Paper List

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Summary of Flops: Forward Learning with Optimal Sampling, by Tao Ren et al.
Summary of Pyramidal Flow Matching For Efficient Video Generative Modeling, by Yang Jin et al.
Summary of Conml: a Universal Meta-learning Framework with Task-level Contrastive Learning, by Shiguang Wu et al.
Summary of Efficient Policy Evaluation with Safety Constraint For Reinforcement Learning, by Claire Chen et al.
Summary of Scaling Laws Across Model Architectures: a Comparative Analysis Of Dense and Moe Models in Large Language Models, by Siqi Wang et al.
Summary of Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation Via Initial Model Construction, by Zhan-lun Chang et al.
Summary of Holistic Unlearning Benchmark: a Multi-faceted Evaluation For Text-to-image Diffusion Model Unlearning, by Saemi Moon et al.
Summary of Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding, by Xihan Qin et al.
Summary of Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning, by Lequan Lin et al.
Summary of Extreme Value Modelling Of Feature Residuals For Anomaly Detection in Dynamic Graphs, by Sevvandi Kandanaarachchi et al.
Summary of Network Topology Inference From Smooth Signals Under Partial Observability, by Chuansen Peng et al.
Summary of Timedart: a Diffusion Autoregressive Transformer For Self-supervised Time Series Representation, by Daoyu Wang et al.
Summary of Less Is More: Embracing Sparsity and Interpolation with Esiformer For Time Series Forecasting, by Yangyang Guo et al.
Summary of Enhancing Temporal Modeling Of Video Llms Via Time Gating, by Zi-yuan Hu et al.
Summary of Private and Communication-efficient Federated Learning Based on Differentially Private Sketches, by Meifan Zhang et al.
Summary of Diminishing Exploration: a Minimalist Approach to Piecewise Stationary Multi-armed Bandits, by Kuan-ta Li et al.
Summary of Exploring the Meaningfulness Of Nearest Neighbor Search in High-dimensional Space, by Zhonghan Chen et al.
Summary of Wolf2pack: the Autofusion Framework For Dynamic Parameter Fusion, by Bowen Tian et al.
Summary of Temperature Optimization For Bayesian Deep Learning, by Kenyon Ng et al.
Summary of Pathwise Gradient Variance Reduction with Control Variates in Variational Inference, by Kenyon Ng et al.
Summary of Song Emotion Classification Of Lyrics with Out-of-domain Data Under Label Scarcity, by Jonathan Sakunkoo and Annabella Sakunkoo
Summary of Training-free Diffusion Model Alignment with Sampling Demons, by Po-hung Yeh et al.
Summary of Reinforcement Learning From Imperfect Corrective Actions and Proxy Rewards, by Zhaohui Jiang et al.
Summary of Improved Deep Learning Of Chaotic Dynamical Systems with Multistep Penalty Losses, by Dibyajyoti Chakraborty et al.
Summary of Swift Sampler: Efficient Learning Of Sampler by 10 Parameters, By Jiawei Yao et al.
Summary of Negmerge: Consensual Weight Negation For Strong Machine Unlearning, by Hyoseo Kim et al.
Summary of Rethinking Reward Model Evaluation: Are We Barking Up the Wrong Tree?, by Xueru Wen et al.
Summary of Parallelspec: Parallel Drafter For Efficient Speculative Decoding, by Zilin Xiao et al.
Summary of When Graph Neural Networks Meet Dynamic Mode Decomposition, by Dai Shi et al.
Summary of Smart: a Flexible Approach to Regression Using Spline-based Multivariate Adaptive Regression Trees, by William Pattie et al.
Summary of Everything Everywhere All at Once: Llms Can In-context Learn Multiple Tasks in Superposition, by Zheyang Xiong et al.
Summary of Amortized Control Of Continuous State Space Feynman-kac Model For Irregular Time Series, by Byoungwoo Park et al.
Summary of The Breakdown Of Gaussian Universality in Classification Of High-dimensional Linear Factor Mixtures, by Xiaoyi Mai and Zhenyu Liao
Summary of Chain-of-thoughts For Molecular Understanding, by Yunhui Jang et al.
