Paper List

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Summary of Tablepuppet: a Generic Framework For Relational Federated Learning, by Lijie Xu et al.
Summary of Centered Masking For Language-image Pre-training, by Mingliang Liang et al.
Summary of Carbon Intensity-aware Adaptive Inference Of Dnns, by Jiwan Jung
Summary of Fine-tuning Pre-trained Language Models to Detect In-game Trash Talks, by Daniel Fesalbon et al.
Summary of Unveiling the Anomalies in An Ever-changing World: a Benchmark For Pixel-level Anomaly Detection in Continual Learning, by Nikola Bugarin et al.
Summary of Llms-based Few-shot Disease Predictions Using Ehr: a Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction, by Hejie Cui et al.
Summary of Using Super-resolution Imaging For Recognition Of Low-resolution Blurred License Plates: a Comparative Study Of Real-esrgan, A-esrgan, and Starsrgan, by Ching-hsiang Wang
Summary of Isometric Neural Machine Translation Using Phoneme Count Ratio Reward-based Reinforcement Learning, by Shivam Ratnakant Mhaskar et al.
Summary of Ec-iou: Orienting Safety For Object Detectors Via Ego-centric Intersection-over-union, by Brian Hsuan-cheng Liao et al.
Summary of Learning to Infer Generative Template Programs For Visual Concepts, by R. Kenny Jones et al.
Summary of Multi-level Feedback Generation with Large Language Models For Empowering Novice Peer Counselors, by Alicja Chaszczewicz et al.
Summary of Rakutenai-7b: Extending Large Language Models For Japanese, by Rakuten Group Inc. et al.
Summary of Mogam: a Multimodal Object-oriented Graph Attention Model For Depression Detection, by Junyeop Cha et al.
Summary of On the Detection Of Anomalous or Out-of-distribution Data in Vision Models Using Statistical Techniques, by Laura O’mahony et al.
Summary of Emergent World Models and Latent Variable Estimation in Chess-playing Language Models, by Adam Karvonen
Summary of Sequential Decision-making For Inline Text Autocomplete, by Rohan Chitnis and Shentao Yang and Alborz Geramifard
Summary of A Causal Analysis Of Co2 Reduction Strategies in Electricity Markets Through Machine Learning-driven Metalearners, by Iman Emtiazi Naeini et al.
Summary of Multiple-input Auto-encoder Guided Feature Selection For Iot Intrusion Detection Systems, by Phai Vu Dinh et al.
Summary of Enhancing Effectiveness and Robustness in a Low-resource Regime Via Decision-boundary-aware Data Augmentation, by Kyohoon Jin et al.
Summary of Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness, By Jaeill Kim et al.
Summary of Conformal Online Model Aggregation, by Matteo Gasparin and Aaditya Ramdas
Summary of Gtc: Gnn-transformer Co-contrastive Learning For Self-supervised Heterogeneous Graph Representation, by Yundong Sun et al.
Summary of Do Not Trust What You Trust: Miscalibration in Semi-supervised Learning, by Shambhavi Mishra et al.
Summary of Anytime, Anywhere, Anyone: Investigating the Feasibility Of Segment Anything Model For Crowd-sourcing Medical Image Annotations, by Pranav Kulkarni et al.
Summary of A Stochastic Quasi-newton Method For Non-convex Optimization with Non-uniform Smoothness, by Zhenyu Sun and Ermin Wei
Summary of Comprehensive Reassessment Of Large-scale Evaluation Outcomes in Llms: a Multifaceted Statistical Approach, by Kun Sun et al.
Summary of Spectral Motion Alignment For Video Motion Transfer Using Diffusion Models, by Geon Yeong Park et al.
Summary of Federated Bayesian Deep Learning: the Application Of Statistical Aggregation Methods to Bayesian Models, by John Fischer et al.
Summary of Planning with a Learned Policy Basis to Optimally Solve Complex Tasks, by Guillermo Infante et al.
Summary of Controlled Training Data Generation with Diffusion Models, by Teresa Yeo et al.
Summary of Learning Topological Representations For Deep Image Understanding, by Xiaoling Hu
Summary of Simba: Simplified Mamba-based Architecture For Vision and Multivariate Time Series, by Badri N. Patro and Vijay S. Agneeswaran
Summary of Augmented Reality Based Simulated Data (arsim) with Multi-view Consistency For Av Perception Networks, by Aqeel Anwar et al.
Summary of Latte3d: Large-scale Amortized Text-to-enhanced3d Synthesis, by Kevin Xie et al.
Summary of Can Large Language Models Explore In-context?, by Akshay Krishnamurthy et al.
Summary of Attention Is All You Need For Boosting Graph Convolutional Neural Network, by Yinwei Wu
Summary of Diffusionmtl: Learning Multi-task Denoising Diffusion Model From Partially Annotated Data, by Hanrong Ye and Dan Xu
Summary of Fuzzy Hyperparameters Update in a Second Order Optimization, by Abdelaziz Bensadok et al.
Summary of Detection Of Opioid Users From Reddit Posts Via An Attention-based Bidirectional Recurrent Neural Network, by Yuchen Wang et al.
Summary of A Three-phases Sft Hybrid Model Integrated Strong Prior Module and Data Overlap Estimation in the Eduation Context, by Zhangquan Chen et al.
Summary of Federated Learning Based on Pruning and Recovery, by Chengjie Ma
Summary of Decoding Multilingual Topic Dynamics and Trend Identification Through Arima Time Series Analysis on Social Networks: a Novel Data Translation Framework Enhanced by Lda/hdp Models, By Samawel Jaballi et al.
Summary of Improving Sampling Methods For Fine-tuning Sentencebert in Text Streams, by Cristiano Mesquita Garcia et al.
Summary of Robust Conformal Prediction Under Distribution Shift Via Physics-informed Structural Causal Model, by Rui Xu et al.
Summary of Grey-informed Neural Network For Time-series Forecasting, by Wanli Xie and Ruibin Zhao and Zhenguo Xu and Tingting Liang
Summary of Estimation Of Multiple Mean Vectors in High Dimension, by Gilles Blanchard (lmo et al.
Summary of Dp-dueling: Learning From Preference Feedback Without Compromising User Privacy, by Aadirupa Saha et al.
Summary of Make Vlm Recognize Visual Hallucination on Cartoon Character Image with Pose Information, by Bumsoo Kim et al.
Summary of Broadening the Scope Of Neural Network Potentials Through Direct Inclusion Of Additional Molecular Attributes, by Guillem Simeon et al.
Summary of Gtagcn: Generalized Topology Adaptive Graph Convolutional Networks, by Sukhdeep Singh et al.
Summary of Simap: a Simplicial-map Layer For Neural Networks, by Rocio Gonzalez-diaz et al.
Summary of Automated Feature Selection For Inverse Reinforcement Learning, by Daulet Baimukashev et al.
Summary of Active Learning For Regression Based on Wasserstein Distance and Groupsort Neural Networks, by Benjamin Bobbia and Matthias Picard
Summary of Text Clustering with Large Language Model Embeddings, by Alina Petukhova et al.
Summary of Improved Long Short-term Memory-based Wastewater Treatment Simulators For Deep Reinforcement Learning, by Esmaeel Mohammadi et al.
Summary of On the Convergence Of Adam Under Non-uniform Smoothness: Separability From Sgdm and Beyond, by Bohan Wang and Huishuai Zhang and Qi Meng and Ruoyu Sun and Zhi-ming Ma and Wei Chen
Summary of Transition Graph Properties Of Target Class Classification, by Levon Aslanyan et al.
Summary of Exploring the Task-agnostic Trait Of Self-supervised Learning in the Context Of Detecting Mental Disorders, by Rohan Kumar Gupta and Rohit Sinha
Summary of Self-improvement For Neural Combinatorial Optimization: Sample Without Replacement, but Improvement, by Jonathan Pirnay and Dominik G. Grimm
Summary of Pde-cnns: Axiomatic Derivations and Applications, by Gijs Bellaard et al.
Summary of Your Image Is My Video: Reshaping the Receptive Field Via Image-to-video Differentiable Autoaugmentation and Fusion, by Sofia Casarin et al.
Summary of Early Period Of Training Impacts Adaptation For Out-of-distribution Generalization: An Empirical Study, by Chen Cecilia Liu and Iryna Gurevych
Summary of Reasoning-enhanced Object-centric Learning For Videos, by Jian Li et al.
Summary of Isplib: a Library For Accelerating Graph Neural Networks Using Auto-tuned Sparse Operations, by Md Saidul Hoque Anik et al.
