Paper List

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Summary of Ee-tuning: An Economical Yet Scalable Solution For Tuning Early-exit Large Language Models, by Xuchen Pan et al.
Summary of A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification, by Jacob Fein-ashley et al.
Summary of Tropical Decision Boundaries For Neural Networks Are Robust Against Adversarial Attacks, by Kurt Pasque and Christopher Teska and Ruriko Yoshida and Keiji Miura and Jefferson Huang
Summary of Dataset Condensation Driven Machine Unlearning, by Junaid Iqbal Khan
Summary of Continuous Treatment Effects with Surrogate Outcomes, by Zhenghao Zeng et al.
Summary of Determination Of Trace Organic Contaminant Concentration Via Machine Classification Of Surface-enhanced Raman Spectra, by Vishnu Jayaprakash et al.
Summary of An Experiment on Feature Selection Using Logistic Regression, by Raisa Islam et al.
Summary of Decentralised, Collaborative, and Privacy-preserving Machine Learning For Multi-hospital Data, by Congyu Fang et al.
Summary of Mp-sl: Multihop Parallel Split Learning, by Joana Tirana et al.
Summary of Positional Encoding Helps Recurrent Neural Networks Handle a Large Vocabulary, by Takashi Morita
Summary of Learning Label Hierarchy with Supervised Contrastive Learning, by Ruixue Lian et al.
Summary of Cnn-fl For Biotechnology Industry Empowered by Internet-of-bionano Things and Digital Twins, By Mohammad (behdad) Jamshidi et al.
Summary of Efficient Non-parametric Uncertainty Quantification For Black-box Large Language Models and Decision Planning, by Yao-hung Hubert Tsai et al.
Summary of A Survey on Hallucination in Large Vision-language Models, by Hanchao Liu and Wenyuan Xue and Yifei Chen and Dapeng Chen and Xiutian Zhao and Ke Wang and Liping Hou and Rongjun Li and Wei Peng
Summary of Vertical Symbolic Regression Via Deep Policy Gradient, by Nan Jiang et al.
Summary of Multi-group Learning For Hierarchical Groups, by Samuel Deng and Daniel Hsu
Summary of Understanding Neural Network Systems For Image Analysis Using Vector Spaces and Inverse Maps, by Rebecca Pattichis and Marios S. Pattichis
Summary of Self-supervised Learning Of Video Representations From a Child’s Perspective, by A. Emin Orhan et al.
Summary of An Accurate and Low-parameter Machine Learning Architecture For Next Location Prediction, by Calvin Jary and Nafiseh Kahani
Summary of Control in Stochastic Environment with Delays: a Model-based Reinforcement Learning Approach, by Zhiyuan Yao et al.
Summary of Online Distribution Learning with Local Private Constraints, by Jin Sima and Changlong Wu and Olgica Milenkovic and Wojciech Szpankowski
Summary of A Consistent Lebesgue Measure For Multi-label Learning, by Kaan Demir et al.
Summary of Piratenets: Physics-informed Deep Learning with Residual Adaptive Networks, by Sifan Wang et al.
Summary of Robustness Assessment Of a Runway Object Classifier For Safe Aircraft Taxiing, by Yizhak Elboher et al.
Summary of Kronecker Product Feature Fusion For Convolutional Neural Network in Remote Sensing Scene Classification, by Yinzhu Cheng
Summary of Spatial-temporal-demand Clustering For Solving Large-scale Vehicle Routing Problems with Time Windows, by Christoph Kerscher and Stefan Minner
Summary of Introducing Petrirl: An Innovative Framework For Jssp Resolution Integrating Petri Nets and Event-based Reinforcement Learning, by Sofiene Lassoued et al.
Summary of Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs, by Christoph Wehner et al.
Summary of Are We Wasting Time? a Fast, Accurate Performance Evaluation Framework For Knowledge Graph Link Predictors, by Filip Cornell et al.
Summary of Fengwu-ghr: Learning the Kilometer-scale Medium-range Global Weather Forecasting, by Tao Han and Song Guo and Fenghua Ling and Kang Chen and Junchao Gong and Jingjia Luo and Junxia Gu and Kan Dai and Wanli Ouyang and Lei Bai
Summary of Trackgpt — a Generative Pre-trained Transformer For Cross-domain Entity Trajectory Forecasting, by Nicholas Stroh
Summary of Adapting Amidst Degradation: Cross Domain Li-ion Battery Health Estimation Via Physics-guided Test-time Training, by Yuyuan Feng et al.
