Paper List

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Summary of Dual-segment Clustering Strategy For Hierarchical Federated Learning in Heterogeneous Wireless Environments, by Pengcheng Sun et al.
Summary of Positional Knowledge Is All You Need: Position-induced Transformer (pit) For Operator Learning, by Junfeng Chen and Kailiang Wu
Summary of Tight Bounds For Online Convex Optimization with Adversarial Constraints, by Abhishek Sinha and Rahul Vaze
Summary of Gradient Boosted Filters For Signal Processing, by Jose A. Lopez et al.
Summary of A Click-through Rate Prediction Method Based on Cross-importance Of Multi-order Features, by Hao Wang and Nao Li
Summary of The Pitfalls and Promise Of Conformal Inference Under Adversarial Attacks, by Ziquan Liu et al.
Summary of Large Language Models For Human-machine Collaborative Particle Accelerator Tuning Through Natural Language, by Jan Kaiser et al.
Summary of Clip with Quality Captions: a Strong Pretraining For Vision Tasks, by Pavan Kumar Anasosalu Vasu et al.
Summary of Rs-reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing, by Aref Miri Rekavandi et al.
Summary of Feature Importance and Explainability in Quantum Machine Learning, by Luke Power and Krishnendu Guha
Summary of Neural Collapse Meets Differential Privacy: Curious Behaviors Of Noisygd with Near-perfect Representation Learning, by Chendi Wang et al.
Summary of Challenges in Deploying Long-context Transformers: a Theoretical Peak Performance Analysis, by Yao Fu
Summary of Neural Active Learning Meets the Partial Monitoring Framework, by Maxime Heuillet et al.
Summary of Bird’s-eye View to Street-view: a Survey, by Khawlah Bajbaa et al.
Summary of Gradient-free Training Of Recurrent Neural Networks Using Random Perturbations, by Jesus Garcia Fernandez et al.
Summary of Wearable Sensor-based Few-shot Continual Learning on Hand Gestures For Motor-impaired Individuals Via Latent Embedding Exploitation, by Riyad Bin Rafiq et al.
Summary of An Adaptive Approach to Bayesian Optimization with Switching Costs, by Stefan Pricopie et al.
Summary of A Distribution-free Valid P-value For Finite Samples Of Bounded Random Variables, by Joaquin Alvarez
Summary of Drgat: Attention-guided Gene Assessment Of Drug Response Utilizing a Drug-cell-gene Heterogeneous Network, by Yoshitaka Inoue et al.
Summary of What Is It For a Machine Learning Model to Have a Capability?, by Jacqueline Harding et al.
Summary of Robust Approximate Sampling Via Stochastic Gradient Barker Dynamics, by Lorenzo Mauri and Giacomo Zanella
Summary of Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy, by Feng Wang et al.
Summary of Deep Learning in Earthquake Engineering: a Comprehensive Review, by Yazhou Xie
Summary of Unmasking Efficiency: Learning Salient Sparse Models in Non-iid Federated Learning, by Riyasat Ohib et al.
Summary of Certifying Robustness Of Graph Convolutional Networks For Node Perturbation with Polyhedra Abstract Interpretation, by Boqi Chen et al.
Summary of Can We Defend Against the Unknown? An Empirical Study About Threshold Selection For Neural Network Monitoring, by Khoi Tran Dang et al.
Summary of Beyond the Black Box: Do More Complex Deep Learning Models Provide Superior Xai Explanations?, by Mateusz Cedro et al.
Summary of Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models, by Ronan Keane
Summary of Promoting Ai Equity in Science: Generalized Domain Prompt Learning For Accessible Vlm Research, by Qinglong Cao et al.
Summary of Weakly-supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity, by Wenrui Li et al.
Summary of Expensive Multi-objective Bayesian Optimization Based on Diffusion Models, by Bingdong Li et al.
Summary of Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory, by Xueyan Niu et al.
Summary of Addressing Misspecification in Simulation-based Inference Through Data-driven Calibration, by Antoine Wehenkel et al.
Summary of Energy-based Hopfield Boosting For Out-of-distribution Detection, by Claus Hofmann et al.
