Paper List

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Summary of Bayesian Concept Bottleneck Models with Llm Priors, by Jean Feng et al.
Summary of Gradient Rewiring For Editable Graph Neural Network Training, by Zhimeng Jiang et al.
Summary of A Plug-and-play Fully On-the-job Real-time Reinforcement Learning Algorithm For a Direct-drive Tandem-wing Experiment Platforms Under Multiple Random Operating Conditions, by Zhang Minghao et al.
Summary of Likelihood-free Inference and Hierarchical Data Assimilation For Geological Carbon Storage, by Wenchao Teng et al.
Summary of Multiple Kernel Clustering Via Local Regression Integration, by Liang Du et al.
Summary of Symmetry Nonnegative Matrix Factorization Algorithm Based on Self-paced Learning, by Lei Wang et al.
Summary of On Cold Posteriors Of Probabilistic Neural Networks: Understanding the Cold Posterior Effect and a New Way to Learn Cold Posteriors with Tight Generalization Guarantees, by Yijie Zhang
Summary of Amortized Probabilistic Conditioning For Optimization, Simulation and Inference, by Paul E. Chang et al.
Summary of Fomo: a Foundation Model For Mobile Traffic Forecasting with Diffusion Model, by Haoye Chai et al.
Summary of Epic: Efficient Position-independent Context Caching For Serving Large Language Models, by Junhao Hu et al.
Summary of Diffusion-pinn Sampler, by Zhekun Shi et al.
Summary of Compact: Compressed Activations For Memory-efficient Llm Training, by Yara Shamshoum et al.
Summary of Lac: Graph Contrastive Learning with Learnable Augmentation in Continuous Space, by Zhenyu Lin et al.
Summary of Faster-gcg: Efficient Discrete Optimization Jailbreak Attacks Against Aligned Large Language Models, by Xiao Li et al.
Summary of A Novel Characterization Of the Population Area Under the Risk Coverage Curve (aurc) and Rates Of Finite Sample Estimators, by Han Zhou et al.
Summary of Framebridge: Improving Image-to-video Generation with Bridge Models, by Yuji Wang et al.
Summary of Hybrid Memory Replay: Blending Real and Distilled Data For Class Incremental Learning, by Jiangtao Kong et al.
Summary of Explainability Of Point Cloud Neural Networks Using Smile: Statistical Model-agnostic Interpretability with Local Explanations, by Seyed Mohammad Ahmadi et al.
Summary of Synthetic Data Generation For Residential Load Patterns Via Recurrent Gan and Ensemble Method, by Xinyu Liang et al.
Summary of Ipo: Interpretable Prompt Optimization For Vision-language Models, by Yingjun Du et al.
Summary of Peas: a Strategy For Crafting Transferable Adversarial Examples, by Bar Avraham and Yisroel Mirsky
Summary of Dynamic Contrastive Learning For Time Series Representation, by Abdul-kazeem Shamba and Kerstin Bach and Gavin Taylor
Summary of Where to Build Food Banks and Pantries: a Two-level Machine Learning Approach, by Gavin Ruan and Ziqi Guo and Guang Lin
Summary of Action Abstractions For Amortized Sampling, by Oussama Boussif et al.
Summary of Unsupervised Domain Adaptation Approaches For Chessboard Recognition, by Wassim Jabbour et al.
Summary of Future-guided Learning: a Predictive Approach to Enhance Time-series Forecasting, by Skye Gunasekaran et al.
Summary of Low-cost Robust Night-time Aerial Material Segmentation Through Hyperspectral Data and Sparse Spatio-temporal Learning, by Chandrajit Bajaj et al.
Summary of Intersectionzoo: Eco-driving For Benchmarking Multi-agent Contextual Reinforcement Learning, by Vindula Jayawardana et al.
Summary of Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Series, by Junyang He et al.
Summary of Conditional Prediction Roc Bands For Graph Classification, by Yujia Wu et al.
Summary of Deep Learning-based Detection Of Bacterial Swarm Motion Using a Single Image, by Yuzhu Li et al.
Summary of A Semidefinite Relaxation Approach For Fair Graph Clustering, by Sina Baharlouei et al.
Summary of Tensor-fused Multi-view Graph Contrastive Learning, by Yujia Wu et al.
