Paper List

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Summary of Incidentnet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing, by Sai Shashank Peddiraju et al.
Summary of Adaptive Two-stage Cloud Resource Scaling Via Hierarchical Multi-indicator Forecasting and Bayesian Decision-making, by Yang Luo et al.
Summary of Enhancing Financial Market Predictions: Causality-driven Feature Selection, by Wenhao Liang et al.
Summary of Alpha-vi Deeponet: a Prior-robust Variational Bayesian Approach For Enhancing Deeponets with Uncertainty Quantification, by Soban Nasir Lone and Subhayan De and Rajdip Nayek
Summary of Accelerating Full Waveform Inversion by Transfer Learning, By Divya Shyam Singh et al.
Summary of Granular-balls Based Fuzzy Twin Support Vector Machine For Classification, by Lixi Zhao et al.
Summary of You Can’t Ignore Either: Unifying Structure and Feature Denoising For Robust Graph Learning, by Tianmeng Yang et al.
Summary of Point-supervised Brain Tumor Segmentation with Box-prompted Medsam, by Xiaofeng Liu et al.
Summary of Synthetic Dual Image Generation For Reduction Of Labeling Efforts in Semantic Segmentation Of Micrographs with a Customized Metric Function, by Matias Oscar Volman Stern et al.
Summary of Reinforcement Learning Applied to Insurance Portfolio Pursuit, by Edward James Young et al.
Summary of Sam 2: Segment Anything in Images and Videos, by Nikhila Ravi et al.
Summary of A Natural Language Processing Framework For Hotel Recommendation Based on Users’ Text Reviews, by Lavrentia Aravani et al.
Summary of Cert-ed: Certifiably Robust Text Classification For Edit Distance, by Zhuoqun Huang et al.
Summary of Leaf Angle Estimation Using Mask R-cnn and Letr Vision Transformer, by Venkat Margapuri et al.
Summary of Coarse Correspondences Boost Spatial-temporal Reasoning in Multimodal Language Model, by Benlin Liu et al.
Summary of Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature Of Attention, by Susung Hong
Summary of Tamper-resistant Safeguards For Open-weight Llms, by Rishub Tamirisa et al.
Summary of Agentgen: Enhancing Planning Abilities For Large Language Model Based Agent Via Environment and Task Generation, by Mengkang Hu et al.
Summary of Dilated Convolution Neural Operator For Multiscale Partial Differential Equations, by Bo Xu et al.
Summary of Learning Structurally Stabilized Representations For Multi-modal Lossless Dna Storage, by Ben Cao et al.
Summary of A Scalable and Generalized Deep Learning Framework For Anomaly Detection in Surveillance Videos, by Sabah Abdulazeez Jebur et al.
Summary of Adaptive Traffic Signal Safety and Efficiency Improvement by Multi Objective Deep Reinforcement Learning Approach, By Shahin Mirbakhsh et al.
Summary of Calibrating Bayesian Generative Machine Learning For Bayesiamplification, by Sebastian Bieringer et al.
Summary of Unsupervised Pairwise Causal Discovery on Heterogeneous Data Using Mutual Information Measures, by Alexandre Trilla et al.
Summary of Reenact Anything: Semantic Video Motion Transfer Using Motion-textual Inversion, by Manuel Kansy et al.
Summary of A Systematic Review on Long-tailed Learning, by Chongsheng Zhang et al.
Summary of Graph Representation Learning Via Causal Diffusion For Out-of-distribution Recommendation, by Chu Zhao et al.
Summary of Block-operations: Using Modular Routing to Improve Compositional Generalization, by Florian Dietz et al.
Summary of Vecaug: Unveiling Camouflaged Frauds with Cohort Augmentation For Enhanced Detection, by Fei Xiao et al.
Summary of Low-power Vibration-based Predictive Maintenance For Industry 4.0 Using Neural Networks: a Survey, by Alexandru Vasilache et al.
Summary of Hilbert Curves For Efficient Exploratory Landscape Analysis Neighbourhood Sampling, by Johannes J. Pienaar et al.
Summary of Learning to Embed Distributions Via Maximum Kernel Entropy, by Oleksii Kachaiev et al.
Summary of Resi: a Comprehensive Benchmark For Representational Similarity Measures, by Max Klabunde et al.
