary of Kolmogorov-arnold Transformer, by Xingyi Yang et al.
Summary of Exploring Fine-tuned Generative Models For Keyphrase Selection: a Case Study For Russian, by Anna Glazkova and Dmitry Morozov
Summary of A Bayesian Interpretation Of Adaptive Low-rank Adaptation, by Haolin Chen et al.
Summary of Logic Synthesis Optimization with Predictive Self-supervision Via Causal Transformers, by Raika Karimi et al.
Summary of Mitigating Sex Bias in Audio Data-driven Copd and Covid-19 Breathing Pattern Detection Models, by Rachel Pfeifer et al.
Summary of Toward Mitigating Sex Bias in Pilot Trainees’ Stress and Fatigue Modeling, by Rachel Pfeifer et al.
Summary of Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers, by Xiaoyu Wang et al.
Summary of On the Effects Of Similarity Metrics in Decentralized Deep Learning Under Distributional Shift, by Edvin Listo Zec et al.
Summary of Online Learning Via Memory: Retrieval-augmented Detector Adaptation, by Yanan Jian et al.
Summary of Federated Learning For Smart Grid: a Survey on Applications and Potential Vulnerabilities, by Zikai Zhang et al.
Summary of Provably Efficient Infinite-horizon Average-reward Reinforcement Learning with Linear Function Approximation, by Woojin Chae et al.
Summary of Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?, by Kaleb Kassaw et al.
Summary of Efficient Milling Quality Prediction with Explainable Machine Learning, by Dennis Gross et al.
Summary of Safety-oriented Pruning and Interpretation Of Reinforcement Learning Policies, by Dennis Gross and Helge Spieker
Summary of Hedging Is Not All You Need: a Simple Baseline For Online Learning Under Haphazard Inputs, by Himanshu Buckchash et al.
Summary of Hierarchical Graph Pooling Based on Minimum Description Length, by Jan Von Pichowski et al.
Summary of Bafnet: Bilateral Attention Fusion Network For Lightweight Semantic Segmentation Of Urban Remote Sensing Images, by Wentao Wang and Xili Wang
Summary of Reflectdiffu:reflect Between Emotion-intent Contagion and Mimicry For Empathetic Response Generation Via a Rl-diffusion Framework, by Jiahao Yuan et al.
Summary of Spiers Memorial Lecture: How to Do Impactful Research in Artificial Intelligence For Chemistry and Materials Science, by Austin Cheng et al.
Summary of Hyperedge Modeling in Hypergraph Neural Networks by Using Densest Overlapping Subgraphs, By Mehrad Soltani et al.
Summary of Uncovering the Mechanism Of Hepatotoxiciy Of Pfas Targeting L-fabp Using Gcn and Computational Modeling, by Lucas Jividen et al.
Summary of Kolmogorov-arnold Networks in Low-data Regimes: a Comparative Study with Multilayer Perceptrons, by Farhad Pourkamali-anaraki
Summary of Signed Graph Autoencoder For Explainable and Polarization-aware Network Embeddings, by Nikolaos Nakis et al.
Summary of Revising the Structure Of Recurrent Neural Networks to Eliminate Numerical Derivatives in Forming Physics Informed Loss Terms with Respect to Time, by Mahyar Jahani-nasab et al.
Summary of Flash Stu: Fast Spectral Transform Units, by Y. Isabel Liu and Windsor Nguyen and Yagiz Devre and Evan Dogariu and Anirudha Majumdar and Elad Hazan
Summary of Partial Distribution Matching Via Partial Wasserstein Adversarial Networks, by Zi-ming Wang et al.
Summary of Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles, by Kulin Shah et al.
Summary of Retrievalattention: Accelerating Long-context Llm Inference Via Vector Retrieval, by Di Liu et al.
Summary of Fairness in Survival Analysis with Distributionally Robust Optimization, by Shu Hu et al.
Summary of Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers, by Siyu Chen et al.
Summary of Eureka: Evaluating and Understanding Large Foundation Models, by Vidhisha Balachandran et al.
Summary of Asft: Aligned Supervised Fine-tuning Through Absolute Likelihood, by Ruoyu Wang et al.
Summary of From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famine, by Salloni Kapoor and Simeon Sayer
Summary of Convergence Of Sharpness-aware Minimization Algorithms Using Increasing Batch Size and Decaying Learning Rate, by Hinata Harada and Hideaki Iiduka
Summary of Shire: Enhancing Sample Efficiency Using Human Intuition in Reinforcement Learning, by Amogh Joshi et al.
Summary of On the Diagram Of Thought, by Yifan Zhang et al.
Summary of Learning Latent Wireless Dynamics From Channel State Information, by Charbel Bou Chaaya et al.
Summary of Benchmarking Large Language Model Uncertainty For Prompt Optimization, by Pei-fu Guo et al.
Summary of Global Lightning-ignited Wildfires Prediction and Climate Change Projections Based on Explainable Machine Learning Models, by Assaf Shmuel et al.
Summary of Spatiotemporal Covariance Neural Networks, by Andrea Cavallo et al.
Summary of Enhancing Anomaly Detection Via Generating Diversified and Hard-to-distinguish Synthetic Anomalies, by Hyuntae Kim et al.
Summary of Steinmetz Neural Networks For Complex-valued Data, by Shyam Venkatasubramanian et al.
Summary of A Riemannian Approach to Ground Metric Learning For Optimal Transport, by Pratik Jawanpuria et al.
Summary of Beyond Perceptual Distances: Rethinking Disparity Assessment For Out-of-distribution Detection with Diffusion Models, by Kun Fang et al.
Summary of Robust Reinforcement Learning with Dynamic Distortion Risk Measures, by Anthony Coache et al.
Summary of Evaluating the Efficacy Of Instance Incremental Vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming For Fraud Detection, by Kodjo Mawuena Amekoe et al.
Summary of A Comparative Study Of Open Source Computer Vision Models For Application on Small Data: the Case Of Cfrp Tape Laying, by Thomas Fraunholz et al.
Summary of Aalf: Almost Always Linear Forecasting, by Matthias Jakobs et al.
Summary of Quantile Regression For Distributional Reward Models in Rlhf, by Nicolai Dorka