Paper List

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Summary of Bg-hgnn: Toward Scalable and Efficient Heterogeneous Graph Neural Network, by Junwei Su et al.
Summary of Lix: Implicitly Infusing Spatial Geometric Prior Knowledge Into Visual Semantic Segmentation For Autonomous Driving, by Sicen Guo et al.
Summary of Paddingflow: Improving Normalizing Flows with Padding-dimensional Noise, by Qinglong Meng et al.
Summary of Mip: Clip-based Image Reconstruction From Peft Gradients, by Peiheng Zhou et al.
Summary of Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning For Portfolio Optimization, by Philip Ndikum et al.
Summary of Merino: Entropy-driven Design For Generative Language Models on Iot Devices, by Youpeng Zhao et al.
Summary of Sketching the Heat Kernel: Using Gaussian Processes to Embed Data, by Anna C. Gilbert et al.
Summary of Revisiting Edge Perturbation For Graph Neural Network in Graph Data Augmentation and Attack, by Xin Liu et al.
Summary of Abstracting Sparse Dnn Acceleration Via Structured Sparse Tensor Decomposition, by Geonhwa Jeong et al.
Summary of Optimizing Polynomial Graph Filters: a Novel Adaptive Krylov Subspace Approach, by Keke Huang et al.
Summary of Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery, by Linan Yue et al.
Summary of Efficient Post-training Augmentation For Adaptive Inference in Heterogeneous and Distributed Iot Environments, by Max Sponner and Lorenzo Servadei and Bernd Waschneck and Robert Wille and Akash Kumar
Summary of Temporal Decisions: Leveraging Temporal Correlation For Efficient Decisions in Early Exit Neural Networks, by Max Sponner and Lorenzo Servadei and Bernd Waschneck and Robert Wille and Akash Kumar
Summary of Deepcdcl: An Cdcl-based Neural Network Verification Framework, by Zongxin Liu et al.
Summary of Conditional Computation in Neural Networks: Principles and Research Trends, by Simone Scardapane et al.
Summary of Applying Ranking Techniques For Estimating Influence Of Earth Variables on Temperature Forecast Error, by M. Julia Flores et al.
Summary of Feasibility Of Machine Learning-based Rice Yield Prediction in India at the District Level Using Climate Reanalysis Data, by Djavan De Clercq et al.
Summary of Do Deep Neural Network Solutions Form a Star Domain?, by Ankit Sonthalia et al.
Summary of Knowcoder: Coding Structured Knowledge Into Llms For Universal Information Extraction, by Zixuan Li et al.
Summary of Do Agents Dream Of Electric Sheep?: Improving Generalization in Reinforcement Learning Through Generative Learning, by Giorgio Franceschelli and Mirco Musolesi
Summary of Gujarati-english Code-switching Speech Recognition Using Ensemble Prediction Of Spoken Language, by Yash Sharma et al.
Summary of Xmlp: Revolutionizing Private Inference with Exclusive Square Activation, by Jiajie Li et al.
Summary of Low-energy On-device Personalization For Mcus, by Yushan Huang et al.
Summary of Fast and Simple Explainability For Point Cloud Networks, by Meir Yossef Levi and Guy Gilboa
Summary of Symmetric Q-learning: Reducing Skewness Of Bellman Error in Online Reinforcement Learning, by Motoki Omura et al.
Summary of Workarena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?, by Alexandre Drouin et al.
Summary of On the Last-iterate Convergence Of Shuffling Gradient Methods, by Zijian Liu et al.
Summary of Balancing Fairness and Accuracy in Data-restricted Binary Classification, by Zachary Mcbride Lazri et al.
Summary of Cap: a General Algorithm For Online Selective Conformal Prediction with Fcr Control, by Yajie Bao et al.
Summary of Probabilistic Easy Variational Causal Effect, by Usef Faghihi and Amir Saki
Summary of Fairrr: Pre-processing For Group Fairness Through Randomized Response, by Xianli Zeng et al.
Summary of Joint Selection: Adaptively Incorporating Public Information For Private Synthetic Data, by Miguel Fuentes et al.
Summary of Pyvene: a Library For Understanding and Improving Pytorch Models Via Interventions, by Zhengxuan Wu et al.
Summary of Chronos: Learning the Language Of Time Series, by Abdul Fatir Ansari et al.
