Paper List

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Summary of Y-diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances, by Jannis Chemseddine et al.
Summary of Unraveling the Enigma Of Double Descent: An In-depth Analysis Through the Lens Of Learned Feature Space, by Yufei Gu et al.
Summary of Copr: Continual Learning Human Preference Through Optimal Policy Regularization, by Han Zhang et al.
Summary of Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms, by Qingyu Wang et al.
Summary of Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data, by Anup Shakya et al.
Summary of Domino: Domain-invariant Hyperdimensional Classification For Multi-sensor Time Series Data, by Junyao Wang et al.
Summary of Modsec-advlearn: Countering Adversarial Sql Injections with Robust Machine Learning, by Biagio Montaruli et al.
Summary of When Monte-carlo Dropout Meets Multi-exit: Optimizing Bayesian Neural Networks on Fpga, by Hongxiang Fan and Hao Chen and Liam Castelli and Zhiqiang Que and He Li and Kenneth Long and Wayne Luk
Summary of Cross-city Few-shot Traffic Forecasting Via Traffic Pattern Bank, by Zhanyu Liu et al.
Summary of The Local Learning Coefficient: a Singularity-aware Complexity Measure, by Edmund Lau et al.
Summary of Symbolic and Language Agnostic Large Language Models, by Walid S. Saba
Summary of Ma-vae: Multi-head Attention-based Variational Autoencoder Approach For Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing, by Lucas Correia et al.
Summary of On the Complexity Of Differentially Private Best-arm Identification with Fixed Confidence, by Achraf Azize et al.
Summary of Domain Adaptation For Efficiently Fine-tuning Vision Transformer with Encrypted Images, by Teru Nagamori et al.
Summary of Mitigating the Alignment Tax Of Rlhf, by Yong Lin et al.
Summary of Onenet: Enhancing Time Series Forecasting Models Under Concept Drift by Online Ensembling, By Yi-fan Zhang et al.
Summary of D-separation For Causal Self-explanation, by Wei Liu et al.
Summary of Oats: Opinion Aspect Target Sentiment Quadruple Extraction Dataset For Aspect-based Sentiment Analysis, by Siva Uday Sampreeth Chebolu and Franck Dernoncourt and Nedim Lipka and Thamar Solorio
Summary of Inspacetype: Reconsider Space Type in Indoor Monocular Depth Estimation, by Cho-ying Wu et al.
Summary of Dfrd: Data-free Robustness Distillation For Heterogeneous Federated Learning, by Kangyang Luo et al.
Summary of The Triad Of Failure Modes and a Possible Way Out, by Emanuele Sansone
Summary of Multi-source Domain Adaptation For Object Detection with Prototype-based Mean-teacher, by Atif Belal et al.
Summary of Masked Autoencoders Are Scalable Learners Of Cellular Morphology, by Oren Kraus et al.
Summary of Non-parametric Probabilistic Time Series Forecasting Via Innovations Representation, by Xinyi Wang et al.
Summary of Unifying Large Language Models and Knowledge Graphs: a Roadmap, by Shirui Pan et al.
Summary of Towards Faster Non-asymptotic Convergence For Diffusion-based Generative Models, by Gen Li et al.
Summary of On the Global Convergence Of Natural Actor-critic with Two-layer Neural Network Parametrization, by Mudit Gaur et al.
Summary of Opendataval: a Unified Benchmark For Data Valuation, by Kevin Fu Jiang et al.
Summary of Sgformer: Simplifying and Empowering Transformers For Large-graph Representations, by Qitian Wu et al.
Summary of Split Learning in 6g Edge Networks, by Zheng Lin et al.
Summary of Evolutionary Approaches to Explainable Machine Learning, by Ryan Zhou et al.
Summary of Conversation Derailment Forecasting with Graph Convolutional Networks, by Enas Altarawneh et al.
Summary of Chatgpt May Excel in States Medical Licensing Examination but Falters in Basic Linear Algebra, by Eli Bagno et al.
