Computer Science - Machine Learning

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Machine Learning Examining Neural Encodings in CNNs

A look into how CNNs learn image features and their universal similarities.

Florentin Guth, Brice Ménard

2025-06-03T21:06:24+00:00 ― 7 min read

Computation and Language Efficient Fine-Tuning for Language Models

A new method offers quick performance estimations for fine-tuning language models.

Dongyue Li, Ziniu Zhang, Lu Wang

2025-06-03T20:58:30+00:00 ― 4 min read

Machine Learning Challenges and Opportunities in Riemannian Multi-Layer Regression

Analyzing over-parameterization in RMLR and future research directions.

Ziheng Chen, Yue Song, Rui Wang

2025-06-03T20:26:54+00:00 ― 6 min read

Human-Computer Interaction Researchers Weigh Pros and Cons of LLMs in Qualitative Research

A deep look into researchers’ views on using language models in qualitative studies.

Shivani Kapania, William Agnew, Motahhare Eslami

2025-06-03T20:19:00+00:00 ― 17 min read

Machine Learning Advancements in Multivariate Time Series Analysis with STVNN

STVNN offers a robust solution for analyzing complex data over time.

Andrea Cavallo, Mohammad Sabbaqi, Elvin Isufi

2025-06-03T20:06:24+00:00 ― 6 min read

Machine Learning Advancements in Multi-Agent Sparse Training for AI

MAST improves efficiency in training multiple AI agents through sparse methods.

Pihe Hu, Shaolong Li, Zhuoran Li

2025-06-03T19:15:48+00:00 ― 7 min read

Machine Learning Enhancing Machine Learning Models with Test-Time Adaptation

Learn how machine learning models can improve when facing new and unseen data.

Zongbo Han, Jialong Yang, Junfan Li

2025-06-03T19:07:54+00:00 ― 7 min read

Computation and Language Enhancing Visual Question Decomposition in Multimodal Models

Exploring methods to improve multimodal models in breaking down visual questions.

Haowei Zhang, Jianzhe Liu, Zhen Han

2025-06-03T18:52:06+00:00 ― 6 min read

Computation and Language Advancements in Textless Speech Processing Techniques

New methods improve speech recognition for low-resource languages without text.

Krithiga Ramadass, Abrit Pal Singh, Srihari J

2025-06-03T18:32:35+00:00 ― 4 min read

Machine Learning Advancements in Online Continual Learning Framework

A new framework improves learning efficiency in online continual learning.

Xinrui Wang, Chuanxing Geng, Wenhai Wan

2025-06-03T17:01:30+00:00 ― 5 min read

Machine Learning Introducing Zorro Activation Functions for Neural Networks

Zorro functions provide smooth solutions for enhanced neural network performance.

Matias Roodschild, Jorge Gotay-Sardiñas, Victor A. Jimenez

2025-06-03T16:37:48+00:00 ― 5 min read

Cryptography and Security New Method for Detecting Android Malware

A framework using MLP and SVM identifies Android malware effectively.

Safayat Bin Hakim, Muhammad Adil, Kamal Acharya

2025-06-03T16:29:54+00:00 ― 7 min read

Machine Learning Simplifying Large Problems with Sketch-and-Solve

A method to efficiently approach complex least squares challenges.

Alex Lavaee

2025-06-03T16:27:55+00:00 ― 5 min read

Artificial Intelligence Assessing Planning Skills of OpenAI's o1 Models

A look at how o1 models plan actions and their performance across various tasks.

Kevin Wang, Junbo Li, Neel P. Bhatt

2025-06-03T16:14:06+00:00 ― 7 min read

Machine Learning Adjusting Learning Rates for Large Language Models

This article examines how training length affects learning rates in LLMs.

Johan Bjorck, Alon Benhaim, Vishrav Chaudhary

2025-06-03T15:34:36+00:00 ― 6 min read

Machine Learning Addressing Vulnerabilities in Federated Learning: A New Approach

A new method to improve Federated Learning's resilience against data attacks.

Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar

2025-06-03T15:26:42+00:00 ― 8 min read

Biomolecules Evaluating Protein-Ligand Interaction Predictions

Examining the importance of protein-ligand interactions in model predictions.

David Errington, Constantin Schneider, Cédric Bouysset

2025-06-03T14:59:18+00:00 ― 5 min read

Machine Learning Advancing Multimodal Generative Models with Energy-Based Approaches

A new framework improves data generation across multiple sources using energy-based models.

Shiyu Yuan, Jiali Cui, Hanao Li

2025-06-03T14:55:06+00:00 ― 5 min read

Computer Vision and Pattern Recognition Enhancing Vision Transformers with Spatial Analysis

SATA improves the robustness and efficiency of Vision Transformers for image classification tasks.

Nick Nikzad, Yi Liao, Yongsheng Gao

2025-06-03T14:47:12+00:00 ― 4 min read

Machine Learning Counter-Current Learning: A New Approach to Neural Networks

Introducing counter-current learning as a natural alternative to traditional training methods.

Chia-Hsiang Kao, Bharath Hariharan

2025-06-03T14:31:24+00:00 ― 8 min read

Robotics Teaching Robots to Collaborate with Human Guidance

A new method helps robots learn teamwork through human support.

Zhengran Ji, Lingyu Zhang, Paul Sajda

2025-06-03T14:15:36+00:00 ― 6 min read

Machine Learning Improving Confidence in Language Models

This method enhances the reliability of language model confidence scores.

Johnathan Xie, Annie S. Chen, Yoonho Lee

2025-06-03T14:07:42+00:00 ― 5 min read

Machine Learning Navigating the Challenges of Data Usage in Machine Learning Models

Understanding the complexities of proving data usage in AI training.

Jie Zhang, Debeshee Das, Gautam Kamath

2025-06-03T13:36:06+00:00 ― 7 min read

Robotics Teaching Robots to Learn from Human Videos

A new method helps robots learn tasks using online human videos, reducing training needs.

Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta

2025-06-03T12:52:30+00:00 ― 6 min read

Computation and Language Enhancing Large Language Models with Synthetic Data Strategies

This study explores effective methods for generating synthetic data for language model training.

Yung-Chieh Chan, George Pu, Apaar Shanker

2025-06-03T12:25:00+00:00 ― 12 min read

Biomolecules Advancing Yield Prediction with AI Techniques

A new tool improves predictions for chemical reaction yields using AI.

Xiao Hu, Ziqi Chen, Bo Peng

2025-06-03T12:06:15+00:00 ― 8 min read

Machine Learning Next-Generation Time Series Prediction Method

A new approach enhances forecasting accuracy in time series analysis.

Yu Chen, Marin Biloš, Sarthak Mittal

2025-06-03T11:45:44+00:00 ― 5 min read

Machine Learning Pruning Techniques in Neural Networks: Performance and Interpretability

Analyzing the effects of pruning methods on GoogLeNet's performance and interpretability.

Jonathan von Rad, Florian Seuffert

2025-06-03T11:45:30+00:00 ― 5 min read

Machine Learning New Datasets for Pressure Prediction and Kick Detection in Drilling

Two new datasets enhance research on drilling operations and safety.

Murshedul Arifeen, Andrei Petrovski, Md Junayed Hasan

2025-06-03T11:37:36+00:00 ― 5 min read

Machine Learning Improving Vision-Language Models with Noisy Labels

A method to enhance model performance despite incorrect data labels.

Tong Wei, Hao-Tian Li, Chun-Shu Li

2025-06-03T11:06:00+00:00 ― 7 min read

Computational Complexity Smooth Boosting: A New Approach in Machine Learning

This article explores smooth boosting and its advantages in model training.

Guy Blanc, Alexandre Hayderi, Caleb Koch

2025-06-03T10:55:40+00:00 ― 6 min read

Machine Learning Adapting Time-Series Data Without Source Access

A novel method for adapting time-series data without needing source information.

Yucheng Wang, Peiliang Gong, Min Wu

2025-06-03T10:02:48+00:00 ― 7 min read

Machine Learning Improving RUL Prediction with Graph Neural Networks

Learn how GNNs enhance Remaining Useful Life predictions for industrial equipment.

Yucheng Wang, Min Wu, Xiaoli Li

2025-06-03T09:54:54+00:00 ― 8 min read

Machine Learning DuoGNN: A New Approach to Graph Neural Networks

DuoGNN enhances graph analysis by separating node interactions for improved performance.

K. Mancini, I. Rekik

2025-06-03T09:31:12+00:00 ― 5 min read

Machine Learning Advancing Federated Learning with Prompt-Based Strategies

Combining global and local prompts enhances federated learning models while preserving data privacy.

Bikang Pan, Wei Huang, Ye Shi

2025-06-03T09:23:18+00:00 ― 6 min read

Machine Learning Improving Naive Bayes Classifier Performance with Variable Weighting

A new method enhances Naive Bayes classifier efficiency by estimating variable weights.

Carine Hue, Marc Boullé

2025-06-03T08:25:28+00:00 ― 5 min read

Machine Learning Innovative Framework for Labor Market Forecasting

A new model offers insights into job trends while protecting sensitive data.

Zhuoning Guo, Hao Liu, Le Zhang

2025-06-03T08:12:12+00:00 ― 6 min read

Audio and Speech Processing Improving Speech Recognition for Child-Adult Conversations

Evaluating speech recognition models for autism diagnostic sessions.

Aditya Ashvin, Rimita Lahiri, Aditya Kommineni

2025-06-03T08:01:00+00:00 ― 6 min read

Computational Finance Reinforcement Learning: A Game Changer in Finance

Reinforcement Learning adapts strategies for better financial decision-making.

Yahui Bai, Yuhe Gao, Runzhe Wan

2025-06-03T07:58:59+00:00 ― 5 min read

Machine Learning Advancing Longitudinal Data Analysis with LMM-VAE

A new model improves analysis of longitudinal datasets with multiple covariates.

Priscilla Ong, Manuel Haußmann, Otto Lönnroth

2025-06-03T07:35:24+00:00 ― 5 min read