Blog Posts : /research/

Navigation

/ research
- / { ideas, talks, papers }
/ tech
- / { dl, talks, misc }

Tag search

Published on
March 14, 2024
DSPy - Gemini and GemmaPresentation
LLM PromptBreeder DSPy Gemini Gemma Ollama
Published on
February 20, 2024
Gemini 1 millionPresentation
LLM Reasoning AlphaGo AlphaZero AlphaStar AlphaCode AlphaFold AlphaGeometry AlphaCodium Self-Discover PromptBreeder
Published on
January 18, 2024
Research from NeurIPSPresentation
NeurIPS LLM MATH-AI Reasoning LeanDojo AlphaGeometry
Published on
November 18, 2023
DevFest SG Talk: No-code Prototyping with FlowisePresentation
LLM LLM-Agents Flowise Langchain Langchain.js RAG Demo DevFest
Published on
November 16, 2023
What's Next in RAGPresentation
LLM LLM-Agents RAG Self-RAG MemGPT Minecraft JARVIS-1
Published on
September 14, 2023
LLMs and ReasoningPresentation
LLM LLM-Agents Self-Refine VOYAGER PAL maxima Planning LeanDojo Learning-to-Program
Published on
September 9, 2023
Keras CorePresentation
Keras TPU TensorFlow PyTorch JAX
Published on
July 27, 2023
Open-Endedness and Large Language ModelsPresentation
LLM LLM-Agents ReAct OpenEndedness EvolInstruct VOYAGER Westworld
Published on
July 13, 2023
Self-Improvement (for Language Models)Presentation
LLM LLM-Agents Self-Debug Self-Refine RLAIF ConstitutionalAI WizardCoder phi-1 EvolInstruct
Published on
June 26, 2023
Code and Reasoning with LLMsPresentation
LLM CodeT5 StarCoder WizardCoder phi-1 VOYAGER Minecraft TinyStories GPT4
Published on
May 28, 2023
MediaPipe with a bit of BardPresentation
MediaPipe TFLite Bard Colab
Published on
May 25, 2023
Images+LLMs : Advances in Multimodal ModelsPresentation
LLM Transformer Multimodal VisionTransformer ViT CLIP BLIP BLIP-2 MiniGPT-4 InstructBLIP BLIP-Diffusion
Published on
April 20, 2023
Interacting with LLMs in a post-chatGPT worldPresentation
LLM RLHF RLAIF ConstitutionalAI langchain ToolFormer SelfDebug Reflexion Westworld
Published on
March 13, 2023
Cloud Platforms & Other Super Fun StuffPresentation
LLM Transformer Minecraft MineRL MineDojo VPT DreamerV3
Published on
February 23, 2023
News You Can Use - Practical StuffPresentation
LLM Transformer langchain lightning LoRA LLM.int8 PEFT ControlNet PyTorch
Published on
January 19, 2023
Voices In, Voices Out - ASR, TTSPresentation
Transformer TTS ASR AudioLM SoundStream VALL-E
Published on
November 29, 2022
Prompting, Instructions and the Future of Large Language ModelsPresentation
Transformer BERT GPT2 GPT3 PaLM NLP LLM
Published on
September 15, 2022
World of Diffusion : Theory, Shortcuts & FuturePresentation
Diffusion StableDiffusion Imagen Dall-E
Published on
September 13, 2022
Running MineRL within a ContainerMineRL
podman docker containers deeplearning minerl
Published on
August 18, 2022
What’s New in AI & Machine LearningPresentation
Transformer LLM LaMDA JAX
Published on
January 25, 2022
RETRO vs LaMDA - Clash of the TransformersPresentation
Transformer LLM RETRO LaMDA
Published on
January 7, 2022
Text Similarity for NLPWorkshop
Workshop Transformer BERT SentenceBERT
Published on
December 16, 2021
Back to Basics 03Series
Back-to-Basics Transformer BERT NLP GDSC
Published on
December 9, 2021
Back to Basics 02Series
Back-to-Basics CNN GDSC
Published on
December 2, 2021
Back to Basics 01Series
Back-to-Basics MLP GDSC
Published on
November 25, 2021
GPT : Beams, Sampling & morePresentation
Transformer GPT Beam-Search top_k top_p
Published on
November 21, 2021
Investigating Prompt Engineering in Diffusion ModelsarXiv Paper
Paper Word-Embeddings Diffusion StableDiffusion CLIP Dall-E
Published on
August 26, 2021
PerceiverIOPresentation
Transformer BERT Perceiver PerceiverIO PonderNet
Published on
August 5, 2021
Exploring Different Approaches for Multilingual TasksCASE@ACL-IJCNLP-2021 Shared Task Paper
Paper Transformer NLP LLM Multilingual
Published on
July 20, 2021
Back to Basics 03Series
Back-to-Basics Transformer BERT NLP
Published on
July 13, 2021
Back to Basics 02Series
Back-to-Basics CNN
Published on
July 6, 2021
Back to Basics 01Series
Back-to-Basics MLP
Published on
June 11, 2021
Multi-Hop Inference Explanation Regeneration by Matching Expert RatingsTextgraphs@NAACL-2021 Shared Task Paper
Paper Transformer NLP LLM Multi-Hop
Published on
April 10, 2021
Positioning Yourself for the Future: AI from the BackendPresentation
SGInnovate Singapore NewFrontier
Published on
February 18, 2021
TensorFlow EverywherePresentation
Google TensorFlow NeRF
Published on
December 13, 2020
LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation RankingTextgraphs@COLING-2020 Shared Task Paper
Paper Transformer NLP RNN LLM Multi-Hop
Published on
September 12, 2020
Where the jobs are in AI, and WhyPresentation
SGInnovate Singapore NewFrontier
Published on
July 29, 2020
TensorFlow 2.3 from source on Fedora 32Actually worked
Fedora Python TensorFlow
Published on
February 6, 2020
Deep Learning State of the ArtPresentation
Causality Hyperparameters
Published on
December 19, 2019
TensorBoard LitePresentation
TensorBoard TensorFlