Paper List

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Summary of Tarot: Targeted Data Selection Via Optimal Transport, by Lan Feng et al.
Summary of Autopq: Automating Quantile Estimation From Point Forecasts in the Context Of Sustainability, by Stefan Meisenbacher et al.
Summary of On Autoregressive Deep Learning Models For Day-ahead Wind Power Forecasting with Irregular Shutdowns Due to Redispatching, by Stefan Meisenbacher et al.
Summary of Learning Locally, Revising Globally: Global Reviser For Federated Learning with Noisy Labels, by Yuxin Tian et al.
Summary of On the Conditions For Domain Stability For Machine Learning: a Mathematical Approach, by Gabriel Pedroza
Summary of Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows, by Feng Liu et al.
Summary of Enhancing Skin Cancer Diagnosis (scd) Using Late Discrete Wavelet Transform (dwt) and New Swarm-based Optimizers, by Ramin Mousa et al.
Summary of Rose: Revolutionizing Open-set Dense Segmentation with Patch-wise Perceptual Large Multimodal Model, by Kunyang Han et al.
Summary of Knowledge-augmented Explainable and Interpretable Learning For Anomaly Detection and Diagnosis, by Martin Atzmueller and Tim Bohne and Patricia Windler
Summary of T-3dgs: Removing Transient Objects For 3d Scene Reconstruction, by Alexander Markin et al.
Summary of Vision-xl: High Definition Video Inverse Problem Solver Using Latent Image Diffusion Models, by Taesung Kwon et al.
Summary of Aerialgo: Walking-through City View Generation From Aerial Perspectives, by Fuqiang Zhao et al.
Summary of Modelling Networked Dynamical System by Temporal Graph Neural Ode with Irregularly Partial Observed Time-series Data, By Mengbang Zou et al.
Summary of Origin-destination Demand Prediction: An Urban Radiation and Attraction Perspective, by Xuan Ma et al.
Summary of Step: Enhancing Video-llms’ Compositional Reasoning by Spatio-temporal Graph-guided Self-training, By Haiyi Qiu et al.
Summary of Solami: Social Vision-language-action Modeling For Immersive Interaction with 3d Autonomous Characters, by Jianping Jiang et al.
Summary of Circumventing Shortcuts in Audio-visual Deepfake Detection Datasets with Unsupervised Learning, by Dragos-alexandru Boldisor et al.
Summary of Luminet: Latent Intrinsics Meets Diffusion Models For Indoor Scene Relighting, by Xiaoyan Xing et al.
Summary of Diffusion Model Guided Sampling with Pixel-wise Aleatoric Uncertainty Estimation, by Michele De Vita et al.
Summary of Nushurescue: Revitalization Of the Endangered Nushu Language with Ai, by Ivory Yang et al.
Summary of Meta-learning Loss Functions Of Parametric Partial Differential Equations Using Physics-informed Neural Networks, by Michail Koumpanakis et al.
Summary of Hybrid Spiking Neural Network — Transformer Video Classification Model, by Aaron Bateni
Summary of Robust Testing For Deep Learning Using Human Label Noise, by Gordon Lim et al.
Summary of Average-over-time Spiking Neural Networks For Uncertainty Estimation in Regression, by Tao Sun et al.
Summary of Integrating Social Determinants Of Health Into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare, by Tianqi Shang et al.
Summary of Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives, by Hadi Hosseini and Duohan Zhang
Summary of Bots: Batch Bayesian Optimization Of Extended Thompson Sampling For Severely Episode-limited Rl Settings, by Karine Karine and Susan A. Murphy and Benjamin M. Marlin
Summary of Stochastic Taylor Derivative Estimator: Efficient Amortization For Arbitrary Differential Operators, by Zekun Shi et al.
Summary of Energy-efficient Split Learning For Fine-tuning Large Language Models in Edge Networks, by Zuguang Li et al.
Summary of Mixture Of Cache-conditional Experts For Efficient Mobile Device Inference, by Andrii Skliar et al.
Summary of Steering Rectified Flow Models in the Vector Field For Controlled Image Generation, by Maitreya Patel et al.
Summary of Differential Learning Kinetics Govern the Transition From Memorization to Generalization During In-context Learning, by Alex Nguyen et al.
