Roopal Garg Profile
Roopal Garg

@roopalgarg

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Staff Software Engineer @GoogleDeepMind | Gemini | @GoogleAI l Multimodality | Multi/Cross linguality | @USCViterbi @CSatUSC alumnus | Views are my own

Austin, TX
Joined March 2010
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@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
2 months
I’m happy to share that I’m transitioning to @GoogleDeepMind and continuing work on multimodal multilingual cross-cultural content understanding for Gemini ! Excited about the journey, collaborations and progress we make... #Google #GoogleDeepmind
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@roopalgarg
Roopal Garg
2 months
@Gradio @huggingface thank you @Gradio for sharing our project! Huge thanks for the demo functionality support in @huggingface for reference, full 🧵
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
2 months
the calm before the ECCV reviews drop ☕️ ... @eccvconf #ECCV2024 #AI #ComputerVision
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@roopalgarg
Roopal Garg
2 months
@arankomatsuzaki thank you @arankomatsuzaki for sharing our work! Full post 🧵
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
8 years
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@roopalgarg
Roopal Garg
6 years
A weekend of #100DaysOfCode awaits!!! What have u planned up?? Working on a library to make training models, adding new models, monitoring and versioning your experiments super easy using Tensorflow! Update to follow soon. Stay tuned. #DeepLearning #MachineLearning #TensorFlow
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@roopalgarg
Roopal Garg
2 months
We release a subset of IIW human- and model-annotated descriptions, as well as human SxS results on Human-Human and Model-Human sourced pairs of descriptions. Available on: GitHub: Hugging Face: 🧵10/12
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@roopalgarg
Roopal Garg
2 months
Dive into the details of our carefully designed seeded, sequential, human-in-the-loop annotation framework which builds on top of existing VLM functionality and uses granular object level human-authored descriptions to compose overall hyper-detailed image descriptions. 🧵3/12
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@roopalgarg
Roopal Garg
2 months
@gowthami_s my 2c would be to not base your metric on a review from 3 random (perhaps not expert themselves) people's understanding of your work. if you believe in it and it has true merit.. it will get rewarded..either directly or becomes a base for future success! all the best
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@roopalgarg
Roopal Garg
6 years
#activelearning is next on my mind. Training a model on static one time data is one thing. making sure its performance doesn't deteriorate with shift in data 6 months down the line is another. #MachineLearning #DeepLearning #datacollection #NLProc
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@roopalgarg
Roopal Garg
6 years
after 3 years with @GumGumAILabs , its time to move on. Its been a great experience and a huge learning curve, want to thank and wish @GumGum luck. I would be joining Google Core Search team in MTV starting next week. Really excited and pumped up for it. #GoogleSearch #Google
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@roopalgarg
Roopal Garg
7 years
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@roopalgarg
Roopal Garg
6 years
useful read: Axiomatic Attribution for Deep Networks For those interested in interpretability of NN Day 1&2 of #100DaysOfMLCode #DeepLearning #NeuralNetworks #interpretability #attribution
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@roopalgarg
Roopal Garg
2 months
We invite the community to: Read the paper: Dive into our methodology, experiments, and results. Share your feedback: We're eager to hear your thoughts and insights . Please reach out on iiw-dataset @google .com #IIW is an ongoing effort so look out for more!!🧵12/12
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@roopalgarg
Roopal Garg
6 years
accepted! @sirajraval hope reading ML/DL/NLP papers counts... i can share reviews, summaries and code insights for implementing and working with the papers #100DaysOfMLCode #MachineLearning #DeepLearning
@sirajraval
Siraj Raval
6 years
Who’s ready to take the 100 days of ML code challenge? That means coding machine learning for at least an hour everyday for the next 100 days. Pledge with the #100DaysOfMLCode hashtag, I’ll give the first few winners a shoutout!
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@roopalgarg
Roopal Garg
2 months
Focusing on applications, we first evaluate the value of the VLM fine-tuned models on a T2I use-case by comparing the image reconstruction capability of a T2I model on inputs from the VLM fine-tuned models and demonstrate that IIW outputs come out consistently on the top. 🧵8/12
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@roopalgarg
Roopal Garg
7 years
My second belong: Deep Learning for NLP : Part 2 @GumGum #NLProc #DeepLearning #RNN #LSTM #GRU #NeuralNetworks #AI #DL Feedback welcomed
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@roopalgarg
Roopal Garg
2 months
glad to see ImageInWords () still trends on @huggingface datasets () after 3 weeks of release! looking forward to how the community learns and benefits from it! Stay tuned for future updates and releases. 🧵:
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
8 years
anyone has experience using #PageRank in the ad-tech? trying to pinpoint the use-case #NLP #ML #adtech
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@roopalgarg
Roopal Garg
2 months
With the release of our IIW detailed annotation guideline, our goal is to seek community feedback and iteratively make them holistic, reduce human effort and dependency in the annotation process, and help shift the narrative from captions to descriptions. 🧵11/12
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@roopalgarg
Roopal Garg
7 years
Nostalgic presenting in a room not too long ago wrote an exam in... #BigDataDayLA @BigDataDayLA @GumGum #DeepLearning #NLP
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@roopalgarg
Roopal Garg
7 years
excellent article... “Highway Networks with TensorFlow” by @jimmfleming #DeepLearning #NeuralNetworks
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@roopalgarg
Roopal Garg
2 months
@kristileilani Thank you @kristileilani for sharing our work 🙏!! For full 🧵
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
2 months
IIW human-authored dataset achieves a new best-of-the-breed SOTA 🏆 status when compared to comparable prior works on a suite of automated readability based metrics and further validated through in-depth human-SxS analysis across multiple axes. 🧵6/12
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@roopalgarg
Roopal Garg
2 months
The sequential annotation setup induces a human learning environment which results in higher annotation quality in lesser time. Compared to a sequential approach, we get an all-inclusive output verified and augmented by multiple humans with +20% words in -30% time. 🧵4/12
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@roopalgarg
Roopal Garg
2 months
IIW fine-tuned PaLI-5B achieves considerable gains over fine-tuned PaLI-5B from comparable work. When compared to considerably larger models or human-annotations, the model size can be shown as a limitation. We aim to explore this further with iterations on larger models. 🧵7/12
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@roopalgarg
Roopal Garg
2 months
We evaluate across automated and meticulously designed Human-SxS to focus on richness, readability, comprehensiveness, specificity, hallucinations, and human-likeness. The evaluations are run to evaluate both IIW human-authored and downstream finetuned VLM model outputs. 🧵5/12
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@roopalgarg
Roopal Garg
8 years
Learning #Theano , #TensorFlow for building #neuralnetwork for #NLP based tasks. Any suggestions what works better and when? #deeplearning
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@roopalgarg
Roopal Garg
7 years
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@roopalgarg
Roopal Garg
6 years
excellent article to understand Quasi-Recurrent Neural Networks #QRNN #DeepLearning @GokuMohandas
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@roopalgarg
Roopal Garg
6 years
@amuellerml Averaging out the word embeddings for words on their Wikipedia page would be the simplest and a decent first step. Worked before for creating brand embeddings (creating embeddings for company names)
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@roopalgarg
Roopal Garg
6 years
useful read: Learning to Learn from Weak Supervision by Full Supervision Interesting idea for everyone struggling with a lack of labeled data. Has anyone tried something similar successfully before? Day 5 #100DaysOfCode #DeepLearning #DataAugmentation
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@roopalgarg
Roopal Garg
8 years
Check out this Meetup with LA Machine Learning! Hope to see you guys there... #NLP #ML @lamachinelearn
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@roopalgarg
Roopal Garg
6 years
useful read: Document Similarity for Texts of Varying Lengths via Hidden Topics … Interesting approach: reconstructing wrds in a doc & summary using hidden topic vectors and comparing the approach to Doc2Vec & WMD. #DeepLearning #NLProc #100DaysOfMLCode
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@roopalgarg
Roopal Garg
2 months
We evaluate IIW model-generated descriptions for compositional reasoning. IIW is able to improve accuracy on vision-language compositional reasoning benchmarks ARO and Winoground by several points compared to prior work by generating finer grained descriptions. 🧵9/12
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@roopalgarg
Roopal Garg
6 years
Happy Diwali everyone :)
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@roopalgarg
Roopal Garg
6 years
Discover new information and inspiration with Search, no query required @google
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@roopalgarg
Roopal Garg
7 years
@gensim_py making life easier for doing #deeplearning . jst trained #wordembeddings for #japanese on #wikipedia data. super easy! thanks!
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@roopalgarg
Roopal Garg
7 years
attending @NipsConference next week... let me know if you want to meet up. Looking forward to it. #NIPS2017 #NLProc #AI
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@roopalgarg
Roopal Garg
8 years
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@roopalgarg
Roopal Garg
2 months
@gowthami_s Can only make u stronger 💪
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@roopalgarg
Roopal Garg
6 years
any examples of learning material on the working and application of adversarial networks and/or reinforcement learning on text based data? #GAN #ReinforcementLearning #DeepLearning #NLProc @sirajraval
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@roopalgarg
Roopal Garg
2 months
@jasonbaldridge Apologies to Tiger!! Tiger we did not forget you. image index 88 has the rest of the crew
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@roopalgarg
Roopal Garg
8 years
business model or a winning model.time to mke a decision @FenwaySportsMgt for @LFC ..wastng mney on transfr to send thm on loan..isnt wrking
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@roopalgarg
Roopal Garg
2 months
@vishay @arankomatsuzaki Haha we honestly did consider that for a while 😜 There is ongoing work... Stay tuned!
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@roopalgarg
Roopal Garg
7 years
well put in a simple way... How Natural Language Processing Will Change the Way You Work #NLP @salesforceiq
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@roopalgarg
Roopal Garg
2 months
@gm8xx8 thank you @gm8xx8 for sharing our work! Feedback welcomed. for reference, full 🧵:
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
7 years
recommendations for a #NeuralNetworks architecture for document level classification? #nlproc #DeepLearning #NLP #ML
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@roopalgarg
Roopal Garg
6 years
“Train Your Machine Learning Models on Google’s GPUs for Free — Forever” by @nick_bourdakos #DeepLearning #GPUs @Google #Colab #MachineLearning #AI
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@roopalgarg
Roopal Garg
2 months
@itsrishub Thanks for sharing our work @itsrishub !
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@roopalgarg
Roopal Garg
11 years
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@roopalgarg
Roopal Garg
8 years
Love the #PCH and the #PacificSurfLiner route... who says trains suck!!
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@roopalgarg
Roopal Garg
2 months
@miru_why thank you @miru_why for sharing the post! We hope the eval set can push the boundaries forward towards mode holistic image descriptions
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@roopalgarg
Roopal Garg
2 months
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
2 months
@fly51fly thank you @fly51fly for sharing our work!! We aim for the work to push the boundaries forward towards mode holistic image descriptions. Feedback welcomed. for reference, full 🧵:
@roopalgarg
Roopal Garg
2 months
📢 Excited to unveil our latest research, ImageInWords (IIW)! 🚀We're pushing the boundaries of image descriptions with a new seeded, sequential, human-in-the-loop approach producing SOTA, articulate, hyper-detailed descriptions. arXiv: 🧵1/12
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@roopalgarg
Roopal Garg
9 years
thank you #BrendanRodgers for your services...u almost made it happen. Buts its time for a change...time for @LFC to regain its pedigree.
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@roopalgarg
Roopal Garg
8 years
@NBFootball @LFC @LFC u need a microscope to find the difference from previous couple of years...disappointed...look at kits frm other teams
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@roopalgarg
Roopal Garg
6 years
happy thanksgiving everyone! #HappyThanksgiving
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@roopalgarg
Roopal Garg
6 years
trying out the `.Dataset` functionality for text data. any pointers to a complete code snippet for a network with variable length inputs to be fed into a placeholder? #AskTensorFlow @TensorFlow @mrry
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@roopalgarg
Roopal Garg
11 years
wht a match! 2-2 it is! @luis16suarez the culprit and then the savior... the incident looks bad though... #lfc #livche @LFC
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@roopalgarg
Roopal Garg
6 years
Get started with TensorFlow high-level APIs by @random_forests @lmoroney ...great talk and really helpful. #TensorFlow #io18 #googleio2018 @TensorFlow
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@roopalgarg
Roopal Garg
6 years
Got my @TensorFlow application up on the board at #TFDevSummit . What's yours ?
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@roopalgarg
Roopal Garg
11 years
another legend retires..u will always be missed... #thankscatta #lfc @LFC @LFCIndia @DelhiKop @LFCMumbai
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@roopalgarg
Roopal Garg
7 years
@odsc thank you for the info! registered via #eventbrite looking forward to #ODSC West 2017
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@roopalgarg
Roopal Garg
2 years
I never thought I would say this but @SouthwestAir you have disappointed beyond repair.. flight getting cancelled with the crew onboard, passages queued up for boarding and that too on #Christmas
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@roopalgarg
Roopal Garg
8 years
what a way to open the gates to the new stand...massive performance!! confident looking side... @LFC #YNWA #LIVLEI #EPL
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@roopalgarg
Roopal Garg
7 years
anyone in my network attending @odsc conference in #SanFrancisco from Friday?
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@roopalgarg
Roopal Garg
8 years
@AndrewYNg that is an excellent thought...
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@roopalgarg
Roopal Garg
2 years
@SouthwestAir are you expecting passengers to stand in lines for hours to rebook flights with no clarification or update on what to even expect(a hotel credit/voucher?Flight in 2 days?) ? Since online rebooking doesn't work on ur website or app currently and customer care is MIA!
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@roopalgarg
Roopal Garg
2 months
@RealJosephus maintaining quality across different image distributions is important, avg human struggles as well across domains they are less familiar with. you bring up a completely valid point. part of the purpose of the paper was to get this conversation started 👍
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@roopalgarg
Roopal Garg
11 years
memorable day... #USC beat #Stanford ... close game but the underdogs cause the upset... #GoTrojans #FightOn #USC #USCvsSTAN #USCFOOTBALL
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@roopalgarg
Roopal Garg
11 years
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@roopalgarg
Roopal Garg
11 years
@LFC 6-0 @NUFCOfficial ...amazing team performance... @losliverpool @DelhiKop
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@roopalgarg
Roopal Garg
2 months
@RealJosephus absolutely! @RealJosephus thank you for exploring and looking forward to how you use it in the future! length sadly is a very fickle metric, one can have a lot of filter phrases like `this image shows`, `in this image we see`, etc which add no value/richness but inflate the
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@roopalgarg
Roopal Garg
7 years
@sirajraval @sirajraval u r dng an amazing work...its really helpful and means a lot..
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@roopalgarg
Roopal Garg
10 years
♫ Pursuit Of Happiness - Extended Steve Aoki Remix (Explicit) – Kid Cudi,MGMT,Ratatat http://t.co/8FjEx3xExg #NowPlaying
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@roopalgarg
Roopal Garg
7 years
any suggestions for #DeepLearning #NLP models for multi-label classification?
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@roopalgarg
Roopal Garg
8 years
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@roopalgarg
Roopal Garg
11 years
13 more days...!!! Aug 17th waiting for u... EPL 2013-14.. #epl #lfc @LFC @DelhiKop @LFCMumbai @losliverpool
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@roopalgarg
Roopal Garg
9 years
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@roopalgarg
Roopal Garg
7 years
does anyone know of a sentence parser in #Python similar to the @stanfordnlp ? #NLP @spacy_io
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@roopalgarg
Roopal Garg
2 years
Customer care is down... Line to rebook is 4hr+... I stood in it for 2hr, left in disgust..came back for curiosity after 2hrs of rampant attempts to book another airline and still saw the folks who stood in front me still in line. I have DMed you our flight details @SouthwestAir
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@roopalgarg
Roopal Garg
6 years
time to learn about TPUs! #tpu #DeepLearning #TensorFlow
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@roopalgarg
Roopal Garg
5 years
interesting start to the new year... first patent approved, filed back in 2017! Title: Automated classification of network-accessible content based on events Link: Looking forward and hoping for a high productivity 2020. #nlproc #ML
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@roopalgarg
Roopal Garg
6 years
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@roopalgarg
Roopal Garg
2 months
@mikeyoung44 @aimodelsfyi thank you @mikeyoung44 ! There are some inaccuracies that should be fixed to avoid confusion🙂 Sizes of the released datasets: For coverage bias: the datasets are indeed collected from diverse domains/topics. Use-cases: refer Section 4.5 & 4.6
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@roopalgarg
Roopal Garg
7 years
this is exciting, looking forward to all the courses being released! #deeplearning @coursera @AndrewYNg
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