Summary of Reinformer: Max-return Sequence Modeling For Offline Rl, by Zifeng Zhuang et al.
Summary of Efficienttrain++: Generalized Curriculum Learning For Efficient Visual Backbone Training, by Yulin Wang et al.
Summary of Towards Enhanced Rac Accessibility: Leveraging Datasets and Llms, by Edison Jair Bejarano Sepulveda et al.
Summary of Jacobian Regularizer-based Neural Granger Causality, by Wanqi Zhou and Shuanghao Bai and Shujian Yu and Qibin Zhao and Badong Chen
Summary of A Brief Introduction to Causal Inference in Machine Learning, by Kyunghyun Cho
Summary of Cinepile: a Long Video Question Answering Dataset and Benchmark, by Ruchit Rawal et al.
Summary of Thermodynamic Limit in Learning Period Three, by Yuichiro Terasaki and Kohei Nakajima
Summary of Adversarial Machine Learning Threats to Spacecraft, by Rajiv Thummala et al.
Summary of Automated Deep Learning For Load Forecasting, by Julie Keisler (cristal et al.
Summary of Flexible: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-based Learning, By Duc Thinh Ngo (stack) et al.
Summary of Promptmind Team at Mediqa-corr 2024: Improving Clinical Text Correction with Error Categorization and Llm Ensembles, by Satya Kesav Gundabathula et al.
Summary of Tfwt: Tabular Feature Weighting with Transformer, by Xinhao Zhang et al.
Summary of Cier: a Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning, by Jingwen Wang et al.
Summary of Watermamba: Visual State Space Model For Underwater Image Enhancement, by Meisheng Guan et al.
Summary of Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More, by Fanchen Bu et al.
Summary of Dgcformer: Deep Graph Clustering Transformer For Multivariate Time Series Forecasting, by Qinshuo Liu et al.
Summary of Understanding the Performance Gap Between Online and Offline Alignment Algorithms, by Yunhao Tang et al.
Summary of Safety Constrained Multi-agent Reinforcement Learning For Active Voltage Control, by Yang Qu et al.
Summary of Improving the Real-data Driven Network Evaluation Model For Digital Twin Networks, by Hyeju Shin et al.
Summary of Gradient Boosting Mapping For Dimensionality Reduction and Feature Extraction, by Anri Patron et al.
Summary of Learning Decision Policies with Instrumental Variables Through Double Machine Learning, by Daqian Shao et al.
Summary of Falcon 7b For Software Mention Detection in Scholarly Documents, by Ameerali Khan and Qusai Ramadan and Cong Yang and Zeyd Boukhers
Summary of Eeg-features For Generalized Deepfake Detection, by Arian Beckmann et al.
Summary of Self-distillation Improves Dna Sequence Inference, by Tong Yu et al.
Summary of Learning Multi-agent Communication From Graph Modeling Perspective, by Shengchao Hu et al.
Summary of Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization, by Rui Li et al.
Summary of Improving Transformers with Dynamically Composable Multi-head Attention, by Da Xiao et al.
Summary of Risks and Opportunities Of Open-source Generative Ai, by Francisco Eiras et al.
Summary of Context-aware Diversity Enhancement For Neural Multi-objective Combinatorial Optimization, by Yongfan Lu et al.
Summary of Vmfer: Von Mises-fisher Experience Resampling Based on Uncertainty Of Gradient Directions For Policy Improvement, by Yiwen Zhu et al.
Summary of Conformalized Physics-informed Neural Networks, by Lena Podina et al.
Summary of Estimating Direct and Indirect Causal Effects Of Spatiotemporal Interventions in Presence Of Spatial Interference, by Sahara Ali et al.
Summary of Towards Energy-aware Federated Learning Via Marl: a Dual-selection Approach For Model and Client, by Jun Xia and Yi Zhang and Yiyu Shi
Summary of Modeling Of Time-varying Wireless Communication Channel with Fading and Shadowing, by Lee Youngmin et al.
Summary of Generative Enzyme Design Guided by Functionally Important Sites and Small-molecule Substrates, By Zhenqiao Song et al.
