Paper List

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Summary of Contrastive Learning For Regression on Hyperspectral Data, by Mohamad Dhaini et al.
Summary of Heal-vit: Vision Transformers on a Spherical Mesh For Medium-range Weather Forecasting, by Vivek Ramavajjala
Summary of The N+ Implementation Details Of Rlhf with Ppo: a Case Study on Tl;dr Summarization, by Shengyi Huang et al.
Summary of Causal Discovery From Poisson Branching Structural Causal Model Using High-order Cumulant with Path Analysis, by Jie Qiao et al.
Summary of Differentially Private Online Federated Learning with Correlated Noise, by Jiaojiao Zhang and Linglingzhi Zhu and Mikael Johansson
Summary of Accelerating Federated Learning by Selecting Beneficial Herd Of Local Gradients, By Ping Luo et al.
Summary of Fedfixer: Mitigating Heterogeneous Label Noise in Federated Learning, by Xinyuan Ji and Zhaowei Zhu and Wei Xi and Olga Gadyatskaya and Zilong Song and Yong Cai and Yang Liu
Summary of Revealing Vulnerabilities Of Neural Networks in Parameter Learning and Defense Against Explanation-aware Backdoors, by Md Abdul Kadir et al.
Summary of Nsina: a News Corpus For Sinhala, by Hansi Hettiarachchi et al.
Summary of In the Search For Optimal Multi-view Learning Models For Crop Classification with Global Remote Sensing Data, by Francisco Mena et al.
Summary of Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-focus, by Chen Li et al.
Summary of Deciphering the Interplay Between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy, by Xiaojin Zhang et al.
Summary of Calibrating Bayesian Unet++ For Sub-seasonal Forecasting, by Busra Asan et al.
Summary of A Comparative Analysis Of Embedding Models For Patent Similarity, by Grazia Sveva Ascione and Valerio Sterzi
Summary of A Novel Loss Function-based Support Vector Machine For Binary Classification, by Yan Li and Liping Zhang
Summary of Graph Augmentation For Recommendation, by Qianru Zhang and Lianghao Xia and Xuheng Cai and Siuming Yiu and Chao Huang and Christian S. Jensen
Summary of Fool: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression, by Alireza Furutanpey et al.
Summary of One-shot Domain Incremental Learning, by Yasushi Esaki and Satoshi Koide and Takuro Kutsuna
Summary of Symmetric Basis Convolutions For Learning Lagrangian Fluid Mechanics, by Rene Winchenbach and Nils Thuerey
Summary of Deepknowledge: Generalisation-driven Deep Learning Testing, by Sondess Missaoui et al.
Summary of Synthetic Data Generation and Joint Learning For Robust Code-mixed Translation, by Kartik Kartik et al.
Summary of The Anatomy Of Adversarial Attacks: Concept-based Xai Dissection, by Georgii Mikriukov et al.
Summary of Enhancing Neural Network Representations with Prior Knowledge-based Normalization, by Bilal Faye et al.
Summary of Graphs Generalization Under Distribution Shifts, by Qin Tian et al.
Summary of Predictive Inference in Multi-environment Scenarios, by John C. Duchi et al.
Summary of Generating Potent Poisons and Backdoors From Scratch with Guided Diffusion, by Hossein Souri et al.
Summary of Learning Action-based Representations Using Invariance, by Max Rudolph et al.
Summary of Signsgd with Federated Voting, by Chanho Park et al.
Summary of Real-time Adaptation For Condition Monitoring Signal Prediction Using Label-aware Neural Processes, by Seokhyun Chung et al.
Summary of Proin: Learning to Predict Trajectory Based on Progressive Interactions For Autonomous Driving, by Yinke Dong et al.
Summary of Concurrent Linguistic Error Detection (cled) For Large Language Models, by Jinhua Zhu et al.
Summary of Skews in the Phenomenon Space Hinder Generalization in Text-to-image Generation, by Yingshan Chang et al.
Summary of Ensemble Adversarial Defense Via Integration Of Multiple Dispersed Low Curvature Models, by Kaikang Zhao et al.
