Paper List

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Summary of Taming Generative Diffusion Prior For Universal Blind Image Restoration, by Siwei Tu et al.
Summary of Offline Policy Learning Via Skill-step Abstraction For Long-horizon Goal-conditioned Tasks, by Donghoon Kim et al.
Summary of Modeling Reference-dependent Choices with Graph Neural Networks, by Liang Zhang et al.
Summary of Knowledge Sharing and Transfer Via Centralized Reward Agent For Multi-task Reinforcement Learning, by Haozhe Ma et al.
Summary of Dbhp: Trajectory Imputation in Multi-agent Sports Using Derivative-based Hybrid Prediction, by Hanjun Choi et al.
Summary of A Grey-box Attack Against Latent Diffusion Model-based Image Editing by Posterior Collapse, By Zhongliang Guo et al.
Summary of Crossfi: a Cross Domain Wi-fi Sensing Framework Based on Siamese Network, by Zijian Zhao et al.
Summary of The Evolution Of Reinforcement Learning in Quantitative Finance: a Survey, by Nikolaos Pippas et al.
Summary of A Closer Look at Data Augmentation Strategies For Finetuning-based Low/few-shot Object Detection, by Vladislav Li et al.
Summary of Conformalized Interval Arithmetic with Symmetric Calibration, by Rui Luo and Zhixin Zhou
Summary of Robust Regression with Ensembles Communicating Over Noisy Channels, by Yuval Ben-hur and Yuval Cassuto
Summary of Gaim: Attacking Graph Neural Networks Via Adversarial Influence Maximization, by Xiaodong Yang et al.
Summary of Wave-mask/mix: Exploring Wavelet-based Augmentations For Time Series Forecasting, by Dona Arabi et al.
Summary of Kernel-based Differentiable Learning Of Non-parametric Directed Acyclic Graphical Models, by Yurou Liang et al.
Summary of Scaling Law with Learning Rate Annealing, by Howe Tissue et al.
Summary of Tabular Transfer Learning Via Prompting Llms, by Jaehyun Nam et al.
Summary of Characteristic Performance Study on Solving Oscillator Odes Via Soft-constrained Physics-informed Neural Network with Small Data, by Kai-liang Lu et al.
Summary of Config: Towards Conflict-free Training Of Physics Informed Neural Networks, by Qiang Liu et al.
Summary of Experimentation, Deployment and Monitoring Machine Learning Models: Approaches For Applying Mlops, by Diego Nogare et al.
Summary of Binocular Model: a Deep Learning Solution For Online Melt Pool Temperature Analysis Using Dual-wavelength Imaging Pyrometry, by Javid Akhavan et al.
Summary of Domba: Double Model Balancing For Access-controlled Language Models Via Minimum-bounded Aggregation, by Tom Segal et al.
Summary of Total Uncertainty Quantification in Inverse Pde Solutions Obtained with Reduced-order Deep Learning Surrogate Models, by Yuanzhe Wang and Alexandre M. Tartakovsky
Summary of The Ensemble Epanechnikov Mixture Filter, by Andrey A. Popov et al.
Summary of Tensor Tree Learns Hidden Relational Structures in Data to Construct Generative Models, by Kenji Harada et al.
Summary of Federated Clustering: An Unsupervised Cluster-wise Training For Decentralized Data Distributions, by Mirko Nardi et al.
Summary of Neural Exploratory Landscape Analysis, by Zeyuan Ma et al.
Summary of Representation Norm Amplification For Out-of-distribution Detection in Long-tail Learning, by Dong Geun Shin and Hye Won Chung
Summary of Hmoe: Heterogeneous Mixture Of Experts For Language Modeling, by An Wang et al.
Summary of Towards Robust Knowledge Unlearning: An Adversarial Framework For Assessing and Improving Unlearning Robustness in Large Language Models, by Hongbang Yuan et al.
Summary of Anygraph: Graph Foundation Model in the Wild, by Lianghao Xia et al.
Summary of Variable Assignment Invariant Neural Networks For Learning Logic Programs, by Yin Jun Phua and Katsumi Inoue
Summary of Accelerated Training Of Deep Learning Surrogate Models For Surface Displacement and Flow, with Application to Mcmc-based History Matching Of Co2 Storage Operations, by Yifu Han et al.
Summary of Offline Model-based Reinforcement Learning with Anti-exploration, by Padmanaba Srinivasan et al.
Summary of Towards Foundation Models For the Industrial Forecasting Of Chemical Kinetics, by Imran Nasim et al.
Summary of Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation, By Md Fahim Sikder et al.
Summary of Security Assessment Of Hierarchical Federated Deep Learning, by D Alqattan et al.
Summary of A Lightweight Modular Framework For Low-cost Open-vocabulary Object Detection Training, by Bilal Faye et al.
Summary of Generative Ai in Industrial Machine Vision — a Review, by Hans Aoyang Zhou et al.
Summary of Universal Novelty Detection Through Adaptive Contrastive Learning, by Hossein Mirzaei et al.
Summary of Inverse Deep Learning Ray Tracing For Heliostat Surface Prediction, by Jan Lewen et al.
Summary of Learning Randomized Algorithms with Transformers, by Johannes Von Oswald and Seijin Kobayashi and Yassir Akram and Angelika Steger
Summary of Navigating Spatio-temporal Heterogeneity: a Graph Transformer Approach For Traffic Forecasting, by Jianxiang Zhou et al.
Summary of Feature Selection From Differentially Private Correlations, by Ryan Swope et al.
Summary of Tracing Privacy Leakage Of Language Models to Training Data Via Adjusted Influence Functions, by Jinxin Liu and Zao Yang
Summary of Prformer: Pyramidal Recurrent Transformer For Multivariate Time Series Forecasting, by Yongbo Yu et al.
Summary of Enhancing One-shot Pruned Pre-trained Language Models Through Sparse-dense-sparse Mechanism, by Guanchen Li et al.
Summary of An End-to-end Reinforcement Learning Based Approach For Micro-view Order-dispatching in Ride-hailing, by Xinlang Yue et al.
Summary of Achieving the Tightest Relaxation Of Sigmoids For Formal Verification, by Samuel Chevalier et al.
Summary of Asymptotic Classification Error For Heavy-tailed Renewal Processes, by Xinhui Rong and Victor Solo
Summary of Clustering by Mining Density Distributions and Splitting Manifold Structure, By Zhichang Xu et al.
Summary of Adaptive Knowledge Distillation For Classification Of Hand Images Using Explainable Vision Transformers, by Thanh Thi Nguyen et al.
Summary of Single-cell Curriculum Learning-based Deep Graph Embedding Clustering, by Huifa Li et al.
Summary of Integrating Multi-modal Input Token Mixer Into Mamba-based Decision Models: Decision Metamamba, by Wall Kim
Summary of Gacl: Graph Attention Collaborative Learning For Temporal Qos Prediction, by Shengxiang Hu et al.
Summary of Hokoff: Real Game Dataset From Honor Of Kings and Its Offline Reinforcement Learning Benchmarks, by Yun Qu et al.
Summary of Overcoming Growth-induced Forgetting in Task-agnostic Continual Learning, by Yuqing Zhao et al.
Summary of Multilingual Non-factoid Question Answering with Answer Paragraph Selection, by Ritwik Mishra et al.
Summary of Perturbench: Benchmarking Machine Learning Models For Cellular Perturbation Analysis, by Yan Wu et al.
Summary of Finding the Deepdream For Time Series: Activation Maximization For Univariate Time Series, by Udo Schlegel et al.
Summary of On the Approximability Of Stationary Processes Using the Arma Model, by Anand Ganesh et al.
Summary of Interactive Counterfactual Generation For Univariate Time Series, by Udo Schlegel et al.
Summary of Llm-barber: Block-aware Rebuilder For Sparsity Mask in One-shot For Large Language Models, by Yupeng Su et al.
Summary of Privacy-preserving Universal Adversarial Defense For Black-box Models, by Qiao Li et al.
Summary of Nora: Nested Low-rank Adaptation For Efficient Fine-tuning Large Models, by Cheng Lin et al.
Summary of Augmenting Train Maintenance Technicians with Automated Incident Diagnostic Suggestions, by Georges Tod et al.
