Paper List

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Summary of Online Analytic Exemplar-free Continual Learning with Large Models For Imbalanced Autonomous Driving Task, by Huiping Zhuang et al.
Summary of The Binary Quantized Neural Network For Dense Prediction Via Specially Designed Upsampling and Attention, by Xingyu Ding and Lianlei Shan and Guiqin Zhao and Meiqi Wu and Wenzhang Zhou and Wei Li
Summary of Post-fair Federated Learning: Achieving Group and Community Fairness in Federated Learning Via Post-processing, by Yuying Duan et al.
Summary of Adaptive Horizon Actor-critic For Policy Learning in Contact-rich Differentiable Simulation, by Ignat Georgiev et al.
Summary of Understanding Forgetting in Continual Learning with Linear Regression, by Meng Ding et al.
Summary of Building a Temperature Forecasting Model For the City with the Regression Neural Network (rnn), by Nguyen Phuc Tran et al.
Summary of Jointly Modeling Inter- & Intra-modality Dependencies For Multi-modal Learning, by Divyam Madaan et al.
Summary of Matrix Low-rank Trust Region Policy Optimization, by Sergio Rozada and Antonio G. Marques
Summary of Symmetric Reinforcement Learning Loss For Robust Learning on Diverse Tasks and Model Scales, by Ju-seung Byun et al.
Summary of Matrix Low-rank Approximation For Policy Gradient Methods, by Sergio Rozada and Antonio G. Marques
Summary of Salutary Labeling with Zero Human Annotation, by Wenxiao Xiao et al.
Summary of Tensor Low-rank Approximation Of Finite-horizon Value Functions, by Sergio Rozada and Antonio G. Marques
Summary of The Surprising Efficiency Of Temporal Difference Learning For Rare Event Prediction, by Xiaoou Cheng et al.
Summary of Probabilistically Plausible Counterfactual Explanations with Normalizing Flows, by Patryk Wielopolski et al.
Summary of Inversionview: a General-purpose Method For Reading Information From Neural Activations, by Xinting Huang et al.
Summary of Alignment Is Key For Applying Diffusion Models to Retrosynthesis, by Najwa Laabid et al.
Summary of Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels, by Patryk Wielopolski et al.
Summary of Finding Shared Decodable Concepts and Their Negations in the Brain, by Cory Efird et al.
Summary of Structured Partial Stochasticity in Bayesian Neural Networks, by Tommy Rochussen
Summary of Exploring Loss Design Techniques For Decision Tree Robustness to Label Noise, by Lukasz Sztukiewicz et al.
Summary of Fast Samplers For Inverse Problems in Iterative Refinement Models, by Kushagra Pandey et al.
Summary of Ontology-enhanced Decision-making For Autonomous Agents in Dynamic and Partially Observable Environments, by Saeedeh Ghanadbashi et al.
Summary of Tamed Langevin Sampling Under Weaker Conditions, by Iosif Lytras and Panayotis Mertikopoulos
Summary of Physics-guided Full Waveform Inversion Using Encoder-solver Convolutional Neural Networks, by Matan Goren and Eran Treister
Summary of Predicting Rental Price Of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models, by Tingting Chen and Shijing Si
Summary of Enhancing Sustainable Urban Mobility Prediction with Telecom Data: a Spatio-temporal Framework Approach, by Chungyi Lin et al.
Summary of Beyond Random Missingness: Clinically Rethinking For Healthcare Time Series Imputation, by Linglong Qian et al.
Summary of Reference Neural Operators: Learning the Smooth Dependence Of Solutions Of Pdes on Geometric Deformations, by Ze Cheng et al.
Summary of On Fairness Of Low-rank Adaptation Of Large Models, by Zhoujie Ding and Ken Ziyu Liu and Pura Peetathawatchai and Berivan Isik and Sanmi Koyejo
Summary of Wash: Train Your Ensemble with Communication-efficient Weight Shuffling, Then Average, by Louis Fournier (mlia) et al.
Summary of Efficient Model Compression For Hierarchical Federated Learning, by Xi Zhu et al.
