Paper List

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Summary of Selecting Large Language Model to Fine-tune Via Rectified Scaling Law, by Haowei Lin et al.
Summary of Future Directions in the Theory Of Graph Machine Learning, by Christopher Morris et al.
Summary of Your Diffusion Model Is Secretly a Certifiably Robust Classifier, by Huanran Chen et al.
Summary of Composite Active Learning: Towards Multi-domain Active Learning with Theoretical Guarantees, by Guang-yuan Hao et al.
Summary of Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo Is All You Need, by Shangda Yang et al.
Summary of Handling Delayed Feedback in Distributed Online Optimization : a Projection-free Approach, by Tuan-anh Nguyen et al.
Summary of Enhancing Crop Classification Accuracy by Synthetic Sar-optical Data Generation Using Deep Learning, By Ali Mirzaei et al.
Summary of Using Deep Ensemble Forest For High Resolution Mapping Of Pm2.5 From Modis Maiac Aod in Tehran, Iran, by Hossein Bagheri
Summary of Emergency Computing: An Adaptive Collaborative Inference Method Based on Hierarchical Reinforcement Learning, by Weiqi Fu et al.
Summary of Improving Diffusion Models For Inverse Problems Using Optimal Posterior Covariance, by Xinyu Peng et al.
Summary of Evaluating the Robustness Of Off-road Autonomous Driving Segmentation Against Adversarial Attacks: a Dataset-centric Analysis, by Pankaj Deoli et al.
Summary of A Bayesian Cluster Validity Index, by Nathakhun Wiroonsri and Onthada Preedasawakul
Summary of Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error, by Haoran Li et al.
Summary of Enhancing Cross-domain Link Prediction Via Evolution Process Modeling, by Xuanwen Huang et al.
Summary of Off-policy Evaluation Of Slate Bandit Policies Via Optimizing Abstraction, by Haruka Kiyohara et al.
Summary of Continuous Tensor Relaxation For Finding Diverse Solutions in Combinatorial Optimization Problems, by Yuma Ichikawa et al.
Summary of Implicit Neural Representation Of Tileable Material Textures, by Hallison Paz et al.
Summary of Evolution Guided Generative Flow Networks, by Zarif Ikram et al.
Summary of Safety Fine-tuning at (almost) No Cost: a Baseline For Vision Large Language Models, by Yongshuo Zong et al.
Summary of Query-decision Regression Between Shortest Path and Minimum Steiner Tree, by Guangmo Tong et al.
Summary of On the Exploitation Of Dct-traces in the Generative-ai Domain, by Orazio Pontorno (1) et al.
Summary of Position: Graph Foundation Models Are Already Here, by Haitao Mao et al.
Summary of Rethinking the Starting Point: Collaborative Pre-training For Federated Downstream Tasks, by Yun-wei Chu et al.
Summary of Multi-fidelity Physics Constrained Neural Networks For Dynamical Systems, by Hao Zhou et al.
Summary of Unlearnable Examples For Time Series, by Yujing Jiang et al.
Summary of Scribformer: Transformer Makes Cnn Work Better For Scribble-based Medical Image Segmentation, by Zihan Li et al.
Summary of Robusttsf: Towards Theory and Design Of Robust Time Series Forecasting with Anomalies, by Hao Cheng et al.
Summary of Alpha-divergence Loss Function For Neural Density Ratio Estimation, by Yoshiaki Kitazawa
Summary of Learning General Parameterized Policies For Infinite Horizon Average Reward Constrained Mdps Via Primal-dual Policy Gradient Algorithm, by Qinbo Bai et al.
Summary of Generating In-distribution Proxy Graphs For Explaining Graph Neural Networks, by Zhuomin Chen et al.
Summary of A Plug-in Tiny Ai Module For Intelligent and Selective Sensor Data Transmission, by Wenjun Huang et al.
Summary of Locally-adaptive Quantization For Streaming Vector Search, by Cecilia Aguerrebere and Mark Hildebrand and Ishwar Singh Bhati and Theodore Willke and Mariano Tepper
Summary of Nonlinear Subspace Clustering by Functional Link Neural Networks, By Long Shi et al.
Summary of Feature Selection Using the Concept Of Peafowl Mating in Ids, by Partha Ghosh et al.
Summary of Towards Neural Scaling Laws on Graphs, by Jingzhe Liu et al.
Summary of Variance Alignment Score: a Simple but Tough-to-beat Data Selection Method For Multimodal Contrastive Learning, by Yiping Wang et al.
Summary of Training Implicit Networks For Image Deblurring Using Jacobian-free Backpropagation, by Linghai Liu et al.
Summary of Break the Sequential Dependency Of Llm Inference Using Lookahead Decoding, by Yichao Fu et al.
Summary of Risk-sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples, by Yangming Li et al.
Summary of Self-attention Networks Localize When Qk-eigenspectrum Concentrates, by Han Bao et al.
Summary of Contrasting Adversarial Perturbations: the Space Of Harmless Perturbations, by Lu Chen et al.
Summary of Analyzing the Evaluation Of Cross-lingual Knowledge Transfer in Multilingual Language Models, by Sara Rajaee and Christof Monz
Summary of Learning Structure-aware Representations Of Dependent Types, by Konstantinos Kogkalidis et al.
Summary of Improving Large-scale K-nearest Neighbor Text Categorization with Label Autoencoders, by Francisco J. Ribadas-pena et al.
Summary of Analyzing Neural Network-based Generative Diffusion Models Through Convex Optimization, by Fangzhao Zhang et al.
Summary of Scalable and Efficient Temporal Graph Representation Learning Via Forward Recent Sampling, by Yuhong Luo and Pan Li
Summary of Combining T-learning and Dr-learning: a Framework For Oracle-efficient Estimation Of Causal Contrasts, by Lars Van Der Laan et al.
Summary of Structure-aware E(3)-invariant Molecular Conformer Aggregation Networks, by Duy M. H. Nguyen et al.
Summary of Simulation-enhanced Data Augmentation For Machine Learning Pathloss Prediction, by Ahmed P. Mohamed et al.
Summary of Online Transfer Learning For Rsv Case Detection, by Yiming Sun et al.
Summary of Online Uniform Sampling: Randomized Learning-augmented Approximation Algorithms with Application to Digital Health, by Xueqing Liu et al.
Summary of Self-debiasing Large Language Models: Zero-shot Recognition and Reduction Of Stereotypes, by Isabel O. Gallegos et al.
Summary of A Novel Hyperdimensional Computing Framework For Online Time Series Forecasting on the Edge, by Mohamed Mejri et al.
Summary of A Survey on Graph Condensation, by Hongjia Xu et al.
Summary of Topology-informed Graph Transformer, by Yun Young Choi et al.
Summary of Presaise, a Prescriptive Ai Solution For Enterprises, by Wei Sun et al.
Summary of Robust Multi-task Learning with Excess Risks, by Yifei He et al.
Summary of Understanding Time Series Anomaly State Detection Through One-class Classification, by Hanxu Zhou et al.
Summary of Genformer: a Deep-learning-based Approach For Generating Multivariate Stochastic Processes, by Haoran Zhao et al.
Summary of The Landscape and Challenges Of Hpc Research and Llms, by Le Chen et al.
Summary of Transfer Learning in Ecg Diagnosis: Is It Effective?, by Cuong V. Nguyen and Cuong D.do
Summary of A Survey Of Constraint Formulations in Safe Reinforcement Learning, by Akifumi Wachi et al.
Summary of Self-supervised Contrastive Learning For Long-term Forecasting, by Junwoo Park et al.
Summary of What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement, by Xisen Jin et al.
Summary of Challenges in Training Pinns: a Loss Landscape Perspective, by Pratik Rathore et al.
Summary of Infercept: Efficient Intercept Support For Augmented Large Language Model Inference, by Reyna Abhyankar et al.
