Paper List

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Summary of Matryoshka Multimodal Models, by Mu Cai et al.
Summary of Towards Gradient-based Time-series Explanations Through a Spatiotemporal Attention Network, by Min Hun Lee
Summary of Catalm: Empowering Catalyst Design Through Large Language Models, by Ludi Wang et al.
Summary of On Margin-based Generalization Prediction in Deep Neural Networks, by Coenraad Mouton
Summary of Transformer In-context Learning For Categorical Data, by Aaron T. Wang and Ricardo Henao and Lawrence Carin
Summary of Accelerating Simulation Of Two-phase Flows with Neural Pde Surrogates, by Yoeri Poels et al.
Summary of On the Noise Robustness Of In-context Learning For Text Generation, by Hongfu Gao et al.
Summary of Dpn: Decoupling Partition and Navigation For Neural Solvers Of Min-max Vehicle Routing Problems, by Zhi Zheng et al.
Summary of Recurrent Complex-weighted Autoencoders For Unsupervised Object Discovery, by Anand Gopalakrishnan et al.
Summary of Fedhpl: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation, by Yuting Ma et al.
Summary of Opinion-guided Reinforcement Learning, by Kyanna Dagenais et al.
Summary of Efficient Ensembles Improve Training Data Attribution, by Junwei Deng et al.
Summary of Simplicity Bias Of Two-layer Networks Beyond Linearly Separable Data, by Nikita Tsoy et al.
Summary of Survey Of Graph Neural Network For Internet Of Things and Nextg Networks, by Sabarish Krishna Moorthy et al.
Summary of Probabilistic Graph Rewiring Via Virtual Nodes, by Chendi Qian et al.
Summary of Leveraging Offline Data in Linear Latent Bandits, by Chinmaya Kausik et al.
Summary of Conditioning on Time Is All You Need For Synthetic Survival Data Generation, by Mohd Ashhad and Ricardo Henao
Summary of Physics-informed Real Nvp For Satellite Power System Fault Detection, by Carlo Cena et al.
Summary of Prompt Optimization with Human Feedback, by Xiaoqiang Lin et al.
Summary of Assessing the Significance Of Longitudinal Data in Alzheimer’s Disease Forecasting, by Batuhan K. Karaman et al.
Summary of Rethinking Transformers in Solving Pomdps, by Chenhao Lu and Ruizhe Shi and Yuyao Liu and Kaizhe Hu and Simon S. Du and Huazhe Xu
Summary of Em-gansim: Real-time and Accurate Em Simulation Using Conditional Gans For 3d Indoor Scenes, by Ruichen Wang and Dinesh Manocha
Summary of Behaviorgpt: Smart Agent Simulation For Autonomous Driving with Next-patch Prediction, by Zikang Zhou et al.
Summary of Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models, by Shengyun Peng et al.
Summary of Mixtures Of Unsupervised Lexicon Classification, by Peratham Wiriyathammabhum
Summary of Diffusion Bridge Autoencoders For Unsupervised Representation Learning, by Yeongmin Kim et al.
Summary of Your Decision Path Does Matter in Pre-training Industrial Recommenders with Multi-source Behaviors, by Chunjing Gan et al.
Summary of Exploiting the Layered Intrinsic Dimensionality Of Deep Models For Practical Adversarial Training, by Enes Altinisik et al.
Summary of Synergy and Diversity in Clip: Enhancing Performance Through Adaptive Backbone Ensembling, by Cristian Rodriguez-opazo and Ehsan Abbasnejad and Damien Teney and Hamed Damirchi and Edison Marrese-taylor and Anton Van Den Hengel
Summary of Smoke and Mirrors in Causal Downstream Tasks, by Riccardo Cadei et al.
Summary of Port-hamiltonian Architectural Bias For Long-range Propagation in Deep Graph Networks, by Simon Heilig et al.
Summary of Weiper: Ood Detection Using Weight Perturbations Of Class Projections, by Maximilian Granz et al.
Summary of Forecasting Four Business Cycle Phases Using Machine Learning: a Case Study Of Us and Eurozone, by Elvys Linhares Pontes et al.
Summary of Spectral Regularization For Adversarially-robust Representation Learning, by Sheng Yang et al.
Summary of Convex Relaxation For Solving Large-margin Classifiers in Hyperbolic Space, by Sheng Yang et al.
Summary of Efficient Multi-prompt Evaluation Of Llms, by Felipe Maia Polo et al.
Summary of How Do Transformers “do” Physics? Investigating the Simple Harmonic Oscillator, by Subhash Kantamneni et al.
Summary of Spectral-refiner: Accurate Fine-tuning Of Spatiotemporal Fourier Neural Operator For Turbulent Flows, by Shuhao Cao et al.
Summary of A Retrospective Of the Tutorial on Opportunities and Challenges Of Online Deep Learning, by Cedric Kulbach et al.
Summary of Autoformalizing Euclidean Geometry, by Logan Murphy et al.
Summary of Claq: Pushing the Limits Of Low-bit Post-training Quantization For Llms, by Haoyu Wang et al.
Summary of Benchmarking General-purpose In-context Learning, by Fan Wang et al.
Summary of Surprise-adaptive Intrinsic Motivation For Unsupervised Reinforcement Learning, by Adriana Hugessen et al.
Summary of An Introduction to Vision-language Modeling, by Florian Bordes et al.
Summary of Fugnn: Harmonizing Fairness and Utility in Graph Neural Networks, by Renqiang Luo et al.
Summary of Glauber Generative Model: Discrete Diffusion Models Via Binary Classification, by Harshit Varma et al.
Summary of Bwarea Model: Learning World Model, Inverse Dynamics, and Policy For Controllable Language Generation, by Chengxing Jia et al.
Summary of Labobf: a Label Protection Scheme For Vertical Federated Learning Through Label Obfuscation, by Ying He et al.
Summary of Interesting Scientific Idea Generation Using Knowledge Graphs and Llms: Evaluations with 100 Research Group Leaders, by Xuemei Gu et al.
Summary of Hencler: Node Clustering in Heterophilous Graphs Through Learned Asymmetric Similarity, by Sonny Achten et al.
Summary of Improving Data-aware and Parameter-aware Robustness For Continual Learning, by Hanxi Xiao and Fan Lyu
Summary of Beamvq: Aligning Space-time Forecasting Model Via Self-training on Physics-aware Metrics, by Hao Wu et al.
Summary of Comparative Study Of Machine Learning Algorithms in Detecting Cardiovascular Diseases, by Dayana K et al.
Summary of The Poisson Midpoint Method For Langevin Dynamics: Provably Efficient Discretization For Diffusion Models, by Saravanan Kandasamy and Dheeraj Nagaraj
Summary of Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation, by Long-fei Li et al.
Summary of Training-free Editioning Of Text-to-image Models, by Jinqi Wang et al.
Summary of Learning with User-level Local Differential Privacy, by Puning Zhao et al.
Summary of Interaction-force Transport Gradient Flows, by Egor Gladin et al.
Summary of Effective Layer Pruning Through Similarity Metric Perspective, by Ian Pons et al.
Summary of Phase Transitions in the Output Distribution Of Large Language Models, by Julian Arnold et al.
Summary of A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation, by Steven Landgraf et al.
Summary of Dual Feature Reduction For the Sparse-group Lasso and Its Adaptive Variant, by Fabio Feser et al.
Summary of Q-value Regularized Transformer For Offline Reinforcement Learning, by Shengchao Hu et al.
Summary of Finding Good Policies in Average-reward Markov Decision Processes Without Prior Knowledge, by Adrienne Tuynman et al.
Summary of Are Self-attentions Effective For Time Series Forecasting?, by Dongbin Kim et al.
Summary of Scorch: a Library For Sparse Deep Learning, by Bobby Yan et al.
Summary of Partial Models For Building Adaptive Model-based Reinforcement Learning Agents, by Safa Alver et al.
