Paper List

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Summary of Scaling Sign Language Translation, by Biao Zhang and Garrett Tanzer and Orhan Firat
Summary of What Makes a Meme a Meme? Identifying Memes For Memetics-aware Dataset Creation, by Muzhaffar Hazman et al.
Summary of Unlearning Targeted Information Via Single Layer Unlearning Gradient, by Zikui Cai et al.
Summary of Federated Learning Forecasting For Strengthening Grid Reliability and Enabling Markets For Resilience, by Lucas Pereira et al.
Summary of Dino-diffusion. Scaling Medical Diffusion Via Self-supervised Pre-training, by Guillermo Jimenez-perez et al.
Summary of Hyperaggregation: Aggregating Over Graph Edges with Hypernetworks, by Nicolas Lell et al.
Summary of The Foundations Of Tokenization: Statistical and Computational Concerns, by Juan Luis Gastaldi et al.
Summary of Graph Dimension Attention Networks For Enterprise Credit Assessment, by Shaopeng Wei et al.
Summary of Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification, by Saba Ahmadi et al.
Summary of Rethinking Fair Graph Neural Networks From Re-balancing, by Zhixun Li et al.
Summary of Ccva-fl: Cross-client Variations Adaptive Federated Learning For Medical Imaging, by Sunny Gupta and Amit Sethi
Summary of Dynamic Dimension Wrapping (ddw) Algorithm: a Novel Approach For Efficient Cross-dimensional Search in Dynamic Multidimensional Spaces, by Dongnan Jin et al.
Summary of Dataset Dictionary Learning in a Wasserstein Space For Federated Domain Adaptation, by Eduardo Fernandes Montesuma et al.
Summary of Neural Compression Of Atmospheric States, by Piotr Mirowski et al.
Summary of R-sfllm: Jamming Resilient Framework For Split Federated Learning with Large Language Models, by Aladin Djuhera et al.
Summary of Skada-bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation on Diverse Modalities, by Yanis Lalou et al.
Summary of Theoretical Insights Into Cyclegan: Analyzing Approximation and Estimation Errors in Unpaired Data Generation, by Luwei Sun et al.
Summary of Global Atmospheric Data Assimilation with Multi-modal Masked Autoencoders, by Thomas J. Vandal et al.
Summary of Exploring Quantization For Efficient Pre-training Of Transformer Language Models, by Kamran Chitsaz et al.
Summary of Nitro-d: Native Integer-only Training Of Deep Convolutional Neural Networks, by Alberto Pirillo et al.
Summary of Prosub: Probabilistic Open-set Semi-supervised Learning with Subspace-based Out-of-distribution Detection, by Erik Wallin et al.
Summary of Oam-tcd: a Globally Diverse Dataset Of High-resolution Tree Cover Maps, by Josh Veitch-michaelis et al.
Summary of Why Long Model-based Rollouts Are No Reason For Bad Q-value Estimates, by Philipp Wissmann et al.
Summary of Repurformer: Transformers For Repurposing-aware Molecule Generation, by Changhun Lee et al.
Summary of Generally-occurring Model Change For Robust Counterfactual Explanations, by Ao Xu et al.
Summary of Isometric Representation Learning For Disentangled Latent Space Of Diffusion Models, by Jaehoon Hahm et al.
Summary of Graceful Task Adaptation with a Bi-hemispheric Rl Agent, by Grant Nicholas et al.
Summary of Investigating Imperceptibility Of Adversarial Attacks on Tabular Data: An Empirical Analysis, by Zhipeng He et al.
Summary of Safe Online Convex Optimization with Multi-point Feedback, by Spencer Hutchinson et al.
Summary of Quantum Maximum Entropy Inference and Hamiltonian Learning, by Minbo Gao et al.
Summary of Xtraffic: a Dataset Where Traffic Meets Incidents with Explainability and More, by Xiaochuan Gou et al.
Summary of Aigc For Industrial Time Series: From Deep Generative Models to Large Generative Models, by Lei Ren et al.
Summary of Multi-channel Masked Autoencoder and Comprehensive Evaluations For Reconstructing 12-lead Ecg From Arbitrary Single-lead Ecg, by Jiarong Chen et al.
Summary of A Meta-learning Approach For Multi-objective Reinforcement Learning in Sustainable Home Environments, by Junlin Lu et al.
Summary of An Ai System For Continuous Knee Osteoarthritis Severity Grading Using Self-supervised Anomaly Detection with Limited Data, by Niamh Belton and Aonghus Lawlor and Kathleen M. Curran
Summary of Diff-mts: Temporal-augmented Conditional Diffusion-based Aigc For Industrial Time Series Towards the Large Model Era, by Lei Ren et al.
Summary of Reasoning with Large Language Models, a Survey, by Aske Plaat et al.
Summary of Lrq: Optimizing Post-training Quantization For Large Language Models by Learning Low-rank Weight-scaling Matrices, By Jung Hyun Lee et al.
Summary of Ensemble Transport Filter Via Optimized Maximum Mean Discrepancy, by Dengfei Zeng and Lijian Jiang
Summary of Counting in Small Transformers: the Delicate Interplay Between Attention and Feed-forward Layers, by Freya Behrens et al.
Summary of Not Another Imputation Method: a Transformer-based Model For Missing Values in Tabular Datasets, by Camillo Maria Caruso et al.
Summary of A Discrete Perspective Towards the Construction Of Sparse Probabilistic Boolean Networks, by Christopher H. Fok et al.
Summary of Self-guided Generation Of Minority Samples Using Diffusion Models, by Soobin Um and Jong Chul Ye
Summary of (deep) Generative Geodesics, by Beomsu Kim and Michael Puthawala and Jong Chul Ye and Emanuele Sansone
Summary of Disentangling Representations Through Multi-task Learning, by Pantelis Vafidis et al.
Summary of Separable Operator Networks, by Xinling Yu et al.
Summary of Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-gru Networks, by Mohammed Alruqimi and Luca Di Persio
Summary of Heterogenous Multi-source Data Fusion Through Input Mapping and Latent Variable Gaussian Process, by Yigitcan Comlek et al.
Summary of Empirical Mean and Frequency Estimation Under Heterogeneous Privacy: a Worst-case Analysis, by Syomantak Chaudhuri et al.
Summary of Intelligent Cross-organizational Process Mining: a Survey and New Perspectives, by Yiyuan Yang et al.
Summary of Novel Approach For Predicting the Air Quality Index Of Megacities Through Attention-enhanced Deep Multitask Spatiotemporal Learning, by Harun Khan et al.
Summary of Clams: a System For Zero-shot Model Selection For Clustering, by Prabhant Singh et al.
Summary of Detection Of Global Anomalies on Distributed Iot Edges with Device-to-device Communication, by Hideya Ochiai and Riku Nishihata and Eisuke Tomiyama and Yuwei Sun and Hiroshi Esaki
Summary of Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation, by Yu Xie et al.
Summary of Ses: Bridging the Gap Between Explainability and Prediction Of Graph Neural Networks, by Zhenhua Huang et al.
Summary of Preconditioned Gradient Descent Finds Over-parameterized Neural Networks with Sharp Generalization For Nonparametric Regression, by Yingzhen Yang
Summary of Feature Inference Attack on Shapley Values, by Xinjian Luo et al.
Summary of Graph Structure Prompt Learning: a Novel Methodology to Improve Performance Of Graph Neural Networks, by Zhenhua Huang et al.
Summary of Namer: Non-autoregressive Modeling For Handwritten Mathematical Expression Recognition, by Chenyu Liu et al.
Summary of Cic-bart-ssa: Controllable Image Captioning with Structured Semantic Augmentation, by Kalliopi Basioti et al.
Summary of Dreamcatalyst: Fast and High-quality 3d Editing Via Controlling Editability and Identity Preservation, by Jiwook Kim et al.
Summary of Mapping Savannah Woody Vegetation at the Species Level with Multispecral Drone and Hyperspectral Enmap Data, by Christina Karakizi et al.
Summary of Accounting For Work Zone Disruptions in Traffic Flow Forecasting, by Yuanjie Lu et al.
Summary of Spreadfgl: Edge-client Collaborative Federated Graph Learning with Adaptive Neighbor Generation, by Luying Zhong et al.
Summary of Empowering Graph Invariance Learning with Deep Spurious Infomax, by Tianjun Yao et al.
Summary of Pre-training with Fractional Denoising to Enhance Molecular Property Prediction, by Yuyan Ni et al.
Summary of Explainable Bank Failure Prediction Models: Counterfactual Explanations to Reduce the Failure Risk, by Seyma Gunonu et al.
Summary of Deep Learning Activation Functions: Fixed-shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-standard, Ensemble, by M. M. Hammad
Summary of Deepgate3: Towards Scalable Circuit Representation Learning, by Zhengyuan Shi et al.
Summary of Static and Multivariate-temporal Attentive Fusion Transformer For Readmission Risk Prediction, by Zhe Sun et al.
Summary of Inertial Confinement Fusion Forecasting Via Large Language Models, by Mingkai Chen et al.
Summary of Exploring the Potentials and Challenges Of Deep Generative Models in Product Design Conception, by Phillip Mueller et al.
Summary of Towards Adversarially Robust Vision-language Models: Insights From Design Choices and Prompt Formatting Techniques, by Rishika Bhagwatkar et al.
Summary of Deep Learning Evidence For Global Optimality Of Gerver’s Sofa, by Kuangdai Leng et al.
Summary of Lessons From a Human-in-the-loop Machine Learning Approach For Identifying Vacant, Abandoned, and Deteriorated Properties in Savannah, Georgia, by Xiaofan Liang et al.
Summary of Physics-embedded Fourier Neural Network For Partial Differential Equations, by Qingsong Xu et al.
Summary of Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations Among Multivariates, by Gang Su et al.
Summary of Eyedentify: a Dataset For Pupil Diameter Estimation Based on Webcam Images, by Vijul Shah et al.
Summary of Differentiable Neural-integrated Meshfree Method For Forward and Inverse Modeling Of Finite Strain Hyperelasticity, by Honghui Du et al.
Summary of Putnambench: Evaluating Neural Theorem-provers on the Putnam Mathematical Competition, by George Tsoukalas et al.
Summary of Mechanistic Interpretability Of Large Language Models with Applications to the Financial Services Industry, by Ashkan Golgoon et al.
Summary of Unraveling the Truth: Do Vlms Really Understand Charts? a Deep Dive Into Consistency and Robustness, by Srija Mukhopadhyay et al.
Summary of From Galore to Welore: How Low-rank Weights Non-uniformly Emerge From Low-rank Gradients, by Ajay Jaiswal et al.
Summary of Magnitude and Rotation Invariant Detection Of Transportation Modes with Missing Data Modalities, by Jeroen Van Der Donckt et al.
Summary of Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation, by Meihan Liu et al.
Summary of Graph Neural Networks and Spatial Information Learning For Post-processing Ensemble Weather Forecasts, by Moritz Feik et al.
Summary of Sampling and Active Learning Methods For Network Reliability Estimation Using K-terminal Spanning Tree, by Chen Ding et al.
Summary of Generative Ai For Health Technology Assessment: Opportunities, Challenges, and Policy Considerations, by Rachael Fleurence et al.
Summary of Industrial-grade Time-dependent Counterfactual Root Cause Analysis Through the Unanticipated Point Of Incipient Failure: a Proof Of Concept, by Alexandre Trilla et al.
Summary of Knowledge Boosting During Low-latency Inference, by Vidya Srinivas et al.
Summary of Spin: Se(3)-invariant Physics Informed Network For Binding Affinity Prediction, by Seungyeon Choi et al.
Summary of A Review Of Graph Neural Network Applications in Mechanics-related Domains, by Yingxue Zhao et al.
Summary of Optimal Defender Strategies For Cage-2 Using Causal Modeling and Tree Search, by Kim Hammar et al.
Summary of Exploring the Boundaries Of On-device Inference: When Tiny Falls Short, Go Hierarchical, by Adarsh Prasad Behera et al.
Summary of Combining Federated Learning and Control: a Survey, by Jakob Weber et al.
Summary of Efficientqat: Efficient Quantization-aware Training For Large Language Models, by Mengzhao Chen et al.
Summary of Monosparse-cam: Efficient Tree Model Processing Via Monotonicity and Sparsity in Cams, by Tergel Molom-ochir et al.
Summary of St-retnet: a Long-term Spatial-temporal Traffic Flow Prediction Method, by Baichao Long et al.
Summary of A Comprehensive Survey on Kolmogorov Arnold Networks (kan), by Tianrui Ji et al.
Summary of Deep Reinforcement Learning with Symmetric Data Augmentation Applied For Aircraft Lateral Attitude Tracking Control, by Yifei Li and Erik-jan Van Kampen