Paper List

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Summary of Hmt: Hierarchical Memory Transformer For Efficient Long Context Language Processing, by Zifan He et al.
Summary of Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search, by Zachary Coalson et al.
Summary of Scalable Learning Of Segment-level Traffic Congestion Functions, by Shushman Choudhury et al.
Summary of Deep Learning-based Residual Useful Lifetime Prediction For Assets with Uncertain Failure Modes, by Yuqi Su et al.
Summary of Mirage: a Multi-level Superoptimizer For Tensor Programs, by Mengdi Wu and Xinhao Cheng and Shengyu Liu and Chunan Shi and Jianan Ji and Kit Ao and Praveen Velliengiri and Xupeng Miao and Oded Padon and Zhihao Jia
Summary of Csa-net: Channel-wise Spatially Autocorrelated Attention Networks, by Nick Nikzad et al.
Summary of Neural Network Learning Of Black-scholes Equation For Option Pricing, by Daniel De Souza Santos and Tiago Alessandro Espinola Ferreira
Summary of Fusiontransnet For Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration, by Binwu Wang et al.
Summary of Enhancing Suicide Risk Detection on Social Media Through Semi-supervised Deep Label Smoothing, by Matthew Squires et al.
Summary of Informed Decision-making Through Advancements in Open Set Recognition and Unknown Sample Detection, by Atefeh Mahdavi et al.
Summary of Learned Feature Representations Are Biased by Complexity, Learning Order, Position, and More, By Andrew Kyle Lampinen et al.
Summary of Pre-trained Text-to-image Diffusion Models Are Versatile Representation Learners For Control, by Gunshi Gupta et al.
Summary of The Perspectivist Paradigm Shift: Assumptions and Challenges Of Capturing Human Labels, by Eve Fleisig et al.
Summary of Compressed Bayesian Federated Learning For Reliable Passive Radio Sensing in Industrial Iot, by Luca Barbieri et al.
Summary of Safe Exploration Using Bayesian World Models and Log-barrier Optimization, by Yarden As et al.
Summary of Exploiting Autoencoder’s Weakness to Generate Pseudo Anomalies, by Marcella Astrid et al.
Summary of Fuxi-ens: a Machine Learning Model For Medium-range Ensemble Weather Forecasting, by Xiaohui Zhong and Lei Chen and Hao Li and Jun Liu and Xu Fan and Jie Feng and Kan Dai and Jing-jia Luo and Jie Wu and Bo Lu
Summary of Theoretical Guarantees Of Data Augmented Last Layer Retraining Methods, by Monica Welfert et al.
Summary of Federated Combinatorial Multi-agent Multi-armed Bandits, by Fares Fourati et al.
Summary of Self-supervised Learning Of Time Series Representation Via Diffusion Process and Imputation-interpolation-forecasting Mask, by Zineb Senane et al.
Summary of Age Aware Scheduling For Differentially-private Federated Learning, by Kuan-yu Lin et al.
Summary of Distilling Diffusion Models Into Conditional Gans, by Minguk Kang et al.
Summary of A Universal Growth Rate For Learning with Smooth Surrogate Losses, by Anqi Mao et al.
Summary of Real-time Pill Identification For the Visually Impaired Using Deep Learning, by Bo Dang et al.
Summary of Towards Accurate and Robust Architectures Via Neural Architecture Search, by Yuwei Ou et al.
Summary of Characteristic Learning For Provable One Step Generation, by Zhao Ding and Chenguang Duan and Yuling Jiao and Ruoxuan Li and Jerry Zhijian Yang and Pingwen Zhang
Summary of Machine Learning For Scalable and Optimal Load Shedding Under Power System Contingency, by Yuqi Zhou and Hao Zhu
Summary of Model Inversion Robustness: Can Transfer Learning Help?, by Sy-tuyen Ho et al.
Summary of Navigate Beyond Shortcuts: Debiased Learning Through the Lens Of Neural Collapse, by Yining Wang et al.
Summary of Deep Hierarchical Graph Alignment Kernels, by Shuhao Tang et al.
Summary of Chain Of Attack: a Semantic-driven Contextual Multi-turn Attacker For Llm, by Xikang Yang et al.
Summary of Privacy-preserving Edge Federated Learning For Intelligent Mobile-health Systems, by Amin Aminifar et al.
Summary of An Automatic Prompt Generation System For Tabular Data Tasks, by Ashlesha Akella et al.
Summary of Rectified Gaussian Kernel Multi-view K-means Clustering, by Kristina P. Sinaga
Summary of Memory-space Visual Prompting For Efficient Vision-language Fine-tuning, by Shibo Jie et al.
Summary of Policy Gradient with Active Importance Sampling, by Matteo Papini et al.
Summary of Outlier-robust Kalman Filtering Through Generalised Bayes, by Gerardo Duran-martin et al.
Summary of Imprecise Multi-armed Bandits, by Vanessa Kosoy
Summary of Subgdiff: a Subgraph Diffusion Model to Improve Molecular Representation Learning, by Jiying Zhang et al.
Summary of Aux-nas: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost, by Yuan Gao et al.
Summary of Estimating Noisy Class Posterior with Part-level Labels For Noisy Label Learning, by Rui Zhao et al.
Summary of Tracegrad: a Framework Learning Expressive So(3)-equivariant Non-linear Representations For Electronic-structure Hamiltonian Prediction, by Shi Yin et al.
Summary of Batched Stochastic Bandit For Nondegenerate Functions, by Yu Liu et al.
Summary of Optimal Baseline Corrections For Off-policy Contextual Bandits, by Shashank Gupta et al.
Summary of Tiny Deep Ensemble: Uncertainty Estimation in Edge Ai Accelerators Via Ensembling Normalization Layers with Shared Weights, by Soyed Tuhin Ahmed et al.
Summary of Relevant Irrelevance: Generating Alterfactual Explanations For Image Classifiers, by Silvan Mertes et al.
Summary of Offline Model-based Optimization Via Policy-guided Gradient Search, by Yassine Chemingui et al.
Summary of Model Reconstruction Using Counterfactual Explanations: a Perspective From Polytope Theory, by Pasan Dissanayake et al.
Summary of The Effect Of Model Size on Llm Post-hoc Explainability Via Lime, by Henning Heyen et al.
Summary of “they Are Uncultured”: Unveiling Covert Harms and Social Threats in Llm Generated Conversations, by Preetam Prabhu Srikar Dammu et al.
Summary of Interpretability Needs a New Paradigm, by Andreas Madsen et al.
Summary of Aspire: Iterative Amortized Posterior Inference For Bayesian Inverse Problems, by Rafael Orozco et al.
Summary of Adversary-guided Motion Retargeting For Skeleton Anonymization, by Thomas Carr et al.
Summary of Initialization Is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing, By Zhongwang Zhang et al.
Summary of Latent Variable Double Gaussian Process Model For Decoding Complex Neural Data, by Navid Ziaei et al.
Summary of How Inverse Conditional Flows Can Serve As a Substitute For Distributional Regression, by Lucas Kook et al.
Summary of Towards Invariant Time Series Forecasting in Smart Cities, by Ziyi Zhang et al.
Summary of Searching For Programmatic Policies in Semantic Spaces, by Rubens O. Moraes and Levi H. S. Lelis
Summary of Large Language Model Enhanced Machine Learning Estimators For Classification, by Yuhang Wu et al.
Summary of Gdgs: Gradient Domain Gaussian Splatting For Sparse Representation Of Radiance Fields, by Yuanhao Gong
Summary of Taking a Moment For Distributional Robustness, by Jabari Hastings et al.
Summary of Vidur: a Large-scale Simulation Framework For Llm Inference, by Amey Agrawal et al.
Summary of Multi-scale Dilated Convolution Network For Long-term Time Series Forecasting, by Feifei Li et al.
Summary of Variance Control For Black Box Variational Inference Using the James-stein Estimator, by Dominic B. Dayta
Summary of Supervised Anomaly Detection For Complex Industrial Images, by Aimira Baitieva et al.
Summary of Health Index Estimation Through Integration Of General Knowledge with Unsupervised Learning, by Kristupas Bajarunas et al.
Summary of Concrete Dense Network For Long-sequence Time Series Clustering, by Redemptor Jr Laceda Taloma et al.
Summary of Designing Skill-compatible Ai: Methodologies and Frameworks in Chess, by Karim Hamade et al.
Summary of Novel Actor-critic Algorithm For Robust Decision Making Of Cav Under Delays and Loss Of V2x Data, by Zine El Abidine Kherroubi
Summary of Sparse-pgd: a Unified Framework For Sparse Adversarial Perturbations Generation, by Xuyang Zhong et al.
Summary of Robust Deep Learning From Weakly Dependent Data, by William Kengne and Modou Wade
Summary of Biology-inspired Joint Distribution Neurons Based on Hierarchical Correlation Reconstruction Allowing For Multidirectional Neural Networks, by Jarek Duda
Summary of Learning Object Semantic Similarity with Self-supervision, by Arthur Aubret et al.
Summary of Conformal Semantic Image Segmentation: Post-hoc Quantification Of Predictive Uncertainty, by Luca Mossina et al.
Summary of Selective Classification Under Distribution Shifts, by Hengyue Liang et al.
Summary of Is Transductive Learning Equivalent to Pac Learning?, by Shaddin Dughmi et al.
Summary of Custom Gradient Estimators Are Straight-through Estimators in Disguise, by Matt Schoenbauer et al.
Summary of Diskgnn: Bridging I/o Efficiency and Model Accuracy For Out-of-core Gnn Training, by Renjie Liu et al.
Summary of Conv-basis: a New Paradigm For Efficient Attention Inference and Gradient Computation in Transformers, by Yingyu Liang et al.
Summary of Benthicnet: a Global Compilation Of Seafloor Images For Deep Learning Applications, by Scott C. Lowe et al.
Summary of Attention-driven Training-free Efficiency Enhancement Of Diffusion Models, by Hongjie Wang et al.
Summary of Throne: An Object-based Hallucination Benchmark For the Free-form Generations Of Large Vision-language Models, by Prannay Kaul et al.
Summary of An Attention-based Deep Generative Model For Anomaly Detection in Industrial Control Systems, by Mayra Macas et al.
Summary of Multi-modal Data-efficient 3d Scene Understanding For Autonomous Driving, by Lingdong Kong and Xiang Xu and Jiawei Ren and Wenwei Zhang and Liang Pan and Kai Chen and Wei Tsang Ooi and Ziwei Liu
Summary of Qserve: W4a8kv4 Quantization and System Co-design For Efficient Llm Serving, by Yujun Lin and Haotian Tang and Shang Yang and Zhekai Zhang and Guangxuan Xiao and Chuang Gan and Song Han
Summary of Chathuman: Language-driven 3d Human Understanding with Retrieval-augmented Tool Reasoning, by Jing Lin et al.
Summary of When Training-free Nas Meets Vision Transformer: a Neural Tangent Kernel Perspective, by Qiqi Zhou et al.
Summary of Difffinger: Advancing Synthetic Fingerprint Generation Through Denoising Diffusion Probabilistic Models, by Freddie Grabovski et al.
Summary of Some Variation Of Cobra in Sequential Learning Setup, by Aryan Bhambu et al.
Summary of Learning Label-label Correlations in Extreme Multi-label Classification Via Label Features, by Siddhant Kharbanda et al.
Summary of Fast Decentralized Gradient Tracking For Federated Minimax Optimization with Local Updates, by Chris Junchi Li
Summary of Tackling Water Table Depth Modeling Via Machine Learning: From Proxy Observations to Verifiability, by Joseph Janssen et al.
Summary of Pope: Legendre Orthogonal Polynomials Based Position Encoding For Large Language Models, by Arpit Aggarwal
Summary of Integrating Knowledge-guided Symbolic Regression and Model-based Design Of Experiments to Automate Process Flow Diagram Development, by Alexander W. Rogers et al.
Summary of Multi-margin Cosine Loss: Proposal and Application in Recommender Systems, by Makbule Gulcin Ozsoy
Summary of Ai in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple Ct Scan Datasets, by Fakrul Islam Tushar et al.
Summary of Fractal: An Ultra-large-scale Aerial Lidar Dataset For 3d Semantic Segmentation Of Diverse Landscapes, by Charles Gaydon et al.
Summary of Data-driven Error Estimation: Upper Bounding Multiple Errors Without Class Complexity As Input, by Sanath Kumar Krishnamurthy et al.
Summary of Towards a Theoretical Understanding Of the ‘reversal Curse’ Via Training Dynamics, by Hanlin Zhu et al.
Summary of Acegen: Reinforcement Learning Of Generative Chemical Agents For Drug Discovery, by Albert Bou et al.