Summary of Recurrent and Convolutional Neural Networks in Classification Of Eeg Signal For Guided Imagery and Mental Workload Detection, by Filip Postepski et al.
Summary of Predicting From a Different Perspective: a Re-ranking Model For Inductive Knowledge Graph Completion, by Yuki Iwamoto and Ken Kaneiwa
Summary of Harnessing the Power Of Vicinity-informed Analysis For Classification Under Covariate Shift, by Mitsuhiro Fujikawa et al.
Summary of Multilingual Diversity Improves Vision-language Representations, by Thao Nguyen et al.
Summary of Gta: Generative Trajectory Augmentation with Guidance For Offline Reinforcement Learning, by Jaewoo Lee et al.
Summary of The Uncanny Valley: Exploring Adversarial Robustness From a Flatness Perspective, by Nils Philipp Walter et al.
Summary of Demystifying Amortized Causal Discovery with Transformers, by Francesco Montagna et al.
Summary of Fast Ml-driven Analog Circuit Layout Using Reinforcement Learning and Steiner Trees, by Davide Basso et al.
Summary of Functional Programming Paradigm Of Python For Scientific Computation Pipeline Integration, by Chen Zhang et al.
Summary of Large Deviations Of Gaussian Neural Networks with Relu Activation, by Quirin Vogel
Summary of Dual-delayed Asynchronous Sgd For Arbitrarily Heterogeneous Data, by Xiaolu Wang et al.
Summary of A Correlation- and Mean-aware Loss Function and Benchmarking Framework to Improve Gan-based Tabular Data Synthesis, by Minh H. Vu et al.
Summary of Oslo: One-shot Label-only Membership Inference Attacks, by Yuefeng Peng et al.
Summary of Graph Condensation For Open-world Graph Learning, by Xinyi Gao et al.
Summary of Supervised Batch Normalization, by Bilal Faye et al.
Summary of Scarl- a Synthetic Multi-modal Dataset For Autonomous Driving, by Avinash Nittur Ramesh et al.
Summary of Any-step Dynamics Model Improves Future Predictions For Online and Offline Reinforcement Learning, by Haoxin Lin et al.
Summary of Transport Of Algebraic Structure to Latent Embeddings, by Samuel Pfrommer et al.
Summary of Concept Matching with Agent For Out-of-distribution Detection, by Yuxiao Lee et al.
Summary of Physics Informed Cell Representations For Variational Formulation Of Multiscale Problems, by Yuxiang Gao et al.
Summary of Exploring Fairness in Educational Data Mining in the Context Of the Right to Be Forgotten, by Wei Qian et al.
Summary of Arc: a Generalist Graph Anomaly Detector with In-context Learning, by Yixin Liu et al.
Summary of Dual-state Personalized Knowledge Tracing with Emotional Incorporation, by Shanshan Wang et al.
Summary of Taga: Text-attributed Graph Self-supervised Learning by Synergizing Graph and Text Mutual Transformations, By Zheng Zhang et al.
Summary of Autopsv: Automated Process-supervised Verifier, by Jianqiao Lu et al.
Summary of Gradient Compressed Sensing: a Query-efficient Gradient Estimator For High-dimensional Zeroth-order Optimization, by Ruizhong Qiu et al.
Summary of Automatic Domain Adaptation by Transformers in In-context Learning, By Ryuichiro Hataya et al.
Summary of Laboratory-scale Ai: Open-weight Models Are Competitive with Chatgpt Even in Low-resource Settings, by Robert Wolfe et al.
Summary of Kernel-based Optimally Weighted Conformal Prediction Intervals, by Jonghyeok Lee et al.
Summary of Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node, by Andreas Charalampopoulos et al.
Summary of Safe Lora: the Silver Lining Of Reducing Safety Risks When Fine-tuning Large Language Models, by Chia-yi Hsu et al.
Summary of Enhancing Accuracy in Generative Models Via Knowledge Transfer, by Xinyu Tian and Xiaotong Shen
Summary of Non-stochastic Bandits with Evolving Observations, by Yogev Bar-on and Yishay Mansour