Paper List

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Summary of Mosh: Modeling Multi-objective Tradeoffs with Soft and Hard Bounds, by Edward Chen et al.
Summary of Homogeneous Dynamics Space For Heterogeneous Humans, by Xinpeng Liu et al.
Summary of Advancements in Machine Learning and Deep Learning For Early Detection and Management Of Mental Health Disorder, by Kamala Devi Kannan et al.
Summary of Open-source Acceleration Of Stable-diffusion.cpp Deployable on All Devices, by Jingxu Ng et al.
Summary of Two-way Deconfounder For Off-policy Evaluation in Causal Reinforcement Learning, by Shuguang Yu et al.
Summary of Language-guided Image Tokenization For Generation, by Kaiwen Zha et al.
Summary of Risk Factor Identification and Classification Of Malnutrition Among Under-five Children in Bangladesh: Machine Learning and Statistical Approach, by Tasfin Mahmud et al.
Summary of Silmm: Self-improving Large Multimodal Models For Compositional Text-to-image Generation, by Leigang Qu et al.
Summary of Self-supervised Learning with Probabilistic Density Labeling For Rainfall Probability Estimation, by Junha Lee et al.
Summary of Dapperfl: Domain Adaptive Federated Learning with Model Fusion Pruning For Edge Devices, by Yongzhe Jia et al.
Summary of A Self-learning Multimodal Approach For Fake News Detection, by Hao Chen et al.
Summary of Dream: Domain-agnostic Reverse Engineering Attributes Of Black-box Model, by Rongqing Li et al.
Summary of Kernel Stochastic Configuration Networks For Nonlinear Regression, by Yongxuan Chen and Dianhui Wang
Summary of Towards Modeling Data Quality and Machine Learning Model Performance, by Usman Anjum et al.
Summary of Understanding the Impact Of Graph Reduction on Adversarial Robustness in Graph Neural Networks, by Kerui Wu et al.
Summary of Xkv: Personalized Kv Cache Memory Reduction For Long-context Llm Inference, by Weizhuo Li et al.
Summary of Thermal Image-based Fault Diagnosis in Induction Machines Via Self-organized Operational Neural Networks, by Sertac Kilickaya et al.
Summary of Reinforcement Learning For a Discrete-time Linear-quadratic Control Problem with An Application, by Lucky Li
Summary of Accelerating Manufacturing Scale-up From Material Discovery Using Agentic Web Navigation and Retrieval-augmented Ai For Process Engineering Schematics Design, by Sakhinana Sagar Srinivas et al.
Summary of Accurate Multi-category Student Performance Forecasting at Early Stages Of Online Education Using Neural Networks, by Naveed Ur Rehman Junejo et al.
Summary of Exploring Multi-grained Concept Annotations For Multimodal Large Language Models, by Xiao Xu et al.
Summary of Language Hooks: a Modular Framework For Augmenting Llm Reasoning That Decouples Tool Usage From the Model and Its Prompt, by Damien De Mijolla et al.
Summary of Pig: Physics-informed Gaussians As Adaptive Parametric Mesh Representations, by Namgyu Kang et al.
Summary of Stonet: a Novel Neural Operator For Modeling Solute Transport in Micro-cracked Reservoirs, by Ehsan Haghighat and Mohammad Hesan Adeli and S Mohammad Mousavi and Ruben Juanes
Summary of Towards Learning to Reason: Comparing Llms with Neuro-symbolic on Arithmetic Relations in Abstract Reasoning, by Michael Hersche et al.
Summary of Electrocardiogram (ecg) Based Cardiac Arrhythmia Detection and Classification Using Machine Learning Algorithms, by Atit Pokharel et al.
Summary of Active Sequential Posterior Estimation For Sample-efficient Simulation-based Inference, by Sam Griesemer et al.
Summary of Bertcaps: Bert Capsule For Persian Multi-domain Sentiment Analysis, by Mohammadali Memari et al.
Summary of Hyperedge Anomaly Detection with Hypergraph Neural Network, by Md. Tanvir Alam et al.
Summary of Long-term Auto-regressive Prediction Using Lightweight Ai Models: Adams-bashforth Time Integration with Adaptive Multi-step Rollout, by Sunwoong Yang et al.
Summary of Detecting Outliers by Clustering Algorithms, By Qi Li et al.
Summary of Nearly Solved? Robust Deepfake Detection Requires More Than Visual Forensics, by Guy Levy and Nathan Liebmann
Summary of On the Effective Transfer Of Knowledge From English to Hindi Wikipedia, by Paramita Das et al.