Summary of Convergence Analysis Of Natural Gradient Descent For Over-parameterized Physics-informed Neural Networks, by Xianliang Xu et al.
Summary of Autopv: Automatically Design Your Photovoltaic Power Forecasting Model, by Dayin Chen et al.
Summary of Unlocking Fair Use in the Generative Ai Supply Chain: a Systematized Literature Review, by Amruta Mahuli et al.
Summary of Privacy-preserving Datasets by Capturing Feature Distributions with Conditional Vaes, By Francesco Di Salvo and David Tafler and Sebastian Doerrich and Christian Ledig
Summary of Enhancing Ethereum Fraud Detection Via Generative and Contrastive Self-supervision, by Chenxiang Jin et al.
Summary of Enhancing Multistep Prediction Of Multivariate Market Indices Using Weighted Optical Reservoir Computing, by Fang Wang and Ting Bu and Yuping Huang
Summary of Disentangling Dense Embeddings with Sparse Autoencoders, by Charles O’neill et al.
Summary of An Effect Analysis Of the Balancing Techniques on the Counterfactual Explanations Of Student Success Prediction Models, by Mustafa Cavus and Jakub Kuzilek
Summary of Autom3l: An Automated Multimodal Machine Learning Framework with Large Language Models, by Daqin Luo et al.
Summary of Aligning Multiple Knowledge Graphs in a Single Pass, by Yaming Yang et al.
Summary of Mobility-aware Federated Self-supervised Learning in Vehicular Network, by Xueying Gu et al.
Summary of Discovering Car-following Dynamics From Trajectory Data Through Deep Learning, by Ohay Angah et al.
Summary of Clover-2: Accurate Inference For Regressive Lightweight Speculative Decoding, by Bin Xiao et al.
Summary of High Performance Im2win and Direct Convolutions Using Three Tensor Layouts on Simd Architectures, by Xiang Fu et al.
Summary of Gradient Harmonization in Unsupervised Domain Adaptation, by Fuxiang Huang et al.
Summary of Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck, by Yuntao Shou et al.
Summary of Discretizing Continuous Action Space with Unimodal Probability Distributions For On-policy Reinforcement Learning, by Yuanyang Zhu et al.
Summary of Online Linear Programming with Batching, by Haoran Xu et al.
Summary of Abc Align: Large Language Model Alignment For Safety & Accuracy, by Gareth Seneque et al.
Summary of Adbm: Adversarial Diffusion Bridge Model For Reliable Adversarial Purification, by Xiao Li et al.
Summary of Exploiting Preferences in Loss Functions For Sequential Recommendation Via Weak Transitivity, by Hyunsoo Chung et al.
Summary of Otad: An Optimal Transport-induced Robust Model For Agnostic Adversarial Attack, by Kuo Gai et al.
Summary of “patriarchy Hurts Men Too.” Does Your Model Agree? a Discussion on Fairness Assumptions, by Marco Favier and Toon Calders
Summary of Neural Graph Matching For Video Retrieval in Large-scale Video-driven E-commerce, by Houye Ji et al.
Summary of Memorization Capacity For Additive Fine-tuning with Small Relu Networks, by Jy-yong Sohn et al.
Summary of On the Limitations and Prospects Of Machine Unlearning For Generative Ai, by Shiji Zhou et al.
Summary of Exaonepath 1.0 Patch-level Foundation Model For Pathology, by Juseung Yun et al.
Summary of Conformal Trajectory Prediction with Multi-view Data Integration in Cooperative Driving, by Xi Chen et al.
Summary of What Comes After Transformers? — a Selective Survey Connecting Ideas in Deep Learning, by Johannes Schneider
Summary of A Cross-domain Benchmark For Active Learning, by Thorben Werner et al.
Summary of Vision-language Model Based Handwriting Verification, by Mihir Chauhan et al.
Summary of Safetywashing: Do Ai Safety Benchmarks Actually Measure Safety Progress?, by Richard Ren et al.
Summary of On the Perturbed States For Transformed Input-robust Reinforcement Learning, by Tung M. Luu et al.
Summary of A New Type Of Foundation Model Based on Recordings Of People’s Emotions and Physiology, by David Gamez et al.