Summary of Weatherproof: Leveraging Language Guidance For Semantic Segmentation in Adverse Weather, by Blake Gella and Howard Zhang and Rishi Upadhyay and Tiffany Chang and Nathan Wei and Matthew Waliman and Yunhao Ba and Celso De Melo and Alex Wong and Achuta Kadambi
Summary of Mean-field Analysis on Two-layer Neural Networks From a Kernel Perspective, by Shokichi Takakura et al.
Summary of Web-based Melanoma Detection, by Sanghyuk Kim et al.
Summary of Deep Learning-based Method For Weather Forecasting: a Case Study in Itoshima, by Yuzhong Cheng et al.
Summary of Coda: a Cost-efficient Test-time Domain Adaptation Mechanism For Har, by Minghui Qiu (dsa et al.
Summary of Unifying Lane-level Traffic Prediction From a Graph Structural Perspective: Benchmark and Baseline, by Shuhao Li et al.
Summary of Contrastive Learning on Multimodal Analysis Of Electronic Health Records, by Tianxi Cai et al.
Summary of A Single Linear Layer Yields Task-adapted Low-rank Matrices, by Hwichan Kim et al.
Summary of Addressing Concept Shift in Online Time Series Forecasting: Detect-then-adapt, by Yifan Zhang et al.
Summary of Knowla: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation, by Xindi Luo and Zequn Sun and Jing Zhao and Zhe Zhao and Wei Hu
Summary of Simple Graph Condensation, by Zhenbang Xiao et al.
Summary of Pose-aware Self-supervised Learning with Viewpoint Trajectory Regularization, by Jiayun Wang et al.
Summary of Adapprox: Adaptive Approximation in Adam Optimization Via Randomized Low-rank Matrices, by Pengxiang Zhao et al.
Summary of Piecewise-linear Manifolds For Deep Metric Learning, by Shubhang Bhatnagar and Narendra Ahuja
Summary of Parformer: a Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding, by Novendra Setyawan et al.
Summary of Magic For the Age Of Quantized Dnns, by Yoshihide Sawada et al.
Summary of Vehicle Detection Performance in Nordic Region, by Hamam Mokayed et al.
Summary of Empirical Investigation Of Multi-source Cross-validation in Clinical Ecg Classification, by Tuija Leinonen et al.
Summary of Insights Into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning, by Tausifa Jan Saleem et al.
Summary of Distributed Learning Based on 1-bit Gradient Coding in the Presence Of Stragglers, by Chengxi Li and Mikael Skoglund
Summary of Fedsr: a Semi-decentralized Federated Learning Algorithm For Non-iidness in Iot System, by Jianjun Huang et al.
Summary of Open Knowledge Base Canonicalization with Multi-task Learning, by Bingchen Liu et al.
Summary of Foundation Models For Time Series Analysis: a Tutorial and Survey, by Yuxuan Liang et al.
Summary of Auto-train-once: Controller Network Guided Automatic Network Pruning From Scratch, by Xidong Wu et al.
Summary of Fedmef: Towards Memory-efficient Federated Dynamic Pruning, by Hong Huang et al.
Summary of Improving Robustness to Model Inversion Attacks Via Sparse Coding Architectures, by Sayanton V. Dibbo et al.
Summary of A Task Of Anomaly Detection For a Smart Satellite Internet Of Things System, by Zilong Shao
Summary of Streamingt2v: Consistent, Dynamic, and Extendable Long Video Generation From Text, by Roberto Henschel et al.
Summary of Few-shot Adversarial Prompt Learning on Vision-language Models, by Yiwei Zhou et al.
Summary of Preventing Catastrophic Forgetting Through Memory Networks in Continuous Detection, by Gaurav Bhatt et al.
Summary of Deep Active Learning: a Reality Check, by Edrina Gashi et al.
Summary of Multi-agent Vqa: Exploring Multi-agent Foundation Models in Zero-shot Visual Question Answering, by Bowen Jiang et al.
Summary of Non-convex Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets, by Jie Wang and Rui Gao and Yao Xie
Summary of Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures, by Zeya Wang and Chenglong Ye
Summary of Curvature Augmented Manifold Embedding and Learning, by Yongming Liu
Summary of The Opportunities and Risks Of Large Language Models in Mental Health, by Hannah R. Lawrence et al.