Paper List

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Summary of Graph Neural Networks on Graph Databases, by Dmytro Lopushanskyy et al.
Summary of Bridging the Resource Gap: Deploying Advanced Imitation Learning Models Onto Affordable Embedded Platforms, by Haizhou Ge et al.
Summary of The Geco Algorithm For Graph Neural Networks Explanation, by Salvatore Calderaro et al.
Summary of Different Horses For Different Courses: Comparing Bias Mitigation Algorithms in Ml, by Prakhar Ganesh et al.
Summary of Variational Bayesian Bow Tie Neural Networks with Shrinkage, by Alisa Sheinkman and Sara Wade
Summary of From Primes to Paths: Enabling Fast Multi-relational Graph Analysis, by Konstantinos Bougiatiotis and Georgios Paliouras
Summary of Clmia: Membership Inference Attacks Via Unsupervised Contrastive Learning, by Depeng Chen et al.
Summary of Tabdeco: a Comprehensive Contrastive Framework For Decoupled Representations in Tabular Data, by Suiyao Chen et al.
Summary of Mplite: Multi-aspect Pretraining For Mining Clinical Health Records, by Eric Yang et al.
Summary of Rpn 2: on Interdependence Function Learning Towards Unifying and Advancing Cnn, Rnn, Gnn, and Transformer, by Jiawei Zhang
Summary of Learning the Sherrington-kirkpatrick Model Even at Low Temperature, by Gautam Chandrasekaran and Adam Klivans
Summary of Infinite Width Limits Of Self Supervised Neural Networks, by Maximilian Fleissner et al.
Summary of Amago-2: Breaking the Multi-task Barrier in Meta-reinforcement Learning with Transformers, by Jake Grigsby et al.
Summary of Pickscan: Object Discovery and Reconstruction From Handheld Interactions, by Vincent Van Der Brugge et al.
Summary of Stealing Training Graphs From Graph Neural Networks, by Minhua Lin et al.
Summary of Debiasing Watermarks For Large Language Models Via Maximal Coupling, by Yangxinyu Xie et al.
Summary of Capturing Sparks Of Abstraction For the Arc Challenge, by Martin Andrews
Summary of Reliable Learning Of Halfspaces Under Gaussian Marginals, by Ilias Diakonikolas et al.
Summary of Making Sigmoid-mse Great Again: Output Reset Challenges Softmax Cross-entropy in Neural Network Classification, by Kanishka Tyagi et al.
Summary of Don’t Be So Positive: Negative Step Sizes in Second-order Methods, by Betty Shea and Mark Schmidt
Summary of Noise Filtering Benchmark For Neuromorphic Satellites Observations, by Sami Arja et al.
Summary of Mirror Descent on Reproducing Kernel Banach Spaces, by Akash Kumar et al.
Summary of Progressive Generalization Risk Reduction For Data-efficient Causal Effect Estimation, by Hechuan Wen et al.
Summary of Bangladialecto: An End-to-end Ai-powered Regional Speech Standardization, by Md. Nazmus Sadat Samin et al.
Summary of Neuc-mds: Non-euclidean Multidimensional Scaling Through Bilinear Forms, by Chengyuan Deng et al.
Summary of Targeting Negative Flips in Active Learning Using Validation Sets, by Ryan Benkert et al.
Summary of Efficient, Low-regret, Online Reinforcement Learning For Linear Mdps, by Philips George John et al.
Summary of Generating Compositional Scenes Via Text-to-image Rgba Instance Generation, by Alessandro Fontanella et al.
Summary of Bias in Large Language Models: Origin, Evaluation, and Mitigation, by Yufei Guo et al.
Summary of Multi-modal Self-supervised Learning For Surgical Feedback Effectiveness Assessment, by Arushi Gupta et al.
Summary of Distributed Solar Generation Forecasting Using Attention-based Deep Neural Networks For Cloud Movement Prediction, by Maneesha Perera et al.
Summary of Constrained Diffusion with Trust Sampling, by William Huang et al.
Summary of Towards Accurate and Efficient Sub-8-bit Integer Training, by Wenjin Guo et al.
Summary of Impact Gnn: Imposing Invariance with Message Passing in Chronological Split Temporal Graphs, by Sejun Park et al.
Summary of Towards a Framework on Tabular Synthetic Data Generation: a Minimalist Approach: Theory, Use Cases, and Limitations, by Yueyang Shen et al.
