Paper List

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Summary of A Principled Approach For a New Bias Measure, by Bruno Scarone et al.
Summary of Kernel Spectral Joint Embeddings For High-dimensional Noisy Datasets Using Duo-landmark Integral Operators, by Xiucai Ding and Rong Ma
Summary of Dynamic Line Rating Using Hyper-local Weather Predictions: a Machine Learning Approach, by Henri Manninen et al.
Summary of Cascade-based Randomization For Inferring Causal Effects Under Diffusion Interference, by Zahra Fatemi et al.
Summary of Chasing Comet: Leveraging Minimum Bayes Risk Decoding For Self-improving Machine Translation, by Kamil Guttmann et al.
Summary of Distinguished in Uniform: Self Attention Vs. Virtual Nodes, by Eran Rosenbluth et al.
Summary of Wispermed at Biolaysumm: Adapting Autoregressive Large Language Models For Lay Summarization Of Scientific Articles, by Tabea M. G. Pakull et al.
Summary of Exploring Commonalities in Explanation Frameworks: a Multi-domain Survey Analysis, by Eduard Barbu et al.
Summary of Conditional Shift-robust Conformal Prediction For Graph Neural Network, by S. Akansha
Summary of Scrutinize What We Ignore: Reining in Task Representation Shift Of Context-based Offline Meta Reinforcement Learning, by Hai Zhang et al.
Summary of Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space, by Qianmei Liu and Yufei Kuang and Jie Wang
Summary of Adaptive Convolutional Forecasting Network Based on Time Series Feature-driven, by Dandan Zhang et al.
Summary of Energy-efficient Federated Edge Learning with Streaming Data: a Lyapunov Optimization Approach, by Chung-hsuan Hu et al.
Summary of Channel Balance Interpolation in the Lightning Network Via Machine Learning, by Vincent et al.
Summary of Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?, by Yang Dai et al.
Summary of Pate: Proximity-aware Time Series Anomaly Evaluation, by Ramin Ghorbani et al.
Summary of An Active Learning Framework with a Class Balancing Strategy For Time Series Classification, by Shemonto Das
Summary of Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-learning Models, by Nida Nasir et al.
Summary of Mora: High-rank Updating For Parameter-efficient Fine-tuning, by Ting Jiang et al.
Summary of Bangladeshi Native Vehicle Detection in Wild, by Bipin Saha et al.
Summary of Tenns-pleiades: Building Temporal Kernels with Orthogonal Polynomials, by Yan Ru Pei et al.
Summary of Multi-order Graph Clustering with Adaptive Node-level Weight Learning, by Ye Liu et al.
Summary of Metacognitive Capabilities Of Llms: An Exploration in Mathematical Problem Solving, by Aniket Didolkar et al.
Summary of Training Data Attribution Via Approximate Unrolled Differentiation, by Juhan Bae et al.
Summary of Tinyllava Factory: a Modularized Codebase For Small-scale Large Multimodal Models, by Junlong Jia et al.
Summary of Beyond Mle: Investigating Searnn For Low-resourced Neural Machine Translation, by Chris Emezue
Summary of Lsenet: Lorentz Structural Entropy Neural Network For Deep Graph Clustering, by Li Sun et al.
Summary of Fedcada: Adaptive Client-side Optimization For Accelerated and Stable Federated Learning, by Liuzhi Zhou et al.
Summary of A Three-phase Analysis Of Synergistic Effects During Co-pyrolysis Of Algae and Wood For Biochar Yield Using Machine Learning, by Subhadeep Chakrabarti and Saish Shinde
Summary of Federated Learning For Time-series Healthcare Sensing with Incomplete Modalities, by Adiba Orzikulova et al.
Summary of Adversarially Diversified Rehearsal Memory (adrm): Mitigating Memory Overfitting Challenge in Continual Learning, by Hikmat Khan et al.
Summary of Alternators For Sequence Modeling, by Mohammad Reza Rezaei and Adji Bousso Dieng
Summary of Depth Prompting For Sensor-agnostic Depth Estimation, by Jin-hwi Park et al.
