Paper List

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Summary of Learning Long-term Spatial-temporal Graphs For Active Speaker Detection, by Kyle Min et al.
Summary of Class-incremental Novel Class Discovery, by Subhankar Roy et al.
Summary of Grit: Faster and Better Image Captioning Transformer Using Dual Visual Features, by Van-quang Nguyen et al.
Summary of Towards Compatible Fine-tuning For Vision-language Model Updates, by Zhengbo Wang 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 Uncertainty-aware Out-of-distribution Detection with Gaussian Processes, by Yang Chen 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 Efficiently Serving Llm Reasoning Programs with Certaindex, by Yichao Fu et al.
Summary of Lease: Offline Preference-based Reinforcement Learning with High Sample Efficiency, by Xiao-yin Liu et al.
Summary of Weber-fechner Law in Temporal Difference Learning Derived From Control As Inference, by Keiichiro Takahashi et al.
Summary of Edgerag: Online-indexed Rag For Edge Devices, by Korakit Seemakhupt et al.
Summary of Text Classification: Neural Networks Vs Machine Learning Models Vs Pre-trained Models, by Christos Petridis
Summary of Machine Learning Optimal Ordering in Global Routing Problems in Semiconductors, by Heejin Choi et al.
Summary of Improving Location-based Thermal Emission Side-channel Analysis Using Iterative Transfer Learning, by Tun-chieh Lou et al.
Summary of Learning Epidemiological Dynamics Via the Finite Expression Method, by Jianda Du and Senwei Liang and Chunmei Wang
Summary of Towards Effective Discrimination Testing For Generative Ai, by Thomas P. Zollo et al.
Summary of Bridgepure: Revealing the Fragility Of Black-box Data Protection, by Yihan Wang et al.
Summary of Adaptive Batch Size Schedules For Distributed Training Of Language Models with Data and Model Parallelism, by Tim Tsz-kit Lau et al.
Summary of Functional Risk Minimization, by Ferran Alet 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 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 Attention-driven Metapath Encoding in Heterogeneous Graphs, by Calder Katyal
Summary of Differentiable Convex Optimization Layers in Neural Architectures: Foundations and Perspectives, 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 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 Training Deep Neural Classifiers with Soft Diamond Regularizers, by Olaoluwa Adigun and Bart Kosko
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 Advancing Parkinson’s Disease Progression Prediction: Comparing Long Short-term Memory Networks and Kolmogorov-arnold Networks, by Abhinav Roy et al.
Summary of Frequency-masked Embedding Inference: a Non-contrastive Approach For Time Series Representation Learning, by En Fu et al.
Summary of Robust Matrix Completion For Discrete Rating-scale Data, by Aurore Archimbaud et al.
Summary of Isoperimetry Is All We Need: Langevin Posterior Sampling For Rl with Sublinear Regret, by Emilio Jorge et al.
Summary of Timeraf: Retrieval-augmented Foundation Model For Zero-shot Time Series Forecasting, by Huanyu Zhang 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 Dota: Weight-decomposed Tensor Adaptation For Large Language Models, by Xiaolin Hu et al.
Summary of Rethinking Aleatoric and Epistemic Uncertainty, by Freddie Bickford Smith 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 Diminishing Return Of Value Expansion Methods, by Daniel Palenicek et al.
Summary of Dive Into Time-series Anomaly Detection: a Decade Review, by Paul Boniol et al.
Summary of Goal-conditioned Data Augmentation For Offline Reinforcement Learning, by Xingshuai Huang et al.
Summary of The Intrinsic Motivation Of Reinforcement and Imitation Learning For Sequential Tasks, by Sao Mai Nguyen
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 Bridging the Gap: a Decade Review Of Time-series Clustering Methods, by John Paparrizos et al.
Summary of Kryptonite-n: Machine Learning Strikes Back, by Albus Li et al.
Summary of Testing and Improving the Robustness Of Amortized Bayesian Inference For Cognitive Models, by Yufei Wu 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 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 Matrix Concentration For Random Signed Graphs and Community Recovery in the Signed Stochastic Block Model, by Sawyer Jack Robertson
Summary of Netflowgen: Leveraging Generative Pre-training For Network Traffic Dynamics, by Jiawei Zhou et al.
Summary of Audiopedia: Audio Qa with Knowledge, by Abhirama Subramanyam Penamakuri et al.
Summary of Uncertainty Herding: One Active Learning Method For All Label Budgets, by Wonho Bae et al.
Summary of Predicting Long Term Sequential Policy Value Using Softer Surrogates, by Hyunji Nam et al.
Summary of Overcoming Class Imbalance: Unified Gnn Learning with Structural and Semantic Connectivity Representations, by Abdullah Alchihabi 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 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 Exadam: the Power Of Adaptive Cross-moments, by Ahmed M. Adly
Summary of Asynchronous Federated Clustering with Unknown Number Of Clusters, by Yunfan Zhang 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 Protein Structure Prediction in the 3d Hp Model Using Deep Reinforcement Learning, by Giovanny Espitia 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 Safe Bayesian Optimization For the Control Of High-dimensional Embodied Systems, by Yunyue Wei 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 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 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 Multi-objective Large Language Model Unlearning, by Zibin Pan et al.
Summary of Multimodal Variational Autoencoder: a Barycentric View, by Peijie Qiu 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 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 Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-supervised Learning, by Sijia Chen et al.
Summary of Simltd: Simple Supervised and Semi-supervised Long-tailed Object Detection, by Phi Vu Tran
Summary of On the Compositional Generalization Of Multimodal Llms For Medical Imaging, by Zhenyang Cai et al.
Summary of Maft: Efficient Model-agnostic Fairness Testing For Deep Neural Networks Via Zero-order Gradient Search, by Zhaohui Wang et al.
Summary of Syncdiff: Synchronized Motion Diffusion For Multi-body Human-object Interaction Synthesis, by Wenkun He et al.
Summary of Real-time Calibration Model For Low-cost Sensor in Fine-grained Time Series, by Seokho Ahn et al.
Summary of Pushing the Envelope Of Low-bit Llm Via Dynamic Error Compensation, by Yeonhong Park et al.
Summary of Accurate Coresets For Latent Variable Models and Regularized Regression, by Sanskar Ranjan and Supratim Shit
Summary of Imitation Learning From Suboptimal Demonstrations Via Meta-learning An Action Ranker, by Jiangdong Fan et al.
Summary of Federated Unlearning with Gradient Descent and Conflict Mitigation, by Zibin Pan et al.
Summary of Lower Bounds on Transformers with Infinite Precision, by Alexander Kozachinskiy
Summary of Sequence Generation Modeling For Continuous Value Prediction, by Hongxu Ma et al.
Summary of Towards Real-time 2d Mapping: Harnessing Drones, Ai, and Computer Vision For Advanced Insights, by Bharath Kumar Agnur