Paper List

We recommend you use the search box as this list is very long.

Summary of Scavenging Hyena: Distilling Transformers Into Long Convolution Models, by Tokiniaina Raharison Ralambomihanta et al.
Summary of Propagation and Pitfalls: Reasoning-based Assessment Of Knowledge Editing Through Counterfactual Tasks, by Wenyue Hua et al.
Summary of Graph Contrastive Learning with Cohesive Subgraph Awareness, by Yucheng Wu et al.
Summary of Dynamical Survival Analysis with Controlled Latent States, by Linus Bleistein et al.
Summary of Evaluation in Neural Style Transfer: a Review, by Eleftherios Ioannou and Steve Maddock
Summary of Traffic Estimation in Unobserved Network Locations Using Data-driven Macroscopic Models, by Pablo Guarda et al.
Summary of Deep Learning-driven Approach For Handwritten Chinese Character Classification, by Boris Kriuk et al.
Summary of Explainable Data-driven Modeling Via Mixture Of Experts: Towards Effective Blending Of Grey and Black-box Models, by Jessica Leoni et al.
Summary of Unsupervised Discovery Of Steerable Factors When Graph Deep Generative Models Are Entangled, by Shengchao Liu et al.
Summary of Spectral Co-distillation For Personalized Federated Learning, by Zihan Chen et al.
Summary of Personalized Differential Privacy For Ridge Regression, by Krishna Acharya et al.
Summary of Diff-erank: a Novel Rank-based Metric For Evaluating Large Language Models, by Lai Wei et al.
Summary of Zero-shot Reinforcement Learning Via Function Encoders, by Tyler Ingebrand et al.
Summary of Graphviz2vec: a Structure-aware Feature Generation Model to Improve Classification in Gnns, by Shraban Kumar Chatterjee et al.
Summary of Normensemblexai: Unveiling the Strengths and Weaknesses Of Xai Ensemble Techniques, by Weronika Hryniewska-guzik et al.
Summary of Mousi: Poly-visual-expert Vision-language Models, by Xiaoran Fan et al.
Summary of Robust Prompt Optimization For Defending Language Models Against Jailbreaking Attacks, by Andy Zhou and Bo Li and Haohan Wang
Summary of Achieving More Human Brain-like Vision Via Human Eeg Representational Alignment, by Zitong Lu et al.
Summary of Reacllama: Merging Chemical and Textual Information in Chemical Reactivity Ai Models, by Aline Hartgers et al.
Summary of Weaver: Foundation Models For Creative Writing, by Tiannan Wang et al.
Summary of Effect Of Weight Quantization on Learning Models by Typical Case Analysis, By Shuhei Kashiwamura et al.
Summary of A Latent Space Metric For Enhancing Prediction Confidence in Earth Observation Data, by Ioannis Pitsiorlas et al.
Summary of Time Series Supplier Allocation Via Deep Black-litterman Model, by Jiayuan Luo et al.
Summary of Encoding Temporal Statistical-space Priors Via Augmented Representation, by Insu Choi et al.
Summary of H2o-danube-1.8b Technical Report, by Philipp Singer et al.
Summary of Online Algorithm For Node Feature Forecasting in Temporal Graphs, by Aniq Ur Rahman et al.
Summary of Coseparable Nonnegative Tensor Factorization with T-cur Decomposition, by Juefei Chen et al.
Summary of Evaluating Ml-based Anomaly Detection Across Datasets Of Varied Integrity: a Case Study, by Adrian Pekar and Richard Jozsa
Summary of Checkmating One, by Using Many: Combining Mixture Of Experts with Mcts to Improve in Chess, By Felix Helfenstein et al.
Summary of Zero-shot Classification Using Hyperdimensional Computing, by Samuele Ruffino et al.
Summary of Energy-conserving Equivariant Gnn For Elasticity Of Lattice Architected Metamaterials, by Ivan Grega et al.
Summary of Multi-modal Representation Learning For Cross-modal Prediction Of Continuous Weather Patterns From Discrete Low-dimensional Data, by Alif Bin Abdul Qayyum et al.
