Paper List

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Summary of Quantum Algorithm For Sparse Online Learning with Truncated Gradient Descent, by Debbie Lim et al.
Summary of Calibrating For the Future:enhancing Calorimeter Longevity with Deep Learning, by S. Ali et al.
Summary of Improved Regret Of Linear Ensemble Sampling, by Harin Lee et al.
Summary of Towards Personalized Federated Learning Via Comprehensive Knowledge Distillation, by Pengju Wang and Bochao Liu and Weijia Guo and Yong Li and Shiming Ge
Summary of An Experimental Study on Decomposition-based Deep Ensemble Learning For Traffic Flow Forecasting, by Qiyuan Zhu et al.
Summary of Enhancing the Expressivity Of Temporal Graph Networks Through Source-target Identification, by Benedict Aaron Tjandra et al.
Summary of Open-source High-speed Flight Surrogate Modeling Framework, by Tyler E. Korenyi-both et al.
Summary of A Subsampling Based Neural Network For Spatial Data, by Debjoy Thakur
Summary of Temporal-difference Learning Using Distributed Error Signals, by Jonas Guan et al.
Summary of Fully Hyperbolic Rotation For Knowledge Graph Embedding, by Qiuyu Liang and Weihua Wang and Feilong Bao and Guanglai Gao
Summary of Segmn: a Structure-enhanced Graph Matching Network For Graph Similarity Learning, by Wenjun Wang et al.
Summary of Constrained Multi-objective Bayesian Optimization Through Optimistic Constraints Estimation, by Diantong Li et al.
Summary of Policy Aggregation, by Parand A. Alamdari et al.
Summary of Multi-model Ensemble Conformal Prediction in Dynamic Environments, by Erfan Hajihashemi and Yanning Shen
Summary of Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach, by Hanyang Yuan et al.
Summary of Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation, by Long Shi et al.
Summary of Neurips 2023 Competition: Privacy Preserving Federated Learning Document Vqa, by Marlon Tobaben et al.
Summary of Beyond Model Adaptation at Test Time: a Survey, by Zehao Xiao et al.
Summary of Propneat — Efficient Gpu-compatible Backpropagation Over Neuroevolutionary Augmenting Topology Networks, by Michael Merry et al.
Summary of Human-in-the-loop Feature Selection Using Interpretable Kolmogorov-arnold Network-based Double Deep Q-network, by Md Abrar Jahin et al.
Summary of Reducing Hyperparameter Tuning Costs in Ml, Vision and Language Model Training Pipelines Via Memoization-awareness, by Abdelmajid Essofi et al.
Summary of Adaptive Consensus Gradients Aggregation For Scaled Distributed Training, by Yoni Choukroun et al.
Summary of Graph Neural Networks with Coarse- and Fine-grained Division For Mitigating Label Sparsity and Noise, by Shuangjie Li et al.
Summary of Ruag: Learned-rule-augmented Generation For Large Language Models, by Yudi Zhang et al.
Summary of Enhancing Table Representations with Llm-powered Synthetic Data Generation, by Dayu Yang et al.
Summary of A Comprehensive Survey Of Small Language Models in the Era Of Large Language Models: Techniques, Enhancements, Applications, Collaboration with Llms, and Trustworthiness, by Fali Wang et al.
Summary of Spinex_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration, by Mz Naser et al.
Summary of Self-calibrated Tuning Of Vision-language Models For Out-of-distribution Detection, by Geng Yu et al.
Summary of Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model, by Yiwei Dong et al.
Summary of Energy Price Modelling: a Comparative Evaluation Of Four Generations Of Forecasting Methods, by Alexandru-victor Andrei et al.
Summary of Quantifying Aleatoric Uncertainty Of the Treatment Effect: a Novel Orthogonal Learner, by Valentyn Melnychuk et al.
Summary of Solving Stochastic Partial Differential Equations Using Neural Networks in the Wiener Chaos Expansion, by Ariel Neufeld et al.
Summary of Solving Trojan Detection Competitions with Linear Weight Classification, by Todd Huster et al.
Summary of Pathway-guided Optimization Of Deep Generative Molecular Design Models For Cancer Therapy, by Alif Bin Abdul Qayyum et al.
Summary of Fourier Analysis Of Variational Quantum Circuits For Supervised Learning, by Marco Wiedmann and Maniraman Periyasamy and Daniel D. Scherer
Summary of Laser: Attention with Exponential Transformation, by Sai Surya Duvvuri et al.
Summary of Change Is the Only Constant: Dynamic Llm Slicing Based on Layer Redundancy, by Razvan-gabriel Dumitru et al.
Summary of Understanding Self-supervised Learning Via Gaussian Mixture Models, by Parikshit Bansal et al.
Summary of Pace: Pacing Operator Learning to Accurate Optical Field Simulation For Complicated Photonic Devices, by Hanqing Zhu et al.
Summary of Two-stage Pretraining For Molecular Property Prediction in the Wild, by Kevin Tirta Wijaya et al.
Summary of Long Context Rag Performance Of Large Language Models, by Quinn Leng et al.
Summary of Do Mice Grok? Glimpses Of Hidden Progress During Overtraining in Sensory Cortex, by Tanishq Kumar et al.
Summary of Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level, by Antoine Grosnit et al.
Summary of Correlating Variational Autoencoders Natively For Multi-view Imputation, by Ella S. C. Orme et al.
Summary of Near-optimal Dynamic Regret For Adversarial Linear Mixture Mdps, by Long-fei Li et al.
Summary of Evaluating Machine Learning Models Against Clinical Protocols For Enhanced Interpretability and Continuity Of Care, by Christel Sirocchi et al.
Summary of Machine Learning Innovations in Cpr: a Comprehensive Survey on Enhanced Resuscitation Techniques, by Saidul Islam et al.
Summary of Pre-trained Visual Dynamics Representations For Efficient Policy Learning, by Hao Luo et al.
Summary of Beyond Grid Data: Exploring Graph Neural Networks For Earth Observation, by Shan Zhao et al.
Summary of Navigating Extremes: Dynamic Sparsity in Large Output Spaces, by Nasib Ullah and Erik Schultheis and Mike Lasby and Yani Ioannou and Rohit Babbar
Summary of Interpretable Predictive Models For Healthcare Via Rational Logistic Regression, by Thiti Suttaket et al.
Summary of Online Data Collection For Efficient Semiparametric Inference, by Shantanu Gupta et al.
Summary of Kernel Orthogonality Does Not Necessarily Imply a Decrease in Feature Map Redundancy in Cnns: Convolutional Similarity Minimization, by Zakariae Belmekki et al.
Summary of Topograph: An Efficient Graph-based Framework For Strictly Topology Preserving Image Segmentation, by Laurin Lux et al.
Summary of Enhancing Transformer Training Efficiency with Dynamic Dropout, by Hanrui Yan et al.
Summary of Difflm: Controllable Synthetic Data Generation Via Diffusion Language Models, by Ying Zhou et al.
Summary of Discovering Data Structures: Nearest Neighbor Search and Beyond, by Omar Salemohamed et al.
Summary of Proxy-informed Bayesian Transfer Learning with Unknown Sources, by Sabina J. Sloman et al.
Summary of Oblivious Defense in Ml Models: Backdoor Removal Without Detection, by Shafi Goldwasser et al.
Summary of Graph-based Semi-supervised Segregated Lipschitz Learning, by Farid Bozorgnia et al.
Summary of Inference Optimal Vlms Need Only One Visual Token but Larger Models, by Kevin Y. Li et al.
Summary of Towards More Accurate Us Presidential Election Via Multi-step Reasoning with Large Language Models, by Chenxiao Yu et al.
Summary of Unlocking the Archives: Using Large Language Models to Transcribe Handwritten Historical Documents, by Mark Humphries et al.
Summary of Gradient Descent Finds Over-parameterized Neural Networks with Sharp Generalization For Nonparametric Regression, by Yingzhen Yang et al.
Summary of Theoretically Guaranteed Distribution Adaptable Learning, by Chao Xu et al.
Summary of Textual Aesthetics in Large Language Models, by Lingjie Jiang et al.
Summary of A Post-training Enhanced Optimization Approach For Small Language Models, by Keke Zhai
Summary of Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery, By Mohammad Kakooei et al.
Summary of A Mamba Foundation Model For Time Series Forecasting, by Haoyu Ma et al.
Summary of Time-causal Vae: Robust Financial Time Series Generator, by Beatrice Acciaio et al.
Summary of A Scalable Generative Model For Dynamical System Reconstruction From Neuroimaging Data, by Eric Volkmann et al.
Summary of Imudiffusion: a Diffusion Model For Multivariate Time Series Synthetisation For Inertial Motion Capturing Systems, by Heiko Oppel and Michael Munz
Summary of Confidence Calibration Of Classifiers with Many Classes, by Adrien Lecoz et al.
Summary of Suds: a Strategy For Unsupervised Drift Sampling, by Christofer Fellicious et al.
Summary of Pv-faultnet: Optimized Cnn Architecture to Detect Defects Resulting Efficient Pv Production, by Eiffat E Zaman and Rahima Khanam
Summary of Controlling For Unobserved Confounding with Large Language Model Classification Of Patient Smoking Status, by Samuel Lee and Zach Wood-doughty
Summary of Da-moe: Addressing Depth-sensitivity in Graph-level Analysis Through Mixture Of Experts, by Zelin Yao et al.
Summary of Testing Generalizability in Causal Inference, by Daniel De Vassimon Manela et al.
Summary of Graph Agnostic Causal Bayesian Optimisation, by Sumantrak Mukherjee et al.
Summary of Can Transformers Smell Like Humans?, by Farzaneh Taleb et al.
Summary of Rethinking Decoders For Transformer-based Semantic Segmentation: a Compression Perspective, by Qishuai Wen and Chun-guang Li
Summary of Enhancing Dp-sgd Through Non-monotonous Adaptive Scaling Gradient Weight, by Tao Huang et al.
Summary of Atm: Improving Model Merging by Alternating Tuning and Merging, By Luca Zhou et al.
Summary of How Much Is a Noisy Image Worth? Data Scaling Laws For Ambient Diffusion, by Giannis Daras and Yeshwanth Cherapanamjeri and Constantinos Daskalakis
Summary of Generalization and Risk Bounds For Recurrent Neural Networks, by Xuewei Cheng and Ke Huang and Shujie Ma
Summary of Stochastic Monkeys at Play: Random Augmentations Cheaply Break Llm Safety Alignment, by Jason Vega et al.
Summary of Brainbits: How Much Of the Brain Are Generative Reconstruction Methods Using?, by David Mayo et al.
Summary of Language Models and Cycle Consistency For Self-reflective Machine Translation, by Jianqiao Wangni
Summary of Specialized Foundation Models Struggle to Beat Supervised Baselines, by Zongzhe Xu et al.
Summary of Query-efficient Adversarial Attack Against Vertical Federated Graph Learning, by Jinyin Chen et al.
Summary of Sparse Orthogonal Parameters Tuning For Continual Learning, by Kun-peng Ning et al.
Summary of Conditional Vendi Score: An Information-theoretic Approach to Diversity Evaluation Of Prompt-based Generative Models, by Mohammad Jalali et al.
Summary of Layer-adaptive State Pruning For Deep State Space Models, by Minseon Gwak et al.
Summary of Mixtures Of In-context Learners, by Giwon Hong et al.
Summary of Correlation Of Object Detection Performance with Visual Saliency and Depth Estimation, by Matthias Bartolo et al.
Summary of On the Comparison Between Multi-modal and Single-modal Contrastive Learning, by Wei Huang et al.
Summary of Continual Audio-visual Sound Separation, by Weiguo Pian et al.
Summary of Analyzing Poverty Through Intra-annual Time-series: a Wavelet Transform Approach, by Mohammad Kakooei et al.
Summary of Dissecting the Failure Of Invariant Learning on Graphs, by Qixun Wang et al.
Summary of Enhancing Adversarial Robustness Via Uncertainty-aware Distributional Adversarial Training, by Junhao Dong et al.