Paper List

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Summary of Structurally Prune Anything: Any Architecture, Any Framework, Any Time, by Xun Wang et al.
Summary of A Survey on Large Language Models From Concept to Implementation, by Chen Wang et al.
Summary of Textcraftor: Your Text Encoder Can Be Image Quality Controller, by Yanyu Li et al.
Summary of On Optimizing Hyperparameters For Quantum Neural Networks, by Sabrina Herbst et al.
Summary of Steingen: Generating Fidelitous and Diverse Graph Samples, by Gesine Reinert and Wenkai Xu
Summary of Scalable Lipschitz Estimation For Cnns, by Yusuf Sulehman et al.
Summary of Physics-informed Graph Neural Networks For Water Distribution Systems, by Inaam Ashraf et al.
Summary of Fusion Approaches For Emotion Recognition From Speech Using Acoustic and Text-based Features, by Leonardo Pepino and Pablo Riera and Luciana Ferrer and Agustin Gravano
Summary of Neural Network-based Piecewise Survival Models, by Olov Holmer et al.
Summary of Aiming For Relevance, by Bar Eini Porat et al.
Summary of Fact Checking Beyond Training Set, by Payam Karisani et al.
Summary of Non-linear Inference Time Intervention: Improving Llm Truthfulness, by Jakub Hoscilowicz et al.
Summary of Inceptiontime Vs. Wavelet — a Comparison For Time Series Classification, by Daniel Klenkert et al.
Summary of Deep Fusion: Capturing Dependencies in Contrastive Learning Via Transformer Projection Heads, by Huanran Li et al.
Summary of Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (clop), by Huanran Li et al.
Summary of Conditional Wasserstein Distances with Applications in Bayesian Ot Flow Matching, by Jannis Chemseddine et al.
Summary of Enhancing Manufacturing Quality Prediction Models Through the Integration Of Explainability Methods, by Dennis Gross et al.
Summary of Energy-guided Data Sampling For Traffic Prediction with Mini Training Datasets, by Zhaohui Yang et al.
Summary of Semi-supervised Learning For Deep Causal Generative Models, by Yasin Ibrahim et al.
Summary of Nonlinear Model Reduction For Operator Learning, by Hamidreza Eivazi et al.
Summary of Usage-specific Survival Modeling Based on Operational Data and Neural Networks, by Olov Holmer et al.
Summary of Understanding the Learning Dynamics Of Alignment with Human Feedback, by Shawn Im et al.
Summary of Detection Of Subclinical Atherosclerosis by Image-based Deep Learning on Chest X-ray, By Guglielmo Gallone et al.
Summary of Semrode: Macro Adversarial Training to Learn Representations That Are Robust to Word-level Attacks, by Brian Formento et al.
Summary of U-sketch: An Efficient Approach For Sketch to Image Diffusion Models, by Ilias Mitsouras et al.
Summary of Collaborative Active Learning in Conditional Trust Environment, by Zan-kai Chong et al.
Summary of Global Vegetation Modeling with Pre-trained Weather Transformers, by Pascal Janetzky et al.
Summary of Generalized Policy Learning For Smart Grids: Fl Trpo Approach, by Yunxiang Li et al.
Summary of Fresco: Federated Reinforcement Energy System For Cooperative Optimization, by Nicolas Mauricio Cuadrado et al.
Summary of Can Language Beat Numerical Regression? Language-based Multimodal Trajectory Prediction, by Inhwan Bae and Junoh Lee and Hae-gon Jeon
Summary of Corast: Towards Foundation Model-powered Correlated Data Analysis in Resource-constrained Cps and Iot, by Yi Hu et al.
Summary of Singulartrajectory: Universal Trajectory Predictor Using Diffusion Model, by Inhwan Bae and Young-jae Park and Hae-gon Jeon
Summary of Synthesizing Eeg Signals From Event-related Potential Paradigms with Conditional Diffusion Models, by Guido Klein et al.
Summary of Faster Convergence For Transformer Fine-tuning with Line Search Methods, by Philip Kenneweg et al.
Summary of Impact Of Employing Weather Forecast Data As Input to the Estimation Of Evapotranspiration by Deep Neural Network Models, By Pedro J. Vaz et al.
