Paper List

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Summary of Inception: Efficiently Computable Misinformation Attacks on Markov Games, by Jeremy Mcmahan et al.
Summary of Mm-spubench: Towards Better Understanding Of Spurious Biases in Multimodal Llms, by Wenqian Ye et al.
Summary of A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods, by Piotr Tempczyk et al.
Summary of Quantifying Heterogeneous Ecosystem Services with Multi-label Soft Classification, by Zhihui Tian et al.
Summary of Data Debiasing with Datamodels (d3m): Improving Subgroup Robustness Via Data Selection, by Saachi Jain et al.
Summary of Geomformer: a General Architecture For Geometric Molecular Representation Learning, by Tianlang Chen et al.
Summary of Eagle-2: Faster Inference Of Language Models with Dynamic Draft Trees, by Yuhui Li et al.
Summary of Textage: a Curated and Diverse Text Dataset For Age Classification, by Shravan Cheekati et al.
Summary of Generative Data Assimilation Of Sparse Weather Station Observations at Kilometer Scales, by Peter Manshausen et al.
Summary of Optimising Random Forest Machine Learning Algorithms For User Vr Experience Prediction Based on Iterative Local Search-sparrow Search Algorithm, by Xirui Tang (1) et al.
Summary of Fair Differentiable Neural Network Architecture Search For Long-tailed Data with Self-supervised Learning, by Jiaming Yan
Summary of Data-driven Computing Methods For Nonlinear Physics Systems with Geometric Constraints, by Yunjin Tong
Summary of Recurrent Stochastic Configuration Networks For Temporal Data Analytics, by Dianhui Wang and Gang Dang
Summary of Metagreen: Meta-learning Inspired Transformer Selection For Green Semantic Communication, by Shubhabrata Mukherjee et al.
Summary of Large Language Models For Link Stealing Attacks Against Graph Neural Networks, by Faqian Guan et al.
Summary of Are Language Models Actually Useful For Time Series Forecasting?, by Mingtian Tan et al.
Summary of Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels, by Yangdi Lu et al.
Summary of Present and Future Of Ai in Renewable Energy Domain : a Comprehensive Survey, by Abdur Rashid et al.
Summary of Multimodal Physiological Signals Representation Learning Via Multiscale Contrasting For Depression Recognition, by Kai Shao et al.
Summary of Flexible Tails For Normalizing Flows, by Tennessee Hickling and Dennis Prangle
Summary of An Efficient Nas-based Approach For Handling Imbalanced Datasets, by Zhiwei Yao
Summary of Shdb-af: a Japanese Holter Ecg Database Of Atrial Fibrillation, by Kenta Tsutsui et al.
Summary of A Review Of Global Sensitivity Analysis Methods and a Comparative Case Study on Digit Classification, by Zahra Sadeghi et al.
Summary of Understanding and Diagnosing Deep Reinforcement Learning, by Ezgi Korkmaz
Summary of Inducing Group Fairness in Prompt-based Language Model Decisions, by James Atwood et al.
Summary of Gc4nc: a Benchmark Framework For Graph Condensation on Node Classification with New Insights, by Shengbo Gong et al.
Summary of Learning the Boundary-to-domain Mapping Using Lifting Product Fourier Neural Operators For Partial Differential Equations, by Aditya Kashi et al.
Summary of Sparser Is Faster and Less Is More: Efficient Sparse Attention For Long-range Transformers, by Chao Lou et al.
Summary of The Responsible Foundation Model Development Cheatsheet: a Review Of Tools & Resources, by Shayne Longpre et al.
Summary of Ocalm: Object-centric Assessment with Language Models, by Timo Kaufmann et al.
Summary of Inferring Stochastic Low-rank Recurrent Neural Networks From Neural Data, by Matthijs Pals et al.
Summary of The Mri Scanner As a Diagnostic: Image-less Active Sampling, by Yuning Du et al.
Summary of Addressing Polarization and Unfairness in Performative Prediction, by Kun Jin et al.
Summary of Conformal Time Series Decomposition with Component-wise Exchangeability, by Derck W. E. Prinzhorn et al.
Summary of M2lingual: Enhancing Multilingual, Multi-turn Instruction Alignment in Large Language Models, by Rishabh Maheshwary and Vikas Yadav and Hoang Nguyen and Khyati Mahajan and Sathwik Tejaswi Madhusudhan
Summary of Confidence Aware Inverse Constrained Reinforcement Learning, by Sriram Ganapathi Subramanian et al.
Summary of Enabling More Efficient and Cost-effective Ai/ml Systems with Collective Mind, Virtualized Mlops, Mlperf, Collective Knowledge Playground and Reproducible Optimization Tournaments, by Grigori Fursin
Summary of Adam-mini: Use Fewer Learning Rates to Gain More, by Yushun Zhang et al.
Summary of Beyond Thumbs Up/down: Untangling Challenges Of Fine-grained Feedback For Text-to-image Generation, by Katherine M. Collins et al.
Summary of How Data Inter-connectivity Shapes Llms Unlearning: a Structural Unlearning Perspective, by Xinchi Qiu et al.
Summary of Understanding and Mitigating Tokenization Bias in Language Models, by Buu Phan et al.
Summary of General Binding Affinity Guidance For Diffusion Models in Structure-based Drug Design, by Yue Jian et al.
Summary of Statistical Error Bounds For Gans with Nonlinear Objective Functionals, by Jeremiah Birrell
Summary of From Decoding to Meta-generation: Inference-time Algorithms For Large Language Models, by Sean Welleck et al.
Summary of Inference Of Sequential Patterns For Neural Message Passing in Temporal Graphs, by Jan Von Pichowski et al.
Summary of Efficient K-means with Individual Fairness Via Exponential Tilting, by Shengkun Zhu et al.
Summary of Personalized Federated Learning Based on Feature Fusion, by Wolong Xing et al.
Summary of Forecasting with Deep Learning: Beyond Average Of Average Of Average Performance, by Vitor Cerqueira et al.
Summary of Clear: Can Language Models Really Understand Causal Graphs?, by Sirui Chen et al.
Summary of Measuring the Recyclability Of Electronic Components to Assist Automatic Disassembly and Sorting Waste Printed Circuit Boards, by Muhammad Mohsin et al.
Summary of Cherry on the Cake: Fairness Is Not An Optimization Problem, by Marco Favier et al.
Summary of When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights, by You-wei Luo et al.
Summary of Generalized Dynamic Brain Functional Connectivity Based on Random Convolutions, by Yongjie Duan et al.
Summary of Shadowllm: Predictor-based Contextual Sparsity For Large Language Models, by Yash Akhauri et al.
Summary of Data-driven Modeling in Metrology — a Short Introduction, Current Developments and Future Perspectives, by Linda-sophie Schneider et al.
Summary of Cubic Regularized Subspace Newton For Non-convex Optimization, by Jim Zhao et al.
Summary of Segment Any Text: a Universal Approach For Robust, Efficient and Adaptable Sentence Segmentation, by Markus Frohmann et al.
Summary of Repulsive Latent Score Distillation For Solving Inverse Problems, by Nicolas Zilberstein et al.
Summary of Link Prediction with Untrained Message Passing Layers, by Lisi Qarkaxhija et al.
Summary of Coding Schemes in Neural Networks Learning Classification Tasks, by Alexander Van Meegen et al.
Summary of Probabilistic Subgoal Representations For Hierarchical Reinforcement Learning, by Vivienne Huiling Wang et al.
Summary of Learning Interpretable Fair Representations, by Tianhao Wang et al.
Summary of Causalformer: An Interpretable Transformer For Temporal Causal Discovery, by Lingbai Kong et al.
Summary of Autodetect: Towards a Unified Framework For Automated Weakness Detection in Large Language Models, by Jiale Cheng et al.
Summary of Landscaping Linear Mode Connectivity, by Sidak Pal Singh et al.
Summary of Cascade Reward Sampling For Efficient Decoding-time Alignment, by Bolian Li et al.
Summary of Does Cross-cultural Alignment Change the Commonsense Morality Of Language Models?, by Yuu Jinnai
Summary of Anomaly Detection Of Tabular Data Using Llms, by Aodong Li et al.
Summary of Multimodal Graph Benchmark, by Jing Zhu et al.
Summary of Annotatedtables: a Large Tabular Dataset with Language Model Annotations, by Yaojie Hu et al.
Summary of Metrik: Measurement-efficient Randomized Controlled Trials Using Transformers with Input Masking, by Sayeri Lala (1) and Niraj K. Jha (1) ((1) Princeton University et al.
Summary of Memory-enhanced Neural Solvers For Efficient Adaptation in Combinatorial Optimization, by Felix Chalumeau et al.
Summary of Compact Model Parameter Extraction Via Derivative-free Optimization, by Rafael Perez Martinez et al.
Summary of Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification, by Beini Xie et al.
Summary of Fault Detection For Agents on Power Grid Topology Optimization: a Comprehensive Analysis, by Malte Lehna and Mohamed Hassouna and Dmitry Degtyar and Sven Tomforde and Christoph Scholz
Summary of Theory on Mixture-of-experts in Continual Learning, by Hongbo Li et al.
Summary of Robust Prediction Under Missingness Shifts, by Patrick Rockenschaub et al.
Summary of The Hidden Pitfalls Of the Cosine Similarity Loss, by Andrew Draganov et al.
Summary of Unicad: a Unified Approach For Attack Detection, Noise Reduction and Novel Class Identification, by Alvaro Lopez Pellicer et al.
Summary of Oal: Enhancing Ood Detection Using Latent Diffusion, by Heng Gao et al.
Summary of Syrocco: Enhancing Systematic Reviews Using Machine Learning, by Zheng Fang et al.
Summary of Token-based Decision Criteria Are Suboptimal in In-context Learning, by Hakaze Cho et al.
Summary of Conditional Bayesian Quadrature, by Zonghao Chen et al.
Summary of Improving Robustness to Corruptions with Multiplicative Weight Perturbations, by Trung Trinh et al.
Summary of Semi-variance Reduction For Fair Federated Learning, by Saber Malekmohammadi
Summary of Hardware-aware Neural Dropout Search For Reliable Uncertainty Prediction on Fpga, by Zehuan Zhang et al.
Summary of Towards Unlocking the Mystery Of Adversarial Fragility Of Neural Networks, by Jingchao Gao et al.
Summary of Zero-inflated Tweedie Boosted Trees with Catboost For Insurance Loss Analytics, by Banghee So and Emiliano A. Valdez
Summary of Provable Statistical Rates For Consistency Diffusion Models, by Zehao Dou et al.
Summary of Trace Is the Next Autodiff: Generative Optimization with Rich Feedback, Execution Traces, and Llms, by Ching-an Cheng et al.
Summary of Learning Run-time Safety Monitors For Machine Learning Components, by Ozan Vardal and Richard Hawkins and Colin Paterson and Chiara Picardi and Daniel Omeiza and Lars Kunze and Ibrahim Habli
Summary of F-fomaml: Gnn-enhanced Meta-learning For Peak Period Demand Forecasting with Proxy Data, by Zexing Xu et al.
Summary of Vicatmix: Variational Bayesian Clustering and Variable Selection For Discrete Biomedical Data, by Paul D. W. Kirk and Jackie Rao
Summary of Jacobian Descent For Multi-objective Optimization, by Pierre Quinton et al.
Summary of Gradual Divergence For Seamless Adaptation: a Novel Domain Incremental Learning Method, by Kishaan Jeeveswaran et al.
Summary of Preference Tuning For Toxicity Mitigation Generalizes Across Languages, by Xiaochen Li et al.
Summary of An Optimal Tightness Bound For the Simulation Lemma, by Sam Lobel and Ronald Parr
Summary of Position: Benchmarking Is Limited in Reinforcement Learning Research, by Scott M. Jordan et al.
Summary of Graph-augmented Llms For Personalized Health Insights: a Case Study in Sleep Analysis, by Ajan Subramanian et al.
Summary of Confidence Regulation Neurons in Language Models, by Alessandro Stolfo et al.