Paper List

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Summary of Fedmia: An Effective Membership Inference Attack Exploiting “all For One” Principle in Federated Learning, by Gongxi Zhu et al.
Summary of Probabilistic Forecasting Of Irregular Time Series Via Conditional Flows, by Vijaya Krishna Yalavarthi et al.
Summary of Timehr: Image-based Time Series Generation For Electronic Health Records, by Hojjat Karami et al.
Summary of Contrastive Approach to Prior Free Positive Unlabeled Learning, by Anish Acharya et al.
Summary of Game-theoretic Counterfactual Explanation For Graph Neural Networks, by Chirag Chhablani et al.
Summary of Optimizing Predictive Ai in Physical Design Flows with Mini Pixel Batch Gradient Descent, by Haoyu Yang and Anthony Agnesina and Haoxing Ren
Summary of Direct Acquisition Optimization For Low-budget Active Learning, by Zhuokai Zhao et al.
Summary of Activedp: Bridging Active Learning and Data Programming, by Naiqing Guan et al.
Summary of Subgen: Token Generation in Sublinear Time and Memory, by Amir Zandieh et al.
Summary of Scaling Artificial Intelligence For Digital Wargaming in Support Of Decision-making, by Scotty Black et al.
Summary of Descriptive Kernel Convolution Network with Improved Random Walk Kernel, by Meng-chieh Lee et al.
Summary of Twig: Towards Pre-hoc Hyperparameter Optimisation and Cross-graph Generalisation Via Simulated Kge Models, by Jeffrey Sardina et al.
Summary of Veni, Vidi, Vici: Solving the Myriad Of Challenges Before Knowledge Graph Learning, by Jeffrey Sardina et al.
Summary of Gradient Aligned Regression Via Pairwise Losses, by Dixian Zhu et al.
Summary of Multiple Instance Learning For Cheating Detection and Localization in Online Examinations, by Yemeng Liu et al.
Summary of Ai Enhanced Data Assimilation and Uncertainty Quantification Applied to Geological Carbon Storage, by G. S. Seabra (1 et al.
Summary of Learn to Be Efficient: Build Structured Sparsity in Large Language Models, by Haizhong Zheng et al.
Summary of Iterated Denoising Energy Matching For Sampling From Boltzmann Densities, by Tara Akhound-sadegh et al.
Summary of Rethinking Node-wise Propagation For Large-scale Graph Learning, by Xunkai Li et al.
Summary of Jointly Learning Representations For Map Entities Via Heterogeneous Graph Contrastive Learning, by Jiawei Jiang et al.
Summary of On the Privacy Of Selection Mechanisms with Gaussian Noise, by Jonathan Lebensold et al.
Summary of Domain Generalization with Small Data, by Kecheng Chen et al.
Summary of Are Uncertainty Quantification Capabilities Of Evidential Deep Learning a Mirage?, by Maohao Shen et al.
Summary of Pathformer: Multi-scale Transformers with Adaptive Pathways For Time Series Forecasting, by Peng Chen et al.
Summary of Nature-inspired Local Propagation, by Alessandro Betti et al.
Summary of Accelerating Pde Data Generation Via Differential Operator Action in Solution Space, by Huanshuo Dong et al.
Summary of Phase-driven Domain Generalizable Learning For Nonstationary Time Series, by Payal Mohapatra et al.
Summary of Exgc: Bridging Efficiency and Explainability in Graph Condensation, by Junfeng Fang and Xinglin Li and Yongduo Sui and Yuan Gao and Guibin Zhang and Kun Wang and Xiang Wang and Xiangnan He
Summary of Frugal Actor-critic: Sample Efficient Off-policy Deep Reinforcement Learning Using Unique Experiences, by Nikhil Kumar Singh and Indranil Saha
Summary of A Survey on Transformer Compression, by Yehui Tang et al.
Summary of The Last Dance : Robust Backdoor Attack Via Diffusion Models and Bayesian Approach, by Orson Mengara
Summary of Vanishing Feature: Diagnosing Model Merging and Beyond, by Xingyu Qu et al.
Summary of Breaking Symmetry When Training Transformers, by Chunsheng Zuo et al.
Summary of Hybrid Neural Representations For Spherical Data, by Hyomin Kim et al.
Summary of Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-experts, by Kun Wang et al.
Summary of Blockchain-enabled Clustered and Scalable Federated Learning (bcs-fl) Framework in Uav Networks, by Sana Hafeez et al.
Summary of Ranksum An Unsupervised Extractive Text Summarization Based on Rank Fusion, by A. Joshi et al.
Summary of Are We Making Much Progress? Revisiting Chemical Reaction Yield Prediction From An Imbalanced Regression Perspective, by Yihong Ma et al.
Summary of Anatomizing Deep Learning Inference in Web Browsers, by Qipeng Wang et al.
Summary of Checking the Sufficiently Scattered Condition Using a Global Non-convex Optimization Software, by Nicolas Gillis et al.
Summary of Npsvc++: Nonparallel Classifiers Encounter Representation Learning, by Junhong Zhang et al.
Summary of Decision Theory-guided Deep Reinforcement Learning For Fast Learning, by Zelin Wan et al.
Summary of An Operator Learning Perspective on Parameter-to-observable Maps, by Daniel Zhengyu Huang et al.
Summary of Eugene: Explainable Unsupervised Approximation Of Graph Edit Distance with Generalized Edit Costs, by Aditya Bommakanti et al.
Summary of Efficient Stagewise Pretraining Via Progressive Subnetworks, by Abhishek Panigrahi et al.
Summary of Risk-sensitive Multi-agent Reinforcement Learning in Network Aggregative Markov Games, by Hafez Ghaemi et al.
Summary of Geneft: Understanding Statics and Dynamics Of Model Generalization Via Effective Theory, by David D. Baek et al.
Summary of Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation For the Square Loss, by Ingvar Ziemann et al.
Summary of On the Convergence Of Zeroth-order Federated Tuning For Large Language Models, by Zhenqing Ling et al.
Summary of An Interactive Agent Foundation Model, by Zane Durante et al.
Summary of Sphinx-x: Scaling Data and Parameters For a Family Of Multi-modal Large Language Models, by Dongyang Liu et al.
Summary of Classifying Nodes in Graphs Without Gnns, by Daniel Winter et al.
Summary of Causal Relationship Network Of Risk Factors Impacting Workday Loss in Underground Coal Mines, by Shangsi Ren et al.
Summary of Cooperative Knowledge Distillation: a Learner Agnostic Approach, by Michael Livanos et al.
Summary of A Hybrid Indrnnlstm Approach For Real-time Anomaly Detection in Software-defined Networks, by Sajjad Salem et al.
Summary of Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-aware Tokenization, by Mahdi Biparva et al.
Summary of Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning, by Ao Sun et al.
Summary of Unveiling Latent Causal Rules: a Temporal Point Process Approach For Abnormal Event Explanation, by Yiling Kuang et al.
Summary of An Explainable Machine Learning-based Approach For Analyzing Customers’ Online Data to Identify the Importance Of Product Attributes, by Aigin Karimzadeh et al.
Summary of Separable Multi-concept Erasure From Diffusion Models, by Mengnan Zhao et al.
Summary of Easyfs: An Efficient Model-free Feature Selection Framework Via Elastic Transformation Of Features, by Jianming Lv et al.
Summary of A Hyper-transformer Model For Controllable Pareto Front Learning with Split Feasibility Constraints, by Tran Anh Tuan et al.
Summary of Advancing Graph Representation Learning with Large Language Models: a Comprehensive Survey Of Techniques, by Qiheng Mao et al.
Summary of Latent Variable Model For High-dimensional Point Process with Structured Missingness, by Maksim Sinelnikov et al.
Summary of Generalized Preference Optimization: a Unified Approach to Offline Alignment, by Yunhao Tang et al.
Summary of Analysing the Sample Complexity Of Opponent Shaping, by Kitty Fung et al.
Summary of Stable Autonomous Flow Matching, by Christopher Iliffe Sprague et al.