Summary of Locally Testing Model Detections For Semantic Global Concepts, by Franz Motzkus et al.
Summary of Smoothgnn: Smoothing-aware Gnn For Unsupervised Node Anomaly Detection, by Xiangyu Dong et al.
Summary of Unisolver: Pde-conditional Transformers Are Universal Pde Solvers, by Hang Zhou et al.
Summary of Clip Body and Tail Separately: High Probability Guarantees For Dpsgd with Heavy Tails, by Haichao Sha and Yang Cao and Yong Liu and Yuncheng Wu and Ruixuan Liu and Hong Chen
Summary of Pae: Llm-based Product Attribute Extraction For E-commerce Fashion Trends, by Apurva Sinha and Ekta Gujral
Summary of Smr: State Memory Replay For Long Sequence Modeling, by Biqing Qi et al.
Summary of Calibrated Dataset Condensation For Faster Hyperparameter Search, by Mucong Ding et al.
Summary of Towards Human-ai Complementarity with Prediction Sets, by Giovanni De Toni et al.
Summary of Probabilistic Verification Of Neural Networks Using Branch and Bound, by David Boetius et al.
Summary of Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese, by Marcelo Matheus Gauy et al.
Summary of Hamiltonian Mechanics Of Feature Learning: Bottleneck Structure in Leaky Resnets, by Arthur Jacot et al.
Summary of Interpretable Prognostics with Concept Bottleneck Models, by Florent Forest et al.
Summary of Mixed Dynamics in Linear Networks: Unifying the Lazy and Active Regimes, by Zhenfeng Tu et al.
Summary of Repeat-aware Neighbor Sampling For Dynamic Graph Learning, by Tao Zou et al.
Summary of Federated Offline Policy Optimization with Dual Regularization, by Sheng Yue et al.
Summary of How Culturally Aware Are Vision-language Models?, by Olena Burda-lassen et al.
Summary of How to Leverage Diverse Demonstrations in Offline Imitation Learning, by Sheng Yue et al.
Summary of Ollie: Imitation Learning From Offline Pretraining to Online Finetuning, by Sheng Yue et al.
Summary of A Rationale From Frequency Perspective For Grokking in Training Neural Network, by Zhangchen Zhou et al.
Summary of Rose: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning, by Yihang Wang et al.
Summary of Improving Simulation Regression Efficiency Using a Machine Learning-based Method in Design Verification, by Deepak Narayan Gadde et al.
Summary of Comet: a Communication-efficient and Performant Approximation For Private Transformer Inference, by Xiangrui Xu et al.
Summary of Bridging the Gap Between Low-rank and Orthogonal Adaptation Via Householder Reflection Adaptation, by Shen Yuan et al.
Summary of Pattern-based Time-series Risk Scoring For Anomaly Detection and Alert Filtering — a Predictive Maintenance Case Study, by Elad Liebman
Summary of On the Inflation Of Knn-shapley Value, by Ziao Yang et al.
Summary of Revisit, Extend, and Enhance Hessian-free Influence Functions, by Ziao Yang et al.
Summary of Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation For Fault Diagnosis, By Ziyan Wang et al.
Summary of Transitional Uncertainty with Layered Intermediate Predictions, by Ryan Benkert et al.
Summary of Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection, by M. Saeid Haghighifard et al.
Summary of Vertical Federated Learning For Effectiveness, Security, Applicability: a Survey, by Mang Ye et al.
Summary of Geometry Of Critical Sets and Existence Of Saddle Branches For Two-layer Neural Networks, by Leyang Zhang et al.
Summary of Subspace Node Pruning, by Joshua Offergeld et al.
Summary of Exploring Nutritional Impact on Alzheimer’s Mortality: An Explainable Ai Approach, by Ziming Liu et al.
Summary of How to Train Your Vit For Ood Detection, by Maximilian Mueller and Matthias Hein
Summary of Image Based Character Recognition, Documentation System to Decode Inscription From Temple, by Velmathi G et al.
Summary of The Power Of Next-frame Prediction For Learning Physical Laws, by Thomas Winterbottom et al.
