Paper List

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Summary of Representation Learning For Frequent Subgraph Mining, by Rex Ying et al.
Summary of Securing Transactions: a Hybrid Dependable Ensemble Machine Learning Model Using Iht-lr and Grid Search, by Md. Alamin Talukder et al.
Summary of Generative Adversarial Network with Soft-dynamic Time Warping and Parallel Reconstruction For Energy Time Series Anomaly Detection, by Hardik Prabhu et al.
Summary of Improving Language Understanding From Screenshots, by Tianyu Gao et al.
Summary of Efficient Normalized Conformal Prediction and Uncertainty Quantification For Anti-cancer Drug Sensitivity Prediction with Deep Regression Forests, by Daniel Nolte et al.
Summary of Motion Code: Robust Time Series Classification and Forecasting Via Sparse Variational Multi-stochastic Processes Learning, by Chandrajit Bajaj et al.
Summary of Lexc-gen: Generating Data For Extremely Low-resource Languages with Large Language Models and Bilingual Lexicons, by Zheng-xin Yong et al.
Summary of Zero-shot Generalization Across Architectures For Visual Classification, by Evan Gerritz et al.
Summary of Intriguing Properties Of Modern Gans, by Roy Friedman and Yair Weiss
Summary of Computational-statistical Gaps For Improper Learning in Sparse Linear Regression, by Rares-darius Buhai et al.
Summary of Deisam: Segment Anything with Deictic Prompting, by Hikaru Shindo et al.
Summary of Neuroflux: Memory-efficient Cnn Training Using Adaptive Local Learning, by Dhananjay Saikumar and Blesson Varghese
Summary of Recursive Speculative Decoding: Accelerating Llm Inference Via Sampling Without Replacement, by Wonseok Jeon et al.
Summary of Multiply Robust Estimation For Local Distribution Shifts with Multiple Domains, by Steven Wilkins-reeves et al.
Summary of T-stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stitching, by Zizheng Pan et al.
Summary of A Temporal Stochastic Bias Correction Using a Machine Learning Attention Model, by Omer Nivron et al.
Summary of Linear Transformers Are Versatile In-context Learners, by Max Vladymyrov et al.
Summary of Beyond Simple Averaging: Improving Nlp Ensemble Performance with Topological-data-analysis-based Weighting, by Polina Proskura et al.
Summary of Betail: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay, by Catherine Weaver et al.
Summary of Moonwalk: Inverse-forward Differentiation, by Dmitrii Krylov et al.
Summary of Comparing Graph Transformers Via Positional Encodings, by Mitchell Black et al.
Summary of Llm-assisted Content Conditional Debiasing For Fair Text Embedding, by Wenlong Deng et al.
Summary of Estimating Unknown Population Sizes Using the Hypergeometric Distribution, by Liam Hodgson and Danilo Bzdok
Summary of Probabilistic Neural Networks (pnns) For Modeling Aleatoric Uncertainty in Scientific Machine Learning, by Farhad Pourkamali-anaraki et al.
Summary of Attackgnn: Red-teaming Gnns in Hardware Security Using Reinforcement Learning, by Vasudev Gohil et al.
Summary of Do Efficient Transformers Really Save Computation?, by Kai Yang et al.
Summary of Stability-aware Training Of Machine Learning Force Fields with Differentiable Boltzmann Estimators, by Sanjeev Raja et al.
Summary of A Simple and Yet Fairly Effective Defense For Graph Neural Networks, by Sofiane Ennadir et al.
Summary of Fedadmm-insa: An Inexact and Self-adaptive Admm For Federated Learning, by Yongcun Song et al.
Summary of Geometry-informed Neural Networks, by Arturs Berzins et al.
Summary of Misalignment, Learning, and Ranking: Harnessing Users Limited Attention, by Arpit Agarwal et al.
Summary of Corrective Machine Unlearning, by Shashwat Goel et al.
Summary of D-flow: Differentiating Through Flows For Controlled Generation, by Heli Ben-hamu et al.
Summary of Coercing Llms to Do and Reveal (almost) Anything, by Jonas Geiping et al.
Summary of Learning Causation Event Conjunction Sequences, by Thomas E. Portegys
Summary of Partially Frozen Random Networks Contain Compact Strong Lottery Tickets, by Hikari Otsuka et al.
Summary of Wisdom Of Committee: Distilling From Foundation Model to Specialized Application Model, by Zichang Liu et al.
Summary of Vn Network: Embedding Newly Emerging Entities with Virtual Neighbors, by Yongquan He and Zihan Wang and Peng Zhang and Zhaopeng Tu and Zhaochun Ren
Summary of Specialty Detection in the Context Of Telemedicine in a Highly Imbalanced Multi-class Distribution, by Alaa Alomari et al.
Summary of E2usd: Efficient-yet-effective Unsupervised State Detection For Multivariate Time Series, by Zhichen Lai et al.
Summary of Protect and Extend — Using Gans For Synthetic Data Generation Of Time-series Medical Records, by Navid Ashrafi et al.
Summary of Simple and Effective Transfer Learning For Neuro-symbolic Integration, by Alessandro Daniele et al.
Summary of Generative Adversarial Models For Extreme Geospatial Downscaling, by Guiye Li and Guofeng Cao
Summary of Contextual Molecule Representation Learning From Chemical Reaction Knowledge, by Han Tang et al.
Summary of Preserving Near-optimal Gradient Sparsification Cost For Scalable Distributed Deep Learning, by Daegun Yoon et al.
Summary of The Expected Loss Of Preconditioned Langevin Dynamics Reveals the Hessian Rank, by Amitay Bar et al.
Summary of Voice-driven Mortality Prediction in Hospitalized Heart Failure Patients: a Machine Learning Approach Enhanced with Diagnostic Biomarkers, by Nihat Ahmadli et al.
Summary of Fld: Fourier Latent Dynamics For Structured Motion Representation and Learning, by Chenhao Li et al.
Summary of Performance Improvement Bounds For Lipschitz Configurable Markov Decision Processes, by Alberto Maria Metelli
Summary of Neural Control System For Continuous Glucose Monitoring and Maintenance, by Azmine Toushik Wasi
Summary of Mlxp: a Framework For Conducting Replicable Experiments in Python, by Michael Arbel et al.
Summary of Replicable Learning Of Large-margin Halfspaces, by Alkis Kalavasis et al.
Summary of Generative Probabilistic Time Series Forecasting and Applications in Grid Operations, by Xinyi Wang et al.
Summary of An Explainable Transformer-based Model For Phishing Email Detection: a Large Language Model Approach, by Mohammad Amaz Uddin and Iqbal H. Sarker
Summary of Overcoming Saturation in Density Ratio Estimation by Iterated Regularization, By Lukas Gruber et al.
Summary of Dealing with Unbounded Gradients in Stochastic Saddle-point Optimization, by Gergely Neu et al.
Summary of Broadening Target Distributions For Accelerated Diffusion Models Via a Novel Analysis Approach, by Yuchen Liang et al.
Summary of Replication Study: Enhancing Hydrological Modeling with Physics-guided Machine Learning, by Mostafa Esmaeilzadeh et al.
Summary of Bias Correction Of Wind Power Forecasts with Scada Data and Continuous Learning, by Stefan Jonas et al.
Summary of Position: Explain to Question Not to Justify, by Przemyslaw Biecek et al.
Summary of Sdxl-lightning: Progressive Adversarial Diffusion Distillation, by Shanchuan Lin et al.
Summary of Benchcloudvision: a Benchmark Analysis Of Deep Learning Approaches For Cloud Detection and Segmentation in Remote Sensing Imagery, by Loddo Fabio et al.
Summary of Enhancing Reinforcement Learning Agents with Local Guides, by Paul Daoudi et al.
Summary of Mastering the Game Of Guandan with Deep Reinforcement Learning and Behavior Regulating, by Yifan Yanggong et al.
Summary of Data-driven Discovery with Large Generative Models, by Bodhisattwa Prasad Majumder et al.
Summary of User-llm: Efficient Llm Contextualization with User Embeddings, by Lin Ning et al.
Summary of Overview Of the Vlsp 2023 — Comom Shared Task: a Data Challenge For Comparative Opinion Mining From Vietnamese Product Reviews, by Hoang-quynh Le et al.
Summary of Improving Building Temperature Forecasting: a Data-driven Approach with System Scenario Clustering, by Dafang Zhao et al.
Summary of Unigraph: Learning a Unified Cross-domain Foundation Model For Text-attributed Graphs, by Yufei He et al.