Summary of Electrovizqa: How Well Do Multi-modal Llms Perform in Electronics Visual Question Answering?, by Pragati Shuddhodhan Meshram et al.
Summary of Act Now: a Novel Online Forecasting Framework For Large-scale Streaming Data, by Daojun Liang et al.
Summary of Predicting Extubation Failure in Intensive Care: the Development Of a Novel, End-to-end Actionable and Interpretable Prediction System, by Akram Yoosoofsah
Summary of Deep Neural Network-based Prediction Of B-cell Epitopes For Sars-cov and Sars-cov-2: Enhancing Vaccine Design Through Machine Learning, by Xinyu Shi et al.
Summary of Demographic Predictability in 3d Ct Foundation Embeddings, by Guangyao Zheng et al.
Summary of Training Multi-layer Binary Neural Networks with Local Binary Error Signals, by Luca Colombo et al.
Summary of Boundary-decoder Network For Inverse Prediction Of Capacitor Electrostatic Analysis, by Kart-leong Lim et al.
Summary of Streamlined Federated Unlearning: Unite As One to Be Highly Efficient, by Lei Zhou et al.
Summary of Electricity Price Prediction Using Multi-kernel Gaussian Process Regression Combined with Kernel-based Support Vector Regression, by Abhinav Das et al.
Summary of Scaling Particle Collision Data Analysis, by Hengkui Wu et al.
Summary of Event-based Tracking Of Any Point with Motion-robust Correlation Features, by Friedhelm Hamann et al.
Summary of Fonts: Text Rendering with Typography and Style Controls, by Wenda Shi and Yiren Song and Dengming Zhang and Jiaming Liu and Xingxing Zou
Summary of Unleashing the Power Of Data Synthesis in Visual Localization, by Sihang Li et al.
Summary of Mpq-diff: Mixed Precision Quantization For Diffusion Models, by Rocco Manz Maruzzelli et al.
Summary of Is Oracle Pruning the True Oracle?, by Sicheng Feng et al.
Summary of Creating Hierarchical Dispositions Of Needs in An Agent, by Tofara Moyo
Summary of Partitioning Message Passing For Graph Fraud Detection, by Wei Zhuo et al.
Summary of Mapping Waterways Worldwide with Deep Learning, by Matthew Pierson and Zia Mehrabi
Summary of Transfair: Transferring Fairness From Ocular Disease Classification to Progression Prediction, by Leila Gheisi et al.
Summary of Lemole: Llm-enhanced Mixture Of Linear Experts For Time Series Forecasting, by Lingzheng Zhang et al.
Summary of Less Is More: Efficient Model Merging with Binary Task Switch, by Biqing Qi et al.
Summary of Adaptive Coordinate-wise Step Sizes For Quasi-newton Methods: a Learning-to-optimize Approach, by Wei Lin et al.
Summary of Speculative Decoding with Ctc-based Draft Model For Llm Inference Acceleration, by Zhuofan Wen et al.
Summary of Deep Learning-based Electricity Price Forecast For Virtual Bidding in Wholesale Electricity Market, by Xuesong Wang et al.
Summary of Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs, by Chenhan Zhang et al.
Summary of Recurrent Stochastic Configuration Networks with Hybrid Regularization For Nonlinear Dynamics Modelling, by Gang Dang and Dianhui Wang
Summary of Condense, Don’t Just Prune: Enhancing Efficiency and Performance in Moe Layer Pruning, by Mingyu Cao et al.
Summary of Coap: Memory-efficient Training with Correlation-aware Gradient Projection, by Jinqi Xiao et al.
Summary of The Muon Space Gnss-r Surface Soil Moisture Product, by Max Roberts et al.
Summary of Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help Of Overfitting Dynamics, by Nima Sedaghat et al.
Summary of Task Singular Vectors: Reducing Task Interference in Model Merging, by Antonio Andrea Gargiulo et al.
Summary of Dual Prototyping with Domain and Class Prototypes For Affective Brain-computer Interface in Unseen Target Conditions, by Guangli Li et al.
Summary of Unpacking the Individual Components Of Diffusion Policy, by Xiu Yuan
Summary of Visual Error Patterns in Multi-modal Ai: a Statistical Approach, by Ching-yi Wang
Summary of Physics-informed Deep Learning Model For Line-integral Diagnostics Across Fusion Devices, by Cong Wang et al.
Summary of A Visual-inertial Localization Algorithm Using Opportunistic Visual Beacons and Dead-reckoning For Gnss-denied Large-scale Applications, by Liqiang Zhang et al.
Summary of Towards Class-wise Robustness Analysis, by Tejaswini Medi et al.
Summary of Sparc: Sparse Radar-camera Fusion For 3d Object Detection, by Philipp Wolters et al.
Summary of Reverse Thinking Makes Llms Stronger Reasoners, by Justin Chih-yao Chen et al.
Summary of Aidetx: a Compression-based Method For Identification Of Machine-learning Generated Text, by Leonardo Almeida et al.
Summary of Demo: Decoupled Momentum Optimization, by Bowen Peng et al.
Summary of Open Source Differentiable Ode Solving Infrastructure, by Rakshit Kr. Singh et al.
Summary of Incremental Multi-scene Modeling Via Continual Neural Graphics Primitives, by Prajwal Singh et al.
Summary of Flowclas: Enhancing Normalizing Flow Via Contrastive Learning For Anomaly Segmentation, by Chang Won Lee et al.
Summary of Another Look at Inference After Prediction, by Jessica Gronsbell et al.
Summary of Quantifying the Synthetic and Real Domain Gap in Aerial Scene Understanding, by Alina Marcu
Summary of Dynamic Eeg-fmri Mapping: Revealing the Relationship Between Brain Connectivity and Cognitive State, by Guiran Liu et al.
Summary of On Domain-specific Post-training For Multimodal Large Language Models, by Daixuan Cheng et al.
Summary of Scalable Out-of-distribution Robustness in the Presence Of Unobserved Confounders, by Parjanya Prashant et al.
Summary of Perception Test 2024: Challenge Summary and a Novel Hour-long Videoqa Benchmark, by Joseph Heyward et al.
Summary of Free-form Generation Enhances Challenging Clothed Human Modeling, by Hang Ye et al.
Summary of Critical Tokens Matter: Token-level Contrastive Estimation Enhances Llm’s Reasoning Capability, by Zicheng Lin et al.
Summary of Delt: a Simple Diversity-driven Earlylate Training For Dataset Distillation, by Zhiqiang Shen and Ammar Sherif and Zeyuan Yin and Shitong Shao
Summary of Alphatablets: a Generic Plane Representation For 3d Planar Reconstruction From Monocular Videos, by Yuze He et al.
Summary of Sparrow: Data-efficient Video-llm with Text-to-image Augmentation, by Shukang Yin et al.
Summary of Monopp: Metric-scaled Self-supervised Monocular Depth Estimation by Planar-parallax Geometry in Automotive Applications, By Gasser Elazab et al.
Summary of Jetformer: An Autoregressive Generative Model Of Raw Images and Text, by Michael Tschannen et al.
Summary of Towards Santali Linguistic Inclusion: Building the First Santali-to-english Translation Model Using Mt5 Transformer and Data Augmentation, by Syed Mohammed Mostaque Billah et al.
Summary of Real-time Anomaly Detection in Video Streams, by Fabien Poirier
Summary of Risk-averse Certification Of Bayesian Neural Networks, by Xiyue Zhang et al.
Summary of Graph Neural Networks For Heart Failure Prediction on An Ehr-based Patient Similarity Graph, by Heloisa Oss Boll et al.
Summary of Lavide: a Language-vision Discriminator For Detecting Changes in Satellite Image with Map References, by Shuguo Jiang et al.
Summary of A Multi-loss Strategy For Vehicle Trajectory Prediction: Combining Off-road, Diversity, and Directional Consistency Losses, by Ahmad Rahimi and Alexandre Alahi
Summary of Dual Risk Minimization: Towards Next-level Robustness in Fine-tuning Zero-shot Models, by Kaican Li et al.
Summary of Desplat: Decomposed Gaussian Splatting For Distractor-free Rendering, by Yihao Wang et al.
Summary of Forecasting Foreign Exchange Market Prices Using Technical Indicators with Deep Learning and Attention Mechanism, by Sahabeh Saadati et al.
Summary of Stock Price Prediction Using Multi-faceted Information Based on Deep Recurrent Neural Networks, by Lida Shahbandari et al.
Summary of Longvale: Vision-audio-language-event Benchmark Towards Time-aware Omni-modal Perception Of Long Videos, by Tiantian Geng et al.