Paper List

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Summary of Self-attentive Transformer For Fast and Accurate Postprocessing Of Temperature and Wind Speed Forecasts, by Aaron Van Poecke et al.
Summary of Harvesting Energy From Turbulent Winds with Reinforcement Learning, by Lorenzo Basile et al.
Summary of Comparative Analysis Of Machine Learning-based Imputation Techniques For Air Quality Datasets with High Missing Data Rates, by Sen Yan et al.
Summary of When Should We Prefer State-to-visual Dagger Over Visual Reinforcement Learning?, by Tongzhou Mu et al.
Summary of Taudiff: Highly Efficient Kilometer-scale Downscaling Using Generative Diffusion Models, by Rahul Sundar et al.
Summary of Time-reversible Bridges Of Data with Machine Learning, by Ludwig Winkler
Summary of Exploring Multi-modal Integration with Tool-augmented Llm Agents For Precise Causal Discovery, by Chengao Shen et al.
Summary of Antileak-bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-world Knowledge, By Xiaobao Wu et al.
Summary of Anchorinv: Few-shot Class-incremental Learning Of Physiological Signals Via Representation Space Guided Inversion, by Chenqi Li et al.
Summary of On Enhancing Root Cause Analysis with Sql Summaries For Failures in Database Workload Replays at Sap Hana, by Neetha Jambigi et al.
Summary of Personalized Clustering Via Targeted Representation Learning, by Xiwen Geng et al.
Summary of Sse-sam: Balancing Head and Tail Classes Gradually Through Stage-wise Sam, by Xingyu Lyu et al.
Summary of Usefuse: Utile Stride For Enhanced Performance in Fused Layer Architecture Of Deep Neural Networks, by Muhammad Sohail Ibrahim and Muhammad Usman and Jeong-a Lee
Summary of Optimal Exact Recovery in Semi-supervised Learning: a Study Of Spectral Methods and Graph Convolutional Networks, by Hai-xiao Wang et al.
Summary of Uncertainty Separation Via Ensemble Quantile Regression, by Navid Ansari et al.
Summary of Federated Source-free Domain Adaptation For Classification: Weighted Cluster Aggregation For Unlabeled Data, by Junki Mori et al.
Summary of Rehearsal-free Continual Federated Learning with Synergistic Regularization, by Yichen Li et al.
Summary of Toward Efficient Data-free Unlearning, by Chenhao Zhang et al.
Summary of Mix-ln: Unleashing the Power Of Deeper Layers by Combining Pre-ln and Post-ln, By Pengxiang Li et al.
Summary of Extreme Multi-label Completion For Semantic Document Labelling with Taxonomy-aware Parallel Learning, by Julien Audiffren et al.
Summary of Graph Coarsening Via Supervised Granular-ball For Scalable Graph Neural Network Training, by Shuyin Xia et al.
Summary of Unleashing the Power Of Continual Learning on Non-centralized Devices: a Survey, by Yichen Li et al.
Summary of Cad-assistant: Tool-augmented Vllms As Generic Cad Task Solvers, by Dimitrios Mallis et al.
Summary of Rare Event Detection in Imbalanced Multi-class Datasets Using An Optimal Mip-based Ensemble Weighting Approach, by Georgios Tertytchny et al.
Summary of Communication-efficient Personalized Federal Graph Learning Via Low-rank Decomposition, by Ruyue Liu et al.
Summary of Federated Unlearning Model Recovery in Data with Skewed Label Distributions, by Xinrui Yu et al.
Summary of Socialed: a Python Library For Social Event Detection, by Kun Zhang et al.
Summary of Efficient Fine-tuning Of Single-cell Foundation Models Enables Zero-shot Molecular Perturbation Prediction, by Sepideh Maleki et al.
Summary of Federated T-sne and Umap For Distributed Data Visualization, by Dong Qiao et al.
Summary of Open-source Protein Language Models For Function Prediction and Protein Design, by Shivasankaran Vanaja Pandi et al.
Summary of Learning Causal Transition Matrix For Instance-dependent Label Noise, by Jiahui Li et al.
Summary of Fine-tuning Aligned Classifiers For Merging Outputs: Towards a Superior Evaluation Protocol in Model Merging, by Fanshuang Kong et al.
