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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9,181 to 9,240 of 15,439

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis +1
cs.LGcs.AIcs.ITarXiv:1709.02023v22017
Non-Local Color Image Denoising with Convolutional Neural Networks
Stamatios Lefkimmiatis
cs.CVcs.AIarXiv:1611.06757v22016
EDICT: Exact Diffusion Inversion via Coupled Transformations
Bram Wallace, Akash Gokul, Nikhil Naik
cs.CVcs.AIcs.LGarXiv:2211.12446v22022
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao +4
cs.CLcs.AIarXiv:1809.05972v52018
Holodeck: Language Guided Generation of 3D Embodied AI Environments
Yue Yang, Fan-Yun Sun, Luca Weihs +11
cs.CVcs.AIcs.CLarXiv:2312.09067v22023
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
Chiyu Max Jiang, Andre Cornman, Cheolho Park +3
cs.ROcs.AIarXiv:2306.03083v12023
Ontology based Scene Creation for the Development of Automated Vehicles
Gerrit Bagschik, Till Menzel, Markus Maurer
cs.AIcs.ROarXiv:1704.01006v52017
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Jiabo Ye, Haiyang Xu, Haowei Liu +6
cs.CVcs.AIcs.CLarXiv:2408.04840v22024
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva, Leila Wehbe
cs.CLcs.AIcs.LGarXiv:1905.11833v42019
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
Fred Zhang, Neel Nanda
cs.LGcs.AIcs.CLarXiv:2309.16042v22023
e3nn: Euclidean Neural Networks
Mario Geiger, Tess Smidt
cs.LGcs.AIcs.NEarXiv:2207.09453v12022
Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane +3
cs.LGcs.AIcs.DSarXiv:1803.02815v22018
JudgeBench: A Benchmark for Evaluating LLM-based Judges
Sijun Tan, Siyuan Zhuang, Kyle Montgomery +5
cs.AIcs.CLcs.LGarXiv:2410.12784v22024
Control of Memory, Active Perception, and Action in Minecraft
Junhyuk Oh, Valliappa Chockalingam, Satinder Singh +1
cs.AIcs.CVcs.LGarXiv:1605.09128v12016
Learning Physical Intuition of Block Towers by Example
Adam Lerer, Sam Gross, Rob Fergus
cs.AIarXiv:1603.01312v12016
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
Guanting Dong, Hongyi Yuan, Keming Lu +7
cs.CLcs.AIcs.LGarXiv:2310.05492v42023
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots
Xavier Puig, Eric Undersander, Andrew Szot +20
cs.HCcs.AIcs.CVarXiv:2310.13724v12023
Red-Teaming the Stable Diffusion Safety Filter
Javier Rando, Daniel Paleka, David Lindner +2
cs.AIcs.CRcs.CVarXiv:2210.04610v52022
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang, Weihua Du, Jiaming Shan +5
cs.AIcs.CLcs.CVarXiv:2307.02485v22023
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro +2
cs.LGcs.AIstat.MLarXiv:2205.07802v12022
Hierarchical Transformers for Multi-Document Summarization
Yang Liu, Mirella Lapata
cs.CLcs.AIarXiv:1905.13164v12019
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Zhibin Gou, Zhihong Shao, Yeyun Gong +5
cs.CLcs.AIarXiv:2309.17452v42023
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
cs.CLcs.AIcs.LGarXiv:2212.05206v22022
Learning from Untrusted Data
Moses Charikar, Jacob Steinhardt, Gregory Valiant
cs.LGcs.AIcs.CCarXiv:1611.02315v22016
A New Generation of Perspective API: Efficient Multilingual Character-level Transformers
Alyssa Lees, Vinh Q. Tran, Yi Tay +4
cs.CLcs.AIcs.CYarXiv:2202.11176v12022
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh +5
cs.HCcs.AIcs.CVarXiv:2004.15004v32020
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama, Antonio G. Marques, Geert Leus +1
eess.SPcs.AIcs.LGarXiv:1805.00165v22018
Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du +3
cs.CVcs.AIcs.CRarXiv:2302.04638v22023
Real-Time Bidding by Reinforcement Learning in Display Advertising
Han Cai, Kan Ren, Weinan Zhang +4
cs.LGcs.AIcs.GTarXiv:1701.02490v22017
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Wei Ping, Kainan Peng, Andrew Gibiansky +5
cs.SDcs.AIcs.CLarXiv:1710.07654v32017
A unified view of entropy-regularized Markov decision processes
Gergely Neu, Anders Jonsson, Vicenç Gómez
cs.LGcs.AIstat.MLarXiv:1705.07798v12017
Evaluating Large Language Models: A Comprehensive Survey
Zishan Guo, Renren Jin, Chuang Liu +8
cs.CLcs.AIarXiv:2310.19736v32023
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu +3
cs.CLcs.AIarXiv:2310.01469v32023
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey
Pranav Singh Chib, Pravendra Singh
cs.ROcs.AIcs.CVarXiv:2307.04370v22023
Improved Neural Relation Detection for Knowledge Base Question Answering
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan +3
cs.CLcs.AIcs.NEarXiv:1704.06194v22017
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux +1
cs.CLcs.AIarXiv:1905.01969v42019
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu, Yizhe Zhu, Kunpeng Song +1
cs.CVcs.AIarXiv:2101.04775v12021
Tool Learning with Large Language Models: A Survey
Changle Qu, Sunhao Dai, Xiaochi Wei +5
cs.CLcs.AIarXiv:2405.17935v32024
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang, Jianing Zhu, Gang Niu +3
cs.LGcs.AIarXiv:2010.01736v22020
How do Data Science Workers Collaborate? Roles, Workflows, and Tools
Amy X. Zhang, Michael Muller, Dakuo Wang
cs.HCcs.AIcs.LGarXiv:2001.06684v32020
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu +4
cs.AIcs.CLcs.CVarXiv:1901.03035v12019
Unsupervised Attention-guided Image to Image Translation
Youssef A. Mejjati, Christian Richardt, James Tompkin +2
cs.CVcs.AIarXiv:1806.02311v32018
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar, Mannat Singh, Nikhila Ravi +3
cs.CVcs.AIcs.IRarXiv:2201.08377v22022
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun, Qingheng Zhang, Wei Hu +4
cs.CLcs.AIcs.DBarXiv:2003.07743v22020
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Jiahao Ji, Jingyuan Wang, Chao Huang +5
cs.LGcs.AIarXiv:2212.04475v22022
An Overview of Catastrophic AI Risks
Dan Hendrycks, Mantas Mazeika, Thomas Woodside
cs.CYcs.AIcs.LGarXiv:2306.12001v62023
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
Liwei Cai, William Yang Wang
cs.CLcs.AIarXiv:1711.04071v32017
Tightening LP Relaxations for MAP using Message Passing
David Sontag, Talya Meltzer, Amir Globerson +2
cs.DScs.AIcs.CEarXiv:1206.3288v12012
CAT: Cross Attention in Vision Transformer
Hezheng Lin, Xing Cheng, Xiangyu Wu +5
cs.CVcs.AIarXiv:2106.05786v12021
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu, Wenxuan Tu, Sihang Zhou +4
cs.LGcs.AIcs.CVarXiv:2112.14772v12021
Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches
Yonatan Vaizman, Katherine Ellis, Gert Lanckriet
cs.AIcs.CYcs.HCarXiv:1609.06354v42016
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
cs.AIcs.IRarXiv:1707.05176v32017
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang, Yiming Ying
cs.LGcs.AImath.OCarXiv:2203.15046v32022
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Dongwook Lee, Jaejun Yoo, Sungho Tak +1
cs.CVcs.AIcs.LGarXiv:1804.00432v12018
Graph Neural Networks for Decentralized Multi-Robot Path Planning
Qingbiao Li, Fernando Gama, Alejandro Ribeiro +1
cs.ROcs.AIcs.LGarXiv:1912.06095v22019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
cs.LGcs.AIcs.CVarXiv:1904.09503v22019
Accelerating Reinforcement Learning with Learned Skill Priors
Karl Pertsch, Youngwoon Lee, Joseph J. Lim
cs.LGcs.AIcs.ROarXiv:2010.11944v12020
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann LeCun +1
cs.ROcs.AIarXiv:2411.04983v22024
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Chuming Lin, Chengming Xu, Donghao Luo +6
cs.CVcs.AIarXiv:2103.13137v12021
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón +2
cs.CRcs.AIcs.LGarXiv:2201.08135v12022

