Paper List

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Summary of Umod: a Novel and Effective Urban Metro Origin-destination Flow Prediction Method, by Peng Xie et al.
Summary of Enhancing Convolutional Neural Networks with Higher-order Numerical Difference Methods, by Qi Wang et al.
Summary of Patchalign:fair and Accurate Skin Disease Image Classification by Alignment with Clinical Labels, By Aayushman et al.
Summary of Stacked Universal Successor Feature Approximators For Safety in Reinforcement Learning, by Ian Cannon et al.
Summary of Notes on Sampled Gaussian Mechanism, by Nikita P. Kalinin
Summary of Generalization Vs. Memorization in the Presence Of Statistical Biases in Transformers, by John Mitros
Summary of Privacy-preserving Race/ethnicity Estimation For Algorithmic Bias Measurement in the U.s, by Saikrishna Badrinarayanan et al.
Summary of Iife: Interaction Information Based Automated Feature Engineering, by Tom Overman et al.
Summary of Hierarchical Sparse Representation Clustering For High-dimensional Data Streams, by Jie Chen et al.
Summary of A Multi-scenario Attention-based Generative Model For Personalized Blood Pressure Time Series Forecasting, by Cheng Wan et al.
Summary of Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training, by Yuhan Ma et al.
Summary of Cross-organ Domain Adaptive Neural Network For Pancreatic Endoscopic Ultrasound Image Segmentation, by Zhichao Yan et al.
Summary of A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval, by Adarsh Barik et al.
Summary of A Comprehensive Survey on Evidential Deep Learning and Its Applications, by Junyu Gao et al.
Summary of Up-sampling-only and Adaptive Mesh-based Gnn For Simulating Physical Systems, by Fu Lin et al.
Summary of Grvfl-mv: Graph Random Vector Functional Link Based on Multi-view Learning, by M. Tanveer et al.
Summary of Lmgt: Optimizing Exploration-exploitation Balance in Reinforcement Learning Through Language Model Guided Trade-offs, by Yongxin Deng et al.
Summary of Adaptative Context Normalization: a Boost For Deep Learning in Image Processing, by Bilal Faye et al.
Summary of Unsupervised Adaptive Normalization, by Bilal Faye et al.
Summary of Explicit Mutual Information Maximization For Self-supervised Learning, by Lele Chang and Peilin Liu and Qinghai Guo and Fei Wen
Summary of Cross-dataset Gaze Estimation by Evidential Inter-intra Fusion, By Shijing Wang and Yaping Huang and Jun Xie and Yi Tian and Feng Chen and Zhepeng Wang
Summary of Optimization Hyper-parameter Laws For Large Language Models, by Xingyu Xie et al.
Summary of Loca: Logit Calibration For Knowledge Distillation, by Runming Yang et al.
Summary of Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges, by Parameswaran Kamalaruban et al.
Summary of Gaussian-mixture-model Q-functions For Reinforcement Learning by Riemannian Optimization, By Minh Vu and Konstantinos Slavakis
Summary of Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning, by Deniz Koyuncu et al.
Summary of Approximating Metric Magnitude Of Point Sets, by Rayna Andreeva et al.
Summary of Rlpf: Reinforcement Learning From Prediction Feedback For User Summarization with Llms, by Jiaxing Wu et al.
Summary of Hybrid Spiking Neural Networks For Low-power Intra-cortical Brain-machine Interfaces, by Alexandru Vasilache et al.
Summary of Vila-u: a Unified Foundation Model Integrating Visual Understanding and Generation, by Yecheng Wu et al.
Summary of Theory, Analysis, and Best Practices For Sigmoid Self-attention, by Jason Ramapuram et al.
Summary of Accelerating Training with Neuron Interaction and Nowcasting Networks, by Boris Knyazev et al.
Summary of Leveraging Large Language Models For Solving Rare Mip Challenges, by Teng Wang et al.
Summary of Evaluating Open-source Sparse Autoencoders on Disentangling Factual Knowledge in Gpt-2 Small, by Maheep Chaudhary and Atticus Geiger
Summary of Learning in Order! a Sequential Strategy to Learn Invariant Features For Multimodal Sentiment Analysis, by Xianbing Zhao et al.
Summary of Learning to Solve Combinatorial Optimization Under Positive Linear Constraints Via Non-autoregressive Neural Networks, by Runzhong Wang et al.
Summary of Benchmarking Estimators For Natural Experiments: a Novel Dataset and a Doubly Robust Algorithm, by R. Teal Witter and Christopher Musco
Summary of Chain-of-translation Prompting (cotr): a Novel Prompting Technique For Low Resource Languages, by Tejas Deshpande et al.
Summary of Operator Learning with Gaussian Processes, by Carlos Mora et al.
Summary of Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-tsf, by Anli Ji et al.
Summary of How Does Code Pretraining Affect Language Model Task Performance?, by Jackson Petty et al.
Summary of Cubicml: Automated Ml For Large Ml Systems Co-design with Ml Prediction Of Performance, by Wei Wen et al.
Summary of Whittle Index Learning Algorithms For Restless Bandits with Constant Stepsizes, by Vishesh Mittal et al.
Summary of Cuq-gnn: Committee-based Graph Uncertainty Quantification Using Posterior Networks, by Clemens Damke et al.
Summary of The Prevalence Of Neural Collapse in Neural Multivariate Regression, by George Andriopoulos et al.
Summary of Residual Stream Analysis with Multi-layer Saes, by Tim Lawson et al.
Summary of Reassessing the Validity Of Spurious Correlations Benchmarks, by Samuel J. Bell and Diane Bouchacourt and Levent Sagun
Summary of Towards Privacy-preserving Relational Data Synthesis Via Probabilistic Relational Models, by Malte Luttermann et al.
Summary of Advancing Multi-organ Disease Care: a Hierarchical Multi-agent Reinforcement Learning Framework, by Daniel J. Tan et al.
Summary of Fast Forwarding Low-rank Training, by Adir Rahamim et al.
Summary of Warpadam: a New Adam Optimizer Based on Meta-learning Approach, by Chengxi Pan et al.
Summary of Calibration Of Network Confidence For Unsupervised Domain Adaptation Using Estimated Accuracy, by Coby Penso and Jacob Goldberger
Summary of Attentionx: Exploiting Consensus Discrepancy in Attention From a Distributed Optimization Perspective, by Guoqiang Zhang and Richard Heusdens
Summary of Coxkan: Kolmogorov-arnold Networks For Interpretable, High-performance Survival Analysis, by William Knottenbelt et al.
Summary of A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous Solubility, by Muniba Batool et al.
Summary of Active Learning For Regression in Engineering Populations: a Risk-informed Approach, by Daniel R. Clarkson et al.
Summary of Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels, by Emma Svensson et al.
Summary of Amortized Bayesian Workflow (extended Abstract), by Marvin Schmitt et al.
Summary of A High-accuracy Multi-model Mixing Retrosynthetic Method, by Shang Xiang et al.
Summary of Agr: Age Group Fairness Reward For Bias Mitigation in Llms, by Shuirong Cao et al.
Summary of A Naive Aggregation Algorithm For Improving Generalization in a Class Of Learning Problems, by Getachew K Befekadu
Summary of Leveraging Machine Learning For Official Statistics: a Statistical Manifesto, by Marco Puts et al.
Summary of Algorithm Configuration For Structured Pfaffian Settings, by Maria-florina Balcan et al.
Summary of Can We Theoretically Quantify the Impacts Of Local Updates on the Generalization Performance Of Federated Learning?, by Peizhong Ju et al.
Summary of The Influence Of Faulty Labels in Data Sets on Human Pose Estimation, by Arnold Schwarz et al.
Summary of Active Sampling Of Interpolation Points to Identify Dominant Subspaces For Model Reduction, by Celine Reddig et al.
Summary of Overfitting Behaviour Of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality, by Marko Medvedev et al.
Summary of Understanding Fairness in Recommender Systems: a Healthcare Perspective, by Veronica Kecki et al.
Summary of On the Convergence Rates Of Federated Q-learning Across Heterogeneous Environments, by Muxing Wang et al.
Summary of Watermas: Sharpness-aware Maximization For Neural Network Watermarking, by Carl De Sousa Trias et al.
Summary of Asynchronous Stochastic Approximation and Average-reward Reinforcement Learning, by Huizhen Yu et al.
Summary of Entry-specific Matrix Estimation Under Arbitrary Sampling Patterns Through the Lens Of Network Flows, by Yudong Chen et al.
Summary of An Efficient and Generalizable Symbolic Regression Method For Time Series Analysis, by Yi Xie et al.
Summary of Goal-reaching Policy Learning From Non-expert Observations Via Effective Subgoal Guidance, by Renming Huang et al.
Summary of A Semi-supervised Learning Using Over-parameterized Regression, by Katsuyuki Hagiwara
Summary of Ui-jepa: Towards Active Perception Of User Intent Through Onscreen User Activity, by Yicheng Fu et al.
Summary of D4: Text-guided Diffusion Model-based Domain Adaptive Data Augmentation For Vineyard Shoot Detection, by Kentaro Hirahara et al.
Summary of Ultra-imbalanced Classification Guided by Statistical Information, By Yin Jin et al.
Summary of The Role Of Graph Topology in the Performance Of Biomedical Knowledge Graph Completion Models, by Alberto Cattaneo et al.
Summary of Mixnet: Joining Force Of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery Eeg Classification, by Phairot Autthasan et al.
Summary of Can Llms Generate Novel Research Ideas? a Large-scale Human Study with 100+ Nlp Researchers, by Chenglei Si et al.
Summary of Active-passive Federated Learning For Vertically Partitioned Multi-view Data, by Jiyuan Liu et al.
Summary of Half-vae: An Encoder-free Vae to Bypass Explicit Inverse Mapping, by Yuan-hao Wei et al.
Summary of A Fused Large Language Model For Predicting Startup Success, by Abdurahman Maarouf et al.
Summary of A Method to Benchmark High-dimensional Process Drift Detection, by Edgar Wolf and Tobias Windisch
Summary of Wind Turbine Condition Monitoring Based on Intra- and Inter-farm Federated Learning, by Albin Grataloup et al.
Summary of A New First-order Meta-learning Algorithm with Convergence Guarantees, by El Mahdi Chayti and Martin Jaggi
Summary of Classification and Prediction Of Heart Diseases Using Machine Learning Algorithms, by Akua Sekyiwaa Osei-nkwantabisa et al.
Summary of Safety Vs. Performance: How Multi-objective Learning Reduces Barriers to Market Entry, by Meena Jagadeesan et al.
Summary of Planning in Natural Language Improves Llm Search For Code Generation, by Evan Wang et al.
Summary of Inverse Decision-making Using Neural Amortized Bayesian Actors, by Dominik Straub et al.
Summary of Investigating Privacy Bias in Training Data Of Language Models, by Yan Shvartzshnaider and Vasisht Duddu
Summary of Differentiable Discrete Event Simulation For Queuing Network Control, by Ethan Che et al.
Summary of Wildvis: Open Source Visualizer For Million-scale Chat Logs in the Wild, by Yuntian Deng et al.
Summary of Dynamics Of Supervised and Reinforcement Learning in the Non-linear Perceptron, by Christian Schmid and James M. Murray
Summary of Rethinking Deep Learning: Propagating Information in Neural Networks Without Backpropagation and Statistical Optimization, by Kei Itoh
Summary of Lexicon3d: Probing Visual Foundation Models For Complex 3d Scene Understanding, by Yunze Man et al.
Summary of A Greedy Hierarchical Approach to Whole-network Filter-pruning in Cnns, by Kiran Purohit et al.
Summary of Emcnet : Graph-nets For Electron Micrographs Classification, by Sakhinana Sagar Srinivas et al.
Summary of Resultant: Incremental Effectiveness on Likelihood For Unsupervised Out-of-distribution Detection, by Yewen Li et al.