视觉大模型 / VLM - arXivDaily 专题

2102.05126 2022-01-17 cs.CL cs.AI cs.LG 62%

AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models

Jonáš Kulhánek, Vojtěch Hudeček, Tomáš Nekvinda, Ondřej Dušek

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Journal ref Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI (2021), 198-210

2106.11735 2022-01-11 cs.LG cs.AI cs.LO 62%

Lifted Model Checking for Relational MDPs

Wen-Chi Yang, Jean-François Raskin, Luc De Raedt

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

2109.14115 2022-01-02 cs.CV cs.AI 62%

Visually Grounded Concept Composition

Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments Findings of EMNLP 2021

2110.00534 2021-12-30 cs.CV cs.AI cs.CL cs.RO 62%

TEACh: Task-driven Embodied Agents that Chat

Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gokhan Tur, Dilek Hakkani-Tur

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments Accepted at AAAI 2022; 7 pages main, 28 pages total, 29 figures; Version 3 uses a new test set for EDH instances that restrict evaluation to state changes only on task-relevant objects

2112.13758 2021-12-28 cs.CL cs.AI cs.LG cs.RO 62%

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments To appear in the Proceedings of the 36th AAAI Conference on Artificial Intelligence. February 2022, Vancouver

2112.08268 2021-12-16 cs.LG cs.AI cs.CY 62%

Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities

Eyke Hüllermeier

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

2106.00311 2021-12-01 stat.ML cs.AI cs.LG 62%

What's a good imputation to predict with missing values?

Marine Le Morvan, Julie Josse, Erwan Scornet, Gaël Varoquaux

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

2109.01115 2021-11-02 cs.RO cs.AI cs.LG 62%

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation

Suraj Nair, Eric Mitchell, Kevin Chen, Brian Ichter, Silvio Savarese, Chelsea Finn

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments Conference on Robot Learning (CoRL) 2021. 24 Pages, 18 Figures

2008.09150 2021-10-22 cs.CL cs.AI cs.CV 62%

VisualSem: A High-quality Knowledge Graph for Vision and Language

Houda Alberts, Teresa Huang, Yash Deshpande, Yibo Liu, Kyunghyun Cho, Clara Vania, Iacer Calixto

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments Accepted for publication at the 1st Multilingual Representation Learning workshop (MRL 2021) co-located with EMNLP 2021. 15 pages, 8 figures, 6 tables

2109.10649 2021-09-23 cs.CV cs.AI 62%

Caption Enriched Samples for Improving Hateful Memes Detection

Efrat Blaier, Itzik Malkiel, Lior Wolf

专题命中视觉定位与Grounding ：vision-language model(abstract)；分类 cs.CV、cs.AI

Comments EMNLP 2021

2103.06304 2021-08-23 cs.AI cs.CL cs.CV 62%

What is Multimodality?

Letitia Parcalabescu, Nils Trost, Anette Frank

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments Paper accepted for publication at MMSR 2021; 10 pages, 5 figures

Journal ref Proceedings of the 1st Workshop on Multimodal Semantic Representations (MMSR), 2021, Groningen, Netherlands (Online), Association for Computational Linguistics, p. 1--10

2108.07253 2021-08-18 cs.CV cs.CL cs.LG 62%

Who's Waldo? Linking People Across Text and Images

Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.LG

Comments Published in ICCV 2021 (Oral). Project webpage: https://whoswaldo.github.io

2107.14593 2021-08-02 cs.CL cs.AI cs.LG cs.RO 62%

Neural Variational Learning for Grounded Language Acquisition

Nisha Pillai, Cynthia Matuszek, Francis Ferraro

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Journal ref 2021 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

2106.04887 2021-07-15 cs.LG cs.AI stat.ML 62%

Interaction-Grounded Learning

Tengyang Xie, John Langford, Paul Mineiro, Ida Momennejad

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments Published in ICML 2021

2104.04598 2021-06-22 cs.SD cs.CV cs.LG eess.AS eess.IV 62%

Cross-Modal learning for Audio-Visual Video Parsing

Jatin Lamba, Abhishek, Jayaprakash Akula, Rishabh Dabral, Preethi Jyothi, Ganesh Ramakrishnan

