Paper List

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Summary of Spatial-temporal Large Language Model For Traffic Prediction, by Chenxi Liu et al.
Summary of Explicitly Disentangled Representations in Object-centric Learning, by Riccardo Majellaro et al.
Summary of Multi-agent Reinforcement Learning For Maritime Operational Technology Cyber Security, by Alec Wilson et al.
Summary of Land Cover Image Classification, by Antonio Rangel et al.
Summary of Efficient Generative Adversarial Networks Using Linear Additive-attention Transformers, by Emilio Morales-juarez and Gibran Fuentes-pineda
Summary of Learning Shortcuts: on the Misleading Promise Of Nlu in Language Models, by Geetanjali Bihani et al.
Summary of Multiple Locally Linear Kernel Machines, by David Picard
Summary of Physics-informed Calibration Of Aeromagnetic Compensation in Magnetic Navigation Systems Using Liquid Time-constant Networks, by Favour Nerrise (1 and 2) et al.
Summary of Functional Linear Non-gaussian Acyclic Model For Causal Discovery, by Tian-le Yang et al.
Summary of Climategpt: Towards Ai Synthesizing Interdisciplinary Research on Climate Change, by David Thulke and Yingbo Gao and Petrus Pelser and Rein Brune and Rricha Jalota and Floris Fok and Michael Ramos and Ian Van Wyk and Abdallah Nasir and Hayden Goldstein and Taylor Tragemann and Katie Nguyen and Ariana Fowler and Andrew Stanco and Jon Gabriel and Jordan Taylor and Dean Moro and Evgenii Tsymbalov and Juliette De Waal and Evgeny Matusov and Mudar Yaghi and Mohammad Shihadah and Hermann Ney and Christian Dugast and Jonathan Dotan and Daniel Erasmus
Summary of Convex and Bilevel Optimization For Neuro-symbolic Inference and Learning, by Charles Dickens et al.
Summary of Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks, by Tan Chen et al.
Summary of Harnessing Density Ratios For Online Reinforcement Learning, by Philip Amortila et al.
Summary of Towards Identifiable Unsupervised Domain Translation: a Diversified Distribution Matching Approach, by Sagar Shrestha and Xiao Fu
Summary of Comparative Study on the Performance Of Categorical Variable Encoders in Classification and Regression Tasks, by Wenbin Zhu et al.
Summary of Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack, by Zhongliang Guo et al.
Summary of Exploration and Anti-exploration with Distributional Random Network Distillation, by Kai Yang et al.
Summary of Offline Imitation Learning by Controlling the Effective Planning Horizon, By Hee-jun Ahn et al.
Summary of Applications Of Machine Learning to Optimizing Polyolefin Manufacturing, by Niket Sharma and Y.a. Liu
Summary of Universally Robust Graph Neural Networks by Preserving Neighbor Similarity, By Yulin Zhu et al.
Summary of Explaining Drift Using Shapley Values, by Narayanan U. Edakunni and Utkarsh Tekriwal and Anukriti Jain
Summary of Querying Easily Flip-flopped Samples For Deep Active Learning, by Seong Jin Cho et al.
Summary of A Fast, Performant, Secure Distributed Training Framework For Large Language Model, by Wei Huang et al.
Summary of Rolecraft-glm: Advancing Personalized Role-playing in Large Language Models, by Meiling Tao et al.
Summary of Crd: Collaborative Representation Distance For Practical Anomaly Detection, by Chao Han and Yudong Yan
Summary of Explainable Multimodal Sentiment Analysis on Bengali Memes, by Kazi Toufique Elahi et al.
Summary of Learning with Geometry: Including Riemannian Geometric Features in Coefficient Of Pressure Prediction on Aircraft Wings, by Liwei Hu et al.
Summary of Voila-a: Aligning Vision-language Models with User’s Gaze Attention, by Kun Yan et al.
Summary of Triamese-vit: a 3d-aware Method For Robust Brain Age Estimation From Mris, by Zhaonian Zhang and Richard Jiang
Summary of Loma: Lossless Compressed Memory Attention, by Yumeng Wang et al.
Summary of Functional Autoencoder For Smoothing and Representation Learning, by Sidi Wu et al.
Summary of Pupae: Intuitive and Actionable Explanations For Time Series Anomalies, by Audrey Der et al.
Summary of Technical Report: on the Convergence Of Gossip Learning in the Presence Of Node Inaccessibility, by Tian Liu et al.
Summary of Deep Ensemble Shape Calibration: Multi-field Post-hoc Calibration in Online Advertising, by Shuai Yang et al.
Summary of Enhancing Surveillance Camera Fov Quality Via Semantic Line Detection and Classification with Deep Hough Transform, by Andrew C. Freeman et al.
Summary of Accelerating Data Generation For Neural Operators Via Krylov Subspace Recycling, by Hong Wang et al.
Summary of Dimensional Neuroimaging Endophenotypes: Neurobiological Representations Of Disease Heterogeneity Through Machine Learning, by Junhao Wen et al.
Summary of Improving Classification Performance with Human Feedback: Label a Few, We Label the Rest, by Natan Vidra et al.
Summary of Sharing Knowledge in Multi-task Deep Reinforcement Learning, by Carlo D’eramo et al.
Summary of Towards Scalable and Robust Model Versioning, by Wenxin Ding et al.
Summary of Eipy: An Open-source Python Package For Multi-modal Data Integration Using Heterogeneous Ensembles, by Jamie J. R. Bennett et al.
Summary of Robustness Evaluation Of Machine Learning Models For Robot Arm Action Recognition in Noisy Environments, by Elaheh Motamedi et al.
Summary of Bilevel Optimization Under Unbounded Smoothness: a New Algorithm and Convergence Analysis, by Jie Hao et al.
Summary of An Optimal Transport Approach For Computing Adversarial Training Lower Bounds in Multiclass Classification, by Nicolas Garcia Trillos et al.
Summary of A Characterization Theorem For Equivariant Networks with Point-wise Activations, by Marco Pacini et al.
Summary of Gnn-lofi: a Novel Graph Neural Network Through Localized Feature-based Histogram Intersection, by Alessandro Bicciato et al.
Summary of Space and Time Continuous Physics Simulation From Partial Observations, by Janny Steeven et al.
Summary of Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?, by Jan Rathjens and Laurenz Wiskott
Summary of Bridging the Gap Between General and Down-closed Convex Sets in Submodular Maximization, by Loay Mualem et al.
Summary of A First-order Multi-gradient Algorithm For Multi-objective Bi-level Optimization, by Feiyang Ye et al.
Summary of Mshyper: Multi-scale Hypergraph Transformer For Long-range Time Series Forecasting, by Zongjiang Shang et al.
Summary of Risk-aware Accelerated Wireless Federated Learning with Heterogeneous Clients, by Mohamed Ads et al.
Summary of Adaptive Regret For Bandits Made Possible: Two Queries Suffice, by Zhou Lu et al.
Summary of Beno: Boundary-embedded Neural Operators For Elliptic Pdes, by Haixin Wang et al.
Summary of Central Limit Theorem For Two-timescale Stochastic Approximation with Markovian Noise: Theory and Applications, by Jie Hu et al.
Summary of Machines Do See Color: a Guideline to Classify Different Forms Of Racist Discourse in Large Corpora, by Diana Davila Gordillo et al.
Summary of High Confidence Level Inference Is Almost Free Using Parallel Stochastic Optimization, by Wanrong Zhu et al.
Summary of Sceneverse: Scaling 3d Vision-language Learning For Grounded Scene Understanding, by Baoxiong Jia et al.
Summary of Deciphering Textual Authenticity: a Generalized Strategy Through the Lens Of Large Language Semantics For Detecting Human Vs. Machine-generated Text, by Mazal Bethany et al.
Summary of Online Performance Estimation with Unlabeled Data: a Bayesian Application Of the Hui-walter Paradigm, by Kevin Slote et al.
Summary of Vlogger: Make Your Dream a Vlog, by Shaobin Zhuang et al.
Summary of Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model, by Lianghui Zhu et al.
Summary of Transduce: Learning Transduction Grammars For String Transformation, by Francis Frydman et al.
Summary of Micronas: Zero-shot Neural Architecture Search For Mcus, by Ye Qiao et al.
Summary of Augmenting Math Word Problems Via Iterative Question Composing, by Haoxiong Liu et al.