Summary of Conditional Uncertainty Quantification For Tensorized Topological Neural Networks, by Yujia Wu et al.
Summary of Faststi: a Fast Conditional Pseudo Numerical Diffusion Model For Spatio-temporal Traffic Data Imputation, by Shaokang Cheng et al.
Summary of Multimodal Policies with Physics-informed Representations, by Haodong Feng et al.
Summary of Tagexplainer: Narrating Graph Explanations For Text-attributed Graph Learning Models, by Bo Pan et al.
Summary of Learning-augmented Algorithms For the Bahncard Problem, by Hailiang Zhao et al.
Summary of Onboard Health Estimation Using Distribution Of Relaxation Times For Lithium-ion Batteries, by Muhammad Aadil Khan et al.
Summary of Neural Normalized Compression Distance and the Disconnect Between Compression and Classification, by John Hurwitz et al.
Summary of Triz Method For Urban Building Energy Optimization: Gwo-sarima-lstm Forecasting Model, by Shirong Zheng et al.
Summary of Unsupervised Feature Selection Algorithm Framework Based on Neighborhood Interval Disturbance Fusion, by Xiaolin Lv et al.
Summary of Ltpnet Integration Of Deep Learning and Environmental Decision Support Systems For Renewable Energy Demand Forecasting, by Te Li and Mengze Zhang and Yan Zhou
Summary of Deep Equilibrium Algorithmic Reasoning, by Dobrik Georgiev et al.
Summary of Asymptotic Time-uniform Inference For Parameters in Averaged Stochastic Approximation, by Chuhan Xie et al.
Summary of Llm-hdr: Bridging Llm-based Perception and Self-supervision For Unpaired Ldr-to-hdr Image Reconstruction, by Hrishav Bakul Barua et al.
Summary of Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer, by Keting Yin et al.
Summary of Dpvs-shapley:faster and Universal Contribution Evaluation Component in Federated Learning, by Ketin Yin et al.
Summary of Cosfairnet:a Parameter-space Based Approach For Bias Free Learning, by Rajeev Ranjan Dwivedi et al.
Summary of On Designing Effective Rl Reward at Training Time For Llm Reasoning, by Jiaxuan Gao et al.
Summary of Accelerating K-means Clustering with Cover Trees, by Andreas Lang and Erich Schubert
Summary of Generalizable Prediction Model Of Molten Salt Mixture Density with Chemistry-informed Transfer Learning, by Julian Barra et al.
Summary of Reinfier and Reintrainer: Verification and Interpretation-driven Safe Deep Reinforcement Learning Frameworks, by Zixuan Yang et al.
Summary of Controllable Ransac-based Anomaly Detection Via Hypothesis Testing, by Le Hong Phong et al.
Summary of Generalized Flow Matching For Transition Dynamics Modeling, by Haibo Wang et al.
Summary of Collaborative State Fusion in Partially Known Multi-agent Environments, by Tianlong Zhou et al.
Summary of Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling, By Minhyuk Seo et al.
Summary of Less Is More: Parameter-efficient Selection Of Intermediate Tasks For Transfer Learning, by David Schulte et al.
Summary of Pipeline Gradient-based Model Training on Analog In-memory Accelerators, by Zhaoxian Wu et al.
Summary of Adaptive Pruning with Module Robustness Sensitivity: Balancing Compression and Robustness, by Lincen Bai et al.
Summary of Explaining Graph Neural Networks with Large Language Models: a Counterfactual Perspective For Molecular Property Prediction, by Yinhan He et al.
Summary of Hacsurv: a Hierarchical Copula-based Approach For Survival Analysis with Dependent Competing Risks, by Xin Liu et al.
Summary of Guide: Real-time Human-shaped Agents, by Lingyu Zhang et al.
Summary of Del-ranking: Ranking-correction Denoising Framework For Elucidating Molecular Affinities in Dna-encoded Libraries, by Hanqun Cao et al.
Summary of 2-rectifications Are Enough For Straight Flows: a Theoretical Insight Into Wasserstein Convergence, by Saptarshi Roy et al.
Summary of A Fast Ai Surrogate For Coastal Ocean Circulation Models, by Zelin Xu et al.
Summary of Langgfm: a Large Language Model Alone Can Be a Powerful Graph Foundation Model, by Tianqianjin Lin et al.
