Paper List

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Summary of Acer: Automatic Language Model Context Extension Via Retrieval, by Luyu Gao et al.
Summary of On Discriminative Probabilistic Modeling For Self-supervised Representation Learning, by Bokun Wang and Yunwen Lei and Yiming Ying and Tianbao Yang
Summary of L3cube-mahasum: a Comprehensive Dataset and Bart Models For Abstractive Text Summarization in Marathi, by Pranita Deshmukh et al.
Summary of On the Adversarial Transferability Of Generalized “skip Connections”, by Yisen Wang et al.
Summary of Lifted Coefficient Of Determination: Fast Model-free Prediction Intervals and Likelihood-free Model Comparison, by Daniel Salnikov and Kevin Michalewicz and Dan Leonte
Summary of Learning Representations Of Instruments For Partial Identification Of Treatment Effects, by Jonas Schweisthal et al.
Summary of Alvin: Active Learning Via Interpolation, by Michalis Korakakis et al.
Summary of Overcoming Slow Decision Frequencies in Continuous Control: Model-based Sequence Reinforcement Learning For Model-free Control, by Devdhar Patel et al.
Summary of Del: Discrete Element Learner For Learning 3d Particle Dynamics with Neural Rendering, by Jiaxu Wang et al.
Summary of Zeroth-order Fine-tuning Of Llms in Random Subspaces, by Ziming Yu et al.
Summary of Optimal Downsampling For Imbalanced Classification with Generalized Linear Models, by Yan Chen et al.
Summary of Science Is Exploration: Computational Frontiers For Conceptual Metaphor Theory, by Rebecca M. M. Hicke et al.
Summary of Parameter-efficient Fine-tuning Of State Space Models, by Kevin Galim et al.
Summary of Hierarchical Universal Value Function Approximators, by Rushiv Arora
Summary of Analyzing Neural Scaling Laws in Two-layer Networks with Power-law Data Spectra, by Roman Worschech and Bernd Rosenow
Summary of Alberta Wells Dataset: Pinpointing Oil and Gas Wells From Satellite Imagery, by Pratinav Seth et al.
Summary of Agentharm: a Benchmark For Measuring Harmfulness Of Llm Agents, by Maksym Andriushchenko et al.
Summary of Linear Convergence Of Diffusion Models Under the Manifold Hypothesis, by Peter Potaptchik et al.
Summary of Unraveling and Mitigating Safety Alignment Degradation Of Vision-language Models, by Qin Liu et al.
Summary of Ai Versus Ai in Financial Crimes and Detection: Genai Crime Waves to Co-evolutionary Ai, by Eren Kurshan et al.
Summary of Modeling and Prediction Of the Uefa Euro 2024 Via Combined Statistical Learning Approaches, by Andreas Groll et al.
Summary of Leveraging Social Determinants Of Health in Alzheimer’s Research Using Llm-augmented Literature Mining and Knowledge Graphs, by Tianqi Shang et al.
Summary of Bipeft: Budget-guided Iterative Search For Parameter Efficient Fine-tuning Of Large Pretrained Language Models, by Aofei Chang et al.
Summary of Improved Sample Complexity For Global Convergence Of Actor-critic Algorithms, by Navdeep Kumar et al.
Summary of Evolution Of Sae Features Across Layers in Llms, by Daniel Balcells et al.
Summary of Can We Hop in General? a Discussion Of Benchmark Selection and Design Using the Hopper Environment, by Claas a Voelcker et al.
Summary of Fragile Giants: Understanding the Susceptibility Of Models to Subpopulation Attacks, by Isha Gupta et al.
Summary of Interdependency Matters: Graph Alignment For Multivariate Time Series Anomaly Detection, by Yuanyi Wang et al.
Summary of Bank Loan Prediction Using Machine Learning Techniques, by F M Ahosanul Haque et al.
Summary of Mad-td: Model-augmented Data Stabilizes High Update Ratio Rl, by Claas a Voelcker et al.
Summary of Federated Learning in Practice: Reflections and Projections, by Katharine Daly et al.
Summary of Drama: Mamba-enabled Model-based Reinforcement Learning Is Sample and Parameter Efficient, by Wenlong Wang et al.
Summary of Low-dimension-to-high-dimension Generalization and Its Implications For Length Generalization, by Yang Chen et al.
