NAVER AI LAB

[북구 미래 하정우 @JungWooHa2]

Please check out the presentation schedule of #NAVER #CLOVA and #AI_Lab (@ClovaAiLab) at #ICLR2022 (@iclr_conf): 12 papers in the main session.
My sessions are posters-3, 4, and 7.
Also, please visit ICLR 2022 Social: ML in Korea (Apr 28, 12-3PM, KST)
👉https://t.co/IQZgmQZ1Nz

[NAVER AI LAB @NAVER_AI_Lab]

#NAVER #CLOVA_AI_LAB #NAVER_AI #AI_Research
Meet @ClovaAiLab Research scientists studying AI for humans and AI for tomorrow.

🔗YouTube l https://t.co/bSP3aqkh3J

[NAVER AI LAB @NAVER_AI_Lab]

#NAVER #CLOVA_AI_LAB #NAVER_AI
Here is a video introducing @ClovaAiLab narrated by CLOVA Dubbing AI Voice 'Anna'.

🔗 YouTube | https://t.co/CHRTeTcaVw

[NAVER AI LAB @NAVER_AI_Lab]

#NAVER_AI #CLOVA_CareCall
A news article of @NikkeiAsia about #CLOVA CareCall.
#CLOVA CareCall checks the safety and health of the elderly living alone and takes care of the gap in care.
https://t.co/Y2Sc9wvees via
@NikkeiAsia

[북구 미래 하정우 @JungWooHa2]

Happy to share #CRAFT proposal (#HyperscaleFAccT) of our #CLOVA was accepted to @FAccTConference 2022!

HyperscaleFAccT addresses fairness, accountability, and transparency in hyperscale LM (#HyperCLOVA).

Thanks to all contributors; Hwaran, @aliceoh @mgalle @nekozzang @kchonyc

[북구 미래 하정우 @JungWooHa2]

So excited to share that #NAVER #CLOVA (@ClovaAiLab ) has 14 papers accepted at #cvpr2022 (@CVPR ).
Congrats to all the authors including @JihwanBang, @SanghyukChun , @coallaoh , @ppolon , and @yunjey_choi ! I wish we meet all in June in New Orleans !

[NAVER AI LAB @NAVER_AI_Lab]

Here is the presentation schedule of #NAVER @ClovaAiLab in #AAAI2021
Please visit our presentation.
Details are here:
https://t.co/KVqJlfOoon

[NAVER AI LAB @NAVER_AI_Lab]

#NAVER_AI #CLOVA_CareCall
In the age of ‘taking care of yourself’, elderly in South Korea turn to Clova https://t.co/4AoJEdlC8d via @scmpnews

[NAVER AI LAB @NAVER_AI_Lab]

NAVER #CLOVA #AI_LAb has 12 papers accepted at @iclr_conf (#ICLR2022). Big congrats to all authors!

[북구 미래 하정우 @JungWooHa2]

OMG!! I am so happy to share that #NAVER #CLOVA #AI_Lab has 12 papers accpeted at @iclr_conf (#ICLR2022)!

It is the first case that a Korea AI company has more than 10 papers in Top ML conferences!

If you like to join us, email to [email protected]

[북구 미래 하정우 @JungWooHa2]

[1/12] Learning Features with Parameter-Free Layers
Dongyoon Han (NAVER AI Lab), YoungJoon Yoo (NAVER Clova), Beomyoung Kim (NAVER Clova), Byeongho Heo (NAVER AI Lab)
https://t.co/S48aMLdxrX

[북구 미래 하정우 @JungWooHa2]

[2/12] SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search.
Hyeonmin Ha (SNU), Ji-Hoon Kim(NAVER Clova), Semin Park (Google), Byung-Gon Chun (SNU)
https://t.co/MBp1xfCv0w

[북구 미래 하정우 @JungWooHa2]

[3/12] ViDT: An Efficient and Effective Fully Transformer-based Object Detector.
Hwanjun Song (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Dongyoon Han (NAVER AI Lab), Byeongho Heo (NAVER AI Lab), Wonjae Kim (NAVER AI Lab) et al.
https://t.co/KbbnOLHPZW

[북구 미래 하정우 @JungWooHa2]

[4/12] Coherence-based Label Propagation over Time Series for Accelerated Active Learning.
Yooju Shin (KAIST), Susik Yoon (UIUC), Sundong Kim (IBS), Hwanjun Song (NAVER AI Lab), Jae-Gil Lee (KAIST), Byung Suk Lee (Univ. of Vermont)
https://t.co/k9O1COEFnv

[북구 미래 하정우 @JungWooHa2]

[5/12] Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective.
Luca Scimeca (NAVER AI Lab), Seong Joon Oh (NAVER AI Lab), Sanghyuk Chun (NAVER AI Lab), Michael Poli (NAVER AI Lab), Sangdoo Yun (NAVER AI Lab)
https://t.co/G6NUwQB5cs

[북구 미래 하정우 @JungWooHa2]

[6/12] Know Your Action Set: Learning Action Relations for Reinforcement Learning.
Ayush Jain*(USC), Norio Kosaka*(NAVER CLOVA), Kyung-Min Kim(NAVER CLOVA), Joseph J Lim(KAIST, USC, & NAVER AI Lab)
https://t.co/vkW7kdOvfN

[북구 미래 하정우 @JungWooHa2]

[7/12] Skill-based Meta-Reinforcement Learning
Taewook Nam (KAIST), Shao-Hua Sun (USC), Karl Pertsch (USC), Sung Ju Hwang (KAIST), Joseph J Lim(KAIST, USC, & NAVER AI Lab)
https://t.co/2xtQS3Cjyf

[북구 미래 하정우 @JungWooHa2]

[8/12] Task-Induced Representation Learning.
Jun Yamada (Oxford), Karl Pertsch (USC), Anisha Gunjal (USC), Joseph J Lim(KAIST, USC & NAVER AI Lab)
https://t.co/BleTvb27ZM

[북구 미래 하정우 @JungWooHa2]

[9/12] Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression
Baesung Park*(NAVER CLOVA), Sejung Kwon*(NAVER CLOVA), Daehwan Oh (Samgsung Research), Byeongwook Kim (NAVER CLOVA), Dongsoo Lee (NAVER CLOVA)
https://t.co/kYvEzX5aC3

[북구 미래 하정우 @JungWooHa2]

[10/12] Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference.
Hyunseo Koh (GIST, NAVER AI Lab), Dahyun Kim (GIST, NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jonghyun Choi (GIST, NAVER AI Lab)
https://t.co/tAOdMD2NSt

[북구 미래 하정우 @JungWooHa2]

[11/12] Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
Sihyun Yu (KAIST), Jihoon Tack (KAIST), Sangwoo Mo (KAIST), Hyunsu Kim (NAVER AI Lab), Junho Kim (NAVER AI Lab), Jung-Woo Ha (NAVER AI Lab), Jinwoo Shin (KAIST)
https://t.co/GYbcwpS6Tx