Summary of Garlic: Gpt-augmented Reinforcement Learning with Intelligent Control For Vehicle Dispatching, by Xiao Han et al.
Summary of Chatbots and Zero Sales Resistance, by Sauro Succi
Summary of Leveraging Superfluous Information in Contrastive Representation Learning, by Xuechu Yu
Summary of Decoding Human Emotions: Analyzing Multi-channel Eeg Data Using Lstm Networks, by Shyam K Sateesh et al.
Summary of Can An Unsupervised Clustering Algorithm Reproduce a Categorization System?, by Nathalia Castellanos et al.
Summary of Air: Analytic Imbalance Rectifier For Continual Learning, by Di Fang and Yinan Zhu and Runze Fang and Cen Chen and Ziqian Zeng and Huiping Zhuang
Summary of On the Identifiability Of Sparse Ica Without Assuming Non-gaussianity, by Ignavier Ng et al.
Summary of Deep-macrofin: Informed Equilibrium Neural Network For Continuous Time Economic Models, by Yuntao Wu et al.
Summary of Value Alignment From Unstructured Text, by Inkit Padhi et al.
Summary of Efficient Reinforcement Learning in Probabilistic Reward Machines, by Xiaofeng Lin et al.
Summary of Second-order Forward-mode Automatic Differentiation For Optimization, by Adam D. Cobb et al.
Summary of Learning Regularization For Graph Inverse Problems, by Moshe Eliasof et al.
Summary of Understanding Generative Ai Content with Embedding Models, by Max Vargas et al.
Summary of Federated Learning Of Large Asr Models in the Real World, by Yonghui Xiao et al.
Summary of Parkinson’s Disease Classification Via Eeg: All You Need Is a Single Convolutional Layer, by Md Fahim Anjum
Summary of Differentially Private Stochastic Gradient Descent with Fixed-size Minibatches: Tighter Rdp Guarantees with or Without Replacement, by Jeremiah Birrell et al.
Summary of Transfer Operator Learning with Fusion Frame, by Haoyang Jiang and Yongzhi Qu
Summary of Learning Multimodal Latent Space with Ebm Prior and Mcmc Inference, by Shiyu Yuan et al.
Summary of Smile: Zero-shot Sparse Mixture Of Low-rank Experts Construction From Pre-trained Foundation Models, by Anke Tang et al.
Summary of Criticality Leveraged Adversarial Training (clat) For Boosted Performance Via Parameter Efficiency, by Bhavna Gopal et al.
Summary of Area Under the Roc Curve Has the Most Consistent Evaluation For Binary Classification, by Jing Li
Summary of Kan 2.0: Kolmogorov-arnold Networks Meet Science, by Ziming Liu et al.
Summary of A Survey on Symbolic Knowledge Distillation Of Large Language Models, by Kamal Acharya et al.
Summary of Comprehensive Overview Of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications, by Sinan Ibrahim et al.
Summary of Contrastive Learning on Medical Intents For Sequential Prescription Recommendation, by Arya Hadizadeh Moghaddam et al.
Summary of Nerf-us: Removing Ultrasound Imaging Artifacts From Neural Radiance Fields in the Wild, by Rishit Dagli et al.
Summary of Relational Graph Convolutional Networks Do Not Learn Sound Rules, by Matthew Morris et al.
Summary of Kolmogorov Arnold Networks in Fraud Detection: Bridging the Gap Between Theory and Practice, by Yang Lu and Felix Zhan
Summary of Opdr: Order-preserving Dimension Reduction For Semantic Embedding Of Multimodal Scientific Data, by Chengyu Gong et al.
Summary of Diffusion Model For Planning: a Systematic Literature Review, by Toshihide Ubukata et al.
Summary of Opencity: Open Spatio-temporal Foundation Models For Traffic Prediction, by Zhonghang Li et al.
Summary of Data-driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks, by Xin Tong and Bryan Quaife
Summary of Seal: Systematic Error Analysis For Value Alignment, by Manon Revel et al.
Summary of Fedkbp: Federated Dose Prediction Framework For Knowledge-based Planning in Radiation Therapy, by Jingyun Chen et al.
Summary of Fedkim: Adaptive Federated Knowledge Injection Into Medical Foundation Models, by Xiaochen Wang et al.