Summary of Segmentation and Characterization Of Macerated Fibers and Vessels Using Deep Learning, by Saqib Qamar et al.
Summary of Core: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning, by Andreas W.m. Sauter et al.
Summary of Online Resource Allocation with Non-stationary Customers, by Xiaoyue Zhang et al.
Summary of Multiple Yield Curve Modeling and Forecasting Using Deep Learning, by Ronald Richman et al.
Summary of Causal Machine Learning For Cost-effective Allocation Of Development Aid, by Milan Kuzmanovic et al.
Summary of Evaluation Of Out-of-distribution Detection Performance on Autonomous Driving Datasets, by Jens Henriksson et al.
Summary of Heterogeneous Treatment Effect Estimation with Subpopulation Identification For Personalized Medicine in Opioid Use Disorder, by Seungyeon Lee et al.
Summary of Robust Kernel Sparse Subspace Clustering, by Ivica Kopriva
Summary of Data Organization Limits the Predictability Of Binary Classification, by Fei Jing et al.
Summary of Enhancing Gaussian Process Surrogates For Optimization and Posterior Approximation Via Random Exploration, by Hwanwoo Kim and Daniel Sanz-alonso
Summary of Retrieval Augmented Deep Anomaly Detection For Tabular Data, by Hugo Thimonier et al.
Summary of Calibration-then-calculation: a Variance Reduced Metric Framework in Deep Click-through Rate Prediction Models, by Yewen Fan et al.
Summary of Etuner: a Redundancy-aware Framework For Efficient Continual Learning Application on Edge Devices, by Sheng Li et al.
Summary of Multivariate Beta Mixture Model: Probabilistic Clustering with Flexible Cluster Shapes, by Yung-peng Hsu et al.
Summary of Smartfrz: An Efficient Training Framework Using Attention-based Layer Freezing, by Sheng Li et al.
Summary of Engineering a Large Language Model From Scratch, by Abiodun Finbarrs Oketunji
Summary of Widely Linear Matched Filter: a Lynchpin Towards the Interpretability Of Complex-valued Cnns, by Qingchen Wang et al.
Summary of Diffusion Model For Relational Inference, by Shuhan Zheng et al.
Summary of Ai Oversight and Human Mistakes: Evidence From Centre Court, by David Almog et al.
Summary of One-step Forward and Backtrack: Overcoming Zig-zagging in Loss-aware Quantization Training, by Lianbo Ma et al.
Summary of Swapnet: Efficient Swapping For Dnn Inference on Edge Ai Devices Beyond the Memory Budget, by Kun Wang et al.
Summary of Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning, by Chenan Wang et al.
Summary of Molpla: a Molecular Pretraining Framework For Learning Cores, R-groups and Their Linker Joints, by Mogan Gim et al.
Summary of Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator, by Ryoma Furuyama et al.
Summary of Activity Detection For Massive Connectivity in Cell-free Networks with Unknown Large-scale Fading, Channel Statistics, Noise Variance, and Activity Probability: a Bayesian Approach, by Hao Zhang et al.
Summary of In-flow: Instance Normalization Flow For Non-stationary Time Series Forecasting, by Wei Fan et al.
Summary of Graph Fairness Learning Under Distribution Shifts, by Yibo Li et al.
Summary of Hawkeye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function, by Mushir Akhtar et al.
Summary of Accelerated Cloud For Artificial Intelligence (acai), by Dachi Chen et al.
Summary of Performance Insights-based Ai-driven Football Transfer Fee Prediction, by Daniil Sulimov
Summary of Learnable Prompt As Pseudo-imputation: Rethinking the Necessity Of Traditional Ehr Data Imputation in Downstream Clinical Prediction, by Weibin Liao et al.
Summary of A Bayesian Gaussian Process-based Latent Discriminative Generative Decoder (ldgd) Model For High-dimensional Data, by Navid Ziaei et al.
Summary of Afsd-physics: Exploring the Governing Equations Of Temperature Evolution During Additive Friction Stir Deposition by a Human-ai Teaming Approach, By Tony Shi et al.