Summary of Rl Zero: Zero-shot Language to Behaviors Without Any Supervision, by Harshit Sikchi et al.
Summary of Training-free Bayesianization For Low-rank Adapters Of Large Language Models, by Haizhou Shi et al.
Summary of Proximal Iteration For Nonlinear Adaptive Lasso, by Nathan Wycoff et al.
Summary of Leveraging Black-box Models to Assess Feature Importance in Unconditional Distribution, by Jing Zhou and Chunlin Li
Summary of Rege: a Method For Incorporating Uncertainty in Graph Embeddings, by Zohair Shafi et al.
Summary of Policy-shaped Prediction: Avoiding Distractions in Model-based Reinforcement Learning, by Miles Hutson et al.
Summary of Protgo: a Transformer Based Fusion Model For Accurately Predicting Gene Ontology (go) Terms From Full Scale Protein Sequences, by Azwad Tamir et al.
Summary of Kite-ddi: a Knowledge Graph Integrated Transformer Model For Accurately Predicting Drug-drug Interaction Events From Drug Smiles and Biomedical Knowledge Graph, by Azwad Tamir et al.
Summary of Demem: Privacy-enhanced Robust Adversarial Learning Via De-memorization, by Xiaoyu Luo et al.
Summary of Strategizing Equitable Transit Evacuations: a Data-driven Reinforcement Learning Approach, by Fang Tang et al.
Summary of Drl4aoi: a Drl Framework For Semantic-aware Aoi Segmentation in Location-based Services, by Youfang Lin et al.
Summary of Granular Ball K-class Twin Support Vector Classifier, by M. A. Ganaie et al.
Summary of Multi-armed Bandit Approach For Optimizing Training on Synthetic Data, by Abdulrahman Kerim et al.
Summary of A Graph-based Approach For Conversational Ai-driven Personal Memory Capture and Retrieval in a Real-world Application, by Savini Kashmira et al.
Summary of Multi-objective Alignment Of Large Language Models Through Hypervolume Maximization, by Subhojyoti Mukherjee et al.
Summary of The Browsergym Ecosystem For Web Agent Research, by Thibault Le Sellier De Chezelles et al.
Summary of Ai-powered Digital Twin Of the Ocean: Reliable Uncertainty Quantification For Real-time Wave Height Prediction with Deep Ensemble, by Dongeon Lee et al.
Summary of Enhancing Sample Generation Of Diffusion Models Using Noise Level Correction, by Abulikemu Abuduweili et al.
Summary of A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System, by Pengyu Li et al.
Summary of Flex Attention: a Programming Model For Generating Optimized Attention Kernels, by Juechu Dong et al.
Summary of Splaxbert: Leveraging Mixed Precision Training and Context Splitting For Question Answering, by Zhu Yufan et al.
Summary of Can Large Language Models Be Privacy Preserving and Fair Medical Coders?, by Ali Dadsetan et al.
Summary of Upcycling Noise For Federated Unlearning, by Jianan Chen et al.
Summary of Confidence Diagram Of Nonparametric Ranking For Uncertainty Assessment in Large Language Models Evaluation, by Zebin Wang et al.
Summary of Memory-enhanced Invariant Prompt Learning For Urban Flow Prediction Under Distribution Shifts, by Haiyang Jiang and Tong Chen and Wentao Zhang and Nguyen Quoc Viet Hung and Yuan Yuan and Yong Li and Lizhen Cui
Summary of Convergence Analysis Of Wide Shallow Neural Operators Within the Framework Of Neural Tangent Kernel, by Xianliang Xu et al.
Summary of Same: Learning Generic Language-guided Visual Navigation with State-adaptive Mixture Of Experts, by Gengze Zhou et al.
Summary of Text-to-3d Gaussian Splatting with Physics-grounded Motion Generation, by Wenqing Wang et al.
Summary of Dif4ff: Leveraging Multimodal Diffusion Models and Graph Neural Networks For Accurate New Fashion Product Performance Forecasting, by Andrea Avogaro et al.
Summary of Smi-editor: Edit-based Smiles Language Model with Fragment-level Supervision, by Kangjie Zheng et al.
Summary of Chimera: Accurate Retrosynthesis Prediction by Ensembling Models with Diverse Inductive Biases, By Krzysztof Maziarz et al.
Summary of Extrapolated Urban View Synthesis Benchmark, by Xiangyu Han et al.
Summary of Reinforcement Learning: An Overview, by Kevin Murphy
Summary of Apollo: Sgd-like Memory, Adamw-level Performance, by Hanqing Zhu et al.
Summary of Sparse Autoencoders Reveal Selective Remapping Of Visual Concepts During Adaptation, by Hyesu Lim et al.
Summary of Stag-1: Towards Realistic 4d Driving Simulation with Video Generation Model, by Lening Wang et al.
Summary of Tagfog: Textual Anchor Guidance and Fake Outlier Generation For Visual Out-of-distribution Detection, by Jiankang Chen and Tong Zhang and Wei-shi Zheng and Ruixuan Wang
Summary of Self-supervised Learning For Graph-structured Data in Healthcare Applications: a Comprehensive Review, by Safa Ben Atitallah et al.
Summary of Fodfom: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-distribution Detector, By Jiankang Chen and Ling Deng and Zhiyong Gan and Wei-shi Zheng and Ruixuan Wang
Summary of Mapping the Layers Of the Ocean Floor with a Convolutional Neural Network, by Guilherme G. D. Fernandes et al.
Summary of Closed-loop Supervised Fine-tuning Of Tokenized Traffic Models, by Zhejun Zhang et al.
Summary of Act-bench: Towards Action Controllable World Models For Autonomous Driving, by Hidehisa Arai et al.
Summary of Calico: Conversational Agent Localization Via Synthetic Data Generation, by Andy Rosenbaum et al.
Summary of Generative Model-based Fusion For Improved Few-shot Semantic Segmentation Of Infrared Images, by Junno Yun et al.
Summary of Hivegen — Hierarchical Llm-based Verilog Generation For Scalable Chip Design, by Jinwei Tang et al.
Summary of Towards Predicting the Success Of Transfer-based Attacks by Quantifying Shared Feature Representations, By Ashley S. Dale et al.
Summary of No Free Lunch From Random Feature Ensembles, by Benjamin S. Ruben et al.
Summary of Kedformer:knowledge Extraction Seasonal Trend Decomposition For Long-term Sequence Prediction, by Zhenkai Qin et al.
Summary of Dart-eval: a Comprehensive Dna Language Model Evaluation Benchmark on Regulatory Dna, by Aman Patel et al.
Summary of Diversity Over Quantity: a Lesson From Few Shot Relation Classification, by Amir Dn Cohen et al.
Summary of Ref-ldm: a Latent Diffusion Model For Reference-based Face Image Restoration, by Chi-wei Hsiao et al.
Summary of Mixed Blessing: Class-wise Embedding Guided Instance-dependent Partial Label Learning, by Fuchao Yang et al.
Summary of Generating Rectifiable Measures Through Neural Networks, by Erwin Riegler et al.
Summary of Transformers Can Navigate Mazes with Multi-step Prediction, by Niklas Nolte et al.
Summary of Robust Computation with Intrinsic Heterogeneity, by Arash Golmohammadi et al.
Summary of Learning Hidden Physics and System Parameters with Deep Operator Networks, by Vijay Kag et al.
Summary of The Polynomial Stein Discrepancy For Assessing Moment Convergence, by Narayan Srinivasan et al.
Summary of Effective Rank and the Staircase Phenomenon: New Insights Into Neural Network Training Dynamics, by Jiang Yang et al.
Summary of Explingo: Explaining Ai Predictions Using Large Language Models, by Alexandra Zytek et al.
Summary of Lora.rar: Learning to Merge Loras Via Hypernetworks For Subject-style Conditioned Image Generation, by Donald Shenaj et al.
Summary of A Text-to-tabular Approach to Generate Synthetic Patient Data Using Llms, by Margaux Tornqvist et al.
Summary of Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins Via Detection to Mitigation, by David Steinmann et al.
Summary of Towards Understanding the Role Of Sharpness-aware Minimization Algorithms For Out-of-distribution Generalization, by Samuel Schapiro et al.
Summary of Variational Encoder-decoders For Learning Latent Representations Of Physical Systems, by Subashree Venkatasubramanian and David A. Barajas-solano
Summary of Privacy Drift: Evolving Privacy Concerns in Incremental Learning, by Sayyed Farid Ahamed et al.
Summary of One-shot Federated Learning Via Synthetic Distiller-distillate Communication, by Junyuan Zhang et al.
Summary of Linvt: Empower Your Image-level Large Language Model to Understand Videos, by Lishuai Gao et al.