Summary of Learning in Pinns: Phase Transition, Total Diffusion, and Generalization, by Sokratis J. Anagnostopoulos et al.
Summary of Improving Line Search Methods For Large Scale Neural Network Training, by Philip Kenneweg et al.
Summary of Efficient Algorithms For Regularized Nonnegative Scale-invariant Low-rank Approximation Models, by Jeremy E. Cohen and Valentin Leplat
Summary of Language Plays a Pivotal Role in the Object-attribute Compositional Generalization Of Clip, by Reza Abbasi et al.
Summary of Safe and Robust Reinforcement Learning: Principles and Practice, by Taku Yamagata et al.
Summary of Skscope: Fast Sparsity-constrained Optimization in Python, by Zezhi Wang et al.
Summary of Attention-aware Semantic Relevance Predicting Chinese Sentence Reading, by Kun Sun
Summary of Pdnnet: Pdn-aware Gnn-cnn Heterogeneous Network For Dynamic Ir Drop Prediction, by Yuxiang Zhao et al.
Summary of Selective Mixup Fine-tuning For Optimizing Non-decomposable Objectives, by Shrinivas Ramasubramanian et al.
Summary of Genet: a Graph Neural Network-based Anti-noise Task-oriented Semantic Communication Paradigm, by Chunhang Zheng et al.
Summary of A Thermodynamically Consistent Physics-informed Deep Learning Material Model For Short Fiber/polymer Nanocomposites, by Betim Bahtiri et al.
Summary of Multi-modal Contrastive Learning For Online Clinical Time-series Applications, by Fabian Baldenweg et al.
Summary of Implementation Of the Principal Component Analysis Onto High-performance Computer Facilities For Hyperspectral Dimensionality Reduction: Results and Comparisons, by E. Martel et al.
Summary of Quantum Algorithms: a New Frontier in Financial Crime Prevention, by Abraham Itzhak Weinberg et al.
Summary of A Dataset For Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions Across Languages, by Lisa Raithel et al.
Summary of Macroscale Fracture Surface Segmentation Via Semi-supervised Learning Considering the Structural Similarity, by Johannes Rosenberger et al.
Summary of Tracking-assisted Object Detection with Event Cameras, by Ting-kang Yen et al.
Summary of The Artificial Neural Twin — Process Optimization and Continual Learning in Distributed Process Chains, by Johannes Emmert et al.
Summary of Supervised Multiple Kernel Learning Approaches For Multi-omics Data Integration, by Mitja Briscik et al.
Summary of Stragglers-aware Low-latency Synchronous Federated Learning Via Layer-wise Model Updates, by Natalie Lang et al.
Summary of Ship in Sight: Diffusion Models For Ship-image Super Resolution, by Luigi Sigillo et al.
Summary of Iip-mixer:intra-inter Patch Mixing Architecture For Battery Remaining Useful Life Prediction, by Guangzai Ye et al.
Summary of Generative Multi-modal Models Are Good Class-incremental Learners, by Xusheng Cao et al.
Summary of Tensor-based Graph Learning with Consistency and Specificity For Multi-view Clustering, by Long Shi and Lei Cao and Yunshan Ye and Yu Zhao and Badong Chen
Summary of Colour and Brush Stroke Pattern Recognition in Abstract Art Using Modified Deep Convolutional Generative Adversarial Networks, by Srinitish Srinivasan et al.
Summary of An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a Vlm, by Wonkyun Kim et al.
Summary of The Topos Of Transformer Networks, by Mattia Jacopo Villani and Peter Mcburney
Summary of On Spectrogram Analysis in a Multiple Classifier Fusion Framework For Power Grid Classification Using Electric Network Frequency, by Georgios Tzolopoulos et al.
Summary of Ae Semrl: Learning Semantic Association Rules with Autoencoders, by Erkan Karabulut et al.
Summary of Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-based Approach with Novel Metrics, by Jane Downer et al.
Summary of Oh! We Freeze: Improving Quantized Knowledge Distillation Via Signal Propagation Analysis For Large Language Models, by Kartikeya Bhardwaj et al.
Summary of Herta: a High-efficiency and Rigorous Training Algorithm For Unfolded Graph Neural Networks, by Yongyi Yang et al.