Summary of Generalized Out-of-distribution Detection and Beyond in Vision Language Model Era: a Survey, by Atsuyuki Miyai et al.
Summary of Algorithms For Collaborative Machine Learning Under Statistical Heterogeneity, by Seok-ju Hahn
Summary of Temporal Subspace Clustering For Molecular Dynamics Data, by Anna Beer et al.
Summary of Adaptive Transit Signal Priority Based on Deep Reinforcement Learning and Connected Vehicles in a Traffic Microsimulation Environment, by Dickness Kwesiga et al.
Summary of Distributionally Robust Optimization As a Scalable Framework to Characterize Extreme Value Distributions, by Patrick Kuiper et al.
Summary of Measuring Progress in Dictionary Learning For Language Model Interpretability with Board Game Models, by Adam Karvonen et al.
Summary of Certifying Robustness Of Learning-based Keypoint Detection and Pose Estimation Methods, by Xusheng Luo et al.
Summary of Generative Learning Of the Solution Of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations, by Han Gao et al.
Summary of Automatic Generation Of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting, by Ying Li et al.
Summary of Non-convolutional Graph Neural Networks, by Yuanqing Wang et al.
Summary of Penzai + Treescope: a Toolkit For Interpreting, Visualizing, and Editing Models As Data, by Daniel D. Johnson
Summary of Unpast: Unsupervised Patient Stratification by Differentially Expressed Biclusters in Omics Data, By Michael Hartung et al.
Summary of Load Balancing in Federated Learning, by Alireza Javani and Zhiying Wang
Summary of Omniparser For Pure Vision Based Gui Agent, by Yadong Lu et al.
Summary of Empirical Bayes Linked Matrix Decomposition, by Eric F. Lock
Summary of Enhanced Structured State Space Models Via Grouped Fir Filtering and Attention Sink Mechanisms, by Tian Meng et al.
Summary of Probabilistic Scoring Lists For Interpretable Machine Learning, by Jonas Hanselle et al.
Summary of Black Box Meta-learning Intrinsic Rewards For Sparse-reward Environments, by Octavio Pappalardo et al.
Summary of Cxsimulator: a User Behavior Simulation Using Llm Embeddings For Web-marketing Campaign Assessment, by Akira Kasuga et al.
Summary of Measuring What Matters: Intrinsic Distance Preservation As a Robust Metric For Embedding Quality, by Steven N. Hart and Thomas E. Tavolara
Summary of Higher Order Quantum Reservoir Computing For Non-intrusive Reduced-order Models, by Vinamr Jain and Romit Maulik
Summary of Extended Fiducial Inference: Toward An Automated Process Of Statistical Inference, by Faming Liang et al.
Summary of Lyapunov Weights to Convey the Meaning Of Time in Physics-informed Neural Networks, by Gabriel Turinici
Summary of Mart: Multiscale Relational Transformer Networks For Multi-agent Trajectory Prediction, by Seongju Lee et al.
Summary of Spatial Transformer Network Yolo Model For Agricultural Object Detection, by Yash Zambre et al.
Summary of Comgra: a Tool For Analyzing and Debugging Neural Networks, by Florian Dietz et al.
Summary of Synth-empathy: Towards High-quality Synthetic Empathy Data, by Hao Liang et al.
Summary of An Explainable Vision Transformer with Transfer Learning Combined with Support Vector Machine Based Efficient Drought Stress Identification, by Aswini Kumar Patra et al.
Summary of Dynamic Universal Approximation Theory: Foundations For Parallelism in Neural Networks, by Wei Wang et al.
Summary of Social Learning Through Interactions with Other Agents: a Survey, by Dylan Hillier et al.
Summary of A Federated Learning-friendly Approach For Parameter-efficient Fine-tuning Of Sam in 3d Segmentation, by Mothilal Asokan et al.
Summary of Hgoe: Hybrid External and Internal Graph Outlier Exposure For Graph Out-of-distribution Detection, by Junwei He et al.
Summary of Moma: Efficient Early-fusion Pre-training with Mixture Of Modality-aware Experts, by Xi Victoria Lin and Akshat Shrivastava and Liang Luo and Srinivasan Iyer and Mike Lewis and Gargi Ghosh and Luke Zettlemoyer and Armen Aghajanyan