Summary of Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling, by Iman Islam (1) et al.
Summary of Quantifying and Mitigating Privacy Risks For Tabular Generative Models, by Chaoyi Zhu et al.
Summary of A Machine Learning and Empirical Bayesian Approach For Predictive Buying in B2b E-commerce, by Tuhin Subhra De and Pranjal Singh and Alok Patel
Summary of 12 Mj Per Class On-device Online Few-shot Class-incremental Learning, by Yoga Esa Wibowo et al.
Summary of Distilling the Knowledge in Data Pruning, by Emanuel Ben-baruch et al.
Summary of Quantum Support Vector Machine For Prostate Cancer Detection: a Performance Analysis, by Walid El Maouaki et al.
Summary of Codeattack: Revealing Safety Generalization Challenges Of Large Language Models Via Code Completion, by Qibing Ren et al.
Summary of Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias, by Sierra Wyllie et al.
Summary of Digital Video Manipulation Detection Technique Based on Compression Algorithms, by Edgar Gonzalez Fernandez et al.
Summary of On the Nonconvexity Of Some Push-forward Constraints and Its Consequences in Machine Learning, by Lucas De Lara (ut3 et al.
Summary of Diabetesnet: a Deep Learning Approach to Diabetes Diagnosis, by Zeyu Zhang et al.
Summary of Imbalance-aware Presence-only Loss Function For Species Distribution Modeling, by Robin Zbinden et al.
Summary of Detecting Security-relevant Methods Using Multi-label Machine Learning, by Oshando Johnson et al.
Summary of Xpertai: Uncovering Regression Model Strategies For Sub-manifolds, by Simon Letzgus et al.
Summary of Constrained Optimal Fuel Consumption Of Hev: a Constrained Reinforcement Learning Approach, by Shuchang Yan
Summary of Lab-gatr: Geometric Algebra Transformers For Large Biomedical Surface and Volume Meshes, by Julian Suk et al.
Summary of A Survey Of Vision Transformers in Autonomous Driving: Current Trends and Future Directions, by Quoc-vinh Lai-dang
Summary of Online Continual Learning For Interactive Instruction Following Agents, by Byeonghwi Kim et al.
Summary of Sifid: Reassess Summary Factual Inconsistency Detection with Llm, by Jiuding Yang et al.
Summary of Federated Learning Of Socially Appropriate Agent Behaviours in Simulated Home Environments, by Saksham Checker and Nikhil Churamani and Hatice Gunes
Summary of Visual Privacy Auditing with Diffusion Models, by Kristian Schwethelm et al.
Summary of Optimizing Negative Prompts For Enhanced Aesthetics and Fidelity in Text-to-image Generation, by Michael Ogezi and Ning Shi
Summary of Efficient Knowledge Deletion From Trained Models Through Layer-wise Partial Machine Unlearning, by Vinay Chakravarthi Gogineni and Esmaeil S. Nadimi
Summary of Robustifying and Boosting Training-free Neural Architecture Search, by Zhenfeng He et al.
Summary of Cardiogenai: a Machine Learning-based Framework For Re-engineering Drugs For Reduced Herg Liability, by Gregory W. Kyro et al.
Summary of Harder Tasks Need More Experts: Dynamic Routing in Moe Models, by Quzhe Huang et al.
Summary of Scalable Spatiotemporal Prediction with Bayesian Neural Fields, by Feras Saad et al.
Summary of Machine Learning For Soccer Match Result Prediction, by Rory Bunker et al.
Summary of Orpo: Monolithic Preference Optimization Without Reference Model, by Jiwoo Hong et al.
Summary of Calf: Aligning Llms For Time Series Forecasting Via Cross-modal Fine-tuning, by Peiyuan Liu et al.
Summary of Verification-aided Learning Of Neural Network Barrier Functions with Termination Guarantees, by Shaoru Chen et al.
Summary of Knowledge Graph Large Language Model (kg-llm) For Link Prediction, by Dong Shu et al.
Summary of Reinforced Sequential Decision-making For Sepsis Treatment: the Posnegdm Framework with Mortality Classifier and Transformer, by Dipesh Tamboli and Jiayu Chen and Kiran Pranesh Jotheeswaran and Denny Yu and Vaneet Aggarwal
Summary of Unknown Domain Inconsistency Minimization For Domain Generalization, by Seungjae Shin et al.
Summary of How Does Promoting the Minority Fraction Affect Generalization? a Theoretical Study Of the One-hidden-layer Neural Network on Group Imbalance, by Hongkang Li et al.
Summary of Im-unpack: Training and Inference with Arbitrarily Low Precision Integers, by Zhanpeng Zeng et al.
Summary of Graph Unlearning with Efficient Partial Retraining, by Jiahao Zhang et al.
Summary of Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning, by Mark D. Mcdonnell et al.
Summary of Challenging Forgets: Unveiling the Worst-case Forget Sets in Machine Unlearning, by Chongyu Fan et al.
Summary of Entropy Is Not Enough For Test-time Adaptation: From the Perspective Of Disentangled Factors, by Jonghyun Lee et al.
Summary of Hallmarks Of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy, by Sidak Pal Singh et al.
Summary of Svd-llm: Truncation-aware Singular Value Decomposition For Large Language Model Compression, by Xin Wang et al.
Summary of Smalltolarge (s2l): Scalable Data Selection For Fine-tuning Large Language Models by Summarizing Training Trajectories Of Small Models, By Yu Yang et al.
Summary of Knowledge Transfer Across Multiple Principal Component Analysis Studies, by Zeyu Li and Kangxiang Qin and Yong He and Wang Zhou and Xinsheng Zhang
Summary of Auxiliary Classifiers Improve Stability and Efficiency in Continual Learning, by Filip Szatkowski et al.
Summary of Learning-augmented Algorithms with Explicit Predictors, by Marek Elias and Haim Kaplan and Yishay Mansour and Shay Moran
Summary of Proxy Methods For Domain Adaptation, by Katherine Tsai et al.
Summary of A Tutorial on Multi-view Autoencoders Using the Multi-view-ae Library, by Ana Lawry Aguila et al.
Summary of Experimental Comparison Of Ensemble Methods and Time-to-event Analysis Models Through Integrated Brier Score and Concordance Index, by Camila Fernandez (lpsm) et al.
Summary of On the Limited Representational Power Of Value Functions and Its Links to Statistical (in)efficiency, by David Cheikhi et al.
Summary of One Category One Prompt: Dataset Distillation Using Diffusion Models, by Ali Abbasi et al.
Summary of Don’t Forget What I Did?: Assessing Client Contributions in Federated Learning, by Bishwamittra Ghosh et al.
Summary of 3m-diffusion: Latent Multi-modal Diffusion For Language-guided Molecular Structure Generation, by Huaisheng Zhu et al.
Summary of Monitoring Ai-modified Content at Scale: a Case Study on the Impact Of Chatgpt on Ai Conference Peer Reviews, by Weixin Liang et al.
Summary of Uncertainty in Graph Neural Networks: a Survey, by Fangxin Wang et al.
Summary of Ups: Efficiently Building Foundation Models For Pde Solving Via Cross-modal Adaptation, by Junhong Shen et al.
Summary of A Multi-cohort Study on Prediction Of Acute Brain Dysfunction States Using Selective State Space Models, by Brandon Silva et al.
Summary of Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach, by Yinsong Wang et al.
Summary of Which Llm to Play? Convergence-aware Online Model Selection with Time-increasing Bandits, by Yu Xia et al.
Summary of Lookupffn: Making Transformers Compute-lite For Cpu Inference, by Zhanpeng Zeng et al.
Summary of Curry-dpo: Enhancing Alignment Using Curriculum Learning & Ranked Preferences, by Pulkit Pattnaik and Rishabh Maheshwary and Kelechi Ogueji and Vikas Yadav and Sathwik Tejaswi Madhusudhan
Summary of Dataset Condensation For Time Series Classification Via Dual Domain Matching, by Zhanyu Liu et al.
Summary of Calibrating Multi-modal Representations: a Pursuit Of Group Robustness Without Annotations, by Chenyu You et al.
Summary of Disentangling Policy From Offline Task Representation Learning Via Adversarial Data Augmentation, by Chengxing Jia et al.
Summary of Near-interpolators: Rapid Norm Growth and the Trade-off Between Interpolation and Generalization, by Yutong Wang et al.
Summary of A2po: Towards Effective Offline Reinforcement Learning From An Advantage-aware Perspective, by Yunpeng Qing et al.