Paper List

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Summary of Risk-averse Learning with Delayed Feedback, by Siyi Wang et al.
Summary of Revisiting Space Mission Planning: a Reinforcement Learning-guided Approach For Multi-debris Rendezvous, by Agni Bandyopadhyay and Guenther Waxenegger-wilfing
Summary of Discriminative Anchor Learning For Efficient Multi-view Clustering, by Yalan Qin and Nan Pu and Hanzhou Wu and Nicu Sebe
Summary of Alignedkv: Reducing Memory Access Of Kv-cache with Precision-aligned Quantization, by Yifan Tan and Haoze Wang and Chao Yan and Yangdong Deng
Summary of Monge-kantorovich Fitting with Sobolev Budgets, by Forest Kobayashi et al.
Summary of Autostf: Decoupled Neural Architecture Search For Cost-effective Automated Spatio-temporal Forecasting, by Tengfei Lyu et al.
Summary of Pre-trained Graphformer-based Ranking at Web-scale Search (extended Abstract), by Yuchen Li et al.
Summary of Efficient and Generalizable Nested Fourier-deeponet For Three-dimensional Geological Carbon Sequestration, by Jonathan E. Lee et al.
Summary of Evaluating and Enhancing Large Language Models For Novelty Assessment in Scholarly Publications, by Ethan Lin et al.
Summary of Stochastic Subsampling with Average Pooling, by Bum Jun Kim et al.
Summary of Random Forest Regression Feature Importance For Climate Impact Pathway Detection, by Meredith G. L. Brown et al.
Summary of Ascend Hifloat8 Format For Deep Learning, by Yuanyong Luo et al.
Summary of Functional Stochastic Gradient Mcmc For Bayesian Neural Networks, by Mengjing Wu et al.
Summary of Task Addition in Multi-task Learning by Geometrical Alignment, By Soorin Yim et al.
Summary of Domain-independent Automatic Generation Of Descriptive Texts For Time-series Data, by Kota Dohi et al.
Summary of The Credibility Transformer, by Ronald Richman et al.
Summary of Learning Representation For Multitask Learning Through Self Supervised Auxiliary Learning, by Seokwon Shin et al.
Summary of Swe2: Subword Enriched and Significant Word Emphasized Framework For Hate Speech Detection, by Guanyi Mou et al.
Summary of Graphlora: Structure-aware Contrastive Low-rank Adaptation For Cross-graph Transfer Learning, by Zhe-rui Yang et al.
Summary of Layout-corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model, by Shoma Iwai et al.
Summary of Erase Then Rectify: a Training-free Parameter Editing Approach For Cost-effective Graph Unlearning, by Zhe-rui Yang et al.
Summary of A Survey Of Low-bit Large Language Models: Basics, Systems, and Algorithms, by Ruihao Gong et al.
Summary of Pmss: Pretrained Matrices Skeleton Selection For Llm Fine-tuning, by Qibin Wang et al.
Summary of Quality Matters: Evaluating Synthetic Data For Tool-using Llms, by Shadi Iskander et al.
Summary of Patch-based Contrastive Learning and Memory Consolidation For Online Unsupervised Continual Learning, by Cameron Taylor et al.
Summary of Development and Application Of a Sentinel-2 Satellite Imagery Dataset For Deep-learning Driven Forest Wildfire Detection, by Valeria Martin et al.
Summary of Rao-blackwellized Pomdp Planning, by Jiho Lee et al.
Summary of Towards Representation Learning For Weighting Problems in Design-based Causal Inference, by Oscar Clivio et al.
Summary of Evaluating Blocking Biases in Entity Matching, by Mohammad Hossein Moslemi et al.
Summary of Modern Hopfield Networks Meet Encoded Neural Representations — Addressing Practical Considerations, by Satyananda Kashyap et al.
Summary of Is All Learning (natural) Gradient Descent?, by Lucas Shoji et al.
Summary of Statistical Tuning Of Artificial Neural Network, by Mohamad Yamen Al Mohamad et al.
Summary of Leveraging Local Structure For Improving Model Explanations: An Information Propagation Approach, by Ruo Yang et al.
