Paper List

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Summary of Learning High-frequency Functions Made Easy with Sinusoidal Positional Encoding, by Chuanhao Sun et al.
Summary of Hippo-prophecy: State-space Models Can Provably Learn Dynamical Systems in Context, by Federico Arangath Joseph et al.
Summary of Graph Neural Network Causal Explanation Via Neural Causal Models, by Arman Behnam et al.
Summary of Lite-sam Is Actually What You Need For Segment Everything, by Jianhai Fu et al.
Summary of Lapt: Label-driven Automated Prompt Tuning For Ood Detection with Vision-language Models, by Yabin Zhang et al.
Summary of Integrating White and Black Box Techniques For Interpretable Machine Learning, by Eric M. Vernon et al.
Summary of Computational-statistical Trade-off in Kernel Two-sample Testing with Random Fourier Features, by Ikjun Choi and Ilmun Kim
Summary of Towards Chapter-to-chapter Context-aware Literary Translation Via Large Language Models, by Linghao Jin et al.
Summary of One Stone, Four Birds: a Comprehensive Solution For Qa System Using Supervised Contrastive Learning, by Bo Wang et al.
Summary of Procedural Content Generation Via Generative Artificial Intelligence, by Xinyu Mao et al.
Summary of Ai-driven Guided Response For Security Operation Centers with Microsoft Copilot For Security, by Scott Freitas et al.
Summary of Aligning Diffusion Behaviors with Q-functions For Efficient Continuous Control, by Huayu Chen et al.
Summary of Hpc: Hierarchical Progressive Coding Framework For Volumetric Video, by Zihan Zheng et al.
Summary of Spectral Self-supervised Feature Selection, by Daniel Segal et al.
Summary of On the Role Of Discrete Tokenization in Visual Representation Learning, by Tianqi Du et al.
Summary of Std-plm: Understanding Both Spatial and Temporal Properties Of Spatial-temporal Data with Plm, by Yiheng Huang et al.
Summary of On Exact Bit-level Reversible Transformers Without Changing Architectures, by Guoqiang Zhang and J.p. Lewis and W. B. Kleijn
Summary of Enhancing Training Efficiency Using Packing with Flash Attention, by Achintya Kundu et al.
Summary of Urrl-imvc: Unified and Robust Representation Learning For Incomplete Multi-view Clustering, by Ge Teng et al.
Summary of Decentralized Multi-agent Reinforcement Learning Algorithm Using a Cluster-synchronized Laser Network, by Shun Kotoku et al.
Summary of Robustness Of Explainable Artificial Intelligence in Industrial Process Modelling, by Benedikt Kantz et al.
Summary of Stepwise Verification and Remediation Of Student Reasoning Errors with Large Language Model Tutors, by Nico Daheim et al.
Summary of Accuracy Is Not All You Need, by Abhinav Dutta et al.
Summary of Local Clustering For Lung Cancer Image Classification Via Sparse Solution Technique, by Jackson Hamel et al.
Summary of Pid Accelerated Temporal Difference Algorithms, by Mark Bedaywi et al.
Summary of Proving That Cryptic Crossword Clue Answers Are Correct, by Martin Andrews et al.
Summary of Ho-fmn: Hyperparameter Optimization For Fast Minimum-norm Attacks, by Raffaele Mura et al.
Summary of Deep Learning For Network Anomaly Detection Under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation, by D’jeff K. Nkashama et al.
Summary of Generalizable Physics-informed Learning For Stochastic Safety-critical Systems, by Zhuoyuan Wang et al.
Summary of Inflationary Flows: Calibrated Bayesian Inference with Diffusion-based Models, by Daniela De Albuquerque and John Pearson
Summary of Semi-supervised Multi-task Learning Based Framework For Power System Security Assessment, by Muhy Eddin Za’ter et al.
Summary of Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and Urls, By Andrey Yakymovych et al.
Summary of Automatic Pruning Of Fine-tuning Datasets For Transformer-based Language Models, by Mohammadreza Tayaranian et al.
Summary of Characterizing Prompt Compression Methods For Long Context Inference, by Siddharth Jha et al.
Summary of Idat: a Multi-modal Dataset and Toolkit For Building and Evaluating Interactive Task-solving Agents, by Shrestha Mohanty et al.
Summary of Pail: Performance Based Adversarial Imitation Learning Engine For Carbon Neutral Optimization, by Yuyang Ye et al.
Summary of Leveraging Large Language Models For Nano Synthesis Mechanism Explanation: Solid Foundations or Mere Conjectures?, by Yingming Pu et al.
Summary of Transforming Movie Recommendations with Advanced Machine Learning: a Study Of Nmf, Svd,and K-means Clustering, by Yubing Yan et al.
Summary of Machine Learning in High Volume Media Manufacturing, by Siddarth Reddy Karuka et al.
Summary of Compositional Structures in Neural Embedding and Interaction Decompositions, by Matthew Trager et al.
Summary of Your Diffusion Model Is Secretly a Noise Classifier and Benefits From Contrastive Training, by Yunshu Wu et al.
Summary of Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort, by Jeeyung Kim et al.
Summary of Communication-aware Reinforcement Learning For Cooperative Adaptive Cruise Control, by Sicong Jiang et al.
Summary of A Review Of Nine Physics Engines For Reinforcement Learning Research, by Michael Kaup et al.
Summary of Surpassing Cosine Similarity For Multidimensional Comparisons: Dimension Insensitive Euclidean Metric, by Federico Tessari et al.
Summary of Flashattention-3: Fast and Accurate Attention with Asynchrony and Low-precision, by Jay Shah et al.
Summary of Robomorph: Evolving Robot Morphology Using Large Language Models, by Kevin Qiu et al.
Summary of Generalization Error Matters in Decentralized Learning Under Byzantine Attacks, by Haoxiang Ye and Qing Ling
Summary of How More Data Can Hurt: Instability and Regularization in Next-generation Reservoir Computing, by Yuanzhao Zhang et al.
Summary of Adaptive Smooth Non-stationary Bandits, by Joe Suk
Summary of Controlling the Fidelity and Diversity Of Deep Generative Models Via Pseudo Density, by Shuangqi Li et al.
Summary of How to Beat a Bayesian Adversary, by Zihan Ding et al.
Summary of Operationalizing the Blueprint For An Ai Bill Of Rights: Recommendations For Practitioners, Researchers, and Policy Makers, by Alex Oesterling et al.
Summary of Mitigating Catastrophic Forgetting in Language Transfer Via Model Merging, by Anton Alexandrov et al.
Summary of Extracting Training Data From Document-based Vqa Models, by Francesco Pinto et al.
Summary of Topological Generalization Bounds For Discrete-time Stochastic Optimization Algorithms, by Rayna Andreeva et al.
Summary of Sensor-aware Classifiers For Energy-efficient Time Series Applications on Iot Devices, by Dina Hussein et al.
Summary of Biequiformer: Bi-equivariant Representations For Global Point Cloud Registration, by Stefanos Pertigkiozoglou et al.
Summary of Transformer Circuit Faithfulness Metrics Are Not Robust, by Joseph Miller et al.
Summary of Video Diffusion Alignment Via Reward Gradients, by Mihir Prabhudesai and Russell Mendonca and Zheyang Qin and Katerina Fragkiadaki and Deepak Pathak
Summary of Online Distributional Regression, by Simon Hirsch et al.
Summary of Credit Card Fraud Detection in the Nigerian Financial Sector: a Comparison Of Unsupervised Tensorflow-based Anomaly Detection Techniques, Autoencoders and Pca Algorithm, by Jennifer Onyeama
Summary of Approximating G(t)/gi/1 Queues with Deep Learning, by Eliran Sherzer et al.
Summary of Fedlog: Personalized Federated Classification with Less Communication and More Flexibility, by Haolin Yu et al.
Summary of Slrl: Structured Latent Representation Learning For Multi-view Clustering, by Zhangci Xiong et al.
Summary of Skywork-math: Data Scaling Laws For Mathematical Reasoning in Large Language Models — the Story Goes On, by Liang Zeng et al.
Summary of Scalar Function Topology Divergence: Comparing Topology Of 3d Objects, by Ilya Trofimov et al.
Summary of Autobencher: Towards Declarative Benchmark Construction, by Xiang Lisa Li et al.
Summary of Parallelizing Autoregressive Generation with Variational State Space Models, by Gaspard Lambrechts et al.
Summary of Subgroup-specific Risk-controlled Dose Estimation in Radiotherapy, by Paul Fischer et al.
