Paper List

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Summary of Time Series Anomaly Detection with Cnn For Environmental Sensors in Healthcare-iot, by Mirza Akhi Khatun et al.
Summary of The Susceptibility Of Example-based Explainability Methods to Class Outliers, by Ikhtiyor Nematov et al.
Summary of Weak Neural Variational Inference For Solving Bayesian Inverse Problems Without Forward Models: Applications in Elastography, by Vincent C. Scholz et al.
Summary of Spatial Temporal Approach For High-resolution Gridded Wind Forecasting Across Southwest Western Australia, by Fuling Chen et al.
Summary of Mltogai: Semantic Web Based with Machine Learning For Enhanced Disease Prediction and Personalized Recommendations Using Generative Ai, by Shyam Dongre et al.
Summary of From Pixels to Planning: Scale-free Active Inference, by Karl Friston et al.
Summary of Supervised Learning Based Method For Condition Monitoring Of Overhead Line Insulators Using Leakage Current Measurement, by Mile Mitrovic et al.
Summary of A Bayesian Flow Network Framework For Chemistry Tasks, by Nianze Tao et al.
Summary of Dataset Distillation For Offline Reinforcement Learning, by Jonathan Light et al.
Summary of Physics Of Language Models: Part 2.1, Grade-school Math and the Hidden Reasoning Process, by Tian Ye et al.
Summary of Dense Self-supervised Learning For Medical Image Segmentation, by Maxime Seince et al.
Summary of Neural Surrogate Hmc: Accelerated Hamiltonian Monte Carlo with a Neural Network Surrogate Likelihood, by Linnea M Wolniewicz et al.
Summary of Importance Corrected Neural Jko Sampling, by Johannes Hertrich and Robert Gruhlke
Summary of Commit: Coordinated Instruction Tuning For Multimodal Large Language Models, by Junda Wu et al.
Summary of A Method For Fast Autonomy Transfer in Reinforcement Learning, by Dinuka Sahabandu et al.
Summary of Distribution Learning For Molecular Regression, by Nima Shoghi et al.
Summary of A2sf: Accumulative Attention Scoring with Forgetting Factor For Token Pruning in Transformer Decoder, by Hyun-rae Jo et al.
Summary of Relaxed Equivariant Graph Neural Networks, by Elyssa Hofgard et al.
Summary of Toward Efficient Permutation For Hierarchical N:m Sparsity on Gpus, by Seungmin Yu et al.
Summary of Optimizing Long-tailed Link Prediction in Graph Neural Networks Through Structure Representation Enhancement, by Yakun Wang et al.
Summary of A Federated Large Language Model For Long-term Time Series Forecasting, by Raed Abdel-sater and A. Ben Hamza
Summary of Boosting Efficiency in Task-agnostic Exploration Through Causal Knowledge, by Yupei Yang et al.
Summary of Unveiling the Potential Of Spiking Dynamics in Graph Representation Learning Through Spatial-temporal Normalization and Coding Strategies, by Mingkun Xu et al.
Summary of Hierarchically Disentangled Recurrent Network For Factorizing System Dynamics Of Multi-scale Systems, by Rahul Ghosh et al.
Summary of Time Series Forecasting with High Stakes: a Field Study Of the Air Cargo Industry, by Abhinav Garg et al.
Summary of Autoscale: Automatic Prediction Of Compute-optimal Data Composition For Training Llms, by Feiyang Kang et al.
Summary of Emergence in Non-neural Models: Grokking Modular Arithmetic Via Average Gradient Outer Product, by Neil Mallinar et al.
Summary of Learning Random Numbers to Realize Appendable Memory System For Artificial Intelligence to Acquire New Knowledge After Deployment, by Kazunori D Yamada
Summary of Supertrust Foundational Alignment: Mutual Trust Must Replace Permanent Control For Safe Superintelligence, by James M. Mazzu
Summary of Sapg: Split and Aggregate Policy Gradients, by Jayesh Singla et al.
Summary of Characterizing Dynamical Stability Of Stochastic Gradient Descent in Overparameterized Learning, by Dennis Chemnitz et al.
Summary of Specify and Edit: Overcoming Ambiguity in Text-based Image Editing, by Ekaterina Iakovleva et al.
Summary of From A-to-z Review Of Clustering Validation Indices, by Bryar A. Hassan et al.
Summary of Matryoshka-adaptor: Unsupervised and Supervised Tuning For Smaller Embedding Dimensions, by Jinsung Yoon et al.
Summary of Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks, by Thao Hoang et al.
Summary of Coeff-kans: a Paradigm to Address the Electrolyte Field with Kans, by Xinhe Li et al.
Summary of Accelerating the Low-rank Decomposed Models, by Habib Hajimolahoseini et al.
Summary of Utilizing Generative Adversarial Networks For Image Data Augmentation and Classification Of Semiconductor Wafer Dicing Induced Defects, by Zhining Hu et al.
Summary of A Large Encoder-decoder Family Of Foundation Models For Chemical Language, by Eduardo Soares et al.
Summary of Learn While Unlearn: An Iterative Unlearning Framework For Generative Language Models, by Haoyu Tang et al.
Summary of An Efficient Inference Framework For Early-exit Large Language Models, by Ruijie Miao et al.
Summary of Robust and Efficient Transfer Learning Via Supernet Transfer in Warm-started Neural Architecture Search, by Prabhant Singh et al.
Summary of Neusemslice: Towards Effective Dnn Model Maintenance Via Neuron-level Semantic Slicing, by Shide Zhou and Tianlin Li and Yihao Huang and Ling Shi and Kailong Wang and Yang Liu and Haoyu Wang
Summary of Practical and Robust Safety Guarantees For Advanced Counterfactual Learning to Rank, by Shashank Gupta et al.
Summary of Classification Of Alzheimer’s Dementia Vs. Healthy Subjects by Studying Structural Disparities in Fmri Time-series Of Dmn, By Sneha Noble et al.
Summary of Can I Trust My Anomaly Detection System? a Case Study Based on Explainable Ai, by Muhammad Rashid et al.
Summary of Mixture Of Nested Experts: Adaptive Processing Of Visual Tokens, by Gagan Jain et al.
Summary of On the Effects Of Irrelevant Variables in Treatment Effect Estimation with Deep Disentanglement, by Ahmad Saeed Khan et al.
Summary of Classification Of Freshwater Snails Of the Genus Radomaniola with Multimodal Triplet Networks, by Dennis Vetter and Muhammad Ahsan and Diana Delicado and Thomas A. Neubauer and Thomas Wilke and Gemma Roig
Summary of Imaginet: a Multi-content Benchmark For Synthetic Image Detection, by Delyan Boychev et al.
Summary of Mimiq: Low-bit Data-free Quantization Of Vision Transformers with Encouraging Inter-head Attention Similarity, by Kanghyun Choi et al.
Summary of Aircraft Trajectory Segmentation-based Contrastive Coding: a Framework For Self-supervised Trajectory Representation, by Thaweerath Phisannupawong et al.
Summary of Salnas: Efficient Saliency-prediction Neural Architecture Search with Self-knowledge Distillation, by Chakkrit Termritthikun et al.
Summary of Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models, by Zhe Li et al.
Summary of Relbench: a Benchmark For Deep Learning on Relational Databases, by Joshua Robinson et al.
Summary of Denoising Esg: Quantifying Data Uncertainty From Missing Data with Machine Learning and Prediction Intervals, by Sergio Caprioli et al.
Summary of Xai-drop: Don’t Use What You Cannot Explain, by Vincenzo Marco De Luca et al.
Summary of Unitta: Unified Benchmark and Versatile Framework Towards Realistic Test-time Adaptation, by Chaoqun Du et al.
Summary of F-kans: Federated Kolmogorov-arnold Networks, by Engin Zeydan et al.
Summary of Strong Copyright Protection For Language Models Via Adaptive Model Fusion, by Javier Abad et al.
Summary of Diffusion-dice: In-sample Diffusion Guidance For Offline Reinforcement Learning, by Liyuan Mao et al.
Summary of Adaptive Self-supervised Robust Clustering For Unstructured Data with Unknown Cluster Number, by Chen-lu Ding et al.
Summary of Tightening the Evaluation Of Pac Bounds Using Formal Verification Results, by Thomas Walker et al.
Summary of Revisiting the Robustness Of Post-hoc Interpretability Methods, by Jiawen Wei et al.
Summary of Causal Interventional Prediction System For Robust and Explainable Effect Forecasting, by Zhixuan Chu et al.
Summary of Multiscale Representation Enhanced Temporal Flow Fusion Model For Long-term Workload Forecasting, by Shiyu Wang et al.