Summary of Towards Graph Contrastive Learning: a Survey and Beyond, by Wei Ju et al.
Summary of Quantifying In-context Reasoning Effects and Memorization Effects in Llms, by Siyu Lou et al.
Summary of A Novel Cartography-based Curriculum Learning Method Applied on Ronli: the First Romanian Natural Language Inference Corpus, by Eduard Poesina et al.
Summary of Out-of-distribution Detection with a Single Unconditional Diffusion Model, by Alvin Heng et al.
Summary of Vertical Federated Learning Hybrid Local Pre-training, by Wenguo Li et al.
Summary of Sparse Attention-driven Quality Prediction For Production Process Optimization in Digital Twins, by Yanlei Yin and Lihua Wang and Dinh Thai Hoang and Wenbo Wang and Dusit Niyato
Summary of Accurate Link Prediction For Edge-incomplete Graphs Via Pu Learning, by Junghun Kim et al.
Summary of Ensemble and Mixture-of-experts Deeponets For Operator Learning, by Ramansh Sharma et al.
Summary of Information Leakage From Embedding in Large Language Models, by Zhipeng Wan et al.
Summary of On Efficient and Statistical Quality Estimation For Data Annotation, by Jan-christoph Klie et al.
Summary of Data Contamination Calibration For Black-box Llms, by Wentao Ye et al.
Summary of Feasibility Consistent Representation Learning For Safe Reinforcement Learning, by Zhepeng Cen et al.
Summary of Adaptive Batch Normalization Networks For Adversarial Robustness, by Shao-yuan Lo et al.
Summary of Semantic Trajectory Data Mining with Llm-informed Poi Classification, by Yifan Liu et al.
Summary of Efficiency Optimization Of Large-scale Language Models Based on Deep Learning in Natural Language Processing Tasks, by Taiyuan Mei et al.
Summary of Highway Graph to Accelerate Reinforcement Learning, by Zidu Yin et al.
Summary of What Radio Waves Tell Us About Sleep, by Hao He et al.
Summary of Degree Of Irrationality: Sentiment and Implied Volatility Surface, by Jiahao Weng and Yan Xie
Summary of Learning Future Representation with Synthetic Observations For Sample-efficient Reinforcement Learning, by Xin Liu et al.
Summary of A General Theory For Compositional Generalization, by Jingwen Fu et al.
Summary of Configurable Mirror Descent: Towards a Unification Of Decision Making, by Pengdeng Li et al.
Summary of Erasing the Bias: Fine-tuning Foundation Models For Semi-supervised Learning, by Kai Gan et al.
Summary of Interpretability Of Statistical, Machine Learning, and Deep Learning Models For Landslide Susceptibility Mapping in Three Gorges Reservoir Area, by Cheng Chen et al.
Summary of Asymptotic Theory Of In-context Learning by Linear Attention, By Yue M. Lu et al.
Summary of Fed-credit: Robust Federated Learning with Credibility Management, by Jiayan Chen et al.
Summary of From Shap Scores to Feature Importance Scores, by Olivier Letoffe et al.
Summary of Exploring Ordinality in Text Classification: a Comparative Study Of Explicit and Implicit Techniques, by Siva Rajesh Kasa et al.
Summary of Efficient Multi-agent Reinforcement Learning by Planning, By Qihan Liu et al.
Summary of General Bounds on the Quality Of Bayesian Coresets, by Trevor Campbell
Summary of Inverse Design Of Metal-organic Frameworks Using Quantum Natural Language Processing, by Shinyoung Kang et al.
Summary of Reward-punishment Reinforcement Learning with Maximum Entropy, by Jiexin Wang and Eiji Uchibe
Summary of Quantile Activation: Correcting a Failure Mode Of Ml Models, by Aditya Challa et al.
Summary of Reproducibility Study Of Cdul: Clip-driven Unsupervised Learning For Multi-label Image Classification, by Manan Shah et al.
Summary of Retraction-free Decentralized Non-convex Optimization with Orthogonal Constraints, by Youbang Sun et al.
Summary of How to Integrate Cloud Service, Data Analytic and Machine Learning Technique to Reduce Cyber Risks Associated with the Modern Cloud Based Infrastructure, by Upakar Bhatta
Summary of Switched Flow Matching: Eliminating Singularities Via Switching Odes, by Qunxi Zhu et al.
Summary of Novel Interpretable and Robust Web-based Ai Platform For Phishing Email Detection, by Abdulla Al-subaiey et al.
Summary of Continuous Predictive Modeling Of Clinical Notes and Icd Codes in Patient Health Records, by Mireia Hernandez Caralt et al.
Summary of Geometry-aware Instrumental Variable Regression, by Heiner Kremer et al.
Summary of Morphological Prototyping For Unsupervised Slide Representation Learning in Computational Pathology, by Andrew H. Song et al.
Summary of Hummer: Towards Limited Competitive Preference Dataset, by Li Jiang et al.
Summary of Movie Revenue Prediction Using Machine Learning Models, by Vikranth Udandarao and Pratyush Gupta
Summary of Do No Harm: a Counterfactual Approach to Safe Reinforcement Learning, by Sean Vaskov et al.
Summary of On the Expressivity Of Recurrent Neural Cascades with Identity, by Nadezda Alexandrovna Knorozova and Alessandro Ronca
Summary of The Limits and Potentials Of Local Sgd For Distributed Heterogeneous Learning with Intermittent Communication, by Kumar Kshitij Patel et al.
Summary of Review Of Interpretable Machine Learning Models For Disease Prognosis, by Jinzhi Shen and Ke Ma
Summary of Advancing 6-dof Instrument Pose Estimation in Variable X-ray Imaging Geometries, by Christiaan G.a. Viviers et al.
Summary of Conditionally-conjugate Gaussian Process Factor Analysis For Spike Count Data Via Data Augmentation, by Yididiya Y. Nadew et al.
Summary of Learning Regularities From Data Using Spiking Functions: a Theory, by Canlin Zhang and Xiuwen Liu
Summary of Approximation and Gradient Descent Training with Neural Networks, by G. Welper
Summary of Qcomp: a Qsar-based Data Completion Framework For Drug Discovery, by Bingjia Yang et al.
Summary of How Big Is Big Data?, by Daniel T. Speckhard et al.
Summary of Large Language Models Are Biased Reinforcement Learners, by William M. Hayes et al.
Summary of Maml-en-llm: Model Agnostic Meta-training Of Llms For Improved In-context Learning, by Sanchit Sinha et al.
Summary of On Robust Reinforcement Learning with Lipschitz-bounded Policy Networks, by Nicholas H. Barbara et al.
Summary of Review Of Deep Learning Models For Crypto Price Prediction: Implementation and Evaluation, by Jingyang Wu et al.
Summary of Netmamba: Efficient Network Traffic Classification Via Pre-training Unidirectional Mamba, by Tongze Wang et al.
Summary of Comparisons Are All You Need For Optimizing Smooth Functions, by Chenyi Zhang and Tongyang Li
Summary of Efficient Prompt Tuning by Multi-space Projection and Prompt Fusion, By Pengxiang Lan et al.
Summary of Vcformer: Variable Correlation Transformer with Inherent Lagged Correlation For Multivariate Time Series Forecasting, by Yingnan Yang et al.
Summary of Automated Coastline Extraction Using Edge Detection Algorithms, by Conor O’sullivan et al.
Summary of The Effectiveness Of Edge Detection Evaluation Metrics For Automated Coastline Detection, by Conor O’sullivan et al.
Summary of Msner: a Multilingual Speech Dataset For Named Entity Recognition, by Quentin Meeus and Marie-francine Moens and Hugo Van Hamme
Summary of Interpreting a Semantic Segmentation Model For Coastline Detection, by Conor O’sullivan et al.
Summary of Overcoming Data and Model Heterogeneities in Decentralized Federated Learning Via Synthetic Anchors, by Chun-yin Huang and Kartik Srinivas and Xin Zhang and Xiaoxiao Li
Summary of Learning More Generalized Experts by Merging Experts in Mixture-of-experts, By Sejik Park
Summary of Hierarchical Selective Classification, by Shani Goren et al.