Paper List

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Summary of Overcoming Catastrophic Forgetting in Federated Class-incremental Learning Via Federated Global Twin Generator, by Thinh Nguyen et al.
Summary of Generating In-store Customer Journeys From Scratch with Gpt Architectures, by Taizo Horikomi (1) et al.
Summary of Imbalanced Graph-level Anomaly Detection Via Counterfactual Augmentation and Feature Learning, by Zitong Wang et al.
Summary of Direct-inverse Prompting: Analyzing Llms’ Discriminative Capacity in Self-improving Generation, by Jihyun Janice Ahn et al.
Summary of Backdoor Graph Condensation, by Jiahao Wu and Ning Lu and Zeiyu Dai and Wenqi Fan and Shengcai Liu and Qing Li and Ke Tang
Summary of Precise and Efficient Orbit Prediction in Leo with Machine Learning Using Exogenous Variables, by Francisco Caldas et al.
Summary of A Robust Three-way Classifier with Shadowed Granular-balls Based on Justifiable Granularity, by Jie Yang et al.
Summary of A Geometric Framework For Adversarial Vulnerability in Machine Learning, by Brian Bell
Summary of Dlo: Dynamic Layer Operation For Efficient Vertical Scaling Of Llms, by Zhen Tan et al.
Summary of Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-hidden-layer Case, by Hanxiao Lu et al.
Summary of Hadamard Adapter: An Extreme Parameter-efficient Adapter Tuning Method For Pre-trained Language Models, by Yuyan Chen et al.
Summary of Bridging Data Gaps in Healthcare: a Scoping Review Of Transfer Learning in Biomedical Data Analysis, by Siqi Li et al.
Summary of Fuzzy Recurrent Stochastic Configuration Networks For Industrial Data Analytics, by Dianhui Wang and Gang Dang
Summary of Isquant: Apply Squant to the Real Deployment, by Dezan Zhao
Summary of High-quality and Full Bandwidth Seismic Signal Synthesis Using Operational Gans, by Ozer Can Devecioglu et al.
Summary of Balancing Immediate Revenue and Future Off-policy Evaluation in Coupon Allocation, by Naoki Nishimura et al.
Summary of Integer-only Quantized Transformers For Embedded Fpga-based Time-series Forecasting in Aiot, by Tianheng Ling et al.
Summary of An Automated Approach to Collecting and Labeling Time Series Data For Event Detection Using Elastic Node Hardware, by Tianheng Ling et al.
Summary of A Review Of Ai and Machine Learning Contribution in Predictive Business Process Management (process Enhancement and Process Improvement Approaches), by Mostafa Abbasi et al.
Summary of Generalizing Soft Actor-critic Algorithms to Discrete Action Spaces, by Le Zhang et al.
Summary of A Survey on Lora Of Large Language Models, by Yuren Mao et al.
Summary of Learning by the F-adjoint, By Ahmed Boughammoura
Summary of An Open Source Multi-agent Deep Reinforcement Learning Routing Simulator For Satellite Networks, by Federico Lozano-cuadra et al.
Summary of No Train, All Gain: Self-supervised Gradients Improve Deep Frozen Representations, by Walter Simoncini et al.
Summary of Because: Bilinear Causal Representation For Generalizable Offline Model-based Reinforcement Learning, by Haohong Lin et al.
Summary of Q-sparse: All Large Language Models Can Be Fully Sparsely-activated, by Hongyu Wang et al.
Summary of Walking the Values in Bayesian Inverse Reinforcement Learning, by Ondrej Bajgar et al.
Summary of Vgbench: Evaluating Large Language Models on Vector Graphics Understanding and Generation, by Bocheng Zou et al.
Summary of Circuitsynth: Leveraging Large Language Models For Circuit Topology Synthesis, by Prashanth Vijayaraghavan et al.
Summary of Residual Resampling-based Physics-informed Neural Network For Neutron Diffusion Equations, by Heng Zhang et al.
Summary of Panza: Design and Analysis Of a Fully-local Personalized Text Writing Assistant, by Armand Nicolicioiu et al.
Summary of Classification Of Geological Borehole Descriptions Using a Domain Adapted Large Language Model, by Hossein Ghorbanfekr et al.
