Paper List

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Summary of Increasing Transformer Token Length with a Maximum Entropy Principle Method, by R. I. Cukier
Summary of Adapmoe: Adaptive Sensitivity-based Expert Gating and Management For Efficient Moe Inference, by Shuzhang Zhong et al.
Summary of Batgpt-chem: a Foundation Large Model For Retrosynthesis Prediction, by Yifei Yang et al.
Summary of Preference-optimized Pareto Set Learning For Blackbox Optimization, by Zhang Haishan et al.
Summary of Uniting Contrastive and Generative Learning For Event Sequences Models, by Aleksandr Yugay and Alexey Zaytsev
Summary of The Fairness-quality Trade-off in Clustering, by Rashida Hakim et al.
Summary of Unlocking the Power Of Lstm For Long Term Time Series Forecasting, by Yaxuan Kong et al.
Summary of Pinnde: Physics-informed Neural Networks For Solving Differential Equations, by Jason Matthews et al.
Summary of Exploiting Fine-grained Prototype Distribution For Boosting Unsupervised Class Incremental Learning, by Jiaming Liu et al.
Summary of Facial Wrinkle Segmentation For Cosmetic Dermatology: Pretraining with Texture Map-based Weak Supervision, by Junho Moon et al.
Summary of Efficient Exploration in Deep Reinforcement Learning: a Novel Bayesian Actor-critic Algorithm, by Nikolai Rozanov
Summary of Personalizing Reinforcement Learning From Human Feedback with Variational Preference Learning, by Sriyash Poddar et al.
Summary of Federated Frank-wolfe Algorithm, by Ali Dadras et al.
Summary of Masala: Model-agnostic Surrogate Explanations by Locality Adaptation, By Saif Anwar et al.
Summary of Tango: Clustering with Typicality-aware Nonlocal Mode-seeking and Graph-cut Optimization, by Haowen Ma et al.
Summary of Perturb-and-compare Approach For Detecting Out-of-distribution Samples in Constrained Access Environments, by Heeyoung Lee et al.
Summary of Plutus: a Well Pre-trained Large Unified Transformer Can Unveil Financial Time Series Regularities, by Yuanjian Xu et al.
Summary of Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models, by Tianyu Zhang and Yuxiang Ren and Chengbin Hou and Hairong Lv and Xuegong Zhang
Summary of Learning Brave Assumption-based Argumentation Frameworks Via Asp, by Emanuele De Angelis (1) et al.
Summary of Robust Spectral Clustering with Rank Statistics, by Joshua Cape and Xianshi Yu and Jonquil Z. Liao
Summary of In-context Learning with Representations: Contextual Generalization Of Trained Transformers, by Tong Yang et al.
Summary of Multilingual Needle in a Haystack: Investigating Long-context Behavior Of Multilingual Large Language Models, by Amey Hengle et al.
Summary of Transformers to Ssms: Distilling Quadratic Knowledge to Subquadratic Models, by Aviv Bick et al.
Summary of Liquid Fourier Latent Dynamics Networks For Fast Gpu-based Numerical Simulations in Computational Cardiology, by Matteo Salvador and Alison L. Marsden
Summary of A Population-to-individual Tuning Framework For Adapting Pretrained Lm to On-device User Intent Prediction, by Jiahui Gong et al.
Summary of Symplectic Neural Networks Based on Dynamical Systems, by Benjamin K Tapley
Summary of Machine Learning with Physics Knowledge For Prediction: a Survey, by Joe Watson et al.
Summary of Mitigating the Stability-plasticity Dilemma in Adaptive Train Scheduling with Curriculum-driven Continual Dqn Expansion, by Achref Jaziri et al.
Summary of Shortcircuit: Alphazero-driven Circuit Design, by Dimitrios Tsaras et al.
Summary of 3d-aware Instance Segmentation and Tracking in Egocentric Videos, by Yash Bhalgat et al.
Summary of Maple: Enhancing Review Generation with Multi-aspect Prompt Learning in Explainable Recommendation, by Ching-wen Yang et al.
