Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.

K. Agrawal, A. Mondal, A. Ghosh, and B. Richards. NeurIPS, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Krishna Kumar Kandaswamy

Krishna Kumar Vadlamudi

Deepashri Agrawal

Mukesh Agrawal

Mudit Agrawal

Other publications of authors with the same name

Context-Aware Streaming Perception in Dynamic Environments.G. Sela, I. Gog, J. Wong, K. Agrawal, X. Mo, S. Kalra, P. Schafhalter, E. Leong, X. Wang, B. Balaji and 2 other author(s). ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 621-638. Springer, (2022)$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.K. Agrawal, A. Mondal, A. Ghosh, and B. Richards. NeurIPS, (2022)Investigating Power laws in Deep Representation Learning.A. Ghosh, A. Mondal, K. Agrawal, and B. Richards. CoRR, (2022)Model AI Assignments 2019.T. Neller, R. Sooriamurthi, M. Guerzhoy, L. Zhang, P. Talaga, C. Archibald, A. Summerville, J. Osborn, C. Resnick, A. Oliver and 9 other author(s). AAAI, page 9751-9753. AAAI Press, (2019)GANSynth: Adversarial Neural Audio Synthesis.J. Engel, K. Agrawal, S. Chen, I. Gulrajani, C. Donahue, and A. Roberts. ICLR (Poster), OpenReview.net, (2019)Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning.I. Kostrikov, K. Agrawal, S. Levine, and J. Tompson. CoRR, (2018)Addressing Sample Inefficiency in Multi-View Representation Learning.K. Agrawal, A. Ghosh, A. Oberman, and B. Richards. CoRR, (2023)Playing with Embeddings : Evaluating embeddings for Robot Language Learning through MUD Games.A. Gulati, and K. Agrawal. RepEval@EMNLP, page 27-30. Association for Computational Linguistics, (2017)Discrete Flows: Invertible Generative Models of Discrete Data.D. Tran, K. Vafa, K. Agrawal, L. Dinh, and B. Poole. NeurIPS, page 14692-14701. (2019)Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning.I. Kostrikov, K. Agrawal, D. Dwibedi, S. Levine, and J. Tompson. ICLR (Poster), OpenReview.net, (2019)

BibSonomy

Disambiguation of "Agrawal, Kumar Krishna"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.

Please choose a person to relate this publication to

Krishna Kumar Kandaswamy

Krishna Kumar Vadlamudi

Deepashri Agrawal

Mukesh Agrawal

Mudit Agrawal

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Agrawal, Kumar Krishna"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML $\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.

Please choose a person to relate this publication to

Krishna Kumar Kandaswamy

Krishna Kumar Vadlamudi

Deepashri Agrawal

Mukesh Agrawal

Mudit Agrawal

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay.