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.

Search paper metadata (including unsummarized papers)

9,421 to 9,480 of 15,226

When Do Neural Nets Outperform Boosted Trees on Tabular Data?
Duncan McElfresh, Sujay Khandagale, Jonathan Valverde +6
cs.LGcs.AIstat.MLarXiv:2305.02997v42023
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
Zaixi Zhang, Qi Liu, Hao Wang +2
q-bio.QMcs.AIcs.LGarXiv:2110.00987v22021
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
Meike Nauta, Ron van Bree, Christin Seifert
cs.CVcs.AIcs.LGarXiv:2012.02046v22020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu, Mozhi Zhang, Jingling Li +3
cs.LGcs.AIcs.CVarXiv:2009.11848v52020
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
N. Siddharth, Brooks Paige, Jan-Willem van de Meent +5
stat.MLcs.AIcs.LGarXiv:1706.00400v22017
The Risks of Invariant Risk Minimization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
cs.LGcs.AIstat.MLarXiv:2010.05761v22020
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
Tongwen Huang, Zhiqi Zhang, Junlin Zhang
cs.LGcs.AIstat.MLarXiv:1905.09433v12019
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Jing Xu, Arthur Szlam, Jason Weston
cs.CLcs.AIarXiv:2107.07567v12021
AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du, Jindong Wang, Wenjie Feng +4
cs.LGcs.AIarXiv:2108.04443v22021
Stochastic Neural Networks for Hierarchical Reinforcement Learning
Carlos Florensa, Yan Duan, Pieter Abbeel
cs.AIcs.LGcs.NEarXiv:1704.03012v12017
A survey of Bayesian Network structure learning
Neville K. Kitson, Anthony C. Constantinou, Zhigao Guo +2
cs.LGcs.AIarXiv:2109.11415v22021
HP-GAN: Probabilistic 3D human motion prediction via GAN
Emad Barsoum, John Kender, Zicheng Liu
cs.CVcs.AIcs.HCarXiv:1711.09561v12017
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal, Chongli Qin, Jonathan Uesato +2
stat.MLcs.AIcs.LGarXiv:2010.03593v32020
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng, Tabish Rashid, Christian A. Schroeder de Witt +4
cs.LGcs.AIstat.MLarXiv:2003.06709v52020
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Leon Derczynski, Kalina Bontcheva, Maria Liakata +3
cs.CLcs.AIarXiv:1704.05972v12017
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections
Ofir Nachum, Yinlam Chow, Bo Dai +1
cs.LGcs.AIstat.MLarXiv:1906.04733v22019
UltraFeedback: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding +9
cs.CLcs.AIcs.LGarXiv:2310.01377v22023
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat, Trapit Bansal, Yuri Burda +3
cs.LGcs.AIarXiv:1710.03641v22017
Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification
Mansour Ahmadi, Dmitry Ulyanov, Stanislav Semenov +2
cs.CRcs.AIarXiv:1511.04317v22015
LoRA Learns Less and Forgets Less
Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz +9
cs.LGcs.AIcs.CLarXiv:2405.09673v22024
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Hao Shao, Letian Wang, RuoBing Chen +2
cs.CVcs.AIcs.LGarXiv:2207.14024v52022
State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1
cs.AIcs.LGstat.MLarXiv:1802.04181v22018
Personalize Segment Anything Model with One Shot
Renrui Zhang, Zhengkai Jiang, Ziyu Guo +6
cs.CVcs.AIcs.CLarXiv:2305.03048v22023
AutoCodeRover: Autonomous Program Improvement
Yuntong Zhang, Haifeng Ruan, Zhiyu Fan +1
cs.SEcs.AIarXiv:2404.05427v32024
Document Embedding with Paragraph Vectors
Andrew M. Dai, Christopher Olah, Quoc V. Le
cs.CLcs.AIcs.LGarXiv:1507.07998v12015
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
Peter Hase, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2005.01831v12020
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves +2
cs.CLcs.AIarXiv:2202.03829v22022
RealFusion: 360° Reconstruction of Any Object from a Single Image
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina +1
cs.CVcs.AIcs.LGarXiv:2302.10663v22023
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal +2
cs.LGcs.AIcs.CVarXiv:2303.16203v32023
Visual Semantic Navigation using Scene Priors
Wei Yang, Xiaolong Wang, Ali Farhadi +2
cs.CVcs.AIcs.ROarXiv:1810.06543v12018
AI Deception: A Survey of Examples, Risks, and Potential Solutions
Peter S. Park, Simon Goldstein, Aidan O'Gara +2
cs.CYcs.AIcs.HCarXiv:2308.14752v12023
A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMs
Yifan Song
cs.CLcs.AIarXiv:2608.26177v12026
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma +2
cs.AIcs.LGstat.MLarXiv:1809.01852v32018
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
Petrônio C. L. Silva, Paulo V. C. Batista, Hélder S. Lima +3
cs.AIphysics.soc-pharXiv:2006.10532v22020
Social Biases in NLP Models as Barriers for Persons with Disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton +3
cs.CLcs.AIcs.LGarXiv:2005.00813v12020
Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
Eun Seo Jo, Timnit Gebru
cs.LGcs.AIcs.CYarXiv:1912.10389v12019
Pros and Cons of GAN Evaluation Measures: New Developments
Ali Borji
cs.LGcs.AIcs.CVarXiv:2103.09396v32021
Meta-Gradient Reinforcement Learning
Zhongwen Xu, Hado van Hasselt, David Silver
cs.LGcs.AIstat.MLarXiv:1805.09801v12018
Concept Whitening for Interpretable Image Recognition
Zhi Chen, Yijie Bei, Cynthia Rudin
cs.LGcs.AIcs.CVarXiv:2002.01650v52020
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li, David Eigen, Samuel Dodge +2
cs.CVcs.AIarXiv:1905.11116v12019
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna +3
cs.CVcs.AIcs.CLarXiv:2402.07865v22024
Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good
Xuewei Wang, Weiyan Shi, Richard Kim +4
cs.CLcs.AIcs.CYarXiv:1906.06725v22019
End-to-End Task-Completion Neural Dialogue Systems
Xiujun Li, Yun-Nung Chen, Lihong Li +2
cs.CLcs.AIarXiv:1703.01008v42017
Why RAGs Hallucinate: Penalty-Aware Evaluation of Retrieval-Augmented Generation Systems with Knowledge-Gap Canaries
Alden Do Rosario, Hussein Younes, Felipe Pires
cs.CLcs.AIarXiv:2608.26385v12026
HuatuoGPT, towards Taming Language Model to Be a Doctor
Hongbo Zhang, Junying Chen, Feng Jiang +10
cs.CLcs.AIarXiv:2305.15075v12023
Task2Vec: Task Embedding for Meta-Learning
Alessandro Achille, Michael Lam, Rahul Tewari +5
cs.LGcs.AIstat.MLarXiv:1902.03545v12019
Human heuristics for AI-generated language are flawed
Maurice Jakesch, Jeffrey Hancock, Mor Naaman
cs.CLcs.AIcs.CYarXiv:2206.07271v42022
A Survey on Natural Language Processing for Fake News Detection
Ray Oshikawa, Jing Qian, William Yang Wang
cs.CLcs.AIarXiv:1811.00770v22018
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems
Zana Buçinca, Phoebe Lin, Krzysztof Z. Gajos +1
cs.AIcs.HCarXiv:2001.08298v12020
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Jianlin Su, Jiarun Cao, Weijie Liu +1
cs.CLcs.AIcs.LGarXiv:2103.15316v12021
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach
Minhao Cheng, Thong Le, Pin-Yu Chen +3
cs.LGcs.AIstat.MLarXiv:1807.04457v12018
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks
Cunchao Zhu, Muhao Chen, Changjun Fan +2
cs.AIcs.CLcs.LGarXiv:2012.08492v22020
Efficient Informative Sensing using Multiple Robots
Amarjeet Singh, Andreas Krause, Carlos Guestrin +1
cs.ROcs.AIarXiv:1401.3462v12014
Explaining Recurrent Neural Network Predictions in Sentiment Analysis
Leila Arras, Grégoire Montavon, Klaus-Robert Müller +1
cs.CLcs.AIcs.NEarXiv:1706.07206v22017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such +3
cs.AIarXiv:1712.06560v32017
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Daniel Dauner, Marcel Hallgarten, Tianyu Li +9
cs.CVcs.AIcs.LGarXiv:2406.15349v22024
Can language models learn from explanations in context?
Andrew K. Lampinen, Ishita Dasgupta, Stephanie C. Y. Chan +6
cs.CLcs.AIcs.LGarXiv:2204.02329v42022
3D-VLA: A 3D Vision-Language-Action Generative World Model
Haoyu Zhen, Xiaowen Qiu, Peihao Chen +5
cs.CVcs.AIcs.CLarXiv:2403.09631v12024
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
Renhe Jiang, Zhaonan Wang, Jiawei Yong +6
cs.LGcs.AIarXiv:2211.14701v42022
A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn, Paul Christiano, Pieter Abbeel +1
cs.LGcs.AIarXiv:1611.03852v32016

Artificial Intelligence

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

Neural Prototype Trees for Interpretable Fine-grained Image Recognition

How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks

Learning Disentangled Representations with Semi-Supervised Deep Generative Models

The Risks of Invariant Risk Minimization

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

AdaRNN: Adaptive Learning and Forecasting of Time Series

Stochastic Neural Networks for Hierarchical Reinforcement Learning

A survey of Bayesian Network structure learning

HP-GAN: Probabilistic 3D human motion prediction via GAN

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

FACMAC: Factored Multi-Agent Centralised Policy Gradients

SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours

DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

LoRA Learns Less and Forgets Less

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer

State Representation Learning for Control: An Overview

Personalize Segment Anything Model with One Shot

AutoCodeRover: Autonomous Program Improvement

Document Embedding with Paragraph Vectors

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?

TimeLMs: Diachronic Language Models from Twitter

RealFusion: 360° Reconstruction of Any Object from a Single Image

Your Diffusion Model is Secretly a Zero-Shot Classifier

Visual Semantic Navigation using Scene Priors

AI Deception: A Survey of Examples, Risks, and Potential Solutions

A Multi-Framework Comparison of Outline Stages in Long-Form Generation with LLMs

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions

Social Biases in NLP Models as Barriers for Persons with Disabilities

Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning

Pros and Cons of GAN Evaluation Measures: New Developments

Meta-Gradient Reinforcement Learning

Concept Whitening for Interpretable Image Recognition

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

End-to-End Task-Completion Neural Dialogue Systems

Why RAGs Hallucinate: Penalty-Aware Evaluation of Retrieval-Augmented Generation Systems with Knowledge-Gap Canaries

HuatuoGPT, towards Taming Language Model to Be a Doctor

Task2Vec: Task Embedding for Meta-Learning

Human heuristics for AI-generated language are flawed

A Survey on Natural Language Processing for Fake News Detection

Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems

Whitening Sentence Representations for Better Semantics and Faster Retrieval

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

Efficient Informative Sensing using Multiple Robots

Explaining Recurrent Neural Network Predictions in Sentiment Analysis

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Can language models learn from explanations in context?

3D-VLA: A 3D Vision-Language-Action Generative World Model

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models