Summary of Generalization Bounds For Regression and Classification on Adaptive Covering Input Domains, by Wen-liang Hwang
Summary of Constructing Artificial Life and Materials Scientists with Accelerated Ai Using Deep Andersonn, by Saleem Abdul Fattah Ahmed Al Dajani et al.
Summary of Sensor Selection Via Gflownets: a Deep Generative Modeling Framework to Navigate Combinatorial Complexity, by Spilios Evmorfos et al.
Summary of Revisiting Agnostic Pac Learning, by Steve Hanneke et al.
Summary of Map2traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model, by Zhenyu Tao et al.
Summary of Survey and Taxonomy: the Role Of Data-centric Ai in Transformer-based Time Series Forecasting, by Jingjing Xu et al.
Summary of Federated Learning Based Latent Factorization Of Tensors For Privacy-preserving Qos Prediction, by Shuai Zhong et al.
Summary of Imputation For Prediction: Beware Of Diminishing Returns, by Marine Le Morvan (soda) et al.
Summary of Online Multi-source Domain Adaptation Through Gaussian Mixtures and Dataset Dictionary Learning, by Eduardo Fernandes Montesuma et al.
Summary of Backdoorbench: a Comprehensive Benchmark and Analysis Of Backdoor Learning, by Baoyuan Wu et al.
Summary of Imitation Learning For Intra-day Power Grid Operation Through Topology Actions, by Matthijs De Jong et al.
Summary of Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning, by Leen Kweider et al.
Summary of Openuas: Embeddings Of Cities in Japan with Anchor Data For Cross-city Analysis Of Area Usage Patterns, by Naoki Tamura et al.
Summary of Making Multi-axis Gaussian Graphical Models Scalable to Millions Of Samples and Features, by Bailey Andrew et al.
Summary of Beexai: Benchmark to Evaluate Explainable Ai, by Samuel Sithakoul et al.
Summary of Boosting Graph Foundation Model From Structural Perspective, by Yao Cheng and Yige Zhao and Jianxiang Yu and Xiang Li
Summary of Noise-resilient Unsupervised Graph Representation Learning Via Multi-hop Feature Quality Estimation, by Shiyuan Li et al.
Summary of Unigap: a Universal and Adaptive Graph Upsampling Approach to Mitigate Over-smoothing in Node Classification Tasks, by Xiaotang Wang et al.
Summary of Improved Physics-informed Neural Network in Mitigating Gradient Related Failures, by Pancheng Niu et al.
Summary of Causal Discovery in Linear Models with Unobserved Variables and Measurement Error, by Yuqin Yang et al.
Summary of Reputation-driven Asynchronous Federated Learning For Enhanced Trajectory Prediction with Blockchain, by Weiliang Chen et al.
Summary of Ftf-er: Feature-topology Fusion-based Experience Replay Method For Continual Graph Learning, by Jinhui Pang et al.
Summary of Piecewise Deterministic Generative Models, by Andrea Bertazzi et al.
Summary of Ego-vpa: Egocentric Video Understanding with Parameter-efficient Adaptation, by Tz-ying Wu et al.
Summary of Robust Fast Adaptation From Adversarially Explicit Task Distribution Generation, by Cheems Wang et al.
Summary of The Interpretability Of Codebooks in Model-based Reinforcement Learning Is Limited, by Kenneth Eaton et al.
Summary of Sharp Bounds For Poly-gnns and the Effect Of Graph Noise, by Luciano Vinas and Arash A. Amini
Summary of Overcoming Uncertain Incompleteness For Robust Multimodal Sequential Diagnosis Prediction Via Curriculum Data Erasing Guided Knowledge Distillation, by Heejoon Koo
Summary of Mini-batch Coresets For Memory-efficient Language Model Training on Data Mixtures, by Dang Nguyen et al.
Summary of Topictag: Automatic Annotation Of Nmf Topic Models Using Chain Of Thought and Prompt Tuning with Llms, by Selma Wanna et al.
Summary of Leveraging Vision Language Models For Specialized Agricultural Tasks, by Muhammad Arbab Arshad et al.
Summary of Realizing Unaligned Block-wise Pruning For Dnn Acceleration on Mobile Devices, by Hayun Lee et al.
Summary of “a Good Bot Always Knows Its Limitations”: Assessing Autonomous System Decision-making Competencies Through Factorized Machine Self-confidence, by Brett Israelsen et al.
Summary of Bridging Compressed Image Latents and Multimodal Large Language Models, by Chia-hao Kao et al.