Summary of An End-to-end Deep Learning Method For Solving Nonlocal Allen-cahn and Cahn-hilliard Phase-field Models, by Yuwei Geng et al.
Summary of Path-minimizing Latent Odes For Improved Extrapolation and Inference, by Matt L. Sampson et al.
Summary of Efficient Hyperparameter Importance Assessment For Cnns, by Ruinan Wang et al.
Summary of Diffpo: a Causal Diffusion Model For Learning Distributions Of Potential Outcomes, by Yuchen Ma et al.
Summary of An Overview Of Prototype Formulations For Interpretable Deep Learning, by Maximilian Xiling Li et al.
Summary of Towards Multilingual Llm Evaluation For European Languages, by Klaudia Thellmann et al.
Summary of Enhancing Motion Variation in Text-to-motion Models Via Pose and Video Conditioned Editing, by Clayton Leite and Yu Xiao
Summary of The Effect Of Personalization in Fedprox: a Fine-grained Analysis on Statistical Accuracy and Communication Efficiency, by Xin Yu et al.
Summary of Maximizing the Potential Of Synthetic Data: Insights From Random Matrix Theory, by Aymane El Firdoussi et al.
Summary of Meta-transfer Learning Empowered Temporal Graph Networks For Cross-city Real Estate Appraisal, by Weijia Zhang et al.
Summary of Losing Dimensions: Geometric Memorization in Generative Diffusion, by Beatrice Achilli et al.
Summary of Gradients Stand-in For Defending Deep Leakage in Federated Learning, by H. Yi et al.
Summary of Zero-shot Offline Imitation Learning Via Optimal Transport, by Thomas Rupf et al.
Summary of Enhancing Gnns with Architecture-agnostic Graph Transformations: a Systematic Analysis, by Zhifei Li et al.
Summary of Unlocking Fednl: Self-contained Compute-optimized Implementation, by Konstantin Burlachenko et al.
Summary of Causal Machine Learning For Predicting Treatment Outcomes, by Stefan Feuerriegel and Dennis Frauen and Valentyn Melnychuk and Jonas Schweisthal and Konstantin Hess and Alicia Curth and Stefan Bauer and Niki Kilbertus and Isaac S. Kohane and Mihaela Van Der Schaar
Summary of Efficient Differentiable Discovery Of Causal Order, by Mathieu Chevalley et al.
Summary of Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework, by Rohan Alur et al.
Summary of Superpipeline: a Universal Approach For Reducing Gpu Memory Usage in Large Models, by Reza Abbasi et al.
Summary of Batched Energy-entropy Acquisition For Bayesian Optimization, by Felix Teufel et al.
Summary of Calibrated Computation-aware Gaussian Processes, by Disha Hegde et al.
Summary of Don’t Transform the Code, Code the Transforms: Towards Precise Code Rewriting Using Llms, by Chris Cummins et al.
Summary of Uncertainty-aware Optimal Treatment Selection For Clinical Time Series, by Thomas Schwarz et al.
Summary of Do Unlearning Methods Remove Information From Language Model Weights?, by Aghyad Deeb et al.
Summary of Sold: Slot Object-centric Latent Dynamics Models For Relational Manipulation Learning From Pixels, by Malte Mosbach et al.
Summary of Unveiling Molecular Secrets: An Llm-augmented Linear Model For Explainable and Calibratable Molecular Property Prediction, by Zhuoran Li et al.
Summary of Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization, by Noam Razin et al.
Summary of A Physics-guided Neural Network For Flooding Area Detection Using Sar Imagery and Local River Gauge Observations, by Monika Gierszewska et al.
Summary of Prediction by Machine Learning Analysis Of Genomic Data Phenotypic Frost Tolerance in Perccottus Glenii, By Lilin Fan et al.
Summary of Hybrid Llm-ddqn Based Joint Optimization Of V2i Communication and Autonomous Driving, by Zijiang Yan et al.
Summary of Retraining-free Merging Of Sparse Moe Via Hierarchical Clustering, by I-chun Chen et al.
Summary of Text-to-image with Generative Adversarial Networks, by Mehrshad Momen-tayefeh
Summary of Towards Cross-domain Few-shot Graph Anomaly Detection, by Jiazhen Chen et al.
Summary of Synth-sonar: Sonar Image Synthesis with Enhanced Diversity and Realism Via Dual Diffusion Models and Gpt Prompting, by Purushothaman Natarajan et al.
Summary of Words As Beacons: Guiding Rl Agents with High-level Language Prompts, by Unai Ruiz-gonzalez et al.
Summary of Gai-enabled Explainable Personalized Federated Semi-supervised Learning, by Yubo Peng et al.
Summary of Transformers Provably Solve Parity Efficiently with Chain Of Thought, by Juno Kim and Taiji Suzuki
Summary of Efficient Line Search For Optimizing Area Under the Roc Curve in Gradient Descent, by Jadon Fowler and Toby Dylan Hocking
Summary of Multi-source Temporal Attention Network For Precipitation Nowcasting, by Rafael Pablos Sarabia et al.
Summary of Soak: Same/other/all K-fold Cross-validation For Estimating Similarity Of Patterns in Data Subsets, by Toby Dylan Hocking et al.
Summary of Edge Ai Collaborative Learning: Bayesian Approaches to Uncertainty Estimation, by Gleb Radchenko et al.
Summary of Carefully Structured Compression: Efficiently Managing Starcraft Ii Data, by Bryce Ferenczi et al.
Summary of Finite Sample Complexity Analysis Of Binary Segmentation, by Toby Dylan Hocking
Summary of Qeft: Quantization For Efficient Fine-tuning Of Llms, by Changhun Lee et al.
Summary of Deltadq: Ultra-high Delta Compression For Fine-tuned Llms Via Group-wise Dropout and Separate Quantization, by Yanfeng Jiang et al.
Summary of Distdd: Distributed Data Distillation Aggregation Through Gradient Matching, by Peiran Wang et al.
Summary of Efficiently Scanning and Resampling Spatio-temporal Tasks with Irregular Observations, by Bryce Ferenczi et al.
Summary of Uncertainty Estimation and Out-of-distribution Detection For Lidar Scene Semantic Segmentation, by Hanieh Shojaei et al.
Summary of Distillation Of Discrete Diffusion Through Dimensional Correlations, by Satoshi Hayakawa et al.
Summary of Preferential Normalizing Flows, by Petrus Mikkola et al.
Summary of Why Pre-training Is Beneficial For Downstream Classification Tasks?, by Xin Jiang et al.
Summary of Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both, by Abhijnan Nath et al.
Summary of Semantic Token Reweighting For Interpretable and Controllable Text Embeddings in Clip, by Eunji Kim et al.
Summary of On a Hidden Property in Computational Imaging, by Yinan Feng et al.
Summary of Towards Sharper Risk Bounds For Minimax Problems, by Bowei Zhu et al.
Summary of Deeper Insights Into Deep Graph Convolutional Networks: Stability and Generalization, by Guangrui Yang et al.
Summary of Adversarial Training Can Provably Improve Robustness: Theoretical Analysis Of Feature Learning Process Under Structured Data, by Binghui Li et al.
Summary of Distributionally Robust Self-supervised Learning For Tabular Data, by Shantanu Ghosh et al.
Summary of Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approach, by Duraimurugan Rajamanickam
Summary of Evaluating the Effects Of Data Sparsity on the Link-level Bicycling Volume Estimation: a Graph Convolutional Neural Network Approach, by Mohit Gupta et al.
Summary of Scaling Laws For Predicting Downstream Performance in Llms, by Yangyi Chen et al.
Summary of Ignn-solver: a Graph Neural Solver For Implicit Graph Neural Networks, by Junchao Lin et al.
Summary of Robust Offline Policy Learning with Observational Data From Multiple Sources, by Aldo Gael Carranza et al.
Summary of Kaleidoscope: Learnable Masks For Heterogeneous Multi-agent Reinforcement Learning, by Xinran Li et al.
Summary of Score Neural Operator: a Generative Model For Learning and Generalizing Across Multiple Probability Distributions, by Xinyu Liao et al.
Summary of Learning General Representation Of 12-lead Electrocardiogram with a Joint-embedding Predictive Architecture, by Sehun Kim
Summary of Similar Phrases For Cause Of Actions Of Civil Cases, by Ho-chien Huang and Chao-lin Liu