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.LG

Comments Work accepted at Interspeech 2021

2103.08143 2021-06-22 q-bio.NC cs.AI cs.LG cs.NE 62%

Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks

Oleg Nikitin, Olga Lukyanova, Alex Kunin

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments 24 pages, 10 figures

2103.04244 2021-06-09 cs.AI cs.LG 62%

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Yu-Liang Chou, Catarina Moreira, Peter Bruza, Chun Ouyang, Joaquim Jorge

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

2106.00920 2021-06-03 cs.CL cs.AI cs.LG 62%

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues

Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ICLR 2021; https://openreview.net/forum?id=kDnal_bbb-E

2004.01981 2021-06-02 cs.CL cs.AI cs.CV 62%

Open Domain Dialogue Generation with Latent Images

Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments AAAI2021

2105.07168 2021-05-20 cs.LG cs.AI econ.EM stat.ML 62%

Cohort Shapley value for algorithmic fairness

Masayoshi Mase, Art B. Owen, Benjamin B. Seiler

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

2105.02936 2021-05-10 cs.LG cs.AI cs.MS stat.ML 62%

Exact Acceleration of K-Means++ and K-Means$\|$

Edward Raff

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments to appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI-21)

2101.06278 2021-04-23 cs.CV cs.AI 62%

COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning

Shivangi Aneja, Chris Bregler, Matthias Nießner

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments Video : https://youtu.be/riI3Cl2xy10

2008.01766 2021-04-20 cs.CL cs.AI cs.LG 62%

Word meaning in minds and machines

Brenden M. Lake, Gregory L. Murphy

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments In press at Psychological Review

2011.03775 2021-04-01 cs.CV cs.AI 62%

Text-to-Image Generation Grounded by Fine-Grained User Attention

Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments To appear in WACV 2021

2101.03431 2021-01-12 cs.AI cs.CL cs.CV cs.RO 62%

Are We There Yet? Learning to Localize in Embodied Instruction Following

Shane Storks, Qiaozi Gao, Govind Thattai, Gokhan Tur

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.AI

Comments Accepted to HAI @ AAAI 2021

2009.05613 2020-12-10 cs.LG cs.AI 62%

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua Tenenbaum, Tomas Lozano-Perez, Leslie Pack Kaelbling

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments AAAI 2021

1906.09529 2020-12-10 cs.LG cs.CV stat.ML 62%

Learning Activation Functions: A new paradigm for understanding Neural Networks

Mohit Goyal, Rajan Goyal, Brejesh Lall

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.LG

Comments A modified version of the article has been published in IEEE WCCI 2020

2012.02659 2020-12-07 cs.AI cs.LG cs.NE 62%

Understanding Attention: In Minds and Machines

Shriraj P. Sawant, Shruti Singh

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

Comments Accepted at NeurIPS 2020 Workshop: ML Retrospectives, Surveys & Meta-Analyses (ML-RSA)

2011.14204 2020-12-01 cs.CV cs.LG stat.ML 62%

Class-agnostic Object Detection

Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.CV、cs.LG

Comments To appear in Proceedings of WACV 2021

2011.09854 2020-11-20 cs.LG cs.AI 62%

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

Sirui Xie, Feng Gao, Song-Chun Zhu

专题命中视觉定位与Grounding ：grounding(abstract)；分类 cs.AI、cs.LG

1. 视觉定位与Grounding 7387 篇

AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models

Lifted Model Checking for Relational MDPs

Visually Grounded Concept Composition

TEACh: Task-driven Embodied Agents that Chat

Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech

Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities

What's a good imputation to predict with missing values?

Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation

VisualSem: A High-quality Knowledge Graph for Vision and Language

Caption Enriched Samples for Improving Hateful Memes Detection

What is Multimodality?

Who's Waldo? Linking People Across Text and Images

Neural Variational Learning for Grounded Language Acquisition

Interaction-Grounded Learning

Cross-Modal learning for Audio-Visual Video Parsing

Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues

Open Domain Dialogue Generation with Latent Images

Cohort Shapley value for algorithmic fairness

Exact Acceleration of K-Means++ and K-Means$\|$

COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning

Word meaning in minds and machines

Text-to-Image Generation Grounded by Fine-Grained User Attention

Are We There Yet? Learning to Localize in Embodied Instruction Following

Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Learning Activation Functions: A new paradigm for understanding Neural Networks

Understanding Attention: In Minds and Machines

Class-agnostic Object Detection

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation