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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9,061 to 9,120 of 15,362

The relationship between trust in AI and trustworthy machine learning technologies
Ehsan Toreini, Mhairi Aitken, Kovila Coopamootoo +3
cs.CYcs.AIcs.LGarXiv:1912.00782v22019
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil. S Kanhere +2
cs.LGcs.AIstat.MLarXiv:1905.10069v12019
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
In Gim, Guojun Chen, Seung-seob Lee +3
cs.CLcs.AIarXiv:2311.04934v22023
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat +3
cs.CLcs.AIcs.LGarXiv:2310.02226v32023
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim, Alice Oh
cs.LGcs.AIcs.SIarXiv:2204.04879v12022
Transformers learn to implement preconditioned gradient descent for in-context learning
Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand +1
cs.LGcs.AIarXiv:2306.00297v22023
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer +4
cs.ITcs.AIcs.LGarXiv:2303.11103v22023
Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI
Wei Xu, Marvin J. Dainoff, Liezhong Ge +1
cs.HCcs.AIarXiv:2105.05424v32021
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker +1
cs.ROcs.AIcs.LGarXiv:1612.05533v32016
Towards a Quantum-Like Cognitive Architecture for Decision-Making
Catarina Moreira, Lauren Fell, Shahram Dehdashti +2
cs.AIarXiv:1905.05176v22019
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
cs.ROcs.AIcs.CVarXiv:2403.07788v22024
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
cs.CLcs.AIcs.LGarXiv:1708.02383v12017
The AGI Containment Problem
James Babcock, Janos Kramar, Roman Yampolskiy
cs.AIarXiv:1604.00545v32016
A Survey of Reinforcement Learning Informed by Natural Language
Jelena Luketina, Nantas Nardelli, Gregory Farquhar +5
cs.LGcs.AIcs.CLarXiv:1906.03926v12019
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
Arjun Majumdar, Karmesh Yadav, Sergio Arnaud +12
cs.CVcs.AIcs.LGarXiv:2303.18240v22023
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du +2
cs.LGcs.AIcs.CLarXiv:1705.11122v32017
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
Qian Huang, Jian Vora, Percy Liang +1
cs.LGcs.AIarXiv:2310.03302v22023
Universal Adversarial Perturbations Against Semantic Image Segmentation
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox +1
stat.MLcs.AIcs.CVarXiv:1704.05712v32017
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram
cs.DCcs.AIcs.LGarXiv:1801.08618v22018
Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning
Junyoung Park, Jaehyeong Chun, Sang Hun Kim +2
cs.AIcs.MAarXiv:2106.01086v12021
Factuality Enhanced Language Models for Open-Ended Text Generation
Nayeon Lee, Wei Ping, Peng Xu +4
cs.CLcs.AIcs.CYarXiv:2206.04624v32022
A Question-Entailment Approach to Question Answering
Asma Ben Abacha, Dina Demner-Fushman
cs.CLcs.AIcs.IRarXiv:1901.08079v12019
Prediction-Powered Inference
Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang +2
stat.MLcs.AIcs.LGarXiv:2301.09633v42023
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Gregory Kahn, Adam Villaflor, Bosen Ding +2
cs.LGcs.AIcs.ROarXiv:1709.10489v32017
Robot Parkour Learning
Ziwen Zhuang, Zipeng Fu, Jianren Wang +4
cs.ROcs.AIcs.CVarXiv:2309.05665v22023
Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin +3
cs.CLcs.AIcs.CVarXiv:1603.06059v32016
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong, Murtaza Dalal, Steven Lin +3
cs.LGcs.AIcs.ROarXiv:1903.03698v42019
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott Reed, Ming-Hsuan Yang +1
cs.LGcs.AIcs.CVarXiv:1601.00706v12016
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
Jindong Wang, Xixu Hu, Wenxin Hou +10
cs.AIcs.CLcs.LGarXiv:2302.12095v52023
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Pan Lu, Liang Qiu, Jiaqi Chen +6
cs.CVcs.AIcs.CLarXiv:2110.13214v42021
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
Minghai Chen, Sen Wang, Paul Pu Liang +3
cs.LGcs.AIcs.CLarXiv:1802.00924v12018
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass +1
cs.NEcs.AIcs.DCarXiv:1711.05136v52017
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Zhenhailong Wang, Shaoguang Mao, Wenshan Wu +3
cs.AIcs.CLarXiv:2307.05300v42023
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?
Ferenc Huszár
stat.MLcs.AIcs.ITarXiv:1511.05101v12015
oLMpics -- On what Language Model Pre-training Captures
Alon Talmor, Yanai Elazar, Yoav Goldberg +1
cs.CLcs.AIcs.LGarXiv:1912.13283v22019
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
Youngduck Choi, Youngnam Lee, Junghyun Cho +6
cs.LGcs.AIcs.CYarXiv:2002.07033v52020
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt, Adrian Weller, José M. F. Moura
cs.LGcs.AIcs.CYarXiv:2005.00631v12020
Salvaging Federated Learning by Local Adaptation
Tao Yu, Eugene Bagdasaryan, Vitaly Shmatikov
cs.LGcs.AIcs.DCarXiv:2002.04758v32020
ASP-Core-2 Input Language Format
Francesco Calimeri, Wolfgang Faber, Martin Gebser +7
cs.AIcs.LOarXiv:1911.04326v12019
MetaFormer Baselines for Vision
Weihao Yu, Chenyang Si, Pan Zhou +5
cs.CVcs.AIcs.LGarXiv:2210.13452v42022
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation
Anthony Simeonov, Yilun Du, Andrea Tagliasacchi +4
cs.ROcs.AIcs.CVarXiv:2112.05124v12021
Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks
Hang Ma, Jiaoyang Li, T. K. Satish Kumar +1
cs.AIcs.MAcs.ROarXiv:1705.10868v12017
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain +6
cs.AIcs.CLcs.CRarXiv:2103.07769v22021
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

Artificial Intelligence

The relationship between trust in AI and trustworthy machine learning technologies

STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Think before you speak: Training Language Models With Pause Tokens

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Transformers learn to implement preconditioned gradient descent for in-context learning

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI

Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments

Towards a Quantum-Like Cognitive Architecture for Decision-Making

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Learning how to Active Learn: A Deep Reinforcement Learning Approach

The AGI Containment Problem

A Survey of Reinforcement Learning Informed by Natural Language

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Controllable Invariance through Adversarial Feature Learning

MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Universal Adversarial Perturbations Against Semantic Image Segmentation

JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning

Factuality Enhanced Language Models for Open-Ended Text Generation

A Question-Entailment Approach to Question Answering

Prediction-Powered Inference

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Robot Parkour Learning

Generating Natural Questions About an Image

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

Deep Rewiring: Training very sparse deep networks

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?

oLMpics -- On what Language Model Pre-training Captures

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

Evaluating and Aggregating Feature-based Model Explanations

Salvaging Federated Learning by Local Adaptation

ASP-Core-2 Input Language Format

MetaFormer Baselines for Vision

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks

Automated Fact-Checking for Assisting Human Fact-Checkers

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