Summary of New Spectral Imaging Biomarkers For Sepsis and Mortality in Intensive Care, by Silvia Seidlitz et al.
Summary of Gino-q: Learning An Asymptotically Optimal Index Policy For Restless Multi-armed Bandits, by Gongpu Chen et al.
Summary of Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates, by Puning Zhao et al.
Summary of Performance Law Of Large Language Models, by Chuhan Wu et al.
Summary of Instruction-based Molecular Graph Generation with Unified Text-graph Diffusion Model, by Yuran Xiang et al.
Summary of Active Learning For Identifying Disaster-related Tweets: a Comparison with Keyword Filtering and Generic Fine-tuning, by David Hanny et al.
Summary of Data Augmentation Of Contrastive Learning Is Estimating Positive-incentive Noise, by Hongyuan Zhang et al.
Summary of Weakly Supervised Pretraining and Multi-annotator Supervised Finetuning For Facial Wrinkle Detection, by Ik Jun Moon et al.
Summary of Adaresnet: Enhancing Residual Networks with Dynamic Weight Adjustment For Improved Feature Integration, by Hong Su
Summary of Mask in the Mirror: Implicit Sparsification, by Tom Jacobs and Rebekka Burkholz
Summary of Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: a Robust Optimization Technique, by Andrew Kiruluta et al.
Summary of The Exploration-exploitation Dilemma Revisited: An Entropy Perspective, by Renye Yan et al.
Summary of Modegpt: Modular Decomposition For Large Language Model Compression, by Chi-heng Lin et al.
Summary of On the Necessity Of World Knowledge For Mitigating Missing Labels in Extreme Classification, by Jatin Prakash et al.
Summary of Attention Is a Smoothed Cubic Spline, by Zehua Lai et al.
Summary of Meta-learning on Augmented Gene Expression Profiles For Enhanced Lung Cancer Detection, by Arya Hadizadeh Moghaddam et al.
Summary of Regularization For Adversarial Robust Learning, by Jie Wang and Rui Gao and Yao Xie
Summary of Contextual Bandits For Unbounded Context Distributions, by Puning Zhao et al.
Summary of Community-centric Graph Unlearning, by Yi Li et al.
Summary of Lightweather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting, by Yisong Fu et al.
Summary of Hyden: Hyperbolic Density Representations For Medical Images and Reports, by Zhi Qiao et al.
Summary of Confirmation Bias in Gaussian Mixture Models, by Amnon Balanov et al.
Summary of Towards Few-shot Learning in the Open World: a Review and Beyond, by Hui Xue et al.
Summary of Stransformer: a Modular Approach For Extracting Inter-sequential and Temporal Information For Time-series Forecasting, by Jiaheng Yin et al.
Summary of Strategic Demonstration Selection For Improved Fairness in Llm In-context Learning, by Jingyu Hu et al.
Summary of Baby Bear: Seeking a Just Right Rating Scale For Scalar Annotations, by Xu Han et al.
Summary of Sequential Federated Learning in Hierarchical Architecture on Non-iid Datasets, by Xingrun Yan et al.
Summary of Faster Adaptive Decentralized Learning Algorithms, by Feihu Huang and Jianyu Zhao
Summary of Structure-enhanced Contrastive Learning For Graph Clustering, by Xunlian Wu et al.
Summary of Altbi: Constructing Improved Outlier Detection Models Via Optimization Of Inlier-memorization Effect, by Seoyoung Cho et al.
Summary of Enhance Modality Robustness in Text-centric Multimodal Alignment with Adversarial Prompting, by Yun-da Tsai et al.
Summary of Unsupervised Composable Representations For Audio, by Giovanni Bindi et al.
Summary of Parameterized Physics-informed Neural Networks For Parameterized Pdes, by Woojin Cho et al.
Summary of Attention Is Not What You Need: Revisiting Multi-instance Learning For Whole Slide Image Classification, by Xin Liu et al.
Summary of Reparameterized Multi-resolution Convolutions For Long Sequence Modelling, by Harry Jake Cunningham et al.
Summary of Advances in Multiple Instance Learning For Whole Slide Image Analysis: Techniques, Challenges, and Future Directions, by Jun Wang et al.
Summary of Advancements in Molecular Property Prediction: a Survey Of Single and Multimodal Approaches, by Tanya Liyaqat et al.
Summary of Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training, by Huitong Jin et al.
Summary of Leveraging Invariant Principle For Heterophilic Graph Structure Distribution Shifts, by Jinluan Yang et al.
Summary of Directed Exploration in Reinforcement Learning From Linear Temporal Logic, by Marco Bagatella et al.
Summary of Ancestral Reinforcement Learning: Unifying Zeroth-order Optimization and Genetic Algorithms For Reinforcement Learning, by So Nakashima and Tetsuya J. Kobayashi
Summary of Out-of-distribution Generalization Via Composition: a Lens Through Induction Heads in Transformers, by Jiajun Song et al.
Summary of A Unified Framework For Interpretable Transformers Using Pdes and Information Theory, by Yukun Zhang
Summary of Fine-gained Air Quality Inference Based on Low-quality Sensing Data Using Self-supervised Learning, by Meng Xu et al.
Summary of Deep Limit Model-free Prediction in Regression, by Kejin Wu and Dimitris N. Politis
Summary of Sample-optimal Large-scale Optimal Subset Selection, by Zaile Li et al.
Summary of Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-iid Datasets, by Shiyuan Zuo et al.
Summary of Seamless Integration: Sampling Strategies in Federated Learning Systems, by Tatjana Legler et al.
Summary of Say My Name: a Model’s Bias Discovery Framework, by Massimiliano Ciranni et al.
Summary of Addressing Heterogeneity in Federated Learning: Challenges and Solutions For a Shared Production Environment, by Tatjana Legler et al.
Summary of A Markov Random Field Multi-modal Variational Autoencoder, by Fouad Oubari et al.
Summary of Convolutional Conditional Neural Processes, by Wessel P. Bruinsma
Summary of Padetbench: Towards Benchmarking Physical Attacks Against Object Detection, by Jiawei Lian et al.
Summary of A Deep Neural Network Framework For Solving Forward and Inverse Problems in Delay Differential Equations, by Housen Wang et al.
Summary of Drl-based Resource Allocation For Motion Blur Resistant Federated Self-supervised Learning in Iov, by Xueying Gu et al.
Summary of Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier, by Lu Yi et al.
Summary of On the Improvement Of Generalization and Stability Of Forward-only Learning Via Neural Polarization, by Erik B. Terres-escudero et al.
Summary of Graph Classification with Gnns: Optimisation, Representation and Inductive Bias, by P. Krishna Kumar a and Harish G. Ramaswamy
Summary of Premap: a Unifying Preimage Approximation Framework For Neural Networks, by Xiyue Zhang et al.
Summary of A Benchmark Time Series Dataset For Semiconductor Fabrication Manufacturing Constructed Using Component-based Discrete-event Simulation Models, by Vamsi Krishna Pendyala et al.
Summary of Narrowing the Focus: Learned Optimizers For Pretrained Models, by Gus Kristiansen et al.
Summary of Learning Fair Invariant Representations Under Covariate and Correlation Shifts Simultaneously, by Dong Li et al.
Summary of Predicting Travel Demand Of a Bike Sharing System Using Graph Convolutional Neural Networks, by Ali Behroozi and Ali Edrisi
Summary of A Probabilistic Framework For Adapting to Changing and Recurring Concepts in Data Streams, by Ben Halstead et al.
Summary of Threshold Filtering Packing For Supervised Fine-tuning: Training Related Samples Within Packs, by Jiancheng Dong et al.
Summary of Improvement Of Bayesian Pinn Training Convergence in Solving Multi-scale Pdes with Noise, by Yilong Hou et al.
Summary of E-cgl: An Efficient Continual Graph Learner, by Jianhao Guo et al.
Summary of Mutual Information Multinomial Estimation, by Yanzhi Chen et al.
Summary of Detecting the Undetectable: Combining Kolmogorov-arnold Networks and Mlp For Ai-generated Image Detection, by Taharim Rahman Anon et al.