Summary of Predbench: Benchmarking Spatio-temporal Prediction Across Diverse Disciplines, by Zidong Wang and Zeyu Lu and Di Huang and Tong He and Xihui Liu and Wanli Ouyang and Lei Bai
Summary of Improve Load Forecasting in Energy Communities Through Transfer Learning Using Open-access Synthetic Profiles, by Lukas Moosbrugger et al.
Summary of How Deep Is Your Guess? a Fresh Perspective on Deep Learning For Medical Time-series Imputation, by Linglong Qian et al.
Summary of Distributed Deep Reinforcement Learning Based Gradient Quantization For Federated Learning Enabled Vehicle Edge Computing, by Cui Zhang et al.
Summary of Joint Optimization Of Age Of Information and Energy Consumption in Nr-v2x System Based on Deep Reinforcement Learning, by Shulin Song et al.
Summary of Tldr: Unsupervised Goal-conditioned Rl Via Temporal Distance-aware Representations, by Junik Bae and Kwanyoung Park and Youngwoon Lee
Summary of Robust Generalization Of Graph Neural Networks For Carrier Scheduling, by Daniel F. Perez-ramirez et al.
Summary of Latent Conditional Diffusion-based Data Augmentation For Continuous-time Dynamic Graph Model, by Yuxing Tian and Yiyan Qi and Aiwen Jiang and Qi Huang and Jian Guo
Summary of Quantitative Evaluation Of the Saliency Map For Alzheimer’s Disease Classifier with Anatomical Segmentation, by Yihan Zhang et al.
Summary of Causal Inference Through Multi-stage Learning and Doubly Robust Deep Neural Networks, by Yuqian Zhang and Jelena Bradic
Summary of Adaptive Parametric Activation, by Konstantinos Panagiotis Alexandridis et al.
Summary of Multi-group Proportional Representation in Retrieval, by Alex Oesterling et al.
Summary of The Synergy Between Data and Multi-modal Large Language Models: a Survey From Co-development Perspective, by Zhen Qin et al.
Summary of Cogs: Causality Constrained Counterfactual Explanations Using Goal-directed Asp, by Sopam Dasgupta et al.
Summary of Position: Measure Dataset Diversity, Don’t Just Claim It, by Dora Zhao et al.
Summary of Dall-m: Context-aware Clinical Data Augmentation with Llms, by Chihcheng Hsieh et al.
Summary of Dynamic Co-optimization Compiler: Leveraging Multi-agent Reinforcement Learning For Enhanced Dnn Accelerator Performance, by Arya Fayyazi et al.
Summary of Towards Stable Training Of Parallel Continual Learning, by Li Yuepan et al.
Summary of Enhancing Performance and User Engagement in Everyday Stress Monitoring: a Context-aware Active Reinforcement Learning Approach, by Seyed Amir Hossein Aqajari et al.
Summary of Differentially Private Neural Network Training Under Hidden State Assumption, by Ding Chen et al.
Summary of Swishrelu: a Unified Approach to Activation Functions For Enhanced Deep Neural Networks Performance, by Jamshaid Ul Rahman et al.
Summary of Gradient Boosting Reinforcement Learning, by Benjamin Fuhrer et al.
Summary of Feature Diversification and Adaptation For Federated Domain Generalization, by Seunghan Yang et al.
Summary of Graphmamba: An Efficient Graph Structure Learning Vision Mamba For Hyperspectral Image Classification, by Aitao Yang et al.
Summary of Explainability Of Sub-field Level Crop Yield Prediction Using Remote Sensing, by Hiba Najjar et al.
Summary of Knowledge Distillation to Effectively Attain Both Region-of-interest and Global Semantics From An Image Where Multiple Objects Appear, by Seonwhee Jin
Summary of Predicting Heart Failure with Attention Learning Techniques Utilizing Cardiovascular Data, by Ershadul Haque et al.
Summary of Xai-guided Enhancement Of Vegetation Indices For Crop Mapping, by Hiba Najjar et al.
Summary of Q-galore: Quantized Galore with Int4 Projection and Layer-adaptive Low-rank Gradients, by Zhenyu Zhang et al.
Summary of Improving Molecular Modeling with Geometric Gnns: An Empirical Study, by Ali Ramlaoui et al.