Summary of Unraveling the Impact Of Initial Choices and In-loop Interventions on Learning Dynamics in Autonomous Scanning Probe Microscopy, by Boris N. Slautin et al.
Summary of Explainable Ai For Survival Analysis: a Median-shap Approach, by Lucile Ter-minassian et al.
Summary of Epsd: Early Pruning with Self-distillation For Efficient Model Compression, by Dong Chen et al.
Summary of Scheduled Curiosity-deep Dyna-q: Efficient Exploration For Dialog Policy Learning, by Xuecheng Niu et al.
Summary of Retrosynthesis Prediction Enhanced by In-silico Reaction Data Augmentation, By Xu Zhang and Yiming Mo and Wenguan Wang and Yi Yang
Summary of Comparing Template-based and Template-free Language Model Probing, by Sagi Shaier et al.
Summary of Multimodal Neurodegenerative Disease Subtyping Explained by Chatgpt, By Diego Machado Reyes et al.
Summary of Episodic-free Task Selection For Few-shot Learning, by Tao Zhang
Summary of Deeper or Wider: a Perspective From Optimal Generalization Error with Sobolev Loss, by Yahong Yang and Juncai He
Summary of Behind the Myth Of Exploration in Policy Gradients, by Adrien Bolland et al.
Summary of Fully Data-driven Model For Increasing Sampling Rate Frequency Of Seismic Data Using Super-resolution Generative Adversarial Networks, by Navid Gholizadeh and Javad Katebi
Summary of Convolution Meets Lora: Parameter Efficient Finetuning For Segment Anything Model, by Zihan Zhong et al.
Summary of Efficient Subseasonal Weather Forecast Using Teleconnection-informed Transformers, by Shan Zhao et al.
Summary of Locost: State-space Models For Long Document Abstractive Summarization, by Florian Le Bronnec et al.
Summary of Convergence Analysis For General Probability Flow Odes Of Diffusion Models in Wasserstein Distances, by Xuefeng Gao et al.
Summary of Melnet: a Real-time Deep Learning Algorithm For Object Detection, by Yashar Azadvatan and Murat Kurt
Summary of Understanding Polysemanticity in Neural Networks Through Coding Theory, by Simon C. Marshall and Jan H. Kirchner
Summary of Multilinear Operator Networks, by Yixin Cheng et al.
Summary of Causal Coordinated Concurrent Reinforcement Learning, by Tim Tse et al.
Summary of Causal Discovery by Kernel Deviance Measures with Heterogeneous Transforms, By Tim Tse et al.
Summary of Optimizing Contrastive Learning For Cortical Folding Pattern Detection, by Aymeric Gaudin (1) et al.
Summary of On Prompt-driven Safeguarding For Large Language Models, by Chujie Zheng et al.
Summary of Benchmarking Sensitivity Of Continual Graph Learning For Skeleton-based Action Recognition, by Wei Wei et al.
Summary of Epidemic Modeling Using Hybrid Of Time-varying Sird, Particle Swarm Optimization, and Deep Learning, by Naresh Kumar et al.
Summary of Rank Supervised Contrastive Learning For Time Series Classification, by Qianying Ren et al.
Summary of Longalign: a Recipe For Long Context Alignment Of Large Language Models, by Yushi Bai et al.
Summary of Raptor: Recursive Abstractive Processing For Tree-organized Retrieval, by Parth Sarthi et al.
Summary of Do Language Models Exhibit the Same Cognitive Biases in Problem Solving As Human Learners?, by Andreas Opedal et al.
Summary of Kvquant: Towards 10 Million Context Length Llm Inference with Kv Cache Quantization, by Coleman Hooper et al.
Summary of An Integrated Framework For Team Formation and Winner Prediction in the First Robotics Competition: Model, Algorithm, and Analysis, by Federico Galbiati et al.
Summary of Using Multi-temporal Sentinel-1 and Sentinel-2 Data For Water Bodies Mapping, by Luigi Russo et al.
Summary of Igcn: Integrative Graph Convolution Networks For Patient Level Insights and Biomarker Discovery in Multi-omics Integration, by Cagri Ozdemir et al.
Summary of Graph Multi-similarity Learning For Molecular Property Prediction, by Hao Xu et al.
Summary of A Primer on Synthetic Health Data, by Jennifer a Bartell et al.
Summary of Spatial-and-frequency-aware Restoration Method For Images Based on Diffusion Models, by Kyungsung Lee et al.
Summary of An Attempt to Generate New Bridge Types From Latent Space Of Energy-based Model, by Hongjun Zhang
Summary of Convergence Analysis Of T-sne As a Gradient Flow For Point Cloud on a Manifold, by Seonghyeon Jeong et al.
Summary of Predicting Suicidal Behavior Among Indian Adults Using Childhood Trauma, Mental Health Questionnaires and Machine Learning Cascade Ensembles, by Akash K Rao et al.
Summary of Pf-gnn: Differentiable Particle Filtering Based Approximation Of Universal Graph Representations, by Mohammed Haroon Dupty et al.
Summary of Algorithmic Robust Forecast Aggregation, by Yongkang Guo et al.
Summary of Regularized Linear Discriminant Analysis Using a Nonlinear Covariance Matrix Estimator, by Maaz Mahadi et al.
Summary of A Policy Gradient Primal-dual Algorithm For Constrained Mdps with Uniform Pac Guarantees, by Toshinori Kitamura et al.
Summary of Robustly Overfitting Latents For Flexible Neural Image Compression, by Yura Perugachi-diaz et al.
Summary of Radin: Souping on a Budget, by Thibaut Menes and Olivier Risser-maroix
Summary of Graph Transformers Without Positional Encodings, by Ayush Garg
Summary of Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning, by Haozhi Gao et al.
Summary of Swea: Updating Factual Knowledge in Large Language Models Via Subject Word Embedding Altering, by Xiaopeng Li et al.
Summary of Privacy-preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent, by Konstantin Donhauser and Javier Abad and Neha Hulkund and Fanny Yang
Summary of Simplifying Latent Dynamics with Softly State-invariant World Models, by Tankred Saanum et al.
Summary of A Cross-view Hierarchical Graph Learning Hypernetwork For Skill Demand-supply Joint Prediction, by Wenshuo Chao et al.
Summary of Manipulating Predictions Over Discrete Inputs in Machine Teaching, by Xiaodong Wu et al.
Summary of Step-size Optimization For Continual Learning, by Thomas Degris et al.
Summary of Solving Boltzmann Optimization Problems with Deep Learning, by Fiona Knoll et al.
Summary of Through-wall Imaging Based on Wifi Channel State Information, by Julian Strohmayer et al.
Summary of Can Llms Replace Economic Choice Prediction Labs? the Case Of Language-based Persuasion Games, by Eilam Shapira et al.
Summary of Superiority Of Multi-head Attention in In-context Linear Regression, by Yingqian Cui et al.
Summary of Liquid Democracy For Low-cost Ensemble Pruning, by Ben Armstrong et al.
Summary of Rendering Wireless Environments Useful For Gradient Estimators: a Zero-order Stochastic Federated Learning Method, by Elissa Mhanna and Mohamad Assaad
Summary of Detecting Mental Disorder on Social Media: a Chatgpt-augmented Explainable Approach, by Loris Belcastro et al.
Summary of Camu: Disentangling Causal Effects in Deep Model Unlearning, by Shaofei Shen et al.
Summary of Arrows Of Time For Large Language Models, by Vassilis Papadopoulos et al.
Summary of Game-theoretic Unlearnable Example Generator, by Shuang Liu and Yihan Wang and Xiao-shan Gao
Summary of Towards Understanding Variants Of Invariant Risk Minimization Through the Lens Of Calibration, by Kotaro Yoshida et al.
Summary of Enhancing Score-based Sampling Methods with Ensembles, by Tobias Bischoff et al.
Summary of A Medical Data-effective Learning Benchmark For Highly Efficient Pre-training Of Foundation Models, by Wenxuan Yang et al.
Summary of Trainable Fixed-point Quantization For Deep Learning Acceleration on Fpgas, by Dingyi Dai et al.
Summary of Tensor-based Process Control and Monitoring For Semiconductor Manufacturing with Unstable Disturbances, by Yanrong Li et al.
Summary of Rethinking Channel Dependence For Multivariate Time Series Forecasting: Learning From Leading Indicators, by Lifan Zhao et al.