Summary of Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities, by Jiaxing Qi et al.
Summary of Information-theoretic Generative Clustering Of Documents, by Xin Du et al.
Summary of Spatio-temporal Fuzzy-oriented Multi-modal Meta-learning For Fine-grained Emotion Recognition, by Jingyao Wang et al.
Summary of Escapebench: Pushing Language Models to Think Outside the Box, by Cheng Qian and Peixuan Han and Qinyu Luo and Bingxiang He and Xiusi Chen and Yuji Zhang and Hongyi Du and Jiarui Yao and Xiaocheng Yang and Denghui Zhang and Yunzhu Li and Heng Ji
Summary of Multi-view Granular-ball Contrastive Clustering, by Peng Su et al.
Summary of Indirect Query Bayesian Optimization with Integrated Feedback, by Mengyan Zhang et al.
Summary of Powermlp: An Efficient Version Of Kan, by Ruichen Qiu and Yibo Miao and Shiwen Wang and Lijia Yu and Yifan Zhu and Xiao-shan Gao
Summary of Pasco (parallel Structured Coarsening): An Overlay to Speed Up Graph Clustering Algorithms, by Etienne Lasalle (ockham) et al.
Summary of Semidfl: a Semi-supervised Paradigm For Decentralized Federated Learning, by Xinyang Liu et al.
Summary of Premixer: Mlp-based Pre-training Enhanced Mlp-mixers For Large-scale Traffic Forecasting, by Tongtong Zhang et al.
Summary of Unifying Attribution-based Explanations Using Functional Decomposition, by Arne Gevaert et al.
Summary of Training Verification-friendly Neural Networks Via Neuron Behavior Consistency, by Zongxin Liu et al.
Summary of Content-aware Balanced Spectrum Encoding in Masked Modeling For Time Series Classification, by Yudong Han et al.
Summary of Cosee: Consistency-oriented Signal-based Early Exiting Via Calibrated Sample Weighting Mechanism, by Jianing He et al.
Summary of Enhancing Internet Of Things Security Throughself-supervised Graph Neural Networks, by Safa Ben Atitallah et al.
Summary of Gpgym: a Remote Service Platform with Gaussian Process Regression For Online Learning, by Xiaobing Dai et al.
Summary of Posterior Mean Matching: Generative Modeling Through Online Bayesian Inference, by Sebastian Salazar et al.
Summary of Interpretable Deformable Image Registration: a Geometric Deep Learning Perspective, by Vasiliki Sideri-lampretsa et al.
Summary of Fastvlm: Efficient Vision Encoding For Vision Language Models, by Pavan Kumar Anasosalu Vasu et al.
Summary of Losslens: Diagnostics For Machine Learning Through Loss Landscape Visual Analytics, by Tiankai Xie et al.
Summary of Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals, by Till Aust and Eduard Buss and Felix Mohr and Heiko Hamann
Summary of Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models, by Elvis Nunez et al.
Summary of Beyond Accuracy: on the Effects Of Fine-tuning Towards Vision-language Model’s Prediction Rationality, by Qitong Wang et al.
Summary of Unveiling the Secret Recipe: a Guide For Supervised Fine-tuning Small Llms, by Aldo Pareja et al.
Summary of Concept-rot: Poisoning Concepts in Large Language Models with Model Editing, by Keltin Grimes et al.
Summary of Wind Speed Forecasting Based on Data Decomposition and Deep Learning Models: a Case Study Of a Wind Farm in Saudi Arabia, by Yasmeen Aldossary and Nabil Hewahi and Abdulla Alasaadi
Summary of A Novel Machine Learning Classifier Based on Genetic Algorithms and Data Importance Reformatting, by A. K. Alkhayyata and N. M. Hewahi
Summary of Maskhand: Generative Masked Modeling For Robust Hand Mesh Reconstruction in the Wild, by Muhammad Usama Saleem et al.
Summary of Marigold-dc: Zero-shot Monocular Depth Completion with Guided Diffusion, by Massimiliano Viola et al.
Summary of Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation, by Burak Ekim et al.
Summary of Lightweight Safety Classification Using Pruned Language Models, by Mason Sawtell et al.
Summary of Relational Neurosymbolic Markov Models, by Lennert De Smet et al.