Summary of Wavemixsr: a Resource-efficient Neural Network For Image Super-resolution, by Pranav Jeevan et al.
Summary of Adversarial Attacks on Image Classification Models: Fgsm and Patch Attacks and Their Impact, by Jaydip Sen and Subhasis Dasgupta
Summary of Carbon-efficient Neural Architecture Search, by Yiyang Zhao and Tian Guo
Summary of Reward-directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement, by Hui Yuan et al.
Summary of Learning For Counterfactual Fairness From Observational Data, by Jing Ma et al.
Summary of Do Models Explain Themselves? Counterfactual Simulatability Of Natural Language Explanations, by Yanda Chen et al.
Summary of Dream: Domain-free Reverse Engineering Attributes Of Black-box Model, by Rongqing Li et al.
Summary of Looking Deeper Into Interpretable Deep Learning in Neuroimaging: a Comprehensive Survey, by Md. Mahfuzur Rahman et al.
Summary of The Effect Of Network Topologies on Fully Decentralized Learning: a Preliminary Investigation, by Luigi Palmieri et al.
Summary of Relationship Between Batch Size and Number Of Steps Needed For Nonconvex Optimization Of Stochastic Gradient Descent Using Armijo Line Search, by Yuki Tsukada et al.
Summary of Self-supervised Temporal Analysis Of Spatiotemporal Data, by Yi Cao and Swetava Ganguli and Vipul Pandey
Summary of Federated Learning in Wireless Networks Via Over-the-air Computations, by Halil Yigit Oksuz et al.
Summary of Arbex: Attentive Feature Extraction with Reliability Balancing For Robust Facial Expression Learning, by Azmine Toushik Wasi et al.
Summary of Global Update Tracking: a Decentralized Learning Algorithm For Heterogeneous Data, by Sai Aparna Aketi et al.
Summary of Doctor: a Multi-disease Detection Continual Learning Framework Based on Wearable Medical Sensors, by Chia-hao Li and Niraj K. Jha
Summary of Extracting Diagnosis Pathways From Electronic Health Records Using Deep Reinforcement Learning, by Lillian Muyama et al.
Summary of Off-policy Evaluation For Large Action Spaces Via Conjunct Effect Modeling, by Yuta Saito et al.
Summary of A Machine Learning-based Viscoelastic-viscoplastic Model For Epoxy Nanocomposites with Moisture Content, by Betim Bahtiri et al.
Summary of Convergence Analysis Of Mean Shift, by Ryoya Yamasaki et al.
Summary of Progsg: Cross-modality Representation Learning For Programs in Electronic Design Automation, by Yunsheng Bai et al.
Summary of Diffava: Personalized Text-to-audio Generation with Visual Alignment, by Shentong Mo et al.
Summary of Federated Offline Policy Learning, by Aldo Gael Carranza et al.
Summary of Towards More Suitable Personalization in Federated Learning Via Decentralized Partial Model Training, by Yifan Shi et al.
Summary of Better Batch For Deep Probabilistic Time Series Forecasting, by Vincent Zhihao Zheng et al.
Summary of Diagnostic Spatio-temporal Transformer with Faithful Encoding, by Jokin Labaien et al.
Summary of Bridging the Language Gap: Dynamic Learning Strategies For Improving Multilingual Performance in Llms, by Somnath Kumar et al.
Summary of A Geometric Perspective on Diffusion Models, by Defang Chen et al.
Summary of In or Out? Fixing Imagenet Out-of-distribution Detection Evaluation, by Julian Bitterwolf et al.
Summary of Too Large; Data Reduction For Vision-language Pre-training, by Alex Jinpeng Wang et al.
Summary of Pagar: Taming Reward Misalignment in Inverse Reinforcement Learning-based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward, by Weichao Zhou et al.
Summary of Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms Via Adversarial Learning, by Jiashuo Jiang
Summary of Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design, by Shuze Liu et al.
Summary of Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds, by Shion Takeno et al.
Summary of A Minimax Approach Against Multi-armed Adversarial Attacks Detection, by Federica Granese et al.
