Paper List

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Summary of Selecting Walk Schemes For Database Embedding, by Yuval Lev Lubarsky et al.
Summary of Treemil: a Multi-instance Learning Framework For Time Series Anomaly Detection with Inexact Supervision, by Chen Liu et al.
Summary of Afs-bm: Enhancing Model Performance Through Adaptive Feature Selection with Binary Masking, by Mehmet Y. Turali et al.
Summary of Starlit: Privacy-preserving Federated Learning to Enhance Financial Fraud Detection, by Aydin Abadi et al.
Summary of Data Augmentation For Traffic Classification, by Chao Wang et al.
Summary of Measuring the Impact Of Scene Level Objects on Object Detection: Towards Quantitative Explanations Of Detection Decisions, by Lynn Vonder Haar et al.
Summary of Medusa: Simple Llm Inference Acceleration Framework with Multiple Decoding Heads, by Tianle Cai et al.
Summary of Early Alignment in Two-layer Networks Training Is a Two-edged Sword, by Etienne Boursier et al.
Summary of Deep Reinforcement Learning Empowered Activity-aware Dynamic Health Monitoring Systems, by Ziqiaing Ye et al.
Summary of Learning to Visually Connect Actions and Their Effects, by Paritosh Parmar et al.
Summary of Novel Representation Learning Technique Using Graphs For Performance Analytics, by Tarek Ramadan et al.
Summary of Neglected Hessian Component Explains Mysteries in Sharpness Regularization, by Yann N. Dauphin et al.
Summary of Simulation Based Bayesian Optimization, by Roi Naveiro et al.
Summary of Optimisation in Neurosymbolic Learning Systems, by Emile Van Krieken
Summary of Recent Advances in Named Entity Recognition: a Comprehensive Survey and Comparative Study, by Imed Keraghel and Stanislas Morbieu and Mohamed Nadif
Summary of Understanding Video Transformers Via Universal Concept Discovery, by Matthew Kowal et al.
Summary of Using Llms to Discover Emerging Coded Antisemitic Hate-speech in Extremist Social Media, by Dhanush Kikkisetti et al.
Summary of Pruning For Protection: Increasing Jailbreak Resistance in Aligned Llms Without Fine-tuning, by Adib Hasan et al.
Summary of Scenes: Subpixel Correspondence Estimation with Epipolar Supervision, by Dominik A. Kloepfer et al.
Summary of Ai in Supply Chain Risk Assessment: a Systematic Literature Review and Bibliometric Analysis, by Md Abrar Jahin et al.
Summary of Semidefinite Programming Relaxations and Debiasing For Maxcut-based Clustering, by Shuheng Zhou
Summary of One Step Learning, One Step Review, by Xiaolong Huang et al.
Summary of Even-if Explanations: Formal Foundations, Priorities and Complexity, by Gianvincenzo Alfano et al.
Summary of Generalization Error Guaranteed Auto-encoder-based Nonlinear Model Reduction For Operator Learning, by Hao Liu et al.
Summary of Spatial-temporal Forecasting For Regions Without Observations, by Xinyu Su and Jianzhong Qi and Egemen Tanin and Yanchuan Chang and Majid Sarvi
Summary of Mementos: a Comprehensive Benchmark For Multimodal Large Language Model Reasoning Over Image Sequences, by Xiyao Wang et al.
Summary of The “colonial Impulse” Of Natural Language Processing: An Audit Of Bengali Sentiment Analysis Tools and Their Identity-based Biases, by Dipto Das and Shion Guha and Jed Brubaker and Bryan Semaan
Summary of I-splitee: Image Classification in Split Computing Dnns with Early Exits, by Divya Jyoti Bajpai et al.
Summary of Phogad: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization, by Ziqi Yuan et al.
Summary of Unified View Imputation and Feature Selection Learning For Incomplete Multi-view Data, by Yanyong Huang et al.
Summary of Orchmoe: Efficient Multi-adapter Learning with Task-skill Synergy, by Haowen Wang et al.
Summary of Adversarial Robustness Of Link Sign Prediction in Signed Graphs, by Jialong Zhou et al.
Summary of Polytopic Autoencoders with Smooth Clustering For Reduced-order Modelling Of Flows, by Jan Heiland et al.
Summary of Area Modeling Using Stay Information For Large-scale Users and Analysis For Influence Of Covid-19, by Kazuyuki Shoji et al.
Summary of Interventional Fairness on Partially Known Causal Graphs: a Constrained Optimization Approach, by Aoqi Zuo et al.
Summary of A Comprehensive Survey on Deep-learning-based Vehicle Re-identification: Models, Data Sets and Challenges, by Ali Amiri et al.
Summary of Attentive Fusion: a Transformer-based Approach to Multimodal Hate Speech Detection, by Atanu Mandal et al.
Summary of Fimba: Evaluating the Robustness Of Ai in Genomics Via Feature Importance Adversarial Attacks, by Heorhii Skovorodnikov et al.
Summary of Towards End-to-end Gps Localization with Neural Pseudorange Correction, by Xu Weng et al.
Summary of Manipulating Sparse Double Descent, by Ya Shi Zhang
Summary of Beyond Rmse and Mae: Introducing Eauc to Unmask Hidden Bias and Unfairness in Dyadic Regression Models, by Jorge Paz-ruza et al.
Summary of Safe Offline Reinforcement Learning with Feasibility-guided Diffusion Model, by Yinan Zheng et al.
Summary of Classification with Neural Networks with Quadratic Decision Functions, by Leon Frischauf et al.
Summary of Hierarchical Federated Learning in Multi-hop Cluster-based Vanets, by M. Saeid Haghighifard and Sinem Coleri
Summary of Noise Contrastive Estimation-based Matching Framework For Low-resource Security Attack Pattern Recognition, by Tu Nguyen et al.
Summary of Using Llm Such As Chatgpt For Designing and Implementing a Risc Processor: Execution,challenges and Limitations, by Shadeeb Hossain et al.
Summary of Langevin Unlearning: a New Perspective Of Noisy Gradient Descent For Machine Unlearning, by Eli Chien et al.
Summary of Noninvasive Acute Compartment Syndrome Diagnosis Using Random Forest Machine Learning, by Zaina Abu Hweij et al.
Summary of Cooperative Multi-agent Graph Bandits: Ucb Algorithm and Regret Analysis, by Phevos Paschalidis et al.
Summary of Natural Mitigation Of Catastrophic Interference: Continual Learning in Power-law Learning Environments, by Atith Gandhi et al.
Summary of Distribution Consistency Based Self-training For Graph Neural Networks with Sparse Labels, by Fali Wang et al.
Summary of Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation, by Janvi Thakkar et al.
Summary of A2q+: Improving Accumulator-aware Weight Quantization, by Ian Colbert et al.
Summary of Path Choice Matters For Clear Attribution in Path Methods, by Borui Zhang et al.
Summary of Large Language Models Are Efficient Learners Of Noise-robust Speech Recognition, by Yuchen Hu et al.
Summary of Contrastive Unlearning: a Contrastive Approach to Machine Unlearning, by Hong Kyu Lee et al.
Summary of Investigating Training Strategies and Model Robustness Of Low-rank Adaptation For Language Modeling in Speech Recognition, by Yu Yu et al.
Summary of Critical Data Size Of Language Models From a Grokking Perspective, by Xuekai Zhu et al.
Summary of Ldreg: Local Dimensionality Regularized Self-supervised Learning, by Hanxun Huang et al.
Summary of Learning Backdoors For Mixed Integer Linear Programs with Contrastive Learning, by Junyang Cai et al.
Summary of Budgeted Online Model Selection and Fine-tuning Via Federated Learning, by Pouya M. Ghari et al.
Summary of Causal Layering Via Conditional Entropy, by Itai Feigenbaum et al.
Summary of Episodic Reinforcement Learning with Expanded State-reward Space, by Dayang Liang et al.
Summary of A Novel Hybrid Time-varying Graph Neural Network For Traffic Flow Forecasting, by Ben-ao Dai et al.
Summary of Comprehensive Ood Detection Improvements, by Anish Lakkapragada et al.
Summary of Transfer Learning in Human Activity Recognition: a Survey, by Sourish Gunesh Dhekane et al.
Summary of Chem-finese: Validating Fine-grained Few-shot Entity Extraction Through Text Reconstruction, by Qingyun Wang et al.
Summary of Improving Automatic Detection Of Driver Fatigue and Distraction Using Machine Learning, by Dongjiang Wu
Summary of Enabling Efficient Equivariant Operations in the Fourier Basis Via Gaunt Tensor Products, by Shengjie Luo et al.
Summary of Autoft: Learning An Objective For Robust Fine-tuning, by Caroline Choi et al.
Summary of Chatqa: Surpassing Gpt-4 on Conversational Qa and Rag, by Zihan Liu et al.
Summary of A Simple Latent Diffusion Approach For Panoptic Segmentation and Mask Inpainting, by Wouter Van Gansbeke et al.
Summary of Resolution Chromatography Of Diffusion Models, by Juno Hwang and Yong-hyun Park and Junghyo Jo
Summary of Beyond the Frame: Single and Mutilple Video Summarization Method with User-defined Length, by Vahid Ahmadi Kalkhorani et al.
Summary of Null Space Properties Of Neural Networks with Applications to Image Steganography, by Xiang Li et al.
Summary of Intelligent Condition Monitoring Of Industrial Plants: An Overview Of Methodologies and Uncertainty Management Strategies, by Maryam Ahang et al.
Summary of Open-source Fermionic Neural Networks with Ionic Charge Initialization, by Shai Pranesh et al.
Summary of Clan: a Contrastive Learning Based Novelty Detection Framework For Human Activity Recognition, by Hyunju Kim and Dongman Lee
Summary of Early Prediction Of Geomagnetic Storms by Machine Learning Algorithms, By Iris Yan
Summary of An Attempt to Generate New Bridge Types From Latent Space Of Generative Flow, by Hongjun Zhang
Summary of On the Readiness Of Scientific Data For a Fair and Transparent Use in Machine Learning, by Joan Giner-miguelez et al.
Summary of Mathematical Algorithm Design For Deep Learning Under Societal and Judicial Constraints: the Algorithmic Transparency Requirement, by Holger Boche et al.
Summary of Melody: Robust Semi-supervised Hybrid Model For Entity-level Online Anomaly Detection with Multivariate Time Series, by Jingchao Ni et al.
Summary of Patchad: a Lightweight Patch-based Mlp-mixer For Time Series Anomaly Detection, by Zhijie Zhong et al.
Summary of Improving Fine-grained Understanding in Image-text Pre-training, by Ioana Bica et al.
Summary of Reconciling Spatial and Temporal Abstractions For Goal Representation, by Mehdi Zadem et al.
Summary of Ga-smaat-gnet: Generative Adversarial Small Attention Gnet For Extreme Precipitation Nowcasting, by Eloy Reulen et al.
Summary of Cooperative Edge Caching Based on Elastic Federated and Multi-agent Deep Reinforcement Learning in Next-generation Network, by Qiong Wu et al.
Summary of Enabling On-device Continual Learning with Binary Neural Networks, by Lorenzo Vorabbi et al.
Summary of Probabilistic Truly Unordered Rule Sets, by Lincen Yang et al.
Summary of Biases in Expected Goals Models Confound Finishing Ability, by Jesse Davis and Pieter Robberechts
Summary of Infinite-horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation, by Ruizhe Zhang et al.
Summary of Windseer: Real-time Volumetric Wind Prediction Over Complex Terrain Aboard a Small Uav, by Florian Achermann et al.
Summary of Hgattack: Transferable Heterogeneous Graph Adversarial Attack, by He Zhao et al.
Summary of Symbolnet: Neural Symbolic Regression with Adaptive Dynamic Pruning For Compression, by Ho Fung Tsoi et al.
Summary of Through the Dual-prism: a Spectral Perspective on Graph Data Augmentation For Graph Classification, by Yutong Xia et al.
Summary of False Discovery Rate Control For Gaussian Graphical Models Via Neighborhood Screening, by Taulant Koka et al.
Summary of Developing An Ai-based Integrated System For Bee Health Evaluation, by Andrew Liang
Summary of Optimizing Medication Decisions For Patients with Atrial Fibrillation Through Path Development Network, by Tian Xie
Summary of Improving Local Training in Federated Learning Via Temperature Scaling, by Kichang Lee et al.