Summary of Divide, Conquer, Combine Bayesian Decision Tree Sampling, by Jodie A. Cochrane et al.
Summary of Mistake, Manipulation and Margin Guarantees in Online Strategic Classification, by Lingqing Shen et al.
Summary of Compression Of the Koopman Matrix For Nonlinear Physical Models Via Hierarchical Clustering, by Tomoya Nishikata and Jun Ohkubo
Summary of Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples, By Ao Zhou et al.
Summary of Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness For Multi-label Chest X-ray Classification Using Social Determinants Of Racial Health Inequities, by Dana Moukheiber et al.
Summary of Long and Short-term Constraints Driven Safe Reinforcement Learning For Autonomous Driving, by Xuemin Hu et al.
Summary of Neuropictor: Refining Fmri-to-image Reconstruction Via Multi-individual Pretraining and Multi-level Modulation, by Jingyang Huo et al.
Summary of Minimax Optimal Fair Classification with Bounded Demographic Disparity, by Xianli Zeng et al.
Summary of From Two-dimensional to Three-dimensional Environment with Q-learning: Modeling Autonomous Navigation with Reinforcement Learning and No Libraries, by Ergon Cugler De Moraes Silva
Summary of Neusdfusion: a Spatial-aware Generative Model For 3d Shape Completion, Reconstruction, and Generation, by Ruikai Cui et al.
Summary of Fourier or Wavelet Bases As Counterpart Self-attention in Spikformer For Efficient Visual Classification, by Qingyu Wang et al.
Summary of Beyond Embeddings: the Promise Of Visual Table in Visual Reasoning, by Yiwu Zhong et al.
Summary of Branch-tuning: Balancing Stability and Plasticity For Continual Self-supervised Learning, by Wenzhuo Liu et al.
Summary of Clustering Change Sign Detection by Fusing Mixture Complexity, By Kento Urano et al.
Summary of Dsf-gan: Downstream Feedback Generative Adversarial Network, by Oriel Perets et al.
Summary of Few-shot Recalibration Of Language Models, by Xiang Lisa Li and Urvashi Khandelwal and Kelvin Guu
Summary of The Need For Speed: Pruning Transformers with One Recipe, by Samir Khaki and Konstantinos N. Plataniotis
Summary of Mixing Artificial and Natural Intelligence: From Statistical Mechanics to Ai and Back to Turbulence, by Michael Chertkov
Summary of Sort & Slice: a Simple and Superior Alternative to Hash-based Folding For Extended-connectivity Fingerprints, by Markus Dablander et al.
Summary of Solution For Point Tracking Task Of Iccv 1st Perception Test Challenge 2023, by Hongpeng Pan et al.
Summary of Semi-supervised Image Captioning Considering Wasserstein Graph Matching, by Yang Yang
Summary of Dore: a Dataset For Portuguese Definition Generation, by Anna Beatriz Dimas Furtado et al.
Summary of Improving Pre-trained Language Model Sensitivity Via Mask Specific Losses: a Case Study on Biomedical Ner, by Micheal Abaho et al.
Summary of Bidirectional Consistency Models, by Liangchen Li and Jiajun He
Summary of Predicting Species Occurrence Patterns From Partial Observations, by Hager Radi Abdelwahed et al.
Summary of Heracles: a Hybrid Ssm-transformer Model For High-resolution Image and Time-series Analysis, by Badri N. Patro et al.
Summary of Driving Intelligent Iot Monitoring and Control Through Cloud Computing and Machine Learning, by Hanzhe Li et al.
Summary of State Of the Art Applications Of Deep Learning Within Tracking and Detecting Marine Debris: a Survey, by Zoe Moorton et al.
Summary of A Personalized Video-based Hand Taxonomy: Application For Individuals with Spinal Cord Injury, by Mehdy Dousty et al.
Summary of Towards Explainable Clustering: a Constrained Declarative Based Approach, by Mathieu Guilbert et al.
Summary of Tutorial on Diffusion Models For Imaging and Vision, by Stanley H. Chan
Summary of Mathematical Foundation and Corrections For Full Range Head Pose Estimation, by Huei-chung Hu et al.
Summary of Don’t Trust: Verify — Grounding Llm Quantitative Reasoning with Autoformalization, by Jin Peng Zhou et al.