Summary of Mt-hccar: Multi-task Deep Learning with Hierarchical Classification and Attention-based Regression For Cloud Property Retrieval, by Xingyan Li et al.
Summary of Validation, Robustness, and Accuracy Of Perturbation-based Sensitivity Analysis Methods For Time-series Deep Learning Models, by Zhengguang Wang
Summary of Efficient Observation Time Window Segmentation For Administrative Data Machine Learning, by Musa Taib et al.
Summary of Deep Learning For Multi-label Learning: a Comprehensive Survey, by Adane Nega Tarekegn et al.
Summary of Autoencoder-based Domain Learning For Semantic Communication with Conceptual Spaces, by Dylan Wheeler and Balasubramaniam Natarajan
Summary of Learning a Gaussian Mixture For Sparsity Regularization in Inverse Problems, by Giovanni S. Alberti et al.
Summary of The Why, When, and How to Use Active Learning in Large-data-driven 3d Object Detection For Safe Autonomous Driving: An Empirical Exploration, by Ross Greer et al.
Summary of Improving Reinforcement Learning From Human Feedback with Efficient Reward Model Ensemble, by Shun Zhang et al.
Summary of Speeding Up and Reducing Memory Usage For Scientific Machine Learning Via Mixed Precision, by Joel Hayford et al.
Summary of Using Motion Forecasting For Behavior-based Virtual Reality (vr) Authentication, by Mingjun Li et al.
Summary of Augmenting Replay in World Models For Continual Reinforcement Learning, by Luke Yang et al.
Summary of Rademacher Complexity Of Neural Odes Via Chen-fliess Series, by Joshua Hanson et al.
Summary of Generalization Of Lingam That Allows Confounding, by Joe Suzuki and Tian-le Yang
Summary of Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models, by Fenghua Ling et al.
Summary of Fast Dual-regularized Autoencoder For Sparse Biological Data, by Aleksandar Poleksic
Summary of The Detection and Understanding Of Fictional Discourse, by Andrew Piper et al.
Summary of Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds For Surrogate Modeling and Uncertainty Quantification, by Dimitris G. Giovanis et al.
Summary of Communication-efficient Multimodal Federated Learning: Joint Modality and Client Selection, by Liangqi Yuan et al.
Summary of Is K-fold Cross Validation the Best Model Selection Method For Machine Learning?, by Juan M Gorriz et al.
Summary of Continual Learning with Pre-trained Models: a Survey, by Da-wei Zhou et al.
Summary of Retasa: a Nonparametric Functional Estimation Approach For Addressing Continuous Target Shift, by Hwanwoo Kim et al.
Summary of Learning to Manipulate Under Limited Information, by Wesley H. Holliday and Alexander Kristoffersen and Eric Pacuit
Summary of Boolean Logic As An Error Feedback Mechanism, by Louis Leconte
Summary of Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors, by Yidou Weng et al.
Summary of Two Stones Hit One Bird: Bilevel Positional Encoding For Better Length Extrapolation, by Zhenyu He et al.
Summary of Strategic Usage in a Multi-learner Setting, by Eliot Shekhtman and Sarah Dean
Summary of Informal Safety Guarantees For Simulated Optimizers Through Extrapolation From Partial Simulations, by Luke Marks
Summary of Synchformer: Efficient Synchronization From Sparse Cues, by Vladimir Iashin et al.
Summary of Do Deep Neural Networks Utilize the Weight Space Efficiently?, by Onur Can Koyun et al.
Summary of Distribution-specific Auditing For Subgroup Fairness, by Daniel Hsu et al.
Summary of Ai in Energy Digital Twining: a Reinforcement Learning-based Adaptive Digital Twin Model For Green Cities, by Lal Verda Cakir et al.
Summary of Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action, by Tasfia Mashiat et al.
Summary of Faknow: a Unified Library For Fake News Detection, by Yiyuan Zhu et al.
Summary of Context-former: Stitching Via Latent Conditioned Sequence Modeling, by Ziqi Zhang et al.
Summary of Effective Controllable Bias Mitigation For Classification and Retrieval Using Gate Adapters, by Shahed Masoudian et al.