Summary of Limits Of Transformer Language Models on Learning to Compose Algorithms, by Jonathan Thomm et al.
Summary of How Do Transformers Perform In-context Autoregressive Learning?, by Michael E. Sander et al.
Summary of Unsupervised Discovery Of Clinical Disease Signatures Using Probabilistic Independence, by Thomas A. Lasko et al.
Summary of On Temperature Scaling and Conformal Prediction Of Deep Classifiers, by Lahav Dabah et al.
Summary of Training Large Language Models For Reasoning Through Reverse Curriculum Reinforcement Learning, by Zhiheng Xi et al.
Summary of Fusionsf: Fuse Heterogeneous Modalities in a Vector Quantized Framework For Robust Solar Power Forecasting, by Ziqing Ma et al.
Summary of Guided Evolution with Binary Discriminators For Ml Program Search, by John D. Co-reyes et al.
Summary of Discovering Temporally-aware Reinforcement Learning Algorithms, by Matthew Thomas Jackson et al.
Summary of Sparse-vq Transformer: An Ffn-free Framework with Vector Quantization For Enhanced Time Series Forecasting, by Yanjun Zhao et al.
Summary of Let Your Graph Do the Talking: Encoding Structured Data For Llms, by Bryan Perozzi et al.
Summary of Permute-and-flip: An Optimally Stable and Watermarkable Decoder For Llms, by Xuandong Zhao et al.
Summary of Learning to Route Among Specialized Experts For Zero-shot Generalization, by Mohammed Muqeeth et al.
Summary of Emojicrypt: Prompt Encryption For Secure Communication with Large Language Models, by Guo Lin et al.
Summary of Federated Offline Reinforcement Learning: Collaborative Single-policy Coverage Suffices, by Jiin Woo et al.
Summary of Prior-dependent Allocations For Bayesian Fixed-budget Best-arm Identification in Structured Bandits, by Nicolas Nguyen et al.
Summary of Large Language Model Meets Graph Neural Network in Knowledge Distillation, by Shengxiang Hu et al.
Summary of Simultaneously Achieving Group Exposure Fairness and Within-group Meritocracy in Stochastic Bandits, by Subham Pokhriyal et al.
Summary of Optimizing Delegation in Collaborative Human-ai Hybrid Teams, by Andrew Fuchs et al.
Summary of Pretrained Generative Language Models As General Learning Frameworks For Sequence-based Tasks, by Ben Fauber
Summary of Loss Landscape Of Shallow Relu-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding, by Frank Zhengqing Wu et al.
Summary of Repquant: Towards Accurate Post-training Quantization Of Large Transformer Models Via Scale Reparameterization, by Zhikai Li et al.
Summary of Improving Token-based World Models with Parallel Observation Prediction, by Lior Cohen et al.
Summary of Rethinking Propagation For Unsupervised Graph Domain Adaptation, by Meihan Liu et al.
Summary of Nonparametric Instrumental Variable Regression Through Stochastic Approximate Gradients, by Yuri Fonseca et al.
Summary of A High Dimensional Statistical Model For Adversarial Training: Geometry and Trade-offs, by Kasimir Tanner et al.
Summary of Is Adversarial Training with Compressed Datasets Effective?, by Tong Chen et al.
Summary of Mesoscale Traffic Forecasting For Real-time Bottleneck and Shockwave Prediction, by Raphael Chekroun et al.
Summary of Interpretable Classifiers For Tabular Data Via Discretization and Feature Selection, by Reijo Jaakkola et al.
Summary of Unichain and Aperiodicity Are Sufficient For Asymptotic Optimality Of Average-reward Restless Bandits, by Yige Hong et al.
Summary of Fixed Width Treelike Neural Networks Capacity Analysis — Generic Activations, by Mihailo Stojnic
Summary of Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations, by Pranav Kulkarni et al.
Summary of Collaborative Non-parametric Two-sample Testing, by Alejandro De La Concha et al.
Summary of Remedi: Corrective Transformations For Improved Neural Entropy Estimation, by Viktor Nilsson et al.