Paper List

We recommend you use the search box as this list is very long.

Summary of Model Order Reduction Of Deep Structured State-space Models: a System-theoretic Approach, by Marco Forgione et al.
Summary of Vidla: Video-language Alignment at Scale, by Mamshad Nayeem Rizve et al.
Summary of Local Causal Discovery with Linear Non-gaussian Cyclic Models, by Haoyue Dai et al.
Summary of A Survey on Concept-based Approaches For Model Improvement, by Avani Gupta et al.
Summary of Rambla: a Framework For Evaluating the Reliability Of Llms As Assistants in the Biomedical Domain, by William James Bolton et al.
Summary of An Analysis Of Linear Time Series Forecasting Models, by William Toner et al.
Summary of React Meets Actre: When Language Agents Enjoy Training Data Autonomy, by Zonghan Yang et al.
Summary of Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof, by Yangchun Zhang et al.
Summary of Renoise: Real Image Inversion Through Iterative Noising, by Daniel Garibi et al.
Summary of The Elements Of Differentiable Programming, by Mathieu Blondel et al.
Summary of Parameter-efficient Fine-tuning For Large Models: a Comprehensive Survey, by Zeyu Han et al.
Summary of Dreamreward: Text-to-3d Generation with Human Preference, by Junliang Ye et al.
Summary of Mathverse: Does Your Multi-modal Llm Truly See the Diagrams in Visual Math Problems?, by Renrui Zhang et al.
Summary of Videoshop: Localized Semantic Video Editing with Noise-extrapolated Diffusion Inversion, by Xiang Fan et al.
Summary of Towards a Framework For Deep Learning Certification in Safety-critical Applications Using Inherently Safe Design and Run-time Error Detection, by Romeo Valentin
Summary of Continual Learning by Three-phase Consolidation, By Davide Maltoni et al.
Summary of Deep Generative Domain Adaptation with Temporal Relation Knowledge For Cross-user Activity Recognition, by Xiaozhou Ye et al.
Summary of Focil: Finetune-and-freeze For Online Class Incremental Learning by Training Randomly Pruned Sparse Experts, By Murat Onur Yildirim et al.
Summary of Cyclical Log Annealing As a Learning Rate Scheduler, by Philip Naveen
Summary of On the Performance Of Imputation Techniques For Missing Values on Healthcare Datasets, by Luke Oluwaseye Joel and Wesley Doorsamy and Babu Sena Paul
Summary of Kernel Alignment For Unsupervised Feature Selection Via Matrix Factorization, by Ziyuan Lin and Deanna Needell
Summary of Auditing Fairness Under Unobserved Confounding, by Yewon Byun et al.
Summary of Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It, by Guoxuan Xia et al.
Summary of Tensor Network Compressibility Of Convolutional Models, by Sukhbinder Singh et al.
Summary of Estimating Causal Effects with Double Machine Learning — a Method Evaluation, by Jonathan Fuhr et al.
Summary of A Bag Of Tricks For Few-shot Class-incremental Learning, by Shuvendu Roy et al.
Summary of Regularized Adaptive Momentum Dual Averaging with An Efficient Inexact Subproblem Solver For Training Structured Neural Network, by Zih-syuan Huang et al.
Summary of Physics-informed Diffusion Models, by Jan-hendrik Bastek et al.
Summary of Glc++: Source-free Universal Domain Adaptation Through Global-local Clustering and Contrastive Affinity Learning, by Sanqing Qu et al.
Summary of A Multimodal Approach to Device-directed Speech Detection with Large Language Models, by Dominik Wagner et al.
Summary of Dp-rdm: Adapting Diffusion Models to Private Domains Without Fine-tuning, by Jonathan Lebensold et al.
Summary of Language Models Can Reduce Asymmetry in Information Markets, by Nasim Rahaman et al.
Summary of Task-optimal Data-driven Surrogate Models For Enmpc Via Differentiable Simulation and Optimization, by Daniel Mayfrank et al.
Summary of Gtbls: Generating Tables From Text by Conditional Question Answering, By Anirudh Sundar et al.
Summary of Universal Feature Selection For Simultaneous Interpretability Of Multitask Datasets, by Matt Raymond et al.
Summary of Utilizing the Lightgbm Algorithm For Operator User Credit Assessment Research, by Shaojie Li et al.
