Paper List

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Summary of From Zero to Hero: How Local Curvature at Artless Initial Conditions Leads Away From Bad Minima, by Tony Bonnaire et al.
Summary of A Novel Hybrid Feature Importance and Feature Interaction Detection Framework For Predictive Optimization in Industry 4.0 Applications, by Zhipeng Ma et al.
Summary of Are More Llm Calls All You Need? Towards Scaling Laws Of Compound Inference Systems, by Lingjiao Chen and Jared Quincy Davis and Boris Hanin and Peter Bailis and Ion Stoica and Matei Zaharia and James Zou
Summary of Flowprecision: Advancing Fpga-based Real-time Fluid Flow Estimation with Linear Quantization, by Tianheng Ling et al.
Summary of Randomized Approach to Matrix Completion: Applications in Collaborative Filtering and Image Inpainting, by Antonina Krajewska and Ewa Niewiadomska-szynkiewicz
Summary of Mitigating Label Noise on Graph Via Topological Sample Selection, by Yuhao Wu et al.
Summary of Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification, by Puru Vaish et al.
Summary of Error Bounds For Particle Gradient Descent, and Extensions Of the Log-sobolev and Talagrand Inequalities, by Rocco Caprio et al.
Summary of A Generative Model Of Symmetry Transformations, by James Urquhart Allingham et al.
Summary of Bipartite Graph Variational Auto-encoder with Fair Latent Representation to Account For Sampling Bias in Ecological Networks, by Emre Anakok et al.
Summary of Deep Neural Network For Constraint Acquisition Through Tailored Loss Function, by Eduardo Vyhmeister et al.
Summary of Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations, by Sangmin Lee et al.
Summary of Inf2guard: An Information-theoretic Framework For Learning Privacy-preserving Representations Against Inference Attacks, by Sayedeh Leila Noorbakhsh et al.
Summary of Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning Of Language Models, by Changyu Chen et al.
Summary of Distilled Chatgpt Topic & Sentiment Modeling with Applications in Finance, by Olivier Gandouet et al.
Summary of Not All Layers Of Llms Are Necessary During Inference, by Siqi Fan et al.
Summary of Mutual Information Estimation Via Normalizing Flows, by Ivan Butakov et al.
Summary of Joint Parameter and Parameterization Inference with Uncertainty Quantification Through Differentiable Programming, by Yongquan Qu et al.
Summary of Tpllm: a Traffic Prediction Framework Based on Pretrained Large Language Models, by Yilong Ren et al.
Summary of A Theoretical Analysis Of Self-supervised Learning For Vision Transformers, by Yu Huang et al.
Summary of Better Schedules For Low Precision Training Of Deep Neural Networks, by Cameron R. Wolfe and Anastasios Kyrillidis
Summary of Neural Redshift: Random Networks Are Not Random Functions, by Damien Teney et al.
Summary of A Prediction Rigidity Formalism For Low-cost Uncertainties in Trained Neural Networks, by Filippo Bigi et al.
Summary of Soft-constrained Schrodinger Bridge: a Stochastic Control Approach, by Jhanvi Garg et al.
Summary of Dyce: Dynamically Configurable Exiting For Deep Learning Compression and Real-time Scaling, by Qingyuan Wang et al.
Summary of Coms2t: a Complementary Spatiotemporal Learning System For Data-adaptive Model Evolution, by Zhengyang Zhou et al.
Summary of Differentially Private Synthetic Data Via Foundation Model Apis 2: Text, by Chulin Xie et al.
Summary of Open-world Machine Learning: a Review and New Outlooks, by Fei Zhu et al.
Summary of Diffusion-ts: Interpretable Diffusion For General Time Series Generation, by Xinyu Yuan and Yan Qiao
Summary of How Multimodal Integration Boost the Performance Of Llm For Optimization: Case Study on Capacitated Vehicle Routing Problems, by Yuxiao Huang et al.
Summary of Improving Out-of-distribution Generalization in Graphs Via Hierarchical Semantic Environments, by Yinhua Piao et al.
Summary of Making Pre-trained Language Models Great on Tabular Prediction, by Jiahuan Yan et al.
Summary of Cola: Cross-city Mobility Transformer For Human Trajectory Simulation, by Yu Wang et al.
Summary of Nash: Neural Architecture Search For Hardware-optimized Machine Learning Models, by Mengfei Ji et al.
Summary of Reward Model Learning Vs. Direct Policy Optimization: a Comparative Analysis Of Learning From Human Preferences, by Andi Nika et al.
Summary of Out-of-distribution Robustness For Multivariate Analysis Via Causal Regularisation, by Homer Durand et al.
Summary of One Prompt Word Is Enough to Boost Adversarial Robustness For Pre-trained Vision-language Models, by Lin Li et al.
Summary of A Survey on Evaluation Of Out-of-distribution Generalization, by Han Yu et al.
Summary of Unsupervised Distance Metric Learning For Anomaly Detection Over Multivariate Time Series, by Hanyang Yuan et al.
Summary of Locally Convex Global Loss Network For Decision-focused Learning, by Haeun Jeon et al.
Summary of Fast Benchmarking Of Asynchronous Multi-fidelity Optimization on Zero-cost Benchmarks, by Shuhei Watanabe and Neeratyoy Mallik and Edward Bergman and Frank Hutter
Summary of Robustness Bounds on the Successful Adversarial Examples: Theory and Practice, by Hiroaki Maeshima et al.
Summary of Capacity Of the Hebbian-hopfield Network Associative Memory, by Mihailo Stojnic
Summary of Selection, Ensemble, and Adaptation: Advancing Multi-source-free Domain Adaptation Via Architecture Zoo, by Jiangbo Pei et al.
Summary of The Hidden Attention Of Mamba Models, by Ameen Ali et al.
Summary of Towards Provable Log Density Policy Gradient, by Pulkit Katdare et al.
Summary of Schema: State Changes Matter For Procedure Planning in Instructional Videos, by Yulei Niu et al.
Summary of Respiratory Motion Forecasting with Online Learning Of Recurrent Neural Networks For Safety Enhancement in Externally Guided Radiotherapy, by Michel Pohl et al.
Summary of Partial Federated Learning, by Tiantian Feng et al.
Summary of Machine Learning Vs Deep Learning: the Generalization Problem, by Yong Yi Bay and Kathleen A. Yearick
Summary of Ml4physim : Machine Learning For Physical Simulations Challenge (the Airfoil Design), by Mouadh Yagoubi et al.
Summary of Syncode: Llm Generation with Grammar Augmentation, by Shubham Ugare et al.
Summary of Recent Advances, Applications, and Open Challenges in Machine Learning For Health: Reflections From Research Roundtables at Ml4h 2023 Symposium, by Hyewon Jeong et al.
Summary of Critical Windows: Non-asymptotic Theory For Feature Emergence in Diffusion Models, by Marvin Li and Sitan Chen
Summary of Theoretical Insights For Diffusion Guidance: a Case Study For Gaussian Mixture Models, by Yuchen Wu et al.
Summary of Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks, by Ziping Xu et al.
Summary of Cost-effective Attention Mechanisms For Low Resource Settings: Necessity & Sufficiency Of Linear Transformations, by Peyman Hosseini et al.
Summary of Blue and Green-mode Energy-efficient Nanoparticle-based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning, By Zeheng Wang et al.
Summary of Day-ahead Regional Solar Power Forecasting with Hierarchical Temporal Convolutional Neural Networks Using Historical Power Generation and Weather Data, by Maneesha Perera et al.
Summary of Improving Adversarial Energy-based Model Via Diffusion Process, by Cong Geng et al.
Summary of Permutation Invariant Functions: Statistical Tests, Density Estimation, and Computationally Efficient Embedding, by Wee Chaimanowong et al.
Summary of Quantifying and Predicting Residential Building Flexibility Using Machine Learning Methods, by Patrick Salter et al.
Summary of Cats: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series As Exogenous Variables, By Jiecheng Lu et al.
Summary of The Implicit Bias Of Heterogeneity Towards Invariance: a Study Of Multi-environment Matrix Sensing, by Yang Xu et al.
Summary of Introduction to Algogens, by Amir Shachar
Summary of On Diffusion Process in Se(3)-invariant Space, by Zihan Zhou et al.
Summary of Privacy-preserving Collaborative Split Learning Framework For Smart Grid Load Forecasting, by Asif Iqbal et al.
Summary of One-step Multi-view Clustering Based on Transition Probability, by Wenhui Zhao et al.
Summary of Collaborate to Adapt: Source-free Graph Domain Adaptation Via Bi-directional Adaptation, by Zhen Zhang et al.
Summary of Representation Learning on Heterophilic Graph with Directional Neighborhood Attention, by Qincheng Lu et al.
Summary of Convtimenet: a Deep Hierarchical Fully Convolutional Model For Multivariate Time Series Analysis, by Mingyue Cheng et al.
Summary of Approximations to the Fisher Information Metric Of Deep Generative Models For Out-of-distribution Detection, by Sam Dauncey et al.
Summary of Normalizing Flow-based Differentiable Particle Filters, by Xiongjie Chen et al.
Summary of Applying Self-supervised Learning to Network Intrusion Detection For Network Flows with Graph Neural Network, by Renjie Xu et al.
Summary of Revisiting Dynamic Evaluation: Online Adaptation For Large Language Models, by Amal Rannen-triki et al.
Summary of Machine Learning Predicts Long-term Mortality After Acute Myocardial Infarction Using Systolic Time Intervals and Routinely Collected Clinical Data, by Bijan Roudini et al.
Summary of Neural Graph Generator: Feature-conditioned Graph Generation Using Latent Diffusion Models, by Iakovos Evdaimon et al.
Summary of Quantized Hierarchical Federated Learning: a Robust Approach to Statistical Heterogeneity, by Seyed Mohammad Azimi-abarghouyi et al.
Summary of In-context Sharpness As Alerts: An Inner Representation Perspective For Hallucination Mitigation, by Shiqi Chen et al.
Summary of Transformers For Supervised Online Continual Learning, by Jorg Bornschein et al.
Summary of Hyperspectral Image Analysis in Single-modal and Multimodal Setting Using Deep Learning Techniques, by Shivam Pande
Summary of Small Models Are Llm Knowledge Triggers on Medical Tabular Prediction, by Jiahuan Yan et al.
Summary of Limits to Classification Performance by Relating Kullback-leibler Divergence to Cohen’s Kappa, By L. Crow and S. J. Watts
Summary of Nomad-attention: Efficient Llm Inference on Cpus Through Multiply-add-free Attention, by Tianyi Zhang et al.
Summary of Can a Confident Prior Replace a Cold Posterior?, by Martin Marek et al.
Summary of Icc: Quantifying Image Caption Concreteness For Multimodal Dataset Curation, by Moran Yanuka et al.
Summary of Vbart: the Turkish Llm, by Meliksah Turker et al.
Summary of Vnlp: Turkish Nlp Package, by Meliksah Turker et al.
Summary of Near-optimal Per-action Regret Bounds For Sleeping Bandits, by Quan Nguyen et al.
Summary of High-dimensional Tail Index Regression: with An Application to Text Analyses Of Viral Posts in Social Media, by Yuya Sasaki et al.
Summary of Less Is More: Hop-wise Graph Attention For Scalable and Generalizable Learning on Circuits, by Chenhui Deng et al.
Summary of Bespoke Non-stationary Solvers For Fast Sampling Of Diffusion and Flow Models, by Neta Shaul et al.
Summary of Mitigating the Bias in the Model For Continual Test-time Adaptation, by Inseop Chung et al.
Summary of Improve Cost Efficiency Of Active Learning Over Noisy Dataset, by Zan-kai Chong et al.
Summary of Sangria: Stacked Autoencoder Neural Networks with Gradient Boosting For Indoor Localization, by Danish Gufran et al.
Summary of Improving Uncertainty Sampling with Bell Curve Weight Function, by Zan-kai Chong et al.
Summary of Bandit Profit-maximization For Targeted Marketing, by Joon Suk Huh et al.
Summary of Exponential Family Dynamical Systems (xfads): Large-scale Nonlinear Gaussian State-space Modeling, by Matthew Dowling et al.
Summary of On the Compressibility Of Quantized Large Language Models, by Yu Mao et al.
Summary of Fusion Of Gaussian Processes Predictions with Monte Carlo Sampling, by Marzieh Ajirak et al.