Summary of Sageattention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread Int4 Quantization, by Jintao Zhang et al.
Summary of Training a Label-noise-resistant Gnn with Reduced Complexity, by Rui Zhao et al.
Summary of Efqat: An Efficient Framework For Quantization-aware Training, by Saleh Ashkboos et al.
Summary of Feduhb: Accelerating Federated Unlearning Via Polyak Heavy Ball Method, by Yu Jiang et al.
Summary of Knowledge-enhanced Transformer For Multivariate Long Sequence Time-series Forecasting, by Shubham Tanaji Kakde et al.
Summary of Generating Medical Screening Questionnaires Through Analysis Of Social Media Data, by Ortal Ashkenazi et al.
Summary of An Investigation Of Offline Reinforcement Learning in Factorisable Action Spaces, by Alex Beeson et al.
Summary of Mitigating Relative Over-generalization in Multi-agent Reinforcement Learning, by Ting Zhu et al.
Summary of Helene: Hessian Layer-wise Clipping and Gradient Annealing For Accelerating Fine-tuning Llm with Zeroth-order Optimization, by Huaqin Zhao et al.
Summary of Diffusion-based Layer-wise Semantic Reconstruction For Unsupervised Out-of-distribution Detection, by Ying Yang et al.
Summary of A Regularized Lstm Method For Detecting Fake News Articles, by Tanjina Sultana Camelia et al.
Summary of Multi Scale Graph Neural Network For Alzheimer’s Disease, by Anya Chauhan et al.
Summary of Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation For Glucose Forecasting, by Ebrahim Farahmand et al.
Summary of Flowscope: Enhancing Decision Making by Time Series Forecasting Based on Prediction Optimization Using Hybridflow Forecast Framework, By Nitin Sagar Boyeena et al.
Summary of On-device Anomaly Detection in Conveyor Belt Operations, by Luciano S. Martinez-rau et al.
Summary of Metala: Unified Optimal Linear Approximation to Softmax Attention Map, by Yuhong Chou et al.
Summary of Integrated Machine Learning and Survival Analysis Modeling For Enhanced Chronic Kidney Disease Risk Stratification, by Zachary Dana et al.
Summary of Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-term Memory Variational Autoencoder, by Weiming Xu and Peng Zhang
Summary of Bag Of Design Choices For Inference Of High-resolution Masked Generative Transformer, by Shitong Shao and Zikai Zhou and Tian Ye and Lichen Bai and Zhiqiang Xu and Zeke Xie
Summary of On Reductions and Representations Of Learning Problems in Euclidean Spaces, by Bogdan Chornomaz et al.
Summary of Going Beyond Conventional Ood Detection, by Sudarshan Regmi
Summary of Stable Continual Reinforcement Learning Via Diffusion-based Trajectory Replay, by Feng Chen et al.
Summary of Conformation Generation Using Transformer Flows, by Sohil Atul Shah and Vladlen Koltun
Summary of An Oversampling-enhanced Multi-class Imbalanced Classification Framework For Patient Health Status Prediction Using Patient-reported Outcomes, by Yang Yan and Zhong Chen and Cai Xu and Xinglei Shen and Jay Shiao and John Einck and Ronald C Chen and Hao Gao
Summary of Geomclip: Contrastive Geometry-text Pre-training For Molecules, by Teng Xiao et al.
Summary of A Data-efficient Sequential Learning Framework For Melt Pool Defect Classification in Laser Powder Bed Fusion, by Ahmed Shoyeb Raihan et al.
Summary of One-layer Transformer Provably Learns One-nearest Neighbor in Context, by Zihao Li et al.
Summary of Adaptive Learning Of Design Strategies Over Non-hierarchical Multi-fidelity Models Via Policy Alignment, by Akash Agrawal (1) et al.
Summary of Bionemo Framework: a Modular, High-performance Library For Ai Model Development in Drug Discovery, by Peter St. John et al.
Summary of Low-rank Optimal Transport Through Factor Relaxation with Latent Coupling, by Peter Halmos et al.
Summary of Fedali: Personalized Federated Learning with Aligned Prototypes Through Optimal Transport, by Sannara Ek et al.
Summary of Creation and Evaluation Of a Food Product Image Dataset For Product Property Extraction, by Christoph Brosch et al.
