Machine Learning

Machine Learning Revolutionizing Data Processing with Gradient Flow Encoding

A new method that efficiently simplifies complex data for better results.

Kyriakos Flouris, Anna Volokitin, Gustav Bredell

2025-04-04T05:16:22+00:00 ― 7 min read

Computer Vision and Pattern Recognition Privacy Risks in Deep Learning Models

Evaluating hidden outputs to protect sensitive data in AI systems.

Tao Huang, Qingyu Huang, Jiayang Meng

2025-04-04T00:11:11+00:00 ― 6 min read

Computation and Language Rethinking Language Model Evaluations: The Benchmark Issue

An in-depth look at current flaws in language model evaluations.

Sourav Banerjee, Ayushi Agarwal, Eishkaran Singh

2025-04-03T14:00:49+00:00 ― 7 min read

Artificial Intelligence Sharpening the Future of Language Models

Discover how language models improve their outputs through self-evaluation techniques.

Audrey Huang, Adam Block, Dylan J. Foster

2025-04-02T07:29:43+00:00 ― 7 min read

Machine Learning The Next Step in AI: Composition of Experts

Discover how Composition of Experts transforms AI effectiveness and efficiency.

Swayambhoo Jain, Ravi Raju, Bo Li

2025-04-02T02:24:32+00:00 ― 5 min read

Machine Learning Causal Discovery: The Science Behind Connections

Learn how researchers uncover cause-and-effect relationships in the world.

Abdelmonem Elrefaey, Rong Pan

2025-04-01T21:19:21+00:00 ― 8 min read

Computer Vision and Pattern Recognition Revolutionizing Medical Imaging with RaD

RaD improves comparisons of medical images, enhancing disease detection.

Nicholas Konz, Yuwen Chen, Hanxue Gu

2025-04-01T06:03:48+00:00 ― 6 min read

Machine Learning DVP-VAE: A New Era in Data Generation

Exploring the innovative DVP-VAE model for data generation in AI.

Anna Kuzina, Jakub M. Tomczak

2025-04-01T00:58:37+00:00 ― 8 min read

Computer Vision and Pattern Recognition Negative Token Merging: The Next Big Thing in AI Art

Learn how Negative Token Merging is changing AI image generation.

Jaskirat Singh, Lindsey Li, Weijia Shi

2025-03-31T19:53:26+00:00 ― 6 min read

Machine Learning Measuring Similarity: A Fun Dive into Distance Functions

Learn how machines measure similarity between items through distance functions and queries.

Akash Kumar, Sanjoy Dasgupta

2025-03-31T14:48:15+00:00 ― 6 min read

Machine Learning How Language Models Shift: A Deep Dive into BKT Transitions

Explore the connections between language models and physical phenomena in an engaging way.

Yuma Toji, Jun Takahashi, Vwani Roychowdhury

2025-03-31T09:43:04+00:00 ― 9 min read

Machine Learning Navigating Decision-Making: Preference-Based Exploration

Discover effective strategies for informed decision-making in uncertain environments.

Apurv Shukla, Debabrota Basu

2025-03-30T03:11:58+00:00 ― 9 min read

Machine Learning Candy Machines and Decision-Making: The Bandit Problem

Learn how candy machines illustrate decision-making challenges and solutions in uncertain scenarios.

Amaury Gouverneur, Borja Rodríguez-Gálvez, Tobias J. Oechtering

2025-03-29T06:51:14+00:00 ― 5 min read

Machine Learning Mastering Learning Rates in Machine Learning

Discover how learning rates impact the efficiency of algorithms.

Steve Hanneke, Mingyue Xu

2025-03-29T01:46:03+00:00 ― 5 min read

Machine Learning The Role of Robustness in Algorithmic Statistics

Discover how robustness enhances data analysis in algorithmic statistics.

Gautam Kamath

2025-03-28T15:35:41+00:00 ― 6 min read

Data Structures and Algorithms Efficient Graph Matching: Connecting the Dots

Explore innovative methods for matching graphs efficiently across complex networks.

Shuwen Chai, Miklós Z. Rácz

2025-03-28T10:30:30+00:00 ― 6 min read

Data Structures and Algorithms The Art of Consistent Decision-Making

Discover the balance between making great choices and staying consistent.

Paul Dütting, Federico Fusco, Silvio Lattanzi

2025-03-28T05:25:19+00:00 ― 4 min read

Machine Learning Mastering Bandit Problems: Decision-Making in AI

Learn about bandit problems and decision-making in uncertain environments.

Pengjie Zhou, Haoyu Wei, Huiming Zhang

2025-03-28T00:20:08+00:00 ― 5 min read

Optimization and Control Controlling Electrons: A New Frontier in Chemistry

Discover how researchers steer electron dynamics for advances in technology.

Harish S. Bhat, Hardeep Bassi, Christine M. Isborn

2025-03-26T17:49:02+00:00 ― 6 min read

Optimization and Control Mastering Feature Shifts in Machine Learning

Learn how feature shifts can improve classification outcomes in various fields.

