Paper List
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Summary of Accelerating Large Language Model Training with 4d Parallelism and Memory Consumption Estimator, by Kazuki Fujii et al.
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Summary of Vocaltweets: Investigating Social Media Offensive Language Among Nigerian Musicians, by Sunday Oluyele et al.
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Summary of Mitigating Covariate Shift in Non-colocated Data with Learned Parameter Priors, by Behraj Khan et al.
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Summary of Expansion Quantization Network: An Efficient Micro-emotion Annotation and Detection Framework, by Jingyi Zhou et al.
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Summary of Seekr: Selective Attention-guided Knowledge Retention For Continual Learning Of Large Language Models, by Jinghan He et al.
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Summary of State Chrono Representation For Enhancing Generalization in Reinforcement Learning, by Jianda Chen et al.
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Summary of Clustering Algorithms and Rag Enhancing Semi-supervised Text Classification with Large Llms, by Shan Zhong et al.
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Summary of Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset From Multisource Observations, by Ayoub Jadouli and Chaker El Amrani
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Summary of Multistage Non-deterministic Classification Using Secondary Concept Graphs and Graph Convolutional Networks For High-level Feature Extraction, by Masoud Kargar et al.
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Summary of Weak to Strong Learning From Aggregate Labels, by Yukti Makhija and Rishi Saket
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Summary of Early Prediction Of Natural Gas Pipeline Leaks Using the Mktcn Model, by Xuguang Li and Zhonglin Zuo and Zheng Dong and Yang Yang
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Summary of Zero-shot Nas Via the Suppression Of Local Entropy Decrease, by Ning Wu et al.
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Summary of Theoretical Analysis Of Learned Database Operations Under Distribution Shift Through Distribution Learnability, by Sepanta Zeighami and Cyrus Shahahbi
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Summary of Federated Split Learning For Human Activity Recognition with Differential Privacy, by Josue Ndeko et al.
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Summary of Multi-view Majority Vote Learning Algorithms: Direct Minimization Of Pac-bayesian Bounds, by Mehdi Hennequin et al.
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Summary of Spikans: Separable Physics-informed Kolmogorov-arnold Networks, by Bruno Jacob et al.
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Summary of Tinyml Nlp Approach For Semantic Wireless Sentiment Classification, by Ahmed Y. Radwan et al.
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Summary of Intelligent Fault Diagnosis Of Type and Severity in Low-frequency, Low Bit-depth Signals, by Tito Spadini and Kenji Nose-filho and Ricardo Suyama
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Summary of When Are Dynamical Systems Learned From Time Series Data Statistically Accurate?, by Jeongjin Park and Nicole Yang and Nisha Chandramoorthy
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Summary of Amortized Bayesian Local Interpolation Network: Fast Covariance Parameter Estimation For Gaussian Processes, by Brandon R. Feng et al.
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Summary of Neureg: Domain-invariant 3d Image Registration on Human and Mouse Brains, by Taha Razzaq et al.
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Summary of Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates, by Congyuan Duan et al.
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Summary of Variance-aware Linear Ucb with Deep Representation For Neural Contextual Bandits, by Ha Manh Bui et al.
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Summary of A Picture Is Worth a Thousand Numbers: Enabling Llms Reason About Time Series Via Visualization, by Haoxin Liu et al.
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Summary of Longitudinal Ensemble Integration For Sequential Classification with Multimodal Data, by Aviad Susman et al.
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Summary of Factlens: Benchmarking Fine-grained Fact Verification, by Kushan Mitra et al.
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Summary of Game-theoretic Llm: Agent Workflow For Negotiation Games, by Wenyue Hua et al.
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Summary of Parallel Multi-path Feed Forward Neural Networks (pmffnn) For Long Columnar Datasets: a Novel Approach to Complexity Reduction, by Ayoub Jadouli and Chaker El Amrani
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Summary of Cglearn: Consistent Gradient-based Learning For Out-of-distribution Generalization, by Jawad Chowdhury et al.
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Summary of Personalized Hierarchical Split Federated Learning in Wireless Networks, by Md-ferdous Pervej et al.
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Summary of Learning Mixtures Of Experts with Em, by Quentin Fruytier et al.
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Summary of Gft: Graph Foundation Model with Transferable Tree Vocabulary, by Zehong Wang et al.
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Summary of Model Selection For Average Reward Rl with Application to Utility Maximization in Repeated Games, by Alireza Masoumian et al.
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Summary of A Survey on Kolmogorov-arnold Network, by Shriyank Somvanshi et al.
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Summary of Concept Bottleneck Language Models For Protein Design, by Aya Abdelsalam Ismail et al.
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Summary of Optimizing Large Language Models Through Quantization: a Comparative Analysis Of Ptq and Qat Techniques, by Jahid Hasan
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Summary of Scalable, Tokenization-free Diffusion Model Architectures with Efficient Initial Convolution and Fixed-size Reusable Structures For On-device Image Generation, by Sanchar Palit et al.
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Summary of Online Parallel Multi-task Relationship Learning Via Alternating Direction Method Of Multipliers, by Ruiyu Li and Peilin Zhao and Guangxia Li and Zhiqiang Xu and Xuewei Li
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Summary of Mutual-energy Inner Product Optimization Method For Constructing Feature Coordinates and Image Classification in Machine Learning, by Yuanxiu Wang
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Summary of Hiha: Introducing Hierarchical Harmonic Decomposition to Implicit Neural Compression For Atmospheric Data, by Zhewen Xu et al.
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Summary of Enhancing Financial Fraud Detection with Human-in-the-loop Feedback and Feedback Propagation, by Prashank Kadam
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Summary of Compactly-supported Nonstationary Kernels For Computing Exact Gaussian Processes on Big Data, by Mark D. Risser et al.
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Summary of Poor Man’s Training on Mcus: a Memory-efficient Quantized Back-propagation-free Approach, by Yequan Zhao et al.
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Summary of Interplay Between Federated Learning and Explainable Artificial Intelligence: a Scoping Review, by Luis M. Lopez-ramos et al.
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Summary of Towards Improved Preference Optimization Pipeline: From Data Generation to Budget-controlled Regularization, by Zhuotong Chen et al.
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Summary of Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass, by Tong Chen et al.
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Summary of Towards Equitable Asd Diagnostics: a Comparative Study Of Machine and Deep Learning Models Using Behavioral and Facial Data, by Mohammed Aledhari et al.
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Summary of When Are 1.58 Bits Enough? a Bottom-up Exploration Of Bitnet Quantization, by Jacob Nielsen et al.
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Summary of Predictive Digital Twin For Condition Monitoring Using Thermal Imaging, by Daniel Menges et al.
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Summary of Sssd: Simply-scalable Speculative Decoding, by Michele Marzollo et al.
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Summary of Streaming Bayes Gflownets, by Tiago Da Silva et al.
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Summary of Enhancing Cardiovascular Disease Prediction Through Multi-modal Self-supervised Learning, by Francesco Girlanda et al.
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Summary of Towards Multi-modal Mastery: a 4.5b Parameter Truly Multi-modal Small Language Model, by Ben Koska et al.
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Summary of Dnamite: Interpretable Calibrated Survival Analysis with Discretized Additive Models, by Mike Van Ness et al.
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Summary of The Effect Of Different Feature Selection Methods on Models Created with Xgboost, by Jorge Neyra et al.
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Summary of Moving Off-the-grid: Scene-grounded Video Representations, by Sjoerd Van Steenkiste et al.
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Summary of Quantifying Artificial Intelligence Through Algebraic Generalization, by Takuya Ito et al.
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Summary of Gci-vital: Gradual Confidence Improvement with Vision Transformers For Active Learning on Label Noise, by Moseli Mots’oehli and Kyungim Baek
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Summary of Neko: Toward Post Recognition Generative Correction Large Language Models with Task-oriented Experts, by Yen-ting Lin et al.
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Summary of Sentiment Analysis Of Cyberbullying Data in Social Media, by Arvapalli Sai Susmitha et al.
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Summary of Free Record-level Privacy Risk Evaluation Through Artifact-based Methods, by Joseph Pollock et al.
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Summary of Continuous-time Analysis Of Adaptive Optimization and Normalization, by Rhys Gould et al.
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Summary of Fishermask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information, by Shreen Gul et al.
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Summary of Tract-rlformer: a Tract-specific Rl Policy Based Decoder-only Transformer Network, by Ankita Joshi et al.
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Summary of Findver: Explainable Claim Verification Over Long and Hybrid-content Financial Documents, by Yilun Zhao et al.
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Summary of Curriculum Learning For Few-shot Domain Adaptation in Ct-based Airway Tree Segmentation, by Maxime Jacovella et al.
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Summary of Variational Bayes Decomposition For Inverse Estimation with Superimposed Multispectral Intensity, by Akinori Asahara et al.
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Summary of A Comprehensive Survey Of Time Series Forecasting: Architectural Diversity and Open Challenges, by Jongseon Kim (1 and 3) et al.
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Summary of From Pixels to Prose: Advancing Multi-modal Language Models For Remote Sensing, by Xintian Sun et al.
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Summary of Open Llms Are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives, by Vincent Hanke et al.
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Summary of A Theory Of Stabilization by Skull Carving, By Mathieu Lamarre et al.
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Summary of Fully Automated Correlated Time Series Forecasting in Minutes, by Xinle Wu et al.
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Summary of Neural Precision Polarization: Simplifying Neural Network Inference with Dual-level Precision, by Dinithi Jayasuriya et al.
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Summary of Gaussian Smoothing in Saliency Maps: the Stability-fidelity Trade-off in Neural Network Interpretability, by Zhuorui Ye et al.
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Summary of Reducing Catastrophic Forgetting Of Incremental Learning in the Absence Of Rehearsal Memory with Task-specific Token, by Young Jo Choi et al.
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Summary of Multivariate Data Augmentation For Predictive Maintenance Using Diffusion, by Andrew Thompson et al.
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Summary of A Fundamental Accuracy–robustness Trade-off in Regression and Classification, by Sohail Bahmani
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Summary of Learning Morphisms with Gauss-newton Approximation For Growing Networks, by Neal Lawton et al.
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Summary of Financial Fraud Detection Using Jump-attentive Graph Neural Networks, by Prashank Kadam
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Summary of Saliency Assisted Quantization For Neural Networks, by Elmira Mousa Rezabeyk et al.
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Summary of Predicting Stroke Through Retinal Graphs and Multimodal Self-supervised Learning, by Yuqing Huang et al.
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Summary of Acceleration For Deep Reinforcement Learning Using Parallel and Distributed Computing: a Survey, by Zhihong Liu et al.
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Summary of Knowledge Distillation Neural Network For Predicting Car-following Behaviour Of Human-driven and Autonomous Vehicles, by Ayobami Adewale et al.
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Summary of Whale: Towards Generalizable and Scalable World Models For Embodied Decision-making, by Zhilong Zhang et al.
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Summary of Cross-validating Causal Discovery Via Leave-one-variable-out, by Daniela Schkoda et al.
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Summary of Video Rwkv:video Action Recognition Based Rwkv, by Zhuowen Yin et al.
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Summary of Improving Molecular Graph Generation with Flow Matching and Optimal Transport, by Xiaoyang Hou et al.
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Summary of Enhancing Model Fairness and Accuracy with Similarity Networks: a Methodological Approach, by Samira Maghool et al.
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Summary of Multi-armed Bandits with Missing Outcome, by Ilia Mahrooghi et al.
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Summary of Online-lora: Task-free Online Continual Learning Via Low Rank Adaptation, by Xiwen Wei et al.
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Summary of Tell What You Hear From What You See — Video to Audio Generation Through Text, by Xiulong Liu and Kun Su and Eli Shlizerman
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Summary of Yoso: You-only-sample-once Via Compressed Sensing For Graph Neural Network Training, by Yi Li et al.
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Summary of Visual-tcav: Concept-based Attribution and Saliency Maps For Post-hoc Explainability in Image Classification, by Antonio De Santis et al.
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Summary of Sample and Computationally Efficient Robust Learning Of Gaussian Single-index Models, by Puqian Wang et al.
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Summary of Scaling Laws For Task-optimized Models Of the Primate Visual Ventral Stream, by Abdulkadir Gokce et al.
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Summary of Graph-dictionary Signal Model For Sparse Representations Of Multivariate Data, by William Cappelletti and Pascal Frossard
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Summary of Stars: Sensor-agnostic Transformer Architecture For Remote Sensing, by Ethan King et al.