Summary of Generative Ai Systems: a Systems-based Perspective on Generative Ai, by Jakub M. Tomczak
Summary of Moesd: Mixture Of Experts Stable Diffusion to Mitigate Gender Bias, by Guorun Wang et al.
Summary of Discrete Diffusion Language Model For Efficient Text Summarization, by Do Huu Dat et al.
Summary of Using Large Language Models in Public Transit Systems, San Antonio As a Case Study, by Ramya Jonnala et al.
Summary of The Alchemist: Automated Labeling 500x Cheaper Than Llm Data Annotators, by Tzu-heng Huang et al.
Summary of Chared: Character-wise Ensemble Decoding For Large Language Models, by Kevin Gu et al.
Summary of Evaluating the Efficacy Of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-tuning Decision-making, by Oluyemi Enoch Amujo and Shanchieh Jay Yang
Summary of Navigating the Minefield Of Mt Beam Search in Cascaded Streaming Speech Translation, by Rastislav Rabatin et al.
Summary of Quantum-tunnelling Deep Neural Network For Optical Illusion Recognition, by Ivan S. Maksymov
Summary of Exploring Gender-specific Speech Patterns in Automatic Suicide Risk Assessment, by Maurice Gerczuk et al.
Summary of Longlamp: a Benchmark For Personalized Long-form Text Generation, by Ishita Kumar et al.
Summary of Adaptable: Test-time Adaptation For Tabular Data Via Shift-aware Uncertainty Calibrator and Label Distribution Handler, by Changhun Kim et al.
Summary of Motion-prior Contrast Maximization For Dense Continuous-time Motion Estimation, by Friedhelm Hamann et al.
Summary of Dino Pre-training For Vision-based End-to-end Autonomous Driving, by Shubham Juneja et al.
Summary of Foundational Autoraters: Taming Large Language Models For Better Automatic Evaluation, by Tu Vu et al.
Summary of Fabgpt: An Efficient Large Multimodal Model For Complex Wafer Defect Knowledge Queries, by Yuqi Jiang et al.
Summary of Wicked Oddities: Selectively Poisoning For Effective Clean-label Backdoor Attacks, by Quang H. Nguyen et al.
Summary of Llm Circuit Analyses Are Consistent Across Training and Scale, by Curt Tigges et al.
Summary of Metallm: a High-performant and Cost-efficient Dynamic Framework For Wrapping Llms, by Quang H. Nguyen et al.
Summary of Data-guided Physics-informed Neural Networks For Solving Inverse Problems in Partial Differential Equations, by Wei Zhou et al.
Summary of Offline Reinforcement Learning with Imputed Rewards, by Carlo Romeo and Andrew D. Bagdanov
Summary of Improved Uncertainty Estimation Of Graph Neural Network Potentials Using Engineered Latent Space Distances, by Joseph Musielewicz et al.
Summary of Principal Component Flow Map Learning Of Pdes From Incomplete, Limited, and Noisy Data, by Victor Churchill
Summary of Deep Causal Learning to Explain and Quantify the Geo-tension’s Impact on Natural Gas Market, by Philipp Kai Peter et al.
Summary of Gpt Sonograpy: Hand Gesture Decoding From Forearm Ultrasound Images Via Vlm, by Keshav Bimbraw et al.
Summary of Datadream: Few-shot Guided Dataset Generation, by Jae Myung Kim et al.
Summary of Fine-tuning and Prompt Optimization: Two Great Steps That Work Better Together, by Dilara Soylu et al.
Summary of When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods, by Junhong Lin et al.
Summary of Enhancing Stochastic Optimization For Statistical Efficiency Using Root-sgd with Diminishing Stepsize, by Chris Junchi Li
Summary of Representing Rule-based Chatbots with Transformers, by Dan Friedman et al.
Summary of Fast Matrix Multiplications For Lookup Table-quantized Llms, by Han Guo et al.
Summary of Improving Hyperbolic Representations Via Gromov-wasserstein Regularization, by Yifei Yang et al.
Summary of Contexture: Consistent Multiview Images to Texture, by Jaehoon Ahn et al.
Summary of Three Dogmas Of Reinforcement Learning, by David Abel et al.
Summary of Arena Learning: Build Data Flywheel For Llms Post-training Via Simulated Chatbot Arena, by Haipeng Luo et al.
Summary of Balancing the Scales: Reinforcement Learning For Fair Classification, by Leon Eshuijs et al.
Summary of Evaluating Model Bias Requires Characterizing Its Mistakes, by Isabela Albuquerque et al.
Summary of Deep Diffusion Image Prior For Efficient Ood Adaptation in 3d Inverse Problems, by Hyungjin Chung et al.
Summary of Cutting Through the Clutter: the Potential Of Llms For Efficient Filtration in Systematic Literature Reviews, by Lucas Joos et al.
Summary of Geomix: Towards Geometry-aware Data Augmentation, by Wentao Zhao et al.
Summary of Flow Perturbation to Accelerate Unbiased Sampling Of Boltzmann Distribution, by Xin Peng and Ang Gao
Summary of Probability Passing For Graph Neural Networks: Graph Structure and Representations Joint Learning, by Ziyan Wang et al.
Summary of On-device Training Of Fully Quantized Deep Neural Networks on Cortex-m Microcontrollers, by Mark Deutel et al.
Summary of Transforming Agency. on the Mode Of Existence Of Large Language Models, by Xabier E. Barandiaran and Lola S. Almendros
Summary of Continual Deep Learning on the Edge Via Stochastic Local Competition Among Subnetworks, by Theodoros Christophides and Kyriakos Tolias and Sotirios Chatzis
Summary of Physics-informed Machine Learning For Smart Additive Manufacturing, by Rahul Sharma et al.
Summary of Last-iterate Global Convergence Of Policy Gradients For Constrained Reinforcement Learning, by Alessandro Montenegro and Marco Mussi and Matteo Papini and Alberto Maria Metelli
Summary of Ismrnn: An Implicitly Segmented Rnn Method with Mamba For Long-term Time Series Forecasting, by Gaoxiang Zhao and Li Zhou and Xiaoqiang Wang
Summary of The Missing Link: Allocation Performance in Causal Machine Learning, by Unai Fischer-abaigar et al.
Summary of Correlations Are Ruining Your Gradient Descent, by Nasir Ahmad
Summary of Grapheval: a Knowledge-graph Based Llm Hallucination Evaluation Framework, by Hannah Sansford et al.
Summary of Disrupting Diffusion-based Inpainters with Semantic Digression, by Geonho Son et al.
Summary of Order Parameters and Phase Transitions Of Continual Learning in Deep Neural Networks, by Haozhe Shan et al.
Summary of Learning Unlabeled Clients Divergence For Federated Semi-supervised Learning Via Anchor Model Aggregation, by Marawan Elbatel et al.
Summary of An Interpretable Neural Network For Vegetation Phenotyping with Visualization Of Trait-based Spectral Features, by William Basener et al.
Summary of Towards Adapting Reinforcement Learning Agents to New Tasks: Insights From Q-values, by Ashwin Ramaswamy and Ransalu Senanayake
Summary of Accessing Vision Foundation Models Via Imagenet-1k, by Yitian Zhang et al.
Summary of by My Eyes: Grounding Multimodal Large Language Models with Sensor Data Via Visual Prompting, By Hyungjun Yoon et al.
Summary of Omni-dimensional Frequency Learner For General Time Series Analysis, by Xianing Chen et al.
Summary of Proper Losses Regret at Least 1/2-order, by Han Bao et al.
Summary of Enhancing Building Safety Design For Active Shooter Incidents: Exploration Of Building Exit Parameters Using Reinforcement Learning-based Simulations, by Ruying Liu et al.
Summary of Spectral Representation For Causal Estimation with Hidden Confounders, by Haotian Sun et al.
Summary of Graphprint: Extracting Features From 3d Protein Structure For Drug Target Affinity Prediction, by Amritpal Singh
Summary of A Fast, Robust Elliptical Slice Sampling Implementation For Linearly Truncated Multivariate Normal Distributions, by Kaiwen Wu and Jacob R. Gardner
Summary of G-pcgrl: Procedural Graph Data Generation Via Reinforcement Learning, by Florian Rupp et al.
Summary of Deflated Dynamics Value Iteration, by Jongmin Lee et al.
Summary of Superpadl: Scaling Language-directed Physics-based Control with Progressive Supervised Distillation, by Jordan Juravsky et al.
Summary of Learning Dynamics Of Llm Finetuning, by Yi Ren et al.