Summary of Queries, Representation & Detection: the Next 100 Model Fingerprinting Schemes, by Augustin Godinot et al.
Summary of Open-set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm, by Thai-hoang Pham et al.
Summary of Modality-inconsistent Continual Learning Of Multimodal Large Language Models, by Weiguo Pian et al.
Summary of On the Hardness Of Training Deep Neural Networks Discretely, by Ilan Doron-arad
Summary of Vidtok: a Versatile and Open-source Video Tokenizer, by Anni Tang et al.
Summary of Predicting Change, Not States: An Alternate Framework For Neural Pde Surrogates, by Anthony Zhou and Amir Barati Farimani
Summary of Identifying Bias in Deep Neural Networks Using Image Transforms, by Sai Teja Erukude et al.
Summary of Reservoir Computing For Fast, Simplified Reinforcement Learning on Memory Tasks, by Kevin Mckee
Summary of Incremental Online Learning Of Randomized Neural Network with Forward Regularization, by Junda Wang et al.
Summary of Swan: Sgd with Normalization and Whitening Enables Stateless Llm Training, by Chao Ma et al.
Summary of Active Reinforcement Learning Strategies For Offline Policy Improvement, by Ambedkar Dukkipati et al.
Summary of On Model Extrapolation in Marginal Shapley Values, by Ilya Rozenfeld
Summary of A Conformal Approach to Feature-based Newsvendor Under Model Misspecification, by Junyu Cao
Summary of Banglishrev: a Large-scale Bangla-english and Code-mixed Dataset Of Product Reviews in E-commerce, by Mohammad Nazmush Shamael et al.
Summary of Orformer: Occlusion-robust Transformer For Accurate Facial Landmark Detection, by Jui-che Chiang et al.
Summary of Tilted Quantile Gradient Updates For Quantile-constrained Reinforcement Learning, by Chenglin Li et al.
Summary of Handsonvlm: Vision-language Models For Hand-object Interaction Prediction, by Chen Bao et al.
Summary of Proposer-agent-evaluator(pae): Autonomous Skill Discovery For Foundation Model Internet Agents, by Yifei Zhou et al.
Summary of Cross-table Synthetic Tabular Data Detection, by G. Charbel N. Kindji (lacodam) et al.
Summary of Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations For Visual Trajectory Prediction, by Zhenjiang Mao and Ivan Ruchkin
Summary of Towards Effective Graph Rationalization Via Boosting Environment Diversity, by Yujie Wang et al.
Summary of A Comparative Study Of Pruning Methods in Transformer-based Time Series Forecasting, by Nicholas Kiefer et al.
Summary of Timecheat: a Channel Harmony Strategy For Irregularly Sampled Multivariate Time Series Analysis, by Jiexi Liu et al.
Summary of Suppressing Uncertainty in Gaze Estimation, by Shijing Wang et al.
Summary of Pt: a Plain Transformer Is Good Hospital Readmission Predictor, by Zhenyi Fan et al.
Summary of An Agentic Approach to Automatic Creation Of P&id Diagrams From Natural Language Descriptions, by Shreeyash Gowaikar et al.
Summary of Sequential Harmful Shift Detection Without Labels, by Salim I. Amoukou et al.
Summary of Graph Spring Neural Odes For Link Sign Prediction, by Andrin Rehmann and Alexandre Bovet
Summary of Boids: High-dimensional Bayesian Optimization Via Incumbent-guided Direction Lines and Subspace Embeddings, by Lam Ngo et al.
Summary of Multi-subspace Matrix Recovery From Permuted Data, by Liangqi Xie et al.
Summary of A Simple Dnn Regression For the Chemical Composition in Essential Oil, by Yuki Harada et al.
Summary of Finegates: Llms Finetuning with Compression Using Stochastic Gates, by Jonathan Svirsky et al.
Summary of Efficient Diffusion Transformer Policies with Mixture Of Expert Denoisers For Multitask Learning, by Moritz Reuss et al.
Summary of On Local Overfitting and Forgetting in Deep Neural Networks, by Uri Stern et al.
Summary of Archesweather & Archesweathergen: a Deterministic and Generative Model For Efficient Ml Weather Forecasting, by Guillaume Couairon et al.
Summary of Cluster-guided Contrastive Class-imbalanced Graph Classification, by Wei Ju et al.