Summary of Remote Sensing Image Segmentation Using Vision Mamba and Multi-scale Multi-frequency Feature Fusion, by Yice Cao et al.
Summary of Leveraging Free Energy in Pretraining Model Selection For Improved Fine-tuning, by Michael Munn et al.
Summary of On the Impacts Of the Random Initialization in the Neural Tangent Kernel Theory, by Guhan Chen et al.
Summary of Time Series Classification Of Supraglacial Lakes Evolution Over Greenland Ice Sheet, by Emam Hossain et al.
Summary of Federated Neural Nonparametric Point Processes, by Hui Chen et al.
Summary of Score-based Variational Inference For Inverse Problems, by Zhipeng Xue et al.
Summary of Does Roberta Perform Better Than Bert in Continual Learning: An Attention Sink Perspective, by Xueying Bai et al.
Summary of Vibidsampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler, by Serin Yang et al.
Summary of Robust Transfer Learning For Active Level Set Estimation with Locally Adaptive Gaussian Process Prior, by Giang Ngo et al.
Summary of Dynamic Humtrans: Humming Transcription Using Cnns and Dynamic Programming, by Shubham Gupta and Isaac Neri Gomez-sarmiento and Faez Amjed Mezdari and Mirco Ravanelli and Cem Subakan
Summary of Testing Credibility Of Public and Private Surveys Through the Lens Of Regression, by Debabrota Basu et al.
Summary of From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-thought Enhances Transformer Sample Efficiency, by Kaiyue Wen et al.
Summary of Levattention: Time, Space, and Streaming Efficient Algorithm For Heavy Attentions, by Ravindran Kannan et al.
Summary of Progressive Distillation Induces An Implicit Curriculum, by Abhishek Panigrahi et al.
Summary of On the Expressive Power Of Tree-structured Probabilistic Circuits, by Lang Yin et al.
Summary of Fplsa: Learning Semantic Structures in Document Collections Using Foundation Models, by Weijia Xu et al.
Summary of Neural Networks Decoded: Targeted and Robust Analysis Of Neural Network Decisions Via Causal Explanations and Reasoning, by Alec F. Diallo et al.
Summary of Pre-ictal Seizure Prediction Using Personalized Deep Learning, by Shriya Jaddu et al.
Summary of Transformers Learn Variable-order Markov Chains In-context, by Ruida Zhou et al.
Summary of Unitary Convolutions For Learning on Graphs and Groups, by Bobak T. Kiani et al.
Summary of Residual Kolmogorov-arnold Network For Enhanced Deep Learning, by Ray Congrui Yu et al.
Summary of Structural Constraints For Physics-augmented Learning, by Simon Kuang and Xinfan Lin
Summary of Scalar Field Prediction on Meshes Using Interpolated Multi-resolution Convolutional Neural Networks, by Kevin Ferguson et al.
Summary of Dopl: Direct Online Preference Learning For Restless Bandits with Preference Feedback, by Guojun Xiong et al.
Summary of Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search, by Jakob Hartmann et al.
Summary of Aiding Global Convergence in Federated Learning Via Local Perturbation and Mutual Similarity Information, by Emanuel Buttaci et al.
Summary of Optimal Adaptive Experimental Design For Estimating Treatment Effect, by Jiachun Li et al.
Summary of Chain and Causal Attention For Efficient Entity Tracking, by Erwan Fagnou et al.
Summary of Unsupervised Representation Learning From Sparse Transformation Analysis, by Yue Song et al.
Summary of A Predictive and Optimization Approach For Enhanced Urban Mobility Using Spatiotemporal Data, by Shambhavi Mishra et al.
Summary of Model-glue: Democratized Llm Scaling For a Large Model Zoo in the Wild, by Xinyu Zhao et al.
Summary of Respllm: Unifying Audio and Text with Multimodal Llms For Generalized Respiratory Health Prediction, by Yuwei Zhang et al.
Summary of Llms Are In-context Bandit Reinforcement Learners, by Giovanni Monea et al.
Summary of Diffusion Model Predictive Control, by Guangyao Zhou et al.
Summary of Haste Makes Waste: a Simple Approach For Scaling Graph Neural Networks, by Rui Xue et al.
Summary of Improving Predictor Reliability with Selective Recalibration, by Thomas P. Zollo et al.
Summary of Refining Counterfactual Explanations with Joint-distribution-informed Shapley Towards Actionable Minimality, by Lei You et al.
Summary of Diffusion Imitation From Observation, by Bo-ruei Huang et al.
Summary of Designing a Classifier For Active Fire Detection From Multispectral Satellite Imagery Using Neural Architecture Search, by Amber Cassimon et al.
Summary of Continuous Ensemble Weather Forecasting with Diffusion Models, by Martin Andrae et al.
Summary of Daal: Density-aware Adaptive Line Margin Loss For Multi-modal Deep Metric Learning, by Hadush Hailu Gebrerufael et al.
Summary of Better Than Your Teacher: Llm Agents That Learn From Privileged Ai Feedback, by Sanjiban Choudhury et al.
Summary of Espace: Dimensionality Reduction Of Activations For Model Compression, by Charbel Sakr and Brucek Khailany
Summary of Can Llms Understand Time Series Anomalies?, by Zihao Zhou et al.
Summary of Online Scalable Gaussian Processes with Conformal Prediction For Guaranteed Coverage, by Jinwen Xu et al.
Summary of Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox, by Raymond Zhang and Richard Combes
Summary of Wearablemil: An End-to-end Framework For Military Activity Recognition and Performance Monitoring, by Barak Gahtan et al.
Summary of Task Diversity Shortens the Icl Plateau, by Jaeyeon Kim et al.
Summary of Meta-dynamical State Space Models For Integrative Neural Data Analysis, by Ayesha Vermani et al.
Summary of Research on Short-term Load Forecasting Model Based on Vmd and Ipso-elm, by Qiang Xie
Summary of Calmflow: Volterra Flow Matching Using Causal Language Models, by Sizhuang He et al.
Summary of Conceptlens: From Pixels to Understanding, by Abhilekha Dalal et al.
Summary of Palmbench: a Comprehensive Benchmark Of Compressed Large Language Models on Mobile Platforms, by Yilong Li et al.
Summary of Accelerating Diffusion Transformers with Token-wise Feature Caching, by Chang Zou et al.
Summary of Improving Llm Reasoning Through Scaling Inference Computation with Collaborative Verification, by Zhenwen Liang et al.
Summary of From Incomplete Coarse-grained to Complete Fine-grained: a Two-stage Framework For Spatiotemporal Data Reconstruction, by Ziyu Sun et al.
Summary of Early-cycle Internal Impedance Enables Ml-based Battery Cycle Life Predictions Across Manufacturers, by Tyler Sours (1) et al.
Summary of Reward Learning From Preference with Ties, by Jinsong Liu et al.
Summary of Vpi-mlogs: a Web-based Machine Learning Solution For Applications in Petrophysics, by Anh Tuan Nguyen
Summary of Distributed Inference on Mobile Edge and Cloud: An Early Exit Based Clustering Approach, by Divya Jyoti Bajpai and Manjesh Kumar Hanawal
Summary of Generating Cad Code with Vision-language Models For 3d Designs, by Kamel Alrashedy et al.
Summary of Trained Models Tell Us How to Make Them Robust to Spurious Correlation Without Group Annotation, by Mahdi Ghaznavi et al.
Summary of Restnet: Defense Against Adversarial Policies Via Transformer in Computer Go, by Tai-lin Wu et al.
Summary of Anyattack: Targeted Adversarial Attacks on Vision-language Models Toward Any Images, by Jiaming Zhang et al.
Summary of Gru-d Characterizes Age-specific Temporal Missingness in Mimic-iv, by Niklas Giesa et al.
Summary of Towards a Categorical Foundation Of Deep Learning: a Survey, by Francesco Riccardo Crescenzi