Víctor Blanco, Alberto Japón, Justo Puerto

2025-03-26T07:38:40+00:00 ― 7 min read

Machine Learning Mastering Linear Regression: Understanding Covariate Dependency

Explore linear regression and how covariate dependency impacts predictions.

Behrad Moniri, Hamed Hassani

2025-03-26T02:33:29+00:00 ― 6 min read

Machine Learning Simplifying Complex Systems with Self-Test Loss Functions

Discover self-test loss functions that improve model accuracy in science and engineering.

Yuan Gao, Quanjun Lang, Fei Lu

2025-03-25T11:17:56+00:00 ― 7 min read

Machine Learning Advancements in Contrastive Learning Risk Certificates

New risk certificates improve contrastive learning model reliability and understanding.

Anna Van Elst, Debarghya Ghoshdastidar

2025-03-25T06:12:45+00:00 ― 6 min read

Machine Learning Advancements in Tensor Analysis with SBTR

A new model revolutionizes tensor data handling for researchers and scientists.

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

2025-03-25T01:07:34+00:00 ― 6 min read

Machine Learning Revolutionizing Sampling with Path-Guided Techniques

Learn about Path-Guided Particle-based Sampling and its real-world applications.

Mingzhou Fan, Ruida Zhou, Chao Tian

2025-03-24T20:02:23+00:00 ― 5 min read

Machine Learning Enhancing Deep Learning with FMGP

FMGP improves DNN predictions by estimating uncertainty, crucial for high-stakes applications.

Luis A. Ortega, Simón Rodríguez-Santana, Daniel Hernández-Lobato

2025-03-23T18:36:28+00:00 ― 7 min read

Machine Learning The Role of Bridge-Type Estimators in Statistics

Bridge-type estimators help identify key variables in complex data efficiently.

Alessandro De Gregorio, Francesco Iafrate

2025-03-23T13:31:17+00:00 ― 8 min read

Machine Learning Understanding Training Data Attribution in Machine Learning

Explore the significance and methods of Training Data Attribution in AI.

Dennis Wei, Inkit Padhi, Soumya Ghosh

2025-03-23T08:26:06+00:00 ― 6 min read

Disordered Systems and Neural Networks Predicting the Future with Support Vector Regression

Exploring machine learning’s SVR and its role in predictions amidst noise.

Abdulkadir Canatar, SueYeon Chung

2025-03-21T20:49:49+00:00 ― 7 min read

Statistics Theory Balancing Life and Quality in ALS Treatment

Exploring the need for quality-adjusted lifetime in healthcare decision-making.

Hao Sun, Ashkan Ertefaie, Luke Duttweiler

2025-03-21T15:44:38+00:00 ― 5 min read

Artificial Intelligence Unlocking the Power of Algebraic Circuits

Discover how algebraic circuits simplify complex problem-solving across multiple fields.

Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck

2025-03-21T00:29:05+00:00 ― 5 min read

Machine Learning Generative Modeling: Making Sense of Tabular Data

Learn how new methods improve data generation in the world of Deep Learning.

Aníbal Silva, André Restivo, Moisés Santos

2025-03-20T19:23:54+00:00 ― 10 min read

Machine Learning Revolutionizing Sample Quality Assessment with Polynomial Stein Discrepancy

A new method streamlines how we measure sample quality in statistical analysis.

Narayan Srinivasan, Matthew Sutton, Christopher Drovandi

2025-03-20T14:18:43+00:00 ― 8 min read

Computer Vision and Pattern Recognition Advancements in Video Prediction Models

New methods improve video predictions using less data.

Gaurav Shrivastava, Abhinav Shrivastava

2025-03-20T04:08:21+00:00 ― 6 min read

Machine Learning Optimizing Choices for Better Outcomes

Learn how global optimization improves decision-making across various fields.

Filippo Airaldi, Bart De Schutter, Azita Dabiri

2025-03-19T23:03:10+00:00 ― 13 min read

Quantum Physics Tensor Networks and the No-Free-Lunch Theorem: A Deep Dive

Explore the role of tensor networks in machine learning and their limitations.

Jing-Chuan Wu, Qi Ye, Dong-Ling Deng

2025-03-18T01:16:31+00:00 ― 7 min read

Machine Learning The Essential Guide to Writing a NeurIPS Paper

Follow these key tips to successfully write and submit your NeurIPS paper.

Sam Griesemer, Defu Cao, Zijun Cui

2025-03-17T20:11:20+00:00 ― 6 min read

Machine Learning Fairness in Data: A Balanced Approach

Exploring methods for fair machine learning through low-rank approximation and subset selection.

Zhao Song, Ali Vakilian, David P. Woodruff

2025-03-16T08:35:03+00:00 ― 5 min read

Machine Learning Reinforcement Learning in Finance: A Guide

Learn how reinforcement learning can optimize financial decision-making and strategies.

Lucky Li

2025-03-15T22:24:41+00:00 ― 6 min read

Methodology New Method for Analyzing Time-Series Data

A new approach simplifies comparisons of time-series data to identify key differences.

Kensuke Mitsuzawa, Margherita Grossi, Stefano Bortoli

2025-03-14T10:48:24+00:00 ― 6 min read

Statistics - Machine Learning