Paper List

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Summary of Made to Order: Discovering Monotonic Temporal Changes Via Self-supervised Video Ordering, by Charig Yang et al.
Summary of Sugarcane Health Monitoring with Satellite Spectroscopy and Machine Learning: a Review, by Ethan Kane Waters et al.
Summary of A Disease Labeler For Chinese Chest X-ray Report Generation, by Mengwei Wang et al.
Summary of Rapid Deployment Of Dnns For Edge Computing Via Structured Pruning at Initialization, by Bailey J. Eccles et al.
Summary of Abcd: Trust Enhanced Attention Based Convolutional Autoencoder For Risk Assessment, by Sarala Naidu et al.
Summary of Pearls From Pebbles: Improved Confidence Functions For Auto-labeling, by Harit Vishwakarma et al.
Summary of Improving Multi-label Recognition Using Class Co-occurrence Probabilities, by Samyak Rawlekar et al.
Summary of Autogluon-multimodal (automm): Supercharging Multimodal Automl with Foundation Models, by Zhiqiang Tang et al.
Summary of Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference, by Zhe Zhang et al.
Summary of Causally Inspired Regularization Enables Domain General Representations, by Olawale Salaudeen and Sanmi Koyejo
Summary of Reinforcement Learning with Generative Models For Compact Support Sets, by Nico Schiavone and Xingyu Li
Summary of Boosting Model Resilience Via Implicit Adversarial Data Augmentation, by Xiaoling Zhou et al.
Summary of Neurokoopman Dynamic Causal Discovery, by Rahmat Adesunkanmi et al.
Summary of Distributionally Robust Safe Screening, by Hiroyuki Hanada et al.
Summary of Fedstyle: Style-based Federated Learning Crowdsourcing Framework For Art Commissions, by Changjuan Ran et al.
Summary of Evolutionary Causal Discovery with Relative Impact Stratification For Interpretable Data Analysis, by Ou Deng et al.
Summary of Guarding Graph Neural Networks For Unsupervised Graph Anomaly Detection, by Yuanchen Bei et al.
Summary of Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers, by Kabir Ahuja et al.
Summary of Offline Reinforcement Learning with Behavioral Supervisor Tuning, by Padmanaba Srinivasan et al.
Summary of T-explainer: a Model-agnostic Explainability Framework Based on Gradients, by Evandro S. Ortigossa et al.
Summary of Automating the Discovery Of Partial Differential Equations in Dynamical Systems, by Weizhen Li and Rui Carvalho
Summary of A Dual Perspective Of Reinforcement Learning For Imposing Policy Constraints, by Bram De Cooman and Johan Suykens
Summary of Probabilistic Multi-layer Perceptrons For Wind Farm Condition Monitoring, by Filippo Fiocchi et al.
Summary of Global Concept Explanations For Graphs by Contrastive Learning, By Jonas Teufel et al.
Summary of A Comprehensive and Easy-to-use Multi-domain Multi-task Medical Imaging Meta-dataset (medimeta), by Stefano Woerner et al.
Summary of Improving Dictionary Learning with Gated Sparse Autoencoders, by Senthooran Rajamanoharan et al.
Summary of Retinaregnet: a Zero-shot Approach For Retinal Image Registration, by Vishal Balaji Sivaraman et al.
Summary of Mode: Clip Data Experts Via Clustering, by Jiawei Ma et al.
Summary of Studying Large Language Model Behaviors Under Context-memory Conflicts with Real Documents, by Evgenii Kortukov et al.
Summary of Vn-net: Vision-numerical Fusion Graph Convolutional Network For Sparse Spatio-temporal Meteorological Forecasting, by Yutong Xiong et al.
Summary of Semeval-2024 Task 9: Brainteaser: a Novel Task Defying Common Sense, by Yifan Jiang et al.
Summary of Playing Board Games with the Predict Results Of Beam Search Algorithm, by Sergey Pastukhov
Summary of Learning World Models with Hierarchical Temporal Abstractions: a Probabilistic Perspective, by Vaisakh Shaj
Summary of Zkllm: Zero Knowledge Proofs For Large Language Models, by Haochen Sun and Jason Li and Hongyang Zhang
Summary of Mamba-360: Survey Of State Space Models As Transformer Alternative For Long Sequence Modelling: Methods, Applications, and Challenges, by Badri Narayana Patro et al.
Summary of Online Personalizing White-box Llms Generation with Neural Bandits, by Zekai Chen et al.
Summary of Comparison Of Static and Dynamic Random Forests Models For Ehr Data in the Presence Of Competing Risks: Predicting Central Line-associated Bloodstream Infection, by Elena Albu et al.
Summary of Quantitative Characterization Of Retinal Features in Translated Octa, by Rashadul Hasan Badhon et al.
Summary of Does Sam Dream Of Eig? Characterizing Interactive Segmenter Performance Using Expected Information Gain, by Kuan-i Chung and Daniel Moyer
Summary of A Comparative Analysis Of Adversarial Robustness For Quantum and Classical Machine Learning Models, by Maximilian Wendlinger et al.
Summary of Afu: Actor-free Critic Updates in Off-policy Rl For Continuous Control, by Nicolas Perrin-gilbert
Summary of Towards a Holistic Evaluation Of Llms on Factual Knowledge Recall, by Jiaqing Yuan et al.
Summary of S2devfmap: Self-supervised Learning Framework with Dual Ensemble Voting Fusion For Maximizing Anomaly Prediction in Timeseries, by Sarala Naidu et al.
Summary of The Over-certainty Phenomenon in Modern Uda Algorithms, by Fin Amin and Jung-eun Kim
Summary of Debiasing Machine Unlearning with Counterfactual Examples, by Ziheng Chen et al.
Summary of Bass: Batched Attention-optimized Speculative Sampling, by Haifeng Qian et al.
Summary of An Empirical Study Of Aegis, by Daniel Saragih et al.
Summary of Geckopt: Llm System Efficiency Via Intent-based Tool Selection, by Michael Fore et al.
Summary of Where to Mask: Structure-guided Masking For Graph Masked Autoencoders, by Chuang Liu et al.
Summary of Vision Transformer-based Adversarial Domain Adaptation, by Yahan Li et al.
Summary of Syntheval: a Framework For Detailed Utility and Privacy Evaluation Of Tabular Synthetic Data, by Anton Danholt Lautrup et al.
Summary of Recursive Backwards Q-learning in Deterministic Environments, by Jan Diekhoff et al.
Summary of Optc — a Toolchain For Deployment Of Neural Networks on Aurix Tc3xx Microcontrollers, by Christian Heidorn et al.
Summary of Detecting Conceptual Abstraction in Llms, by Michaela Regneri et al.
Summary of St-mambasync: the Complement Of Mamba and Transformers For Spatial-temporal in Traffic Flow Prediction, by Zhiqi Shao et al.
Summary of Drawing the Line: Deep Segmentation For Extracting Art From Ancient Etruscan Mirrors, by Rafael Sterzinger et al.
Summary of An Element-wise Weights Aggregation Method For Federated Learning, by Yi Hu et al.
Summary of Decentralized Personalized Federated Learning Based on a Conditional Sparse-to-sparser Scheme, by Qianyu Long et al.
Summary of Interpretable Clustering with the Distinguishability Criterion, by Ali Turfah et al.
Summary of On the Fourier Analysis in the So(3) Space : Equilopo Network, by Dmitrii Zhemchuzhnikov and Sergei Grudinin
Summary of Corm: Cache Optimization with Recent Message For Large Language Model Inference, by Jincheng Dai et al.
Summary of Uncertainty Estimation and Quantification For Llms: a Simple Supervised Approach, by Linyu Liu et al.
Summary of Unimodal and Multimodal Sensor Fusion For Wearable Activity Recognition, by Hymalai Bello
Summary of Besound: Bluetooth-based Position Estimation Enhancing with Cross-modality Distillation, by Hymalai Bello et al.
Summary of Neural Operator Induced Gaussian Process Framework For Probabilistic Solution Of Parametric Partial Differential Equations, by Sawan Kumar and Rajdip Nayek and Souvik Chakraborty
Summary of Fr-nas: Forward-and-reverse Graph Predictor For Efficient Neural Architecture Search, by Haoming Zhang and Ran Cheng
Summary of Optimizing Ood Detection in Molecular Graphs: a Novel Approach with Diffusion Models, by Xu Shen et al.
Summary of A Real-time Evaluation Framework For Pedestrian’s Potential Risk at Non-signalized Intersections Based on Predicted Post-encroachment Time, by Tengfeng Lin et al.
Summary of Mislead: Manipulating Importance Of Selected Features For Learning Epsilon in Evasion Attack Deception, by Vidit Khazanchi et al.
Summary of Catlip: Clip-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-text Data, by Sachin Mehta and Maxwell Horton and Fartash Faghri and Mohammad Hossein Sekhavat and Mahyar Najibi and Mehrdad Farajtabar and Oncel Tuzel and Mohammad Rastegari
Summary of Augmented Cards: a Machine Learning Approach to Identifying Triggers Of Climate Change Misinformation on Twitter, by Cristian Rojas et al.
Summary of Fedsi: Federated Subnetwork Inference For Efficient Uncertainty Quantification, by Hui Chen et al.
Summary of Neural Proto-language Reconstruction, by Chenxuan Cui et al.
Summary of Deep Learning For Accelerated and Robust Mri Reconstruction: a Review, by Reinhard Heckel et al.
Summary of Long-term Off-policy Evaluation and Learning, by Yuta Saito et al.
Summary of Efficient Multi-model Fusion with Adversarial Complementary Representation Learning, by Zuheng Kang et al.
Summary of Vividex: Learning Vision-based Dexterous Manipulation From Human Videos, by Zerui Chen et al.
Summary of Gradformer: Graph Transformer with Exponential Decay, by Chuang Liu et al.
Summary of Md-nomad: Mixture Density Nonlinear Manifold Decoder For Emulating Stochastic Differential Equations and Uncertainty Propagation, by Akshay Thakur and Souvik Chakraborty
Summary of A General Black-box Adversarial Attack on Graph-based Fake News Detectors, by Peican Zhu et al.
Summary of Collaborative Heterogeneous Causal Inference Beyond Meta-analysis, by Tianyu Guo et al.
Summary of Exploring Machine Learning Algorithms For Infection Detection Using Gc-ims Data: a Preliminary Study, by Christos Sardianos et al.
Summary of Unifying Bayesian Flow Networks and Diffusion Models Through Stochastic Differential Equations, by Kaiwen Xue et al.
Summary of Bi-mamba+: Bidirectional Mamba For Time Series Forecasting, by Aobo Liang et al.
Summary of Fl-tac: Enhanced Fine-tuning in Federated Learning Via Low-rank, Task-specific Adapter Clustering, by Siqi Ping et al.
Summary of Ml-based Identification Of the Interface Regions For Coupling Local and Nonlocal Models, by Noujoud Nader et al.
Summary of Large-scale Multipurpose Benchmark Datasets For Assessing Data-driven Deep Learning Approaches For Water Distribution Networks, by Andres Tello et al.
Summary of Uncertainty in Latent Representations Of Variational Autoencoders Optimized For Visual Tasks, by Josefina Catoni et al.
Summary of Insufficient Statistics Perturbation: Stable Estimators For Private Least Squares, by Gavin Brown et al.
Summary of The Power Of Resets in Online Reinforcement Learning, by Zakaria Mhammedi et al.
Summary of Machine Learning Techniques with Fairness For Prediction Of Completion Of Drug and Alcohol Rehabilitation, by Karen Roberts-licklider and Theodore Trafalis
Summary of Private Optimal Inventory Policy Learning For Feature-based Newsvendor with Unknown Demand, by Tuoyi Zhao et al.
Summary of Training All-mechanical Neural Networks For Task Learning Through in Situ Backpropagation, by Shuaifeng Li et al.
Summary of Geollm-engine: a Realistic Environment For Building Geospatial Copilots, by Simranjit Singh et al.
Summary of Fedgreen: Carbon-aware Federated Learning with Model Size Adaptation, by Ali Abbasi et al.
Summary of An Mrp Formulation For Supervised Learning: Generalized Temporal Difference Learning Models, by Yangchen Pan et al.
Summary of Cross-temporal Spectrogram Autoencoder (ctsae): Unsupervised Dimensionality Reduction For Clustering Gravitational Wave Glitches, by Yi Li et al.
Summary of Guided Absolutegrad: Magnitude Of Gradients Matters to Explanation’s Localization and Saliency, by Jun Huang et al.
Summary of Brain Storm Optimization Based Swarm Learning For Diabetic Retinopathy Image Classification, by Liang Qu et al.
Summary of Implicitave: An Open-source Dataset and Multimodal Llms Benchmark For Implicit Attribute Value Extraction, by Henry Peng Zou et al.