AI Research Papers | Ranked by FNI

paper

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

ARCH: paper

GNNExplainer: Generating Explanations for Graph Neural Networks

A Survey on Contrastive Self-supervised Learning

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models

Adapted large language models can outperform medical experts in clinical text summarization

Artificial intelligence and sustainable development

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

Multi-step Jailbreaking Privacy Attacks on ChatGPT

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Utility of ChatGPT in Clinical Practice

Big Data: Deep Learning for financial sentiment analysis

A Survey of Privacy Attacks in Machine Learning

Deep Learning for Time Series Forecasting: The Electric Load Case

Measuring the Carbon Intensity of AI in Cloud Instances

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Bayesian optimization for materials design

Visual Representations for Semantic Target Driven Navigation

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

Socially intelligent robots: dimensions of human–robot interaction

Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications

Image segmentation evaluation: A survey of unsupervised methods

Evaluating Commonsense in Pre-trained Language Models

GLUECoS: An Evaluation Benchmark for Code-Switched NLP

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives

Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators.

Semantic Ambiguity and Perceived Ambiguity

Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem

Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT

Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis

Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers

From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

An adaptive pig face recognition approach using Convolutional Neural Networks

Explainable Deep Learning Methods in Medical Image Classification: A Survey

Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed

The combine will tell the truth: On precision agriculture and algorithmic rationality

Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics

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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

GNNExplainer: Generating Explanations for Graph Neural Networks

A Survey on Contrastive Self-supervised Learning

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data

RWKV: Reinventing RNNs for the Transformer Era

The Algorithmic Foundations of Differential Privacy

Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models

Adapted large language models can outperform medical experts in clinical text summarization

Artificial intelligence and sustainable development

Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

Multi-step Jailbreaking Privacy Attacks on ChatGPT

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Utility of ChatGPT in Clinical Practice

Big Data: Deep Learning for financial sentiment analysis

A Survey of Privacy Attacks in Machine Learning

Deep Learning for Time Series Forecasting: The Electric Load Case

Measuring the Carbon Intensity of AI in Cloud Instances

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Bayesian optimization for materials design

Visual Representations for Semantic Target Driven Navigation

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances

Socially intelligent robots: dimensions of human–robot interaction

Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications

Image segmentation evaluation: A survey of unsupervised methods

Evaluating Commonsense in Pre-trained Language Models

GLUECoS: An Evaluation Benchmark for Code-Switched NLP

Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review

ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives

Validating the bivariate extreme value modeling approach for road safety estimation with different traffic conflict indicators.

Semantic Ambiguity and Perceived Ambiguity

Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem

Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT

Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis

Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers

From Counterculture to Cyberculture: Stewart Brand, the Whole Earth Network, and the Rise of Digital Utopianism

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

An adaptive pig face recognition approach using Convolutional Neural Networks

Explainable Deep Learning Methods in Medical Image Classification: A Survey

Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed

The combine will tell the truth: On precision agriculture and algorithmic rationality

Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics