Paper List

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Summary of Theoretical Guarantees on the Best-of-n Alignment Policy, by Ahmad Beirami and Alekh Agarwal and Jonathan Berant and Alexander D’amour et al.
Summary of Shrinking Your Timestep: Towards Low-latency Neuromorphic Object Recognition with Spiking Neural Network, by Yongqi Ding et al.
Summary of Backdoor Attack on Unpaired Medical Image-text Foundation Models: a Pilot Study on Medclip, by Ruinan Jin et al.
Summary of Incorporating Geo-diverse Knowledge Into Prompting For Increased Geographical Robustness in Object Recognition, by Kyle Buettner et al.
Summary of Kernel-u-net: Multivariate Time Series Forecasting Using Custom Kernels, by Jiang You et al.
Summary of Uncertainty Regularized Evidential Regression, by Kai Ye et al.
Summary of Natural Language Processing and Multimodal Stock Price Prediction, by Kevin Taylor and Jerry Ng
Summary of Free Lunch For Federated Remote Sensing Target Fine-grained Classification: a Parameter-efficient Framework, by Shengchao Chen et al.
Summary of Pontryagin Neural Operator For Solving Parametric General-sum Differential Games, by Lei Zhang et al.
Summary of Exploring the Frontiers Of Llms in Psychological Applications: a Comprehensive Review, by Luoma Ke (1) et al.
Summary of Airi: Predicting Retention Indices and Their Uncertainties Using Artificial Intelligence, by Lewis Y. Geer et al.
Summary of Towards Modeling Uncertainties Of Self-explaining Neural Networks Via Conformal Prediction, by Wei Qian et al.
Summary of An Invariant Information Geometric Method For High-dimensional Online Optimization, by Zhengfei Zhang et al.
Summary of Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility, by Fang Kong et al.
Summary of Generalization Error Curves For Analytic Spectral Algorithms Under Power-law Decay, by Yicheng Li et al.
Summary of Synthetic Data in Ai: Challenges, Applications, and Ethical Implications, by Shuang Hao et al.
Summary of Pllama: An Open-source Large Language Model For Plant Science, by Xianjun Yang et al.
Summary of On the Expressive Power Of Graph Neural Networks, by Ashwin Nalwade et al.
Summary of Evaluating Fairness in Self-supervised and Supervised Models For Sequential Data, by Sofia Yfantidou et al.
Summary of Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences, by Piotr Skalski et al.
Summary of Zero-shot Active Learning Using Self Supervised Learning, by Abhishek Sinha et al.
Summary of Epa: Neural Collapse Inspired Robust Out-of-distribution Detector, by Jiawei Zhang et al.
Summary of Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices, by Anirudh Rajiv Menon et al.
Summary of Fairness Certification For Natural Language Processing and Large Language Models, by Vincent Freiberger et al.
Summary of Learning-based Agricultural Management in Partially Observable Environments Subject to Climate Variability, by Zhaoan Wang et al.
Summary of Efficient Sparse Least Absolute Deviation Regression with Differential Privacy, by Weidong Liu et al.
Summary of A Comprehensive Study Of Knowledge Editing For Large Language Models, by Ningyu Zhang et al.
Summary of Llm Maybe Longlm: Self-extend Llm Context Window Without Tuning, by Hongye Jin et al.
Summary of An Autoregressive Text-to-graph Framework For Joint Entity and Relation Extraction, by Urchade Zaratiana et al.
Summary of Self-play Fine-tuning Converts Weak Language Models to Strong Language Models, by Zixiang Chen and Yihe Deng and Huizhuo Yuan and Kaixuan Ji and Quanquan Gu
Summary of Optimizing Convolutional Neural Network Architecture, by Luis Balderas et al.
Summary of Mapping Walnut Water Stress with High Resolution Multispectral Uav Imagery and Machine Learning, by Kaitlyn Wang et al.
Summary of Boosting Defect Detection in Manufacturing Using Tensor Convolutional Neural Networks, by Pablo Martin-ramiro et al.
Summary of Deep Autoregressive Modeling For Land Use Land Cover, by Christopher Krapu et al.
Summary of Directional Antenna Systems For Long-range Through-wall Human Activity Recognition, by Julian Strohmayer and Martin Kampel
Summary of Swaptransformer: Highway Overtaking Tactical Planner Model Via Imitation Learning on Osha Dataset, by Alireza Shamsoshoara et al.
Summary of On Optimal Sampling For Learning Sdf Using Mlps Equipped with Positional Encoding, by Guying Lin et al.
Summary of Modular Learning Of Deep Causal Generative Models For High-dimensional Causal Inference, by Md Musfiqur Rahman et al.
Summary of Probmcl: Simple Probabilistic Contrastive Learning For Multi-label Visual Classification, by Ahmad Sajedi et al.
Summary of Point Cloud Classification Via Deep Set Linearized Optimal Transport, by Scott Mahan et al.
Summary of Concurrent Self-testing Of Neural Networks Using Uncertainty Fingerprint, by Soyed Tuhin Ahmed et al.
Summary of Tpc-vit: Token Propagation Controller For Efficient Vision Transformer, by Wentao Zhu
Summary of Studying and Recommending Information Highlighting in Stack Overflow Answers, by Shahla Shaan Ahmed et al.
Summary of Constrained Online Two-stage Stochastic Optimization: Algorithm with (and Without) Predictions, by Piao Hu et al.
Summary of Elastic Multi-gradient Descent For Parallel Continual Learning, by Fan Lyu et al.
Summary of Aircraft Landing Time Prediction with Deep Learning on Trajectory Images, by Liping Huang et al.
Summary of Global Convergence Of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction, by Jie Feng et al.
Summary of Scalable Manifold Learning by Uniform Landmark Sampling and Constrained Locally Linear Embedding, By Dehua Peng et al.
Summary of Utilizing Autoregressive Networks For Full Lifecycle Data Generation Of Rolling Bearings For Rul Prediction, by Junliang Wang et al.
Summary of Explainable Adaptive Tree-based Model Selection For Time Series Forecasting, by Matthias Jakobs and Amal Saadallah
Summary of Pac-bayes-chernoff Bounds For Unbounded Losses, by Ioar Casado et al.
Summary of Reinforcement Learning For Sar View Angle Inversion with Differentiable Sar Renderer, by Yanni Wang et al.
Summary of Quadratic Time-frequency Analysis Of Vibration Signals For Diagnosing Bearing Faults, by Mohammad Al-sa’d et al.
Summary of Freeze the Backbones: a Parameter-efficient Contrastive Approach to Robust Medical Vision-language Pre-training, by Jiuming Qin et al.
Summary of Deep-ela: Deep Exploratory Landscape Analysis with Self-supervised Pretrained Transformers For Single- and Multi-objective Continuous Optimization Problems, by Moritz Vinzent Seiler and Pascal Kerschke and Heike Trautmann
Summary of Jma: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example, by Benedetta Tondi et al.
Summary of Whole-examination Ai Estimation Of Fetal Biometrics From 20-week Ultrasound Scans, by Lorenzo Venturini et al.
Summary of Self-supervised Position Debiasing For Large Language Models, by Zhongkun Liu et al.
Summary of Motif-aware Riemannian Graph Neural Network with Generative-contrastive Learning, by Li Sun et al.
Summary of Graph Elimination Networks, by Shuo Wang et al.
Summary of Contrastive Sequential Interaction Network Learning on Co-evolving Riemannian Spaces, by Li Sun et al.
Summary of Do Concept Bottleneck Models Respect Localities?, by Naveen Raman et al.
Summary of Optimal Rates Of Kernel Ridge Regression Under Source Condition in Large Dimensions, by Haobo Zhang et al.
Summary of Balanced Graph Structure Information For Brain Disease Detection, by Falih Gozi Febrinanto et al.
Summary of Automating Leukemia Diagnosis with Autoencoders: a Comparative Study, by Minoo Sayyadpour et al.
Summary of Attractor Reconstruction with Reservoir Computers: the Effect Of the Reservoir’s Conditional Lyapunov Exponents on Faithful Attractor Reconstruction, by Joseph D. Hart
Summary of Balanced Multi-modal Federated Learning Via Cross-modal Infiltration, by Yunfeng Fan et al.
Summary of Evaluating the Fairness Of the Mimic-iv Dataset and a Baseline Algorithm: Application to the Icu Length Of Stay Prediction, by Alexandra Kakadiaris
Summary of Laffi: Leveraging Hybrid Natural Language Feedback For Fine-tuning Language Models, by Qianxi Li et al.
Summary of Taming Mode Collapse in Score Distillation For Text-to-3d Generation, by Peihao Wang et al.
Summary of Automated Model Selection For Tabular Data, by Avinash Amballa et al.
Summary of Woodscape Motion Segmentation For Autonomous Driving — Cvpr 2023 Omnicv Workshop Challenge, by Saravanabalagi Ramachandran and Nathaniel Cibik and Ganesh Sistu and John Mcdonald
Summary of Data Augmentation Techniques For Cross-domain Wifi Csi-based Human Activity Recognition, by Julian Strohmayer and Martin Kampel
Summary of Improve Fidelity and Utility Of Synthetic Credit Card Transaction Time Series From Data-centric Perspective, by Din-yin Hsieh et al.
Summary of Robust Meta-model For Predicting the Need For Blood Transfusion in Non-traumatic Icu Patients, by Alireza Rafiei et al.
Summary of Facebook Report on Privacy Of Fnirs Data, by Md Imran Hossen et al.
Summary of Downstream Task-oriented Generative Model Selections on Synthetic Data Training For Fraud Detection Models, by Yinan Cheng et al.
Summary of Machine Learning Classification Of Alzheimer’s Disease Stages Using Cerebrospinal Fluid Biomarkers Alone, by Vivek Kumar Tiwari et al.
Summary of Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt, by Jiaqi Liu et al.
Summary of Boosting Transformer’s Robustness and Efficacy in Ppg Signal Artifact Detection with Self-supervised Learning, by Thanh-dung Le
Summary of Class Relevance Learning For Out-of-distribution Detection, by Butian Xiong et al.
Summary of Sharp Analysis Of Power Iteration For Tensor Pca, by Yuchen Wu and Kangjie Zhou
Summary of Pac-bayesian Domain Adaptation Bounds For Multi-view Learning, by Mehdi Hennequin and Khalid Benabdeslem and Haytham Elghazel
Summary of Beyond Efficiency: a Systematic Survey Of Resource-efficient Large Language Models, by Guangji Bai et al.
Summary of A Compact Representation For Bayesian Neural Networks by Removing Permutation Symmetry, By Tim Z. Xiao et al.
Summary of Adversarially Trained Weighted Actor-critic For Safe Offline Reinforcement Learning, by Honghao Wei et al.
Summary of On Discprecncies Between Perturbation Evaluations Of Graph Neural Network Attributions, by Razieh Rezaei et al.
Summary of Communication-efficient Federated Learning For Leo Satellite Networks Integrated with Haps Using Hybrid Noma-ofdm, by Mohamed Elmahallawy et al.
Summary of Large Language Models Aren’t All That You Need, by Kiran Voderhobli Holla et al.
Summary of Stochastic Gradient Descent For Nonparametric Regression, by Xin Chen and Jason M. Klusowski
Summary of An Attempt to Generate New Bridge Types From Latent Space Of Generative Adversarial Network, by Hongjun Zhang
Summary of Graph Neural Networks in Intelligent Transportation Systems: Advances, Applications and Trends, by Hourun Li et al.
Summary of Diffusion Models, Image Super-resolution and Everything: a Survey, by Brian B. Moser et al.
Summary of Saliency-aware Regularized Graph Neural Network, by Wenjie Pei et al.
Summary of Mpre: Multi-perspective Patient Representation Extractor For Disease Prediction, by Ziyue Yu et al.
Summary of Unsupervised Outlier Detection Using Random Subspace and Subsampling Ensembles Of Dirichlet Process Mixtures, by Dongwook Kim et al.
Summary of Inferring Heterogeneous Treatment Effects Of Crashes on Highway Traffic: a Doubly Robust Causal Machine Learning Approach, by Shuang Li et al.
Summary of Secformer: Fast and Accurate Privacy-preserving Inference For Transformer Models Via Smpc, by Jinglong Luo et al.
Summary of Glimpse: Generalized Local Imaging with Mlps, by Amirehsan Khorashadizadeh et al.
Summary of A Review on Different Techniques Used to Combat the Non-iid and Heterogeneous Nature Of Data in Fl, by Venkataraman Natarajan Iyer