Paper List

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

Summary of A Unified Framework For Entropy Search and Expected Improvement in Bayesian Optimization, by Nuojin Cheng et al.
Summary of Convolutional Two-stream Network Fusion For Video Action Recognition, by Christoph Feichtenhofer et al.
Summary of Learning Disentangled Representation For Robust Person Re-identification, by Chanho Eom et al.
Summary of Attention Is All You Need, by Ashish Vaswani et al.
Summary of Event Prediction in the Big Data Era: a Systematic Survey, by Liang Zhao
Summary of On the Semantics Of Abstract Argumentation Frameworks: a Logic Programming Approach, by Gianvincenzo Alfano et al.
Summary of Monocular Expressive Body Regression Through Body-driven Attention, by Vasileios Choutas et al.
Summary of Robust Matrix Completion For Discrete Rating-scale Data, by Aurore Archimbaud et al.
Summary of Frequency-masked Embedding Inference: a Non-contrastive Approach For Time Series Representation Learning, by En Fu et al.
Summary of Timeraf: Retrieval-augmented Foundation Model For Zero-shot Time Series Forecasting, by Huanyu Zhang et al.
Summary of Isoperimetry Is All We Need: Langevin Posterior Sampling For Rl with Sublinear Regret, by Emilio Jorge et al.
Summary of Dual-space Augmented Intrinsic-lora For Wind Turbine Segmentation, by Shubh Singhal et al.
Summary of Enhancing Annotated Bibliography Generation with Llm Ensembles, by Sergio Bermejo
Summary of Rethinking Aleatoric and Epistemic Uncertainty, by Freddie Bickford Smith et al.
Summary of Dota: Weight-decomposed Tensor Adaptation For Large Language Models, by Xiaolin Hu et al.
Summary of Towards Compatible Fine-tuning For Vision-language Model Updates, by Zhengbo Wang et al.
Summary of Uncertainty-aware Out-of-distribution Detection with Gaussian Processes, by Yang Chen et al.
Summary of Ddim Sampling For Generative Aibim, a Faster Intelligent Structural Design Framework, by Zhili He et al.
Summary of Generalizing in Net-zero Microgrids: a Study with Federated Ppo and Trpo, by Nicolas M Cuadrado Avila et al.
Summary of Conservation-informed Graph Learning For Spatiotemporal Dynamics Prediction, by Yuan Mi et al.
Summary of Alignab: Pareto-optimal Energy Alignment For Designing Nature-like Antibodies, by Yibo Wen et al.
Summary of Robustblack: Challenging Black-box Adversarial Attacks on State-of-the-art Defenses, by Mohamed Djilani et al.
Summary of Verified Lifting Of Deep Learning Operators, by Qi Zhan et al.
Summary of Lease: Offline Preference-based Reinforcement Learning with High Sample Efficiency, by Xiao-yin Liu et al.
Summary of Efficiently Serving Llm Reasoning Programs with Certaindex, by Yichao Fu et al.
Summary of Weber-fechner Law in Temporal Difference Learning Derived From Control As Inference, by Keiichiro Takahashi et al.
Summary of Text Classification: Neural Networks Vs Machine Learning Models Vs Pre-trained Models, by Christos Petridis
Summary of Hilbert Curve Based Molecular Sequence Analysis, by Sarwan Ali et al.
Summary of Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and K-mer Strategy, by Sarwan Ali et al.
Summary of Audiopedia: Audio Qa with Knowledge, by Abhirama Subramanyam Penamakuri et al.
Summary of Matrix Concentration For Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model, by Sawyer Jack Robertson
Summary of Predicting Long Term Sequential Policy Value Using Softer Surrogates, by Hyunji Nam et al.
Summary of Netflowgen: Leveraging Generative Pre-training For Network Traffic Dynamics, by Jiawei Zhou et al.
Summary of Safesynthdp: Leveraging Large Language Models For Privacy-preserving Synthetic Data Generation Using Differential Privacy, by Md Mahadi Hasan Nahid et al.
