Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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9,241 to 9,300 of 15,328

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Xiaotong Gu, Zehong Cao, Alireza Jolfaei +4
eess.SPcs.AIcs.HCarXiv:2001.11337v12020
Towards Semantic Communications: Deep Learning-Based Image Semantic Coding
Danlan Huang, Feifei Gao, Xiaoming Tao +2
cs.CVcs.AIarXiv:2208.04094v12022
Pose Flow: Efficient Online Pose Tracking
Yuliang Xiu, Jiefeng Li, Haoyu Wang +2
cs.CVcs.AIarXiv:1802.00977v22018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust, Oscar Ramirez, Marek Fiser +4
cs.AIcs.LGcs.ROarXiv:1710.03937v22017
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
cs.CEcs.AIcs.LGarXiv:2012.05841v32020
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell, Guanya Shi, Xichen Shi +4
cs.ROcs.AIcs.LGarXiv:2205.06908v22022
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang, Peng Cui, Renzhe Xu +3
cs.LGcs.AIcs.CVarXiv:2104.07876v12021
Loss Functions and Metrics in Deep Learning
Juan Terven, Diana M. Cordova-Esparza, Alfonso Ramirez-Pedraza +2
cs.LGcs.AIcs.CVarXiv:2307.02694v52023
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Håkon Hukkelås, Rudolf Mester, Frank Lindseth
cs.CVcs.AIcs.LGarXiv:1909.04538v12019
Explainability Techniques for Graph Convolutional Networks
Federico Baldassarre, Hossein Azizpour
cs.LGcs.AIstat.MLarXiv:1905.13686v12019
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou +1
cs.CLcs.AIcs.CRarXiv:2104.13733v12021
AFlow: Automating Agentic Workflow Generation
Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu +11
cs.AIcs.CLcs.LGarXiv:2410.10762v42024
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín +13
cs.ROcs.AIcs.CVarXiv:2108.03272v42021
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
S Sakshi, Utkarsh Tyagi, Sonal Kumar +6
eess.AScs.AIcs.CLarXiv:2410.19168v12024
Large Language Model Unlearning
Yuanshun Yao, Xiaojun Xu, Yang Liu
cs.CLcs.AIcs.LGarXiv:2310.10683v22023
Towards artificial general intelligence via a multimodal foundation model
Nanyi Fei, Zhiwu Lu, Yizhao Gao +9
cs.AIarXiv:2110.14378v22021
Continuous Time Bayesian Networks
Uri Nodelman, Christian R. Shelton, Daphne Koller
cs.AIarXiv:1301.0591v12012
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks
Chuan Shi, Xiangnan Kong, Yue Huang +2
cs.IRcs.AIarXiv:1309.7393v12013
Simple random search provides a competitive approach to reinforcement learning
Horia Mania, Aurelia Guy, Benjamin Recht
cs.LGcs.AImath.OCarXiv:1803.07055v12018
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng, Zhaohui Wang, Muhan Zhang
cs.LGcs.AIarXiv:2404.02948v42024
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
Paul Denny, Viraj Kumar, Nasser Giacaman
cs.HCcs.AIarXiv:2210.15157v12022
Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4
Hanmeng Liu, Ruoxi Ning, Zhiyang Teng +3
cs.CLcs.AIarXiv:2304.03439v32023
Legged Locomotion in Challenging Terrains using Egocentric Vision
Ananye Agarwal, Ashish Kumar, Jitendra Malik +1
cs.ROcs.AIcs.CVarXiv:2211.07638v12022
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective
Kun Yi, Qi Zhang, Wei Fan +6
cs.LGcs.AIarXiv:2311.06190v12023
Autoformalization with Large Language Models
Yuhuai Wu, Albert Q. Jiang, Wenda Li +4
cs.LGcs.AIcs.LOarXiv:2205.12615v12022
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar, Chirag Agarwal, Suraj Srinivas +3
cs.CLcs.AIcs.CRarXiv:2309.02705v42023
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
cs.CLcs.AIcs.CVarXiv:2206.06522v22022
RDD2022: A multi-national image dataset for automatic Road Damage Detection
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh +2
cs.CVcs.AIcs.LGarXiv:2209.08538v12022
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano +1
cs.LGcs.AIarXiv:2010.03950v22020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
Wenhan Wang, Ge Li, Bo Ma +2
cs.SEcs.AIarXiv:2002.08653v12020
MMKG: Multi-Modal Knowledge Graphs
Ye Liu, Hui Li, Alberto Garcia-Duran +3
cs.AIcs.CLarXiv:1903.05485v12019
Distribution-Free, Risk-Controlling Prediction Sets
Stephen Bates, Anastasios Angelopoulos, Lihua Lei +2
cs.LGcs.AIcs.CVarXiv:2101.02703v32021
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Jiaqi Chen, Jianheng Tang, Jinghui Qin +4
cs.AIarXiv:2105.14517v32021
Large Language Model Guided Tree-of-Thought
Jieyi Long
cs.AIcs.CLcs.CVarXiv:2305.08291v12023
A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company
Mustafa Batuhan Ayhan
cs.AIarXiv:1311.2886v12013
Deep Reinforcement Learning-based Image Captioning with Embedding Reward
Zhou Ren, Xiaoyu Wang, Ning Zhang +2
cs.CVcs.AIarXiv:1704.03899v12017
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI
Dakuo Wang, Justin D. Weisz, Michael Muller +6
cs.HCcs.AIcs.LGarXiv:1909.02309v12019
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang, Muhan Zhang
cs.LGcs.AIarXiv:2205.11172v22022
Efficiently Identifying Task Groupings for Multi-Task Learning
Christopher Fifty, Ehsan Amid, Zhe Zhao +3
cs.LGcs.AIcs.CVarXiv:2109.04617v22021
Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach +2
cs.LGcs.AIcs.CVarXiv:2111.00210v22021
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
Jason D. Williams, Kavosh Asadi, Geoffrey Zweig
cs.AIcs.CLarXiv:1702.03274v22017
Generalization and Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Zheng Wen
stat.MLcs.AIcs.LGarXiv:1402.0635v32014
Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning
Binyu Wang, Zhe Liu, Qingbiao Li +1
cs.ROcs.AIcs.LGarXiv:2005.05420v22020
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap
Q. Vera Liao, Jennifer Wortman Vaughan
cs.HCcs.AIcs.CYarXiv:2306.01941v22023
Want To Reduce Labeling Cost? GPT-3 Can Help
Shuohang Wang, Yang Liu, Yichong Xu +2
cs.CLcs.AIarXiv:2108.13487v12021
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Piji Li, Zihao Wang, Zhaochun Ren +2
cs.CLcs.AIcs.IRarXiv:1708.00154v12017
Deep Exploration via Randomized Value Functions
Ian Osband, Benjamin Van Roy, Daniel Russo +1
stat.MLcs.AIcs.LGarXiv:1703.07608v52017
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs
Majeed Kazemitabaar, Runlong Ye, Xiaoning Wang +4
cs.HCcs.AIarXiv:2401.11314v22024
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification
Shiqi Wang, Huan Zhang, Kaidi Xu +4
cs.LGcs.AIcs.CRarXiv:2103.06624v22021
Online Learning under Delayed Feedback
Pooria Joulani, András György, Csaba Szepesvári
cs.LGcs.AIstat.MLarXiv:1306.0686v22013
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Alex Gu, Baptiste Rozière, Hugh Leather +3
cs.SEcs.AIcs.LGarXiv:2401.03065v12024
Human-Centered Artificial Intelligence and Machine Learning
Mark O. Riedl
cs.AIarXiv:1901.11184v12019
3D Neural Field Generation using Triplane Diffusion
J. Ryan Shue, Eric Ryan Chan, Ryan Po +3
cs.CVcs.AIcs.GRarXiv:2211.16677v12022
Transformer for Partial Differential Equations' Operator Learning
Zijie Li, Kazem Meidani, Amir Barati Farimani
cs.LGcs.AIarXiv:2205.13671v32022
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli, Fabio Pardo, Petar Kormushev
cs.LGcs.AIarXiv:1711.08946v22017
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Yu Gu, Sue Kase, Michelle Vanni +4
cs.CLcs.AIcs.LGarXiv:2011.07743v62020
The Alignment Problem from a Deep Learning Perspective
Richard Ngo, Lawrence Chan, Sören Mindermann
cs.AIcs.LGarXiv:2209.00626v82022
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu, Jilin Hu, Lekui Zhou +8
cs.LGcs.AIcs.CYarXiv:2403.20150v42024
HumanPlus: Humanoid Shadowing and Imitation from Humans
Zipeng Fu, Qingqing Zhao, Qi Wu +2
cs.ROcs.AIcs.CVarXiv:2406.10454v12024