Summary of The Rl/llm Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models, by Moschoula Pternea et al.
Summary of Lipo: Listwise Preference Optimization Through Learning-to-rank, by Tianqi Liu et al.
Summary of Large Language Model Agent For Hyper-parameter Optimization, by Siyi Liu et al.
Summary of Inverse Reinforcement Learning by Estimating Expertise Of Demonstrators, By Mark Beliaev et al.
Summary of The Role Of Foundation Models in Neuro-symbolic Learning and Reasoning, by Daniel Cunnington et al.
Summary of Distributional Off-policy Evaluation with Bellman Residual Minimization, by Sungee Hong et al.
Summary of On Catastrophic Inheritance Of Large Foundation Models, by Hao Chen et al.
Summary of Ebv: Electronic Bee-veterinarian For Principled Mining and Forecasting Of Honeybee Time Series, by Mst. Shamima Hossain et al.
Summary of From Peft to Deft: Parameter Efficient Finetuning For Reducing Activation Density in Transformers, by Bharat Runwal et al.
Summary of Preference Poisoning Attacks on Reward Model Learning, by Junlin Wu et al.
Summary of A General Framework For Learning From Weak Supervision, by Hao Chen et al.
Summary of Robust Counterfactual Explanations in Machine Learning: a Survey, by Junqi Jiang et al.
Summary of Sample, Estimate, Aggregate: a Recipe For Causal Discovery Foundation Models, by Menghua Wu et al.
Summary of Digits Micro-model For Accurate and Secure Transactions, by Chirag Chhablani et al.
Summary of Opsurv: Orthogonal Polynomials Quadrature Algorithm For Survival Analysis, by Lilian W. Bialokozowicz and Hoang M. Le and Tristan Sylvain et al.
Summary of Precedence-constrained Winter Value For Effective Graph Data Valuation, by Hongliang Chi et al.
Summary of Calibrated Uncertainty Quantification For Operator Learning Via Conformal Prediction, by Ziqi Ma et al.
Summary of Improved Quantization Strategies For Managing Heavy-tailed Gradients in Distributed Learning, by Guangfeng Yan et al.
Summary of An Introduction to Graphical Tensor Notation For Mechanistic Interpretability, by Jordan K. Taylor
Summary of Robust Support Vector Machines Via Conic Optimization, by Valentina Cepeda et al.
Summary of Faster and Lighter Llms: a Survey on Current Challenges and Way Forward, by Arnav Chavan et al.
Summary of An Auction-based Marketplace For Model Trading in Federated Learning, by Yue Cui et al.
Summary of Large Language Models For Time Series: a Survey, by Xiyuan Zhang et al.
Summary of Parameter Uncertainties For Imperfect Surrogate Models in the Low-noise Regime, by Thomas D Swinburne and Danny Perez
Summary of A Distributionally Robust Optimisation Approach to Fair Credit Scoring, by Pablo Casas et al.
Summary of Distilling Llms’ Decomposition Abilities Into Compact Language Models, by Denis Tarasov et al.
Summary of Llms Can’t Plan, but Can Help Planning in Llm-modulo Frameworks, by Subbarao Kambhampati et al.
Summary of Pico: Peer Review in Llms Based on the Consistency Optimization, by Kun-peng Ning et al.
Summary of Human-like Category Learning by Injecting Ecological Priors From Large Language Models Into Neural Networks, By Akshay K. Jagadish et al.
Summary of Synthclip: Are We Ready For a Fully Synthetic Clip Training?, by Hasan Abed Al Kader Hammoud et al.
Summary of Neural Variational Data Assimilation with Uncertainty Quantification Using Spde Priors, by Maxime Beauchamp et al.
Summary of Multi-armed Bandits with Interference, by Su Jia et al.
Summary of Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Models, by Xi Li et al.
Summary of Explaining Latent Representations Of Generative Models with Large Multimodal Models, by Mengdan Zhu et al.