Summary of Rethinking the Representation in Federated Unsupervised Learning with Non-iid Data, by Xinting Liao et al.
Summary of If Clip Could Talk: Understanding Vision-language Model Representations Through Their Preferred Concept Descriptions, by Reza Esfandiarpoor et al.
Summary of Deepmachining: Online Prediction Of Machining Errors Of Lathe Machines, by Xiang-li Lu et al.
Summary of Fedac: An Adaptive Clustered Federated Learning Framework For Heterogeneous Data, by Yuxin Zhang et al.
Summary of On the Rates Of Convergence For Learning with Convolutional Neural Networks, by Yunfei Yang et al.
Summary of Learning From Reduced Labels For Long-tailed Data, by Meng Wei et al.
Summary of Determined Multi-label Learning Via Similarity-based Prompt, by Meng Wei et al.
Summary of Pathotune: Adapting Visual Foundation Model to Pathological Specialists, by Jiaxuan Lu et al.
Summary of Lsttn: a Long-short Term Transformer-based Spatio-temporal Neural Network For Traffic Flow Forecasting, by Qinyao Luo et al.
Summary of Human Understanding Ai Paper Challenge 2024 — Dataset Design, by Se Won Oh et al.
Summary of A Multi-label Dataset Of French Fake News: Human and Machine Insights, by Benjamin Icard et al.
Summary of Opportunities and Challenges in the Application Of Large Artificial Intelligence Models in Radiology, by Liangrui Pan et al.
Summary of A Transformer Approach For Electricity Price Forecasting, by Oscar Llorente and Jose Portela
Summary of Self-supervised Multi-frame Neural Scene Flow, by Dongrui Liu et al.
Summary of Akbr: Learning Adaptive Kernel-based Representations For Graph Classification, by Feifei Qian et al.
Summary of Sshpool: the Separated Subgraph-based Hierarchical Pooling, by Zhuo Xu et al.
Summary of A Survey on Self-supervised Graph Foundation Models: Knowledge-based Perspective, by Ziwen Zhao et al.
Summary of One Masked Model Is All You Need For Sensor Fault Detection, Isolation and Accommodation, by Yiwei Fu et al.
Summary of An Analytic Solution to Covariance Propagation in Neural Networks, by Oren Wright et al.
Summary of Logic-based Explanations For Linear Support Vector Classifiers with Reject Option, by Francisco Mateus Rocha Filho et al.
Summary of Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace For Clean Signals, By Rui Zheng et al.
Summary of From Discrete to Continuous: Deep Fair Clustering with Transferable Representations, by Xiang Zhang
Summary of An Early Warning Indicator Trained on Stochastic Disease-spreading Models with Different Noises, by Amit K. Chakraborty et al.
Summary of Systematic Construction Of Continuous-time Neural Networks For Linear Dynamical Systems, by Chinmay Datar et al.
Summary of On the Equivalency, Substitutability, and Flexibility Of Synthetic Data, by Che-jui Chang et al.
Summary of Partially Blinded Unlearning: Class Unlearning For Deep Networks a Bayesian Perspective, by Subhodip Panda and Shashwat Sourav and Prathosh A.p
Summary of Improving Sequence-to-sequence Models For Abstractive Text Summarization Using Meta Heuristic Approaches, by Aditya Saxena et al.
Summary of Out-of-distribution Detection Via Deep Multi-comprehension Ensemble, by Chenhui Xu et al.
Summary of The Evolution Of Football Betting- a Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation, by Purnachandra Mandadapu
Summary of Interpretable Modeling Of Deep Reinforcement Learning Driven Scheduling, by Boyang Li et al.
Summary of Initialisation and Network Effects in Decentralised Federated Learning, by Arash Badie-modiri et al.
Summary of Fast and Unified Path Gradient Estimators For Normalizing Flows, by Lorenz Vaitl et al.
Summary of Towards Low-energy Adaptive Personalization For Resource-constrained Devices, by Yushan Huang et al.