Artificial Intelligence

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications

Towards Semantic Communications: Deep Learning-Based Image Semantic Coding

Pose Flow: Efficient Online Pose Tracking

PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning

A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

Deep Stable Learning for Out-Of-Distribution Generalization

Loss Functions and Metrics in Deep Learning

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

Explainability Techniques for Graph Convolutional Networks

Gradient-based Adversarial Attacks against Text Transformers

AFlow: Automating Agentic Workflow Generation

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Large Language Model Unlearning

Towards artificial general intelligence via a multimodal foundation model

Continuous Time Bayesian Networks

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

Simple random search provides a competitive approach to reinforcement learning

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Legged Locomotion in Challenging Terrains using Egocentric Vision

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Autoformalization with Large Language Models

Certifying LLM Safety against Adversarial Prompting

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning

RDD2022: A multi-national image dataset for automatic Road Damage Detection

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

MMKG: Multi-Modal Knowledge Graphs

Distribution-Free, Risk-Controlling Prediction Sets

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Large Language Model Guided Tree-of-Thought

A Fuzzy AHP Approach for Supplier Selection Problem: A Case Study in a Gear Motor Company

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

How Powerful are Spectral Graph Neural Networks

Efficiently Identifying Task Groupings for Multi-Task Learning

Mastering Atari Games with Limited Data

Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

Generalization and Exploration via Randomized Value Functions

Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning

AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap

Want To Reduce Labeling Cost? GPT-3 Can Help

Neural Rating Regression with Abstractive Tips Generation for Recommendation

Deep Exploration via Randomized Value Functions

CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification

Online Learning under Delayed Feedback

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Human-Centered Artificial Intelligence and Machine Learning

3D Neural Field Generation using Triplane Diffusion

Transformer for Partial Differential Equations' Operator Learning

Action Branching Architectures for Deep Reinforcement Learning

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

The Alignment Problem from a Deep Learning Perspective

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

HumanPlus: Humanoid Shadowing and Imitation from Humans