Summary of Amoeballm: Constructing Any-shape Large Language Models For Efficient and Instant Deployment, by Yonggan Fu et al.
Summary of Being Considerate As a Pathway Towards Pluralistic Alignment For Agentic Ai, by Parand A. Alamdari et al.
Summary of Attraction-repulsion Swarming: a Generalized Framework Of T-sne Via Force Normalization and Tunable Interactions, by Jingcheng Lu et al.
Summary of Electrical Load Forecasting in Smart Grid: a Personalized Federated Learning Approach, by Ratun Rahman et al.
Summary of Drift-resilient Tabpfn: In-context Learning Temporal Distribution Shifts on Tabular Data, by Kai Helli et al.
Summary of Kat to Kans: a Review Of Kolmogorov-arnold Networks and the Neural Leap Forward, by Divesh Basina et al.
Summary of Gender Bias Mitigation For Bangla Classification Tasks, by Sajib Kumar Saha Joy et al.
Summary of Mta: Multimodal Task Alignment For Bev Perception and Captioning, by Yunsheng Ma et al.
Summary of Patient-specific Models Of Treatment Effects Explain Heterogeneity in Tuberculosis, by Ethan Wu et al.
Summary of Understanding Learning with Sliced-wasserstein Requires Rethinking Informative Slices, by Huy Tran et al.
Summary of Pluralistic Alignment Over Time, by Toryn Q. Klassen et al.
Summary of How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: a Vertical Solution, by Jinbo Wang et al.
Summary of Enhancing Ptsd Outcome Prediction with Ensemble Models in Disaster Contexts, by Ayesha Siddiqua et al.
Summary of Maskmedpaint: Masked Medical Image Inpainting with Diffusion Models For Mitigation Of Spurious Correlations, by Qixuan Jin et al.
Summary of Debug-hd: Debugging Tinyml Models On-device Using Hyper-dimensional Computing, by Nikhil P Ghanathe et al.
Summary of Series Expansion Of Probability Of Correct Selection For Improved Finite Budget Allocation in Ranking and Selection, by Xinbo Shi et al.
Summary of Mars: Unleashing the Power Of Variance Reduction For Training Large Models, by Huizhuo Yuan et al.
Summary of Large Language Models For Constructing and Optimizing Machine Learning Workflows: a Survey, by Yang Gu et al.
Summary of Constrained Composite Bayesian Optimization For Rational Synthesis Of Polymeric Particles, by Fanjin Wang et al.
Summary of Challenges in the Differential Classification Of Individual Diagnoses From Co-occurring Autism and Adhd Using Survey Data, by Aditi Jaiswal et al.
Summary of Hateful Meme Detection Through Context-sensitive Prompting and Fine-grained Labeling, by Rongxin Ouyang et al.
Summary of Physics-informed Neural Networks For Electrical Circuit Analysis: Applications in Dielectric Material Modeling, by Reyhaneh Taj
Summary of Boolean-aware Boolean Circuit Classification: a Comprehensive Study on Graph Neural Network, by Liwei Ni et al.
Summary of Onlyflow: Optical Flow Based Motion Conditioning For Video Diffusion Models, by Mathis Koroglu et al.
Summary of Guided Learning: Lubricating End-to-end Modeling For Multi-stage Decision-making, by Jian Guo et al.
Summary of Artificial Intelligence For Infectious Disease Prediction and Prevention: a Comprehensive Review, by Selestine Melchane et al.
Summary of Everything Is a Video: Unifying Modalities Through Next-frame Prediction, by G. Thomas Hudson et al.
Summary of Redtest: Towards Measuring Redundancy in Deep Neural Networks Effectively, by Yao Lu et al.
Summary of Tesgnn: Temporal Equivariant Scene Graph Neural Networks For Efficient and Robust Multi-view 3d Scene Understanding, by Quang P. M. Pham et al.
Summary of Smoothcache: a Universal Inference Acceleration Technique For Diffusion Transformers, by Joseph Liu et al.
Summary of On the Privacy Risk Of In-context Learning, by Haonan Duan et al.
Summary of Does Prompt Formatting Have Any Impact on Llm Performance?, by Jia He et al.
Summary of Softlms: Efficient Adaptive Low-rank Approximation Of Language Models Using Soft-thresholding Mechanism, by Priyansh Bhatnagar et al.