Summary of Overcoming Class Imbalance: Unified Gnn Learning with Structural and Semantic Connectivity Representations, by Abdullah Alchihabi et al.
Summary of Uncertainty Herding: One Active Learning Method For All Label Budgets, by Wonho Bae et al.
Summary of Prototypical Distillation and Debiased Tuning For Black-box Unsupervised Domain Adaptation, by Jian Liang and Lijun Sheng and Hongmin Liu and Ran He
Summary of Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives, by Calder Katyal
Summary of Attention-driven Metapath Encoding in Heterogeneous Graphs, by Calder Katyal
Summary of Learning to Rank Pre-trained Vision-language Models For Downstream Tasks, by Yuhe Ding et al.
Summary of Hfi: a Unified Framework For Training-free Detection and Implicit Watermarking Of Latent Diffusion Model Generated Images, by Sungik Choi et al.
Summary of Training Deep Neural Classifiers with Soft Diamond Regularizers, by Olaoluwa Adigun and Bart Kosko
Summary of Averagelinear: Enhance Long-term Time Series Forecasting with Simple Averaging, by Gaoxiang Zhao et al.
Summary of Joint Scoring Rules: Zero-sum Competition Avoids Performative Prediction, by Rubi Hudson
Summary of Advancing Parkinson’s Disease Progression Prediction: Comparing Long Short-term Memory Networks and Kolmogorov-arnold Networks, by Abhinav Roy et al.
Summary of Solar Filaments Detection Using Active Contours Without Edges, by Sanmoy Bandyopadhyay et al.
Summary of Accelerating Energy-efficient Federated Learning in Cell-free Networks with Adaptive Quantization, by Afsaneh Mahmoudi et al.
Summary of Safe Bayesian Optimization For the Control Of High-dimensional Embodied Systems, by Yunyue Wei et al.
Summary of Fairdiffusion: Enhancing Equity in Latent Diffusion Models Via Fair Bayesian Perturbation, by Yan Luo et al.
Summary of Scalable Bayesian Optimization Via Focalized Sparse Gaussian Processes, by Yunyue Wei et al.
Summary of Impact Of Data Distribution on Fairness Guarantees in Equitable Deep Learning, by Yan Luo et al.
Summary of Multi-objective Large Language Model Unlearning, by Zibin Pan et al.
Summary of Ptq4vm: Post-training Quantization For Visual Mamba, by Younghyun Cho et al.
Summary of Treatment Effect Estimation For Graph-structured Targets, by Shonosuke Harada et al.
Summary of Multimodal Variational Autoencoder: a Barycentric View, by Peijie Qiu et al.
Summary of Planning, Living and Judging: a Multi-agent Llm-based Framework For Cyclical Urban Planning, by Hang Ni et al.
Summary of Stratify: Unifying Multi-step Forecasting Strategies, by Riku Green et al.
Summary of Dive Into Time-series Anomaly Detection: a Decade Review, by Paul Boniol et al.
Summary of Diminishing Return Of Value Expansion Methods, by Daniel Palenicek et al.
Summary of Goal-conditioned Data Augmentation For Offline Reinforcement Learning, by Xingshuai Huang et al.
Summary of Edge Of Stochastic Stability: Revisiting the Edge Of Stability For Sgd, by Arseniy Andreyev and Pierfrancesco Beneventano
Summary of Distributionally Robust Optimization Via Iterative Algorithms in Continuous Probability Spaces, by Linglingzhi Zhu et al.
Summary of The Intrinsic Motivation Of Reinforcement and Imitation Learning For Sequential Tasks, by Sao Mai Nguyen
Summary of Bridging the Gap: a Decade Review Of Time-series Clustering Methods, by John Paparrizos et al.
Summary of Matey: Multiscale Adaptive Foundation Models For Spatiotemporal Physical Systems, by Pei Zhang and M. Paul Laiu and Matthew Norman and Doug Stefanski and John Gounley
Summary of Testing and Improving the Robustness Of Amortized Bayesian Inference For Cognitive Models, by Yufei Wu et al.
Summary of Kryptonite-n: Machine Learning Strikes Back, by Albus Li et al.
Summary of Accurate Coresets For Latent Variable Models and Regularized Regression, by Sanskar Ranjan and Supratim Shit
Summary of Lower Bounds on Transformers with Infinite Precision, by Alexander Kozachinskiy
Summary of Federated Unlearning with Gradient Descent and Conflict Mitigation, by Zibin Pan et al.
Summary of Towards Real-time 2d Mapping: Harnessing Drones, Ai, and Computer Vision For Advanced Insights, by Bharath Kumar Agnur
Summary of Imssa: Deploying Modern State-space Models on Memristive In-memory Compute Hardware, by Sebastian Siegel et al.
Summary of Sequence Generation Modeling For Continuous Value Prediction, by Hongxu Ma et al.
Summary of Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation, by Muhammad Irfan Khan et al.
Summary of Election Of Collaborators Via Reinforcement Learning For Federated Brain Tumor Segmentation, by Muhammad Irfan Khan et al.
Summary of Telu Activation Function For Fast and Stable Deep Learning, by Alfredo Fernandez and Ankur Mali
Summary of Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions After 10,000 Gpu Hours, by Yuxin Yang et al.
Summary of Causal Discovery on Dependent Binary Data, by Alex Chen et al.
Summary of Transformer-based Contrastive Meta-learning For Low-resource Generalizable Activity Recognition, by Junyao Wang et al.
Summary of An Analytic Theory Of Creativity in Convolutional Diffusion Models, by Mason Kamb et al.
Summary of An Experimental Study on Fairness-aware Machine Learning For Credit Scoring Problem, by Huyen Giang Thi Thu et al.
Summary of Exadam: the Power Of Adaptive Cross-moments, by Ahmed M. Adly
Summary of Protein Structure Prediction in the 3d Hp Model Using Deep Reinforcement Learning, by Giovanny Espitia et al.
Summary of Asynchronous Federated Clustering with Unknown Number Of Clusters, by Yunfan Zhang et al.
Summary of Deep Learning in Image Classification: Evaluating Vgg19’s Performance on Complex Visual Data, by Weijie He et al.
Summary of Confidence Interval Construction and Conditional Variance Estimation with Dense Relu Networks, by Carlos Misael Madrid Padilla et al.
Summary of A Deep Subgrouping Framework For Precision Drug Repurposing Via Emulating Clinical Trials on Real-world Patient Data, by Seungyeon Lee et al.
Summary of Explainable Semantic Federated Learning Enabled Industrial Edge Network For Fire Surveillance, by Li Dong et al.
Summary of Mobilenetv2: a Lightweight Classification Model For Home-based Sleep Apnea Screening, by Hui Pan et al.
Summary of The Fifth International Verification Of Neural Networks Competition (vnn-comp 2024): Summary and Results, by Christopher Brix et al.
Summary of Delayed Random Partial Gradient Averaging For Federated Learning, by Xinyi Hu
Summary of Caesar: a Low-deviation Compression Approach For Efficient Federated Learning, by Jiaming Yan et al.
Summary of A Robust Federated Learning Framework For Undependable Devices at Scale, by Shilong Wang et al.
Summary of Discrete Curvature Graph Information Bottleneck, by Xingcheng Fu et al.
Summary of Oneke: a Dockerized Schema-guided Llm Agent-based Knowledge Extraction System, by Yujie Luo et al.
Summary of Adversarial Robustness For Deep Learning-based Wildfire Prediction Models, by Ryo Ide et al.
Summary of A Greedy Strategy For Graph Cut, by Feiping Nie et al.
Summary of Protclip: Function-informed Protein Multi-modal Learning, by Hanjing Zhou et al.
Summary of A Nearly Optimal Single Loop Algorithm For Stochastic Bilevel Optimization Under Unbounded Smoothness, by Xiaochuan Gong et al.
Summary of Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-supervised Learning, by Sijia Chen et al.