Summary of Toward Large Kernel Models, by Amirhesam Abedsoltan et al.
Summary of Asymptotically Optimal Fixed-budget Best Arm Identification with Variance-dependent Bounds, by Masahiro Kato et al.
Summary of Fair Minimum Representation Clustering, by Connor Lawless et al.
Summary of Rethinking Confidence Calibration For Failure Prediction, by Fei Zhu et al.
Summary of Effective Data Augmentation with Diffusion Models, by Brandon Trabucco et al.
Summary of Diminishing Return Of Value Expansion Methods in Model-based Reinforcement Learning, by Daniel Palenicek et al.
Summary of Non-contrastive Unsupervised Learning Of Physiological Signals From Video, by Jeremy Speth et al.
Summary of Slca: Slow Learner with Classifier Alignment For Continual Learning on a Pre-trained Model, by Gengwei Zhang et al.
Summary of Vehicle Lateral Control Using Machine Learning For Automated Vehicle Guidance, by Akash Fogla et al.
Summary of Large Selective Kernel Network For Remote Sensing Object Detection, by Yuxuan Li et al.
Summary of On the Convergence Of Decentralized Federated Learning Under Imperfect Information Sharing, by Vishnu Pandi Chellapandi et al.
Summary of Toward Polar Sea-ice Classification Using Color-based Segmentation and Auto-labeling Of Sentinel-2 Imagery to Train An Efficient Deep Learning Model, by Jurdana Masuma Iqrah et al.
Summary of Feature Space Sketching For Logistic Regression, by Gregory Dexter et al.
Summary of Blackvip: Black-box Visual Prompting For Robust Transfer Learning, by Changdae Oh et al.
Summary of Towards Understanding the Effect Of Pretraining Label Granularity, by Guan Zhe Hong et al.
Summary of Segmentation Of Planning Target Volume in Ct Series For Total Marrow Irradiation Using U-net, by Ricardo Coimbra Brioso et al.
Summary of Addressing the Issue Of Stochastic Environments and Local Decision-making in Multi-objective Reinforcement Learning, by Kewen Ding
Summary of Efficienttrain: Exploring Generalized Curriculum Learning For Training Visual Backbones, by Yulin Wang et al.
Summary of Distributionally Robust Survival Analysis: a Novel Fairness Loss Without Demographics, by Shu Hu et al.
Summary of Linear Stability Hypothesis and Rank Stratification For Nonlinear Models, by Yaoyu Zhang et al.
Summary of Attention-based Feature Compression For Cnn Inference Offloading in Edge Computing, by Nan Li et al.
Summary of Optimal Sparse Regression Trees, by Rui Zhang et al.
Summary of Reinforcement Learning For Multi-truck Vehicle Routing Problems, by Joshua Levin (1) et al.
Summary of Stochastic Rising Bandits, by Alberto Maria Metelli et al.
Summary of An Information-theoretic Analysis Of Compute-optimal Neural Scaling Laws, by Hong Jun Jeon et al.
Summary of Information-theoretic Safe Exploration with Gaussian Processes, by Alessandro G. Bottero et al.
Summary of Rethinking the Role Of Pre-trained Networks in Source-free Domain Adaptation, by Wenyu Zhang et al.
Summary of A Layered Architecture For Universal Causality, by Sridhar Mahadevan
Summary of Differentiable Search Of Accurate and Robust Architectures, by Yuwei Ou et al.
Summary of On Machine Learning Knowledge Representation in the Form Of Partially Unitary Operator. Knowledge Generalizing Operator, by Vladislav Gennadievich Malyshkin
Summary of Flatenn: Train Flat For Enhanced Fault Tolerance Of Quantized Deep Neural Networks, by Akul Malhotra and Sumeet Kumar Gupta
Summary of Difformer: Scalable (graph) Transformers Induced by Energy Constrained Diffusion, By Qitian Wu et al.
Summary of Semantic and Effective Communication For Remote Control Tasks with Dynamic Feature Compression, by Pietro Talli et al.