Summary of Flexhb: a More Efficient and Flexible Framework For Hyperparameter Optimization, by Yang Zhang et al.
Summary of The Metric-framework For Assessing Data Quality For Trustworthy Ai in Medicine: a Systematic Review, by Daniel Schwabe et al.
Summary of Robustness Of Deep Neural Networks For Micro-doppler Radar Classification, by Mikolaj Czerkawski and Carmine Clemente and Craig Michie and Christos Tachtatzis
Summary of A Large Dimensional Analysis Of Multi-task Semi-supervised Learning, by Victor Leger et al.
Summary of Pqa: Zero-shot Protein Question Answering For Free-form Scientific Enquiry with Large Language Models, by Eli M Carrami and Sahand Sharifzadeh
Summary of On the Conflict Of Robustness and Learning in Collaborative Machine Learning, by Mathilde Raynal and Carmela Troncoso
Summary of Automation Of Quantum Dot Measurement Analysis Via Explainable Machine Learning, by Daniel Schug et al.
Summary of Dslr: Diversity Enhancement and Structure Learning For Rehearsal-based Graph Continual Learning, by Seungyoon Choi et al.
Summary of Sparse and Structured Hopfield Networks, by Saul Santos et al.
Summary of Average Gradient Outer Product As a Mechanism For Deep Neural Collapse, by Daniel Beaglehole et al.
Summary of Reasoning Algorithmically in Graph Neural Networks, by Danilo Numeroso
Summary of Accuracy-preserving Calibration Via Statistical Modeling on Probability Simplex, by Yasushi Esaki and Akihiro Nakamura and Keisuke Kawano and Ryoko Tokuhisa and Takuro Kutsuna
Summary of Ai-powered Predictions For Electricity Load in Prosumer Communities, by Aleksei Kychkin et al.
Summary of Deep Generative Models For Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions, by Jiayu Chen et al.
Summary of Theoretical Analysis Of Submodular Information Measures For Targeted Data Subset Selection, by Nathan Beck et al.
Summary of Learning to Poison Large Language Models During Instruction Tuning, by Yao Qiang and Xiangyu Zhou and Saleh Zare Zade and Mohammad Amin Roshani and Prashant Khanduri and Douglas Zytko and Dongxiao Zhu
Summary of Stencil: Submodular Mutual Information Based Weak Supervision For Cold-start Active Learning, by Nathan Beck et al.
Summary of Retrieval-augmented Data Augmentation For Low-resource Domain Tasks, by Minju Seo et al.
Summary of Stealthy Adversarial Attacks on Stochastic Multi-armed Bandits, by Zhiwei Wang et al.
Summary of Propd: Dynamic Token Tree Pruning and Generation For Llm Parallel Decoding, by Shuzhang Zhong et al.
Summary of Simpro: a Simple Probabilistic Framework Towards Realistic Long-tailed Semi-supervised Learning, by Chaoqun Du et al.
Summary of From Self-attention to Markov Models: Unveiling the Dynamics Of Generative Transformers, by M. Emrullah Ildiz et al.
Summary of Heterogeneous Graph Neural Network on Semantic Tree, by Mingyu Guan et al.
Summary of Prosparse: Introducing and Enhancing Intrinsic Activation Sparsity Within Large Language Models, by Chenyang Song et al.
Summary of Matchnas: Optimizing Edge Ai in Sparse-label Data Contexts Via Automating Deep Neural Network Porting For Mobile Deployment, by Hongtao Huang et al.
Summary of Private Gradient Descent For Linear Regression: Tighter Error Bounds and Instance-specific Uncertainty Estimation, by Gavin Brown et al.
Summary of Fingpt-hpc: Efficient Pretraining and Finetuning Large Language Models For Financial Applications with High-performance Computing, by Xiao-yang Liu et al.
Summary of Arl2: Aligning Retrievers For Black-box Large Language Models Via Self-guided Adaptive Relevance Labeling, by Lingxi Zhang et al.
Summary of Fine-grained Modeling Of Narrative Context: a Coherence Perspective Via Retrospective Questions, by Liyan Xu et al.
Summary of Diffplf: a Conditional Diffusion Model For Probabilistic Forecasting Of Ev Charging Load, by Siyang Li et al.
Summary of Inductive Graph Alignment Prompt: Bridging the Gap Between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective, by Yuchen Yan et al.