Summary of Weatherformer: a Pretrained Encoder Model For Learning Robust Weather Representations From Small Datasets, by Adib Hasan and Mardavij Roozbehani and Munther Dahleh
Summary of Optimal Compressed Sensing For Image Reconstruction with Diffusion Probabilistic Models, by Ling-qi Zhang et al.
Summary of Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks, by Jingchi Jiang et al.
Summary of Data-free Federated Class Incremental Learning with Diffusion-based Generative Memory, by Naibo Wang et al.
Summary of Integrating Medical Imaging and Clinical Reports Using Multimodal Deep Learning For Advanced Disease Analysis, by Ziyan Yao et al.
Summary of Ferrari: Federated Feature Unlearning Via Optimizing Feature Sensitivity, by Hanlin Gu et al.
Summary of Investigation Of Customized Medical Decision Algorithms Utilizing Graph Neural Networks, by Yafeng Yan et al.
Summary of Emr-merging: Tuning-free High-performance Model Merging, by Chenyu Huang et al.
Summary of Data Valuation by Leveraging Global and Local Statistical Information, By Xiaoling Zhou and Ou Wu and Michael K. Ng and Hao Jiang
Summary of Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions, by Aashu Katharria et al.
Summary of Sports Center Customer Segmentation: a Case Study, by Juan Soto et al.
Summary of Distributed Continual Learning, by Long Le et al.
Summary of Deep Activity Model: a Generative Approach For Human Mobility Pattern Synthesis, by Xishun Liao et al.
Summary of A Dataset For Research on Water Sustainability, by Pranjol Sen Gupta et al.
Summary of Momentum-based Federated Reinforcement Learning with Interaction and Communication Efficiency, by Sheng Yue et al.
Summary of Freezeasguard: Mitigating Illegal Adaptation Of Diffusion Models Via Selective Tensor Freezing, by Kai Huang et al.
Summary of Athena: Efficient Block-wise Post-training Quantization For Large Language Models Using Second-order Matrix Derivative Information, by Yanshu Wang et al.
Summary of How Do the Architecture and Optimizer Affect Representation Learning? on the Training Dynamics Of Representations in Deep Neural Networks, by Yuval Sharon and Yehuda Dar
Summary of Rtl-repo: a Benchmark For Evaluating Llms on Large-scale Rtl Design Projects, by Ahmed Allam et al.
Summary of Remodetect: Reward Models Recognize Aligned Llm’s Generations, by Hyunseok Lee et al.
Summary of Dataset-learning Duality and Emergent Criticality, by Ekaterina Kukleva and Vitaly Vanchurin
Summary of The Expressive Capacity Of State Space Models: a Formal Language Perspective, by Yash Sarrof et al.
Summary of Transformers Can Do Arithmetic with the Right Embeddings, by Sean Mcleish et al.
Summary of Rb-modulation: Training-free Personalization Of Diffusion Models Using Stochastic Optimal Control, by Litu Rout et al.
Summary of A Closer Look at Time Steps Is Worthy Of Triple Speed-up For Diffusion Model Training, by Kai Wang et al.
Summary of Spectral Greedy Coresets For Graph Neural Networks, by Mucong Ding et al.
Summary of Towards One Model For Classical Dimensionality Reduction: a Probabilistic Perspective on Umap and T-sne, by Aditya Ravuri et al.
Summary of A Recipe For Unbounded Data Augmentation in Visual Reinforcement Learning, by Abdulaziz Almuzairee et al.
Summary of Multiood: Scaling Out-of-distribution Detection For Multiple Modalities, by Hao Dong et al.
Summary of Survival Of the Fittest Representation: a Case Study with Modular Addition, by Xiaoman Delores Ding et al.
Summary of Hardness-aware Scene Synthesis For Semi-supervised 3d Object Detection, by Shuai Zeng et al.
Summary of From Neurons to Neutrons: a Case Study in Interpretability, by Ouail Kitouni et al.
Summary of Nv-embed: Improved Techniques For Training Llms As Generalist Embedding Models, by Chankyu Lee et al.