Artificial Intelligence

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Non-Local Color Image Denoising with Convolutional Neural Networks

EDICT: Exact Diffusion Inversion via Coupled Transformations

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

Holodeck: Language Guided Generation of 3D Embodied AI Environments

MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion

Ontology based Scene Creation for the Development of Automated Vehicles

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

e3nn: Euclidean Neural Networks

Sever: A Robust Meta-Algorithm for Stochastic Optimization

JudgeBench: A Benchmark for Evaluating LLM-based Judges

Control of Memory, Active Perception, and Action in Minecraft

Learning Physical Intuition of Block Towers by Example

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots

Red-Teaming the Stable Diffusion Safety Filter

Building Cooperative Embodied Agents Modularly with Large Language Models

The Primacy Bias in Deep Reinforcement Learning

Hierarchical Transformers for Multi-Document Summarization

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

Thinking Fast and Slow in Large Language Models

Learning from Untrusted Data

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Convolutional Neural Network Architectures for Signals Supported on Graphs

Better Diffusion Models Further Improve Adversarial Training

Real-Time Bidding by Reinforcement Learning in Display Advertising

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

A unified view of entropy-regularized Markov decision processes

Evaluating Large Language Models: A Comprehensive Survey

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples

Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey

Improved Neural Relation Detection for Knowledge Base Question Answering

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Tool Learning with Large Language Models: A Survey

Geometry-aware Instance-reweighted Adversarial Training

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Unsupervised Attention-guided Image to Image Translation

Omnivore: A Single Model for Many Visual Modalities

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

An Overview of Catastrophic AI Risks

KBGAN: Adversarial Learning for Knowledge Graph Embeddings

Tightening LP Relaxations for MAP using Message Passing

CAT: Cross Attention in Vision Transformer

Deep Graph Clustering via Dual Correlation Reduction

Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

AUC Maximization in the Era of Big Data and AI: A Survey

Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks

Graph Neural Networks for Decentralized Multi-Robot Path Planning

Model-free Deep Reinforcement Learning for Urban Autonomous Driving

Accelerating Reinforcement Learning with Learned Skill Priors

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges