Paper List

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Summary of Botracle: a Framework For Discriminating Bots and Humans, by Jan Kadel et al.
Summary of Gqwformer: a Quantum-based Transformer For Graph Representation Learning, by Lei Yu et al.
Summary of Step-by-step Guidance to Differential Anemia Diagnosis with Real-world Data and Deep Reinforcement Learning, by Lillian Muyama et al.
Summary of Geometry-aware Pinns For Turbulent Flow Prediction, by Shinjan Ghosh et al.
Summary of Fgatt: a Robust Framework For Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders, by Jinming Xing et al.
Summary of Free Process Rewards Without Process Labels, by Lifan Yuan et al.
Summary of Smart Parking with Pixel-wise Roi Selection For Vehicle Detection Using Yolov8, Yolov9, Yolov10, and Yolov11, by Gustavo P. C. P. Da Luz et al.
Summary of Generalized Extra Stochastic Gradient Langevin Dynamics, by Mert Gurbuzbalaban et al.
Summary of Who’s Gaming the System? a Causally-motivated Approach For Detecting Strategic Adaptation, by Trenton Chang et al.
Summary of Explore Reinforced: Equilibrium Approximation with Reinforcement Learning, by Ryan Yu et al.
Summary of Learning Ensembles Of Vision-based Safety Control Filters, by Ihab Tabbara et al.
Summary of Mutli-view 3d Reconstruction Using Knowledge Distillation, by Aditya Dutt et al.
Summary of Comparative Analysis Of Multi-agent Reinforcement Learning Policies For Crop Planning Decision Support, by Anubha Mahajan et al.
Summary of Gnn-based Auto-encoder For Short Linear Block Codes: a Drl Approach, by Kou Tian et al.
Summary of Predicting the Impact Of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques, by Soheila Sadeghi
Summary of Offline Stochastic Optimization Of Black-box Objective Functions, by Juncheng Dong et al.
Summary of Mep-net: Generating Solutions to Scientific Problems with Limited Knowledge by Maximum Entropy Principle, By Wuyue Yang et al.
Summary of The Problem Of Social Cost in Multi-agent General Reinforcement Learning: Survey and Synthesis, by Kee Siong Ng et al.
Summary of Crash Severity Risk Modeling Strategies Under Data Imbalance, by Abdullah Al Mamun (1) et al.
Summary of Beyond Tree Models: a Hybrid Model Of Kan and Gmlp For Large-scale Financial Tabular Data, by Mingming Zhang et al.
Summary of Ilash: a Predictive Neural Architecture Search Framework For Multi-task Applications, by Md Hafizur Rahman et al.
Summary of Understanding Particles From Video: Property Estimation Of Granular Materials Via Visuo-haptic Learning, by Zeqing Zhang et al.
Summary of Revisiting the Initial Steps in Adaptive Gradient Descent Optimization, by Abulikemu Abuduweili and Changliu Liu
Summary of Gradient-free Generation For Hard-constrained Systems, by Chaoran Cheng et al.
Summary of From Chebnet to Chebgibbsnet, by Jie Zhang et al.
Summary of Cosmos: Cross-modality Self-distillation For Vision Language Pre-training, by Sanghwan Kim et al.
Summary of Efficient Semantic Communication Through Transformer-aided Compression, by Matin Mortaheb and Mohammad A. Amir Khojastepour and Sennur Ulukus
Summary of Explainable Artificial Intelligence For Medical Applications: a Review, by Qiyang Sun et al.
Summary of X-prompt: Towards Universal In-context Image Generation in Auto-regressive Vision Language Foundation Models, by Zeyi Sun et al.
Summary of Towards Data-centric Machine Learning on Directed Graphs: a Survey, by Henan Sun et al.
Summary of Learning Aggregation Rules in Participatory Budgeting: a Data-driven Approach, by Roy Fairstein et al.
Summary of Composition Of Experts: a Modular Compound Ai System Leveraging Large Language Models, by Swayambhoo Jain et al.
Summary of Planning From Imagination: Episodic Simulation and Episodic Memory For Vision-and-language Navigation, by Yiyuan Pan et al.
Summary of Understanding Bias in Large-scale Visual Datasets, by Boya Zeng et al.
Summary of Malt: Improving Reasoning with Multi-agent Llm Training, by Sumeet Ramesh Motwani et al.
Summary of Beyond Pairwise Correlations: Higher-order Redundancies in Self-supervised Representation Learning, by David Zollikofer et al.
Summary of Ecg-sleepnet: Deep Learning-based Comprehensive Sleep Stage Classification Using Ecg Signals, by Poorya Aghaomidi et al.
Summary of Cross Domain Adaptation Using Adversarial Networks with Cyclic Loss, by Manpreet Kaur et al.
Summary of A Novel Generative Multi-task Representation Learning Approach For Predicting Postoperative Complications in Cardiac Surgery Patients, by Junbo Shen et al.
Summary of Kernel-free Universum Quadratic Surface Twin Support Vector Machines For Imbalanced Data, by Hossein Moosaei et al.
Summary of Down with the Hierarchy: the ‘h’ in Hnsw Stands For “hubs”, by Blaise Munyampirwa et al.
Summary of Self-improvement in Language Models: the Sharpening Mechanism, by Audrey Huang et al.
Summary of The Landscape Of Causal Discovery Data: Grounding Causal Discovery in Real-world Applications, by Philippe Brouillard et al.
Summary of Consistentfeature: a Plug-and-play Component For Neural Network Regularization, by Ruizhe Jiang et al.
Summary of Rad: a Metric For Medical Image Distribution Comparison in Out-of-domain Detection and Other Applications, by Nicholas Konz et al.
Summary of Adversarial Attacks on Hyperbolic Networks, by Max Van Spengler et al.
Summary of Scaling Law For Language Models Training Considering Batch Size, by Xian Shuai et al.
Summary of Effectiveness Of L2 Regularization in Privacy-preserving Machine Learning, by Nikolaos Chandrinos (1) et al.
Summary of Rehub: Linear Complexity Graph Transformers with Adaptive Hub-spoke Reassignment, by Tomer Borreda et al.
Summary of How Much Can Time-related Features Enhance Time Series Forecasting?, by Chaolv Zeng et al.
Summary of Multi-objective Deep Learning: Taxonomy and Survey Of the State Of the Art, by Sebastian Peitz and Sedjro Salomon Hotegni
Summary of Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numerics, by Kang Liu and Enrique Zuazua
Summary of Tokenizing 3d Molecule Structure with Quantized Spherical Coordinates, by Kaiyuan Gao et al.
Summary of Review Of Mathematical Optimization in Federated Learning, by Shusen Yang and Fangyuan Zhao and Zihao Zhou and Liang Shi and Xuebin Ren and Zongben Xu
Summary of Fsmlp: Modelling Channel Dependencies with Simplex Theory Based Multi-layer Perceptions in Frequency Domain, by Zhengnan Li et al.
Summary of Are We There Yet? Revealing the Risks Of Utilizing Large Language Models in Scholarly Peer Review, by Rui Ye et al.
Summary of Causal Discovery by Interventions Via Integer Programming, By Abdelmonem Elrefaey et al.
Summary of Automated Toll Management System Using Rfid and Image Processing, by Raihan Ahmed et al.
Summary of Bluetooth Low Energy Dataset Using In-phase and Quadrature Samples For Indoor Localization, by Samuel G. Leitch et al.
Summary of Structure-guided Input Graph For Gnns Facing Heterophily, by Victor M. Tenorio et al.
Summary of Cbol-tuner: Classifier-pruned Bayesian Optimization to Explore Temporally Structured Latent Spaces For Particle Accelerator Tuning, by Mahindra Rautela et al.
Summary of Ferero: a Flexible Framework For Preference-guided Multi-objective Learning, by Lisha Chen et al.
Summary of Pretrained Reversible Generation As Unsupervised Visual Representation Learning, by Rongkun Xue et al.
Summary of Explainable Fault and Severity Classification For Rolling Element Bearings Using Kolmogorov-arnold Networks, by Spyros Rigas et al.
Summary of A Versatile Influence Function For Data Attribution with Non-decomposable Loss, by Junwei Deng et al.
Summary of Negative Token Merging: Image-based Adversarial Feature Guidance, by Jaskirat Singh et al.
Summary of Hierarchical Object-oriented Pomdp Planning For Object Rearrangement, by Rajesh Mangannavar et al.
Summary of Practical Performative Policy Learning with Strategic Agents, by Qianyi Chen et al.
Summary of Explaining the Unexplained: Revealing Hidden Correlations For Better Interpretability, by Wen-dong Jiang et al.
Summary of Behavior Backdoor For Deep Learning Models, by Jiakai Wang et al.
Summary of An Overview Of Diffusion Models For Generative Artificial Intelligence, by Davide Gallon et al.
Summary of Hierarchical Vae with a Diffusion-based Vampprior, by Anna Kuzina et al.
Summary of Convolutional Transformer Neural Collaborative Filtering, by Pang Li et al.
Summary of Efficient Llm Inference Using Dynamic Input Pruning and Cache-aware Masking, by Marco Federici et al.
Summary of Second Frcsyn-ongoing: Winning Solutions and Post-challenge Analysis to Improve Face Recognition with Synthetic Data, by Ivan Deandres-tame et al.
Summary of A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems, by Pang Li et al.
Summary of Harnessing Preference Optimisation in Protein Lms For Hit Maturation in Cell Therapy, by Katarzyna Janocha et al.
Summary of Refined Analysis Of Federated Averaging’s Bias and Federated Richardson-romberg Extrapolation, by Paul Mangold et al.
Summary of Fire-image-densenet (fidn) For Predicting Wildfire Burnt Area Using Remote Sensing Data, by Bo Pang et al.
Summary of Csp-ait-net: a Contrastive Learning-enhanced Spatiotemporal Graph Attention Framework For Short-term Metro Od Flow Prediction with Asynchronous Inflow Tracking, by Yichen Wang et al.
Summary of Machine Learning Analysis Of Anomalous Diffusion, by Wenjie Cai et al.
Summary of Task Adaptation Of Reinforcement Learning-based Nas Agents Through Transfer Learning, by Amber Cassimon et al.
Summary of Lmact: a Benchmark For In-context Imitation Learning with Long Multimodal Demonstrations, by Anian Ruoss et al.
Summary of Cross-task Inconsistency Based Active Learning (ctial) For Emotion Recognition, by Yifan Xu et al.
Summary of Humekafl: Automated Detection Of Neonatal Asphyxia Using Federated Learning, by Pamely Zantou et al.
Summary of Rectified Flow For Structure Based Drug Design, by Daiheng Zhang and Chengyue Gong and Qiang Liu
Summary of Superhypergraph Neural Networks and Plithogenic Graph Neural Networks: Theoretical Foundations, by Takaaki Fujita
Summary of Divergent Ensemble Networks: Enhancing Uncertainty Estimation with Shared Representations and Independent Branching, by Arnav Kharbanda and Advait Chandorkar
Summary of Tinyfusion: Diffusion Transformers Learned Shallow, by Gongfan Fang et al.
Summary of Neuron Abandoning Attention Flow: Visual Explanation Of Dynamics Inside Cnn Models, by Yi Liao et al.
Summary of Siamese Machine Unlearning with Knowledge Vaporization and Concentration, by Songjie Xie et al.
Summary of First Numerical Observation Of the Berezinskii-kosterlitz-thouless Transition in Language Models, by Yuma Toji et al.
Summary of Esurvfusion: An Evidential Multimodal Survival Fusion Model Based on Gaussian Random Fuzzy Numbers, by Ling Huang et al.
Summary of Fd-llm: Large Language Model For Fault Diagnosis Of Machines, by Hamzah A.a.m. Qaid et al.
Summary of Quantum Pointwise Convolution: a Flexible and Scalable Approach For Neural Network Enhancement, by An Ning et al.
Summary of Yi-lightning Technical Report, by Alan Wake et al.
Summary of Revisiting Generative Policies: a Simpler Reinforcement Learning Algorithmic Perspective, by Jinouwen Zhang et al.
Summary of Nlprompt: Noise-label Prompt Learning For Vision-language Models, by Bikang Pan et al.
Summary of Towards Robust Interpretable Surrogates For Optimization, by Marc Goerigk and Michael Hartisch and Sebastian Merten
Summary of Learning Smooth Distance Functions Via Queries, by Akash Kumar et al.