Summary of Interpreting Latent Student Knowledge Representations in Programming Assignments, by Nigel Fernandez et al.
Summary of Data Valuation with Gradient Similarity, by Nathaniel J. Evans et al.
Summary of Self-normalizing Foundation Model For Enhanced Multi-omics Data Analysis in Oncology, by Asim Waqas et al.
Summary of A Deep Dive Into the Factors Influencing Financial Success: a Machine Learning Approach, by Michael Zhou et al.
Summary of Additive-effect Assisted Learning, by Jiawei Zhang et al.
Summary of Compositional Text-to-image Generation with Dense Blob Representations, by Weili Nie et al.
Summary of Smart Sampling: Self-attention and Bootstrapping For Improved Ensembled Q-learning, by Muhammad Junaid Khan et al.
Summary of Thompson Sampling For Infinite-horizon Discounted Decision Processes, by Daniel Adelman et al.
Summary of Scalable Subsampling Inference For Deep Neural Networks, by Kejin Wu and Dimitris N. Politis
Summary of Distance-restricted Explanations: Theoretical Underpinnings & Efficient Implementation, by Yacine Izza et al.
Summary of Airport Delay Prediction with Temporal Fusion Transformers, by Ke Liu et al.
Summary of Deep Reinforcement Learning For Real-time Ground Delay Program Revision and Corresponding Flight Delay Assignments, by Ke Liu et al.
Summary of Could Chemical Llms Benefit From Message Passing, by Jiaqing Xie et al.
Summary of No-regret Learning Of Nash Equilibrium For Black-box Games Via Gaussian Processes, by Minbiao Han et al.
Summary of Towards Principled Evaluations Of Sparse Autoencoders For Interpretability and Control, by Aleksandar Makelov et al.
Summary of Localized Adaptive Risk Control, by Matteo Zecchin et al.
Summary of Mambaout: Do We Really Need Mamba For Vision?, by Weihao Yu et al.
Summary of The Platonic Representation Hypothesis, by Minyoung Huh et al.
Summary of A Survey Of Large Language Models For Graphs, by Xubin Ren et al.
Summary of Ctrl: Continuous-time Representation Learning on Temporal Heterogeneous Information Network, by Chenglin Li and Yuanzhen Xie and Chenyun Yu and Lei Cheng and Bo Hu and Zang Li and Di Niu
Summary of A Methodology-oriented Study Of Catastrophic Forgetting in Incremental Deep Neural Networks, by Ashutosh Kumar and Sonali Agarwal et al.
Summary of Translating Expert Intuition Into Quantifiable Features: Encode Investigator Domain Knowledge Via Llm For Enhanced Predictive Analytics, by Phoebe Jing et al.
Summary of Adakd: Dynamic Knowledge Distillation Of Asr Models Using Adaptive Loss Weighting, by Shreyan Ganguly et al.
Summary of Explainabledetector: Exploring Transformer-based Language Modeling Approach For Sms Spam Detection with Explainability Analysis, by Mohammad Amaz Uddin et al.
Summary of Reactxgb: a Hybrid Binary Convolutional Neural Network Architecture For Improved Performance and Computational Efficiency, by Po-hsun Chu and Ching-han Chen
Summary of Automating Data Annotation Under Strategic Human Agents: Risks and Potential Solutions, by Tian Xie et al.
Summary of Phudge: Phi-3 As Scalable Judge, by Mahesh Deshwal et al.
Summary of Hgtdr: Advancing Drug Repurposing with Heterogeneous Graph Transformers, by Ali Gharizadeh et al.
Summary of Predicting Ship Responses in Different Seaways Using a Generalizable Force Correcting Machine Learning Method, by Kyle E. Marlantes et al.
Summary of Fighter Flight Trajectory Prediction Based on Spatio-temporal Graphcial Attention Network, by Yao Sun (1) et al.
Summary of Powqmix: Weighted Value Factorization with Potentially Optimal Joint Actions Recognition For Cooperative Multi-agent Reinforcement Learning, by Chang Huang et al.