Paper List

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Summary of Deep Learning Based Superconductivity: Prediction and Experimental Tests, by Daniel Kaplan et al.
Summary of Neural Control and Certificate Repair Via Runtime Monitoring, by Emily Yu et al.
Summary of Boosting Test Performance with Importance Sampling–a Subpopulation Perspective, by Hongyu Shen and Zhizhen Zhao
Summary of An Advantage-based Optimization Method For Reinforcement Learning in Large Action Space, by Hai Lin et al.
Summary of Auto-cypher: Improving Llms on Cypher Generation Via Llm-supervised Generation-verification Framework, by Aman Tiwari et al.
Summary of Neighbor-aware Reinforcement Learning For Mixed Traffic Optimization in Large-scale Networks, by Iftekharul Islam and Weizi Li
Summary of Building Gradient Bridges: Label Leakage From Restricted Gradient Sharing in Federated Learning, by Rui Zhang et al.
Summary of Lagrangian Index Policy For Restless Bandits with Average Reward, by Konstantin Avrachenkov et al.
Summary of Rdpi: a Refine Diffusion Probability Generation Method For Spatiotemporal Data Imputation, by Zijin Liu and Xiang Zhao and You Song
Summary of Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network For Seeg Soz Identification, by Huachao Yan et al.
Summary of A Two-fold Patch Selection Approach For Improved 360-degree Image Quality Assessment, by Abderrezzaq Sendjasni et al.
Summary of Uncertainty-aware Hybrid Inference with On-device Small and Remote Large Language Models, by Seungeun Oh et al.
Summary of Parmod: a Parallel and Modular Framework For Learning Non-markovian Tasks, by Ruixuan Miao et al.
Summary of Your Next State-of-the-art Could Come From Another Domain: a Cross-domain Analysis Of Hierarchical Text Classification, by Nan Li et al.
Summary of Deep Learning For Resilient Adversarial Decision Fusion in Byzantine Networks, by Kassem Kallas
Summary of Progressive Monitoring Of Generative Model Training Evolution, by Vidya Prasad et al.
Summary of Versatile Ordering Network: An Attention-based Neural Network For Ordering Across Scales and Quality Metrics, by Zehua Yu et al.
Summary of Scrutinizing the Vulnerability Of Decentralized Learning to Membership Inference Attacks, by Ousmane Touat et al.
Summary of Multi-view Incremental Learning with Structured Hebbian Plasticity For Enhanced Fusion Efficiency, by Yuhong Chen et al.
Summary of Benchmarking and Understanding Compositional Relational Reasoning Of Llms, by Ruikang Ni et al.
Summary of Boosting Fine-grained Visual Anomaly Detection with Coarse-knowledge-aware Adversarial Learning, by Qingqing Fang et al.
Summary of Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation, by Jiaqi Wang et al.
Summary of Geodesic Flow Kernels For Semi-supervised Learning on Mixed-variable Tabular Dataset, by Yoontae Hwang et al.
Summary of Interpretable Llm-based Table Question Answering, by Giang (dexter) Nguyen et al.
Summary of Causally Consistent Normalizing Flow, by Qingyang Zhou et al.
Summary of Efficient Scaling Of Diffusion Transformers For Text-to-image Generation, by Hao Li et al.
Summary of Deepsn: a Sheaf Neural Framework For Influence Maximization, by Asela Hevapathige et al.
Summary of Bridging the Gap: Enhancing Llm Performance For Low-resource African Languages with New Benchmarks, Fine-tuning, and Cultural Adjustments, by Tuka Alhanai et al.
Summary of Refining Dimensions For Improving Clustering-based Cross-lingual Topic Models, by Chia-hsuan Chang et al.
Summary of Numerical Pruning For Efficient Autoregressive Models, by Xuan Shen et al.
Summary of Lazydit: Lazy Learning For the Acceleration Of Diffusion Transformers, by Xuan Shen et al.
Summary of Adversarially Robust Generalization Theory Via Jacobian Regularization For Deep Neural Networks, by Dongya Wu and Xin Li
Summary of Graph Learning in the Era Of Llms: a Survey From the Perspective Of Data, Models, and Tasks, by Xunkai Li et al.
Summary of Core Context Aware Attention For Long Context Language Modeling, by Yaofo Chen et al.
Summary of A Method For Enhancing Generalization Of Adam by Multiple Integrations, By Long Jin et al.
Summary of Transferable and Forecastable User Targeting Foundation Model, by Bin Dou et al.
Summary of Autosgnn: Automatic Propagation Mechanism Discovery For Spectral Graph Neural Networks, by Shibing Mo et al.
Summary of Subversion Strategy Eval: Can Language Models Statelessly Strategize to Subvert Control Protocols?, by Alex Mallen et al.
Summary of Echo: Simulating Distributed Training at Scale, by Yicheng Feng et al.
Summary of Unleashing the Potential Of Model Bias For Generalized Category Discovery, by Wenbin An et al.
Summary of Stiefel Flow Matching For Moment-constrained Structure Elucidation, by Austin Cheng et al.
Summary of License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation, by Zahra Ebrahimi Vargoorani et al.
Summary of Distribution-free Uncertainty Quantification in Mechanical Ventilation Treatment: a Conformal Deep Q-learning Framework, by Niloufar Eghbali et al.
Summary of See: Sememe Entanglement Encoding For Transformer-bases Models Compression, by Jing Zhang et al.
Summary of The Ai Black-scholes: Finance-informed Neural Network, by Amine M. Aboussalah et al.
Summary of Imagined Speech State Classification For Robust Brain-computer Interface, by Byung-kwan Ko et al.
Summary of Sitpose: Real-time Detection Of Sitting Posture and Sedentary Behavior Using Ensemble Learning with Depth Sensor, by Hang Jin et al.
Summary of Accelerating Sparse Graph Neural Networks with Tensor Core Optimization, by Ka Wai Wu
Summary of Are Large Language Models Useful For Time Series Data Analysis?, by Francis Tang et al.
Summary of Dlf: Disentangled-language-focused Multimodal Sentiment Analysis, by Pan Wang et al.
Summary of Apollo-forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models For Time Series Forecasting, by Tianyi Yin et al.
Summary of Edformer: Embedded Decomposition Transformer For Interpretable Multivariate Time Series Predictions, by Sanjay Chakraborty et al.
Summary of You Only Submit One Image to Find the Most Suitable Generative Model, by Zhi Zhou et al.
Summary of Deep Learning For Hydroelectric Optimization: Generating Long-term River Discharge Scenarios with Ensemble Forecasts From Global Circulation Models, by Julio Alberto Silva Dias
Summary of Omniprism: Learning Disentangled Visual Concept For Image Generation, by Yangyang Li et al.
Summary of Emergence Of Abstractions: Concept Encoding and Decoding Mechanism For In-context Learning in Transformers, by Seungwook Han et al.
Summary of Rag Playground: a Framework For Systematic Evaluation Of Retrieval Strategies and Prompt Engineering in Rag Systems, by Ioannis Papadimitriou et al.
Summary of Leveraging Group Classification with Descending Soft Labeling For Deep Imbalanced Regression, by Ruizhi Pu et al.
Summary of Autoscilab: a Self-driving Laboratory For Interpretable Scientific Discovery, by Saaketh Desai et al.
Summary of Krony-pt: Gpt2 Compressed with Kronecker Products, by M. Ayoub Ben Ayad et al.
Summary of Scam Detection For Ethereum Smart Contracts: Leveraging Graph Representation Learning For Secure Blockchain, by Yihong Jin et al.
Summary of Privacy in Metalearning and Multitask Learning: Modeling and Separations, by Maryam Aliakbarpour et al.
Summary of Development Of An End-to-end Machine Learning System with Application to In-app Purchases, by Dionysios Varelas et al.
Summary of Revisiting Weight Averaging For Model Merging, by Jiho Choi et al.
Summary of Pyod 2: a Python Library For Outlier Detection with Llm-powered Model Selection, by Sihan Chen et al.
Summary of Adapting Unsigned Graph Neural Networks For Signed Graphs: a Few-shot Prompt Tuning Approach, by Zian Zhai et al.
Summary of Hyperbolic Hypergraph Neural Networks For Multi-relational Knowledge Hypergraph Representation, by Mengfan Li et al.
Summary of Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation, by Yangxuan Zhou et al.
Summary of Climate Aware Deep Neural Networks (cadnn) For Wind Power Simulation, by Ali Forootani et al.
Summary of Discover Physical Concepts and Equations with Machine Learning, by Bao-bing Li et al.
Summary of Towards Llm-based Optimization Compilers. Can Llms Learn How to Apply a Single Peephole Optimization? Reasoning Is All Llms Need!, by Xiangxin Fang and Lev Mukhanov
Summary of Gamed: Knowledge Adaptive Multi-experts Decoupling For Multimodal Fake News Detection, by Lingzhi Shen et al.
Summary of Multimodal Approaches to Fair Image Classification: An Ethical Perspective, by Javon Hickmon
Summary of A Decomposition Modeling Framework For Seasonal Time-series Forecasting, by Yining Pang and Chenghan Li
Summary of Pickllm: Context-aware Rl-assisted Large Language Model Routing, by Dimitrios Sikeridis et al.
Summary of Regulation Of Language Models with Interpretability Will Likely Result in a Performance Trade-off, by Eoin M. Kenny and Julie A. Shah
Summary of Activation Sparsity Opportunities For Compressing General Large Language Models, by Nobel Dhar et al.
Summary of Model-diff: a Tool For Comparative Study Of Language Models in the Input Space, by Weitang Liu et al.
Summary of Adopting Explainable-ai to Investigate the Impact Of Urban Morphology Design on Energy and Environmental Performance in Dry-arid Climates, by Pegah Eshraghi et al.
Summary of Graph Similarity Computation Via Interpretable Neural Node Alignment, by Jingjing Wang et al.
Summary of Imot: Inertial Motion Transformer For Inertial Navigation, by Son Minh Nguyen et al.
Summary of Multi-surrogate-teacher Assistance For Representation Alignment in Fingerprint-based Indoor Localization, by Son Minh Nguyen et al.
Summary of Embracing Large Language Models in Traffic Flow Forecasting, by Yusheng Zhao et al.
Summary of The Open Source Advantage in Large Language Models (llms), by Jiya Manchanda et al.
Summary of Learning to Navigate in Mazes with Novel Layouts Using Abstract Top-down Maps, by Linfeng Zhao et al.
Summary of Memory-reduced Meta-learning with Guaranteed Convergence, by Honglin Yang et al.
Summary of Learn: Learnable and Adaptive Representations For Nonlinear Dynamics in System Identification, by Arunabh Singh and Joyjit Mukherjee
Summary of Llms For Cold-start Cutting Plane Separator Configuration, by Connor Lawless et al.
Summary of Sepllm: Accelerate Large Language Models by Compressing One Segment Into One Separator, By Guoxuan Chen et al.
Summary of Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation, by Eliot Xing et al.
Summary of No More Tuning: Prioritized Multi-task Learning with Lagrangian Differential Multiplier Methods, by Zhengxing Cheng et al.
Summary of Maxinforl: Boosting Exploration in Reinforcement Learning Through Information Gain Maximization, by Bhavya Sukhija et al.
Summary of Scenediffuser: Efficient and Controllable Driving Simulation Initialization and Rollout, by Chiyu Max Jiang et al.
Summary of Ai-driven Inverse Design Of Band-tunable Mechanical Metastructures For Tailored Vibration Mitigation, by Tanuj Gupta et al.
Summary of Mastering Board Games by External and Internal Planning with Language Models, By John Schultz et al.
Summary of Frontier Ai Systems Have Surpassed the Self-replicating Red Line, by Xudong Pan et al.
Summary of Harnessing Transfer Learning From Swahili: Advancing Solutions For Comorian Dialects, by Naira Abdou Mohamed et al.
Summary of How to Choose a Threshold For An Evaluation Metric For Large Language Models, by Bhaskarjit Sarmah et al.
Summary of Meta-controller: Few-shot Imitation Of Unseen Embodiments and Tasks in Continuous Control, by Seongwoong Cho et al.
Summary of Mhsa: a Multi-scale Hypergraph Network For Mild Cognitive Impairment Detection Via Synchronous and Attentive Fusion, by Manman Yuan et al.