Summary of Detoxifying Large Language Models Via Knowledge Editing, by Mengru Wang et al.
Summary of Soft Learning Probabilistic Circuits, by Soroush Ghandi et al.
Summary of Hypergale: Asd Classification Via Hypergraph Gated Attention with Learnable Hyperedges, by Mehul Arora et al.
Summary of Constrained Reinforcement Learning with Smoothed Log Barrier Function, by Baohe Zhang et al.
Summary of Robust 3d Shape Reconstruction in Zero-shot From a Single Image in the Wild, by Junhyeong Cho et al.
Summary of Estimating Physical Information Consistency Of Channel Data Augmentation For Remote Sensing Images, by Tom Burgert et al.
Summary of Lexicon-level Contrastive Visual-grounding Improves Language Modeling, by Chengxu Zhuang et al.
Summary of Efficient Video Diffusion Models Via Content-frame Motion-latent Decomposition, by Sihyun Yu et al.
Summary of Policy Mirror Descent with Lookahead, by Kimon Protopapas et al.
Summary of Posterior Concentrations Of Fully-connected Bayesian Neural Networks with General Priors on the Weights, by Insung Kong and Yongdai Kim
Summary of Otseg: Multi-prompt Sinkhorn Attention For Zero-shot Semantic Segmentation, by Kwanyoung Kim et al.
Summary of Recovering Latent Confounders From High-dimensional Proxy Variables, by Nathan Mankovich et al.
Summary of Contrastive Balancing Representation Learning For Heterogeneous Dose-response Curves Estimation, by Minqin Zhu et al.
Summary of Softpatch: Unsupervised Anomaly Detection with Noisy Data, by Xi Jiang et al.
Summary of A Unified Framework For Model Editing, by Akshat Gupta et al.
Summary of Layoutllm: Large Language Model Instruction Tuning For Visually Rich Document Understanding, by Masato Fujitake
Summary of Isotropic Gaussian Splatting For Real-time Radiance Field Rendering, by Yuanhao Gong et al.
Summary of Erd: a Framework For Improving Llm Reasoning For Cognitive Distortion Classification, by Sehee Lim et al.
Summary of How to Be Fair? a Study Of Label and Selection Bias, by Marco Favier et al.
Summary of Scene-graph Vit: End-to-end Open-vocabulary Visual Relationship Detection, by Tim Salzmann et al.
Summary of Impact Assessment Of Missing Data in Model Predictions For Earth Observation Applications, by Francisco Mena et al.
Summary of Investigating the Validity Of Structure Learning Algorithms in Identifying Risk Factors For Intervention in Patients with Diabetes, by Sheresh Zahoor et al.
Summary of Exploring Task Unification in Graph Representation Learning Via Generative Approach, by Yulan Hu et al.
Summary of Exploring the Potential Of Large Language Models in Graph Generation, by Yang Yao et al.
Summary of Domainlab: a Modular Python Package For Domain Generalization in Deep Learning, by Xudong Sun et al.
Summary of Varroa Destructor Detection on Honey Bees Using Hyperspectral Imagery, by Zina-sabrina Duma and Tomas Zemcik and Simon Bilik and Tuomas Sihvonen and Peter Honec and Satu-pia Reinikainen and Karel Horak
Summary of Loop Improvement: An Efficient Approach For Extracting Shared Features From Heterogeneous Data Without Central Server, by Fei Li et al.
Summary of Enhancing Fingerprint Image Synthesis with Gans, Diffusion Models, and Style Transfer Techniques, by W. Tang et al.
Summary of Reducing Large Language Model Bias with Emphasis on ‘restricted Industries’: Automated Dataset Augmentation and Prejudice Quantification, by Devam Mondal et al.
Summary of Uncertainty Driven Active Learning For Image Segmentation in Underwater Inspection, by Luiza Ribeiro Marnet et al.
Summary of Multi-modal Hallucination Control by Visual Information Grounding, By Alessandro Favero et al.
Summary of Hypothesis-driven Deep Learning For Out Of Distribution Detection, by Yasith Jayawardana et al.
Summary of Extracting Emotion Phrases From Tweets Using Bart, by Mahdi Rezapour
Summary of Diffstock: Probabilistic Relational Stock Market Predictions Using Diffusion Models, by Divyanshu Daiya et al.