Summary of Deep Gaussian Covariance Network with Trajectory Sampling For Data-efficient Policy Search, by Can Bogoclu and Robert Vosshall and Kevin Cremanns and Dirk Roos
Summary of Safe Reinforcement Learning For Constrained Markov Decision Processes with Stochastic Stopping Time, by Abhijit Mazumdar and Rafal Wisniewski and Manuela L. Bujorianu
Summary of Understanding Domain-size Generalization in Markov Logic Networks, by Florian Chen et al.
Summary of Sample and Communication Efficient Fully Decentralized Marl Policy Evaluation Via a New Approach: Local Td Update, by Fnu Hairi et al.
Summary of Understanding the Effectiveness Of Lossy Compression in Machine Learning Training Sets, by Robert Underwood et al.
Summary of Detection Of Problem Gambling with Less Features Using Machine Learning Methods, by Yang Jiao et al.
Summary of Knowledge-guided Machine Learning: Current Trends and Future Prospects, by Anuj Karpatne et al.
Summary of Near-optimal Differentially Private Low-rank Trace Regression with Guaranteed Private Initialization, by Mengyue Zha
Summary of A Unified Module For Accelerating Stable-diffusion: Lcm-lora, by Ayush Thakur and Rashmi Vashisth
Summary of Exploring the Impact Of Dataset Bias on Dataset Distillation, by Yao Lu et al.
Summary of A Federated Parameter Aggregation Method For Node Classification Tasks with Different Graph Network Structures, by Hao Song et al.
Summary of Learning Directed Acyclic Graphs From Partial Orderings, by Ali Shojaie and Wenyu Chen
Summary of Vcr-graphormer: a Mini-batch Graph Transformer Via Virtual Connections, by Dongqi Fu et al.
Summary of Node Classification Via Semantic-structural Attention-enhanced Graph Convolutional Networks, by Hongyin Zhu
Summary of Improving Demand Forecasting in Open Systems with Cartogram-enhanced Deep Learning, by Sangjoon Park et al.
Summary of Manifold Regularization Classification Model Based on Improved Diffusion Map, by Hongfu Guo et al.
Summary of Ibcb: Efficient Inverse Batched Contextual Bandit For Behavioral Evolution History, by Yi Xu et al.
Summary of Data-centric Prediction Explanation Via Kernelized Stein Discrepancy, by Mahtab Sarvmaili et al.
Summary of Fairerclip: Debiasing Clip’s Zero-shot Predictions Using Functions in Rkhss, by Sepehr Dehdashtian et al.
Summary of Efficiently Assemble Normalization Layers and Regularization For Federated Domain Generalization, by Khiem Le et al.
Summary of Parametric Encoding with Attention and Convolution Mitigate Spectral Bias Of Neural Partial Differential Equation Solvers, by Mehdi Shishehbor et al.
Summary of Eagle: a Domain Generalization Framework For Ai-generated Text Detection, by Amrita Bhattacharjee et al.
Summary of Group Benefits Instances Selection For Data Purification, by Zhenhuang Cai et al.
Summary of The Effectiveness Of Local Updates For Decentralized Learning Under Data Heterogeneity, by Tongle Wu et al.
Summary of Gacl: Exemplar-free Generalized Analytic Continual Learning, by Huiping Zhuang et al.
Summary of Identifiable Latent Neural Causal Models, by Yuhang Liu et al.
Summary of Role Of Locality and Weight Sharing in Image-based Tasks: a Sample Complexity Separation Between Cnns, Lcns, and Fcns, by Aakash Lahoti et al.
Summary of Ev-edge: Efficient Execution Of Event-based Vision Algorithms on Commodity Edge Platforms, by Shrihari Sridharan et al.
Summary of Convection-diffusion Equation: a Theoretically Certified Framework For Neural Networks, by Tangjun Wang et al.
Summary of Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training, by Shuai Zhao et al.
Summary of On the Fragility Of Active Learners For Text Classification, by Abhishek Ghose and Emma Thuong Nguyen
Summary of Bend: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion, by Jia Wei et al.
Summary of Boarding For Iss: Imbalanced Self-supervised: Discovery Of a Scaled Autoencoder For Mixed Tabular Datasets, by Samuel Stocksieker et al.
Summary of Understanding Emergent Abilities Of Language Models From the Loss Perspective, by Zhengxiao Du et al.