Summary of Neural Radiance Field Image Refinement Through End-to-end Sampling Point Optimization, by Kazuhiro Ohta et al.
Summary of Visual Navigation Of Digital Libraries: Retrieval and Classification Of Images in the National Library Of Norway’s Digitised Book Collection, by Marie Roald et al.
Summary of Deep Learning For Weather Forecasting: a Cnn-lstm Hybrid Model For Predicting Historical Temperature Data, by Yuhao Gong et al.
Summary of Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology, by Wei Xie et al.
Summary of Neuralmag: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets, by Yunqi Cai et al.
Summary of A Comparative Study Of Neuralode and Universal Ode Approaches to Solving Chandrasekhar White Dwarf Equation, by Raymundo Vazquez Martinez et al.
Summary of Learning Infinite-horizon Average-reward Linear Mixture Mdps Of Bounded Span, by Woojin Chae et al.
Summary of Fit-gnn: Faster Inference Time For Gnns Using Coarsening, by Shubhajit Roy et al.
Summary of Flexmol: a Flexible Toolkit For Benchmarking Molecular Relational Learning, by Sizhe Liu et al.
Summary of Dst-transitnet: a Dynamic Spatio-temporal Deep Learning Model For Scalable and Efficient Network-wide Prediction Of Station-level Transit Ridership, by Jiahao Wang and Amer Shalaby
Summary of Transit Pulse: Utilizing Social Media As a Source For Customer Feedback and Information Extraction with Large Language Model, by Jiahao Wang and Amer Shalaby
Summary of Iterative Methods Via Locally Evolving Set Process, by Baojian Zhou et al.
Summary of Statistical Inference For Feature Selection After Optimal Transport-based Domain Adaptation, by Nguyen Thang Loi et al.
Summary of Adversarial Training: a Survey, by Mengnan Zhao et al.
Summary of Testing the Efficacy Of Hyperparameter Optimization Algorithms in Short-term Load Forecasting, by Tugrul Cabir Hakyemez et al.
Summary of Weakly-supervised Diagnosis Identification From Italian Discharge Letters, by Vittorio Torri et al.
Summary of Aligning Ai Agents Via Information-directed Sampling, by Hong Jun Jeon et al.
Summary of Sprig: Improving Large Language Model Performance by System Prompt Optimization, By Lechen Zhang et al.
Summary of Adapting Multilingual Llms to Low-resource Languages Using Continued Pre-training and Synthetic Corpus, by Raviraj Joshi et al.
Summary of A Complexity-based Theory Of Compositionality, by Eric Elmoznino et al.
Summary of Automated Road Extraction From Satellite Imagery Integrating Dense Depthwise Dilated Separable Spatial Pyramid Pooling with Deeplabv3+, by Arpan Mahara et al.
Summary of Topological Obstruction to the Training Of Shallow Relu Neural Networks, by Marco Nurisso et al.
Summary of Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (rsic), by Marc A. Tunnell and Zachary J. Debruine and Erin Carrier
Summary of Predictive Variational Inference: Learn the Predictively Optimal Posterior Distribution, by Jinlin Lai and Yuling Yao
Summary of Fedspallm: Federated Pruning Of Large Language Models, by Guangji Bai et al.
Summary of Which Llms Are Difficult to Detect? a Detailed Analysis Of Potential Factors Contributing to Difficulties in Llm Text Detection, by Shantanu Thorat and Tianbao Yang
Summary of How to Evaluate Reward Models For Rlhf, by Evan Frick et al.
Summary of Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts, by Chaoxi Niu et al.
Summary of Self-satisfied: An End-to-end Framework For Sat Generation and Prediction, by Christopher R. Serrano and Jonathan Gallagher and Kenji Yamada and Alexei Kopylov and Michael A. Warren
Summary of Soft-label Integration For Robust Toxicity Classification, by Zelei Cheng et al.
Summary of Reeframe: Reeb Graph Based Trajectory Analysis Framework to Capture Top-down and Bottom-up Patterns Of Life, by Chandrakanth Gudavalli et al.
Summary of Truncated Consistency Models, by Sangyun Lee et al.
Summary of Water Quality Polluted by Total Suspended Solids Classified Within An Artificial Neural Network Approach, By I. Luviano Soto et al.