Summary of Sampling Audit Evidence Using a Naive Bayes Classifier, by Guang-yih Sheu and Nai-ru Liu
Summary of Automatic Outlier Rectification Via Optimal Transport, by Jose Blanchet et al.
Summary of Carbon Footprint Reduction For Sustainable Data Centers in Real-time, by Soumyendu Sarkar et al.
Summary of Text-enhanced Data-free Approach For Federated Class-incremental Learning, by Minh-tuan Tran et al.
Summary of Dourn: Improving Douzero by Residual Neural Networks, By Yiquan Chen et al.
Summary of Heuristic Algorithm-based Action Masking Reinforcement Learning (haam-rl) with Ensemble Inference Method, by Kyuwon Choi et al.
Summary of C-tpt: Calibrated Test-time Prompt Tuning For Vision-language Models Via Text Feature Dispersion, by Hee Suk Yoon et al.
Summary of Advancing Iiot with Over-the-air Federated Learning: the Role Of Iterative Magnitude Pruning, by Fazal Muhammad Ali Khan et al.
Summary of Ai and Memory Wall, by Amir Gholami et al.
Summary of Synermix: Synergistic Mixup Solution For Enhanced Intra-class Cohesion and Inter-class Separability in Image Classification, by Ye Xu et al.
Summary of Learning Decomposable and Debiased Representations Via Attribute-centric Information Bottlenecks, by Jinyung Hong et al.
Summary of Learning Causal Graphs Using Variable Grouping According to Ancestral Relationship, by Ming Cai and Hisayuki Hara
Summary of Deep Learning For Trajectory Data Management and Mining: a Survey and Beyond, by Wei Chen et al.
Summary of Depyf: Open the Opaque Box Of Pytorch Compiler For Machine Learning Researchers, by Kaichao You et al.
Summary of Analyzing the Variations in Emergency Department Boarding and Testing the Transferability Of Forecasting Models Across Covid-19 Pandemic Waves in Hong Kong: Hybrid Cnn-lstm Approach to Quantifying Building-level Socioecological Risk, by Eman Leung (1) et al.
Summary of Integrating Wearable Sensor Data and Self-reported Diaries For Personalized Affect Forecasting, by Zhongqi Yang et al.
Summary of Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures For Brain-computer Interfaces, by Yejia Liu et al.
Summary of Machine Learning and Vision Transformers For Thyroid Carcinoma Diagnosis: a Review, by Yassine Habchi et al.
Summary of Learning to Better See the Unseen: Broad-deep Mixed Anti-forgetting Framework For Incremental Zero-shot Fault Diagnosis, by Jiancheng Zhao et al.
Summary of A Clustering Method with Graph Maximum Decoding Information, by Xinrun Xu et al.
Summary of Optimal Transport For Domain Adaptation Through Gaussian Mixture Models, by Eduardo Fernandes Montesuma et al.
Summary of Machine Learning-based Layer-wise Detection Of Overheating Anomaly in Lpbf Using Photodiode Data, by Nazmul Hasan et al.
Summary of Spatio-temporal Fluid Dynamics Modeling Via Physical-awareness and Parameter Diffusion Guidance, by Hao Wu et al.
Summary of Diffimpute: Tabular Data Imputation with Denoising Diffusion Probabilistic Model, by Yizhu Wen et al.
Summary of Optimal Transport For Fairness: Archival Data Repair Using Small Research Data Sets, by Abigail Langbridge and Anthony Quinn and Robert Shorten
Summary of Capsule Neural Networks As Noise Stabilizer For Time Series Data, by Soyeon Kim et al.
Summary of The Bid Picture: Auction-inspired Multi-player Generative Adversarial Networks Training, by Joo Yong Shim et al.
Summary of Analysing Heavy-tail Properties Of Stochastic Gradient Descent by Means Of Stochastic Recurrence Equations, By Ewa Damek and Sebastian Mentemeier
Summary of Accurately Predicting Probabilities Of Safety-critical Rare Events For Intelligent Systems, by Ruoxuan Bai et al.
Summary of Exmap: Leveraging Explainability Heatmaps For Unsupervised Group Robustness to Spurious Correlations, by Rwiddhi Chakraborty et al.