Summary of Continuous Time Continuous Space Homeostatic Reinforcement Learning (ctcs-hrrl) : Towards Biological Self-autonomous Agent, by Hugo Laurencon et al.
Summary of Inductive Models For Artificial Intelligence Systems Are Insufficient Without Good Explanations, by Udesh Habaraduwa
Summary of Residual Alignment: Uncovering the Mechanisms Of Residual Networks, by Jianing Li et al.
Summary of Data Attribution For Diffusion Models: Timestep-induced Bias in Influence Estimation, by Tong Xie et al.
Summary of Consistent3d: Towards Consistent High-fidelity Text-to-3d Generation with Deterministic Sampling Prior, by Zike Wu et al.
Summary of Towards Continual Learning Desiderata Via Hsic-bottleneck Orthogonalization and Equiangular Embedding, by Depeng Li et al.
Summary of Dtmm: Deploying Tinyml Models on Extremely Weak Iot Devices with Pruning, by Lixiang Han et al.
Summary of Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering, by Jingwei Guo et al.
Summary of Fixed-budget Differentially Private Best Arm Identification, by Zhirui Chen et al.
Summary of Rwkv-ts: Beyond Traditional Recurrent Neural Network For Time Series Tasks, by Haowen Hou and F. Richard Yu
Summary of Code Simulation Challenges For Large Language Models, by Emanuele La Malfa et al.
Summary of Asynchronous Local-sgd Training For Language Modeling, by Bo Liu et al.
Summary of Adcnet: a Unified Framework For Predicting the Activity Of Antibody-drug Conjugates, by Liye Chen et al.
Summary of Understanding Heterophily For Graph Neural Networks, by Junfu Wang et al.
Summary of Beyond Anti-forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer, by Junhao Zheng et al.
Summary of A Two-scale Complexity Measure For Deep Learning Models, by Massimiliano Datres et al.
Summary of Exploring the Role Of Convolutional Neural Networks (cnn) in Dental Radiography Segmentation: a Comprehensive Systematic Literature Review, by Walid Brahmi and Imen Jdey and Fadoua Drira
Summary of Preparing Lessons For Progressive Training on Language Models, by Yu Pan et al.
Summary of Dcrmta: Unbiased Causal Representation For Multi-touch Attribution, by Jiaming Tang
Summary of Mambatab: a Plug-and-play Model For Learning Tabular Data, by Md Atik Ahamed and Qiang Cheng
Summary of Riemannonets: Interpretable Neural Operators For Riemann Problems, by Ahmad Peyvan et al.
Summary of Mada: Meta-adaptive Optimizers Through Hyper-gradient Descent, by Kaan Ozkara et al.
Summary of Cedar: Optimized and Unified Machine Learning Input Data Pipelines, by Mark Zhao et al.
Summary of Cfasl: Composite Factor-aligned Symmetry Learning For Disentanglement in Variational Autoencoder, by Hee-jun Jung et al.
Summary of Leveraging Gradients For Unsupervised Accuracy Estimation Under Distribution Shift, by Renchunzi Xie et al.
Summary of Bridging State and History Representations: Understanding Self-predictive Rl, by Tianwei Ni et al.
Summary of Rethinking Impersonation and Dodging Attacks on Face Recognition Systems, by Fengfan Zhou et al.
Summary of A Context-contrastive Inference Approach to Partial Diacritization, by Muhammad Elnokrashy et al.
Summary of Delf: Designing Learning Environments with Foundation Models, by Aida Afshar et al.
Summary of Cel: a Continual Learning Model For Disease Outbreak Prediction by Leveraging Domain Adaptation Via Elastic Weight Consolidation, By Saba Aslam et al.
Summary of Towards Off-policy Reinforcement Learning For Ranking Policies with Human Feedback, by Teng Xiao et al.
Summary of Act-gan: Radio Map Construction Based on Generative Adversarial Networks with Act Blocks, by Chen Qi et al.
Summary of Cascading Reinforcement Learning, by Yihan Du et al.
Summary of Fedloge: Joint Local and Generic Federated Learning Under Long-tailed Data, by Zikai Xiao et al.
Summary of A Gan-based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning, by Xiaolin Chen et al.