Summary of Lessons Learned From a Unifying Empirical Study Of Parameter-efficient Transfer Learning (petl) in Visual Recognition, by Zheda Mai et al.
Summary of Generative Ai-driven Forecasting Of Oil Production, by Yash Gandhi et al.
Summary of Communication and Energy Efficient Federated Learning Using Zero-order Optimization Technique, by Elissa Mhanna and Mohamad Assaad
Summary of Exploring Knowledge Tracing in Tutor-student Dialogues Using Llms, by Alexander Scarlatos and Ryan S. Baker and Andrew Lan
Summary of Gsplatloc: Grounding Keypoint Descriptors Into 3d Gaussian Splatting For Improved Visual Localization, by Gennady Sidorov et al.
Summary of Learning Linear Dynamics From Bilinear Observations, by Yahya Sattar et al.
Summary of Flight: a Faas-based Framework For Complex and Hierarchical Federated Learning, by Nathaniel Hudson et al.
Summary of A Qoe-aware Split Inference Accelerating Algorithm For Noma-based Edge Intelligence, by Xin Yuan et al.
Summary of Emit- Event-based Masked Auto Encoding For Irregular Time Series, by Hrishikesh Patel et al.
Summary of Source-free Domain Adaptation For Yolo Object Detection, by Simon Varailhon et al.
Summary of A Decision-theoretic Model For a Principal-agent Collaborative Learning Problem, by Getachew K Befekadu
Summary of Self-attention As An Attractor Network: Transient Memories Without Backpropagation, by Francesco D’amico et al.
Summary of Learning with Confidence: Training Better Classifiers From Soft Labels, by Sjoerd De Vries and Dirk Thierens
Summary of Assessing Simplification Levels in Neural Networks: the Impact Of Hyperparameter Configurations on Complexity and Sensitivity, by (joy) Huixin Guan
Summary of Tabebm: a Tabular Data Augmentation Method with Distinct Class-specific Energy-based Models, by Andrei Margeloiu et al.
Summary of Seeing Faces in Things: a Model and Dataset For Pareidolia, by Mark Hamilton et al.
Summary of Merging Loras Like Playing Lego: Pushing the Modularity Of Lora to Extremes Through Rank-wise Clustering, by Ziyu Zhao et al.
Summary of Second Order Bounds For Contextual Bandits with Function Approximation, by Aldo Pacchiano
Summary of Maskbit: Embedding-free Image Generation Via Bit Tokens, by Mark Weber et al.
Summary of Deep Learning For Precision Agriculture: Post-spraying Evaluation and Deposition Estimation, by Harry Rogers et al.
Summary of Problem-oriented Automl in Clustering, by Matheus Camilo Da Silva et al.
Summary of Fine-tuning Is Fine, If Calibrated, by Zheda Mai et al.
Summary of Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling, by Henry Musto et al.
Summary of Fields Of the World: a Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation, by Hannah Kerner et al.
Summary of Learning to Help: Training Models to Assist Legacy Devices, by Yu Wu et al.
Summary of Gencad: Image-conditioned Computer-aided Design Generation with Transformer-based Contrastive Representation and Diffusion Priors, by Md Ferdous Alam et al.
Summary of Probabilistic Spatiotemporal Modeling Of Day-ahead Wind Power Generation with Input-warped Gaussian Processes, by Qiqi Li and Mike Ludkovski
Summary of Weatherformer: Empowering Global Numerical Weather Forecasting with Space-time Transformer, by Junchao Gong et al.
Summary of Automated Spatio-temporal Weather Modeling For Load Forecasting, by Julie Keisler (cristal et al.
Summary of Refereeing the Referees: Evaluating Two-sample Tests For Validating Generators in Precision Sciences, by Samuele Grossi et al.
Summary of Development and Validation Of Heparin Dosing Policies Using An Offline Reinforcement Learning Algorithm, by Yooseok Lim et al.
Summary of Tfg: Unified Training-free Guidance For Diffusion Models, by Haotian Ye et al.
Summary of Spatial-temporal Mixture-of-graph-experts For Multi-type Crime Prediction, by Ziyang Wu et al.
Summary of Zero-shot Forecasting Of Chaotic Systems, by Yuanzhao Zhang and William Gilpin
Summary of Small Language Models: Survey, Measurements, and Insights, by Zhenyan Lu et al.
Summary of Towards Universal Large-scale Foundational Model For Natural Gas Demand Forecasting, by Xinxing Zhou et al.
Summary of Supervised Fine-tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns, by Yang Zhao et al.
Summary of Adaptive Learn-then-test: Statistically Valid and Efficient Hyperparameter Selection, by Matteo Zecchin et al.
Summary of Aided Design Of Bridge Aesthetics Based on Stable Diffusion Fine-tuning, by Leye Zhang et al.
Summary of Fedrepopt: Gradient Re-parametrized Optimizers in Federated Learning, by Kin Wai Lau et al.
Summary of Igaiva: Integrated Generative Ai and Visual Analytics in a Machine Learning Workflow For Text Classification, by Yuanzhe Jin et al.
Summary of Privacy Evaluation Benchmarks For Nlp Models, by Wei Huang et al.
Summary of Self-supervised Graph Embedding Clustering, by Fangfang Li et al.
Summary of The Dark Side Of Rich Rewards: Understanding and Mitigating Noise in Vlm Rewards, by Sukai Huang et al.
Summary of Automated Test Generation to Evaluate Tool-augmented Llms As Conversational Ai Agents, by Samuel Arcadinho et al.
Summary of A Historical Trajectory Assisted Optimization Method For Zeroth-order Federated Learning, by Chenlin Wu et al.
Summary of Provably Efficient Exploration in Inverse Constrained Reinforcement Learning, by Bo Yue et al.
Summary of Improvements to Sdxl in Novelai Diffusion V3, by Juan Ossa et al.
Summary of Time-moe: Billion-scale Time Series Foundation Models with Mixture Of Experts, by Xiaoming Shi et al.
Summary of Edge-device Collaborative Computing For Multi-view Classification, by Marco Palena et al.
Summary of Generalization Vs. Specialization Under Concept Shift, by Alex Nguyen et al.
Summary of Beyond Turn-based Interfaces: Synchronous Llms As Full-duplex Dialogue Agents, by Bandhav Veluri et al.
Summary of Deep Learning Approach For Knee Point Detection on Noisy Data, by Ting Yan Fok et al.
Summary of Polyatomic Complexes: a Topologically-informed Learning Representation For Atomistic Systems, by Rahul Khorana et al.
Summary of Revolutionizing Biomarker Discovery: Leveraging Generative Ai For Bio-knowledge-embedded Continuous Space Exploration, by Wangyang Ying et al.
Summary of Data Augmentation For Sparse Multidimensional Learning Performance Data Using Generative Ai, by Liang Zhang et al.
Summary of Reinforcement Feature Transformation For Polymer Property Performance Prediction, by Xuanming Hu et al.
Summary of Personalized Federated Learning Via Backbone Self-distillation, by Pengju Wang and Bochao Liu and Dan Zeng and Chenggang Yan and Shiming Ge
Summary of Looped Transformers For Length Generalization, by Ying Fan et al.
Summary of English Offensive Text Detection Using Cnn Based Bi-gru Model, by Tonmoy Roy et al.
Summary of Double-path Adaptive-correlation Spatial-temporal Inverted Transformer For Stock Time Series Forecasting, by Wenbo Yan and Ying Tan
Summary of Distributed Online Bandit Nonconvex Optimization with One-point Residual Feedback Via Dynamic Regret, by Youqing Hua et al.
Summary of Linear Contextual Bandits with Interference, by Yang Xu et al.
Summary of Gisexplainer: on Explainability Of Graph Neural Networks Via Game-theoretic Interaction Subgraphs, by Xingping Xian et al.
Summary of Adversarial Federated Consensus Learning For Surface Defect Classification Under Data Heterogeneity in Iiot, by Jixuan Cui et al.
Summary of Federated Large Language Models: Current Progress and Future Directions, by Yuhang Yao et al.
Summary of Applying Incremental Learning in Binary-addition-tree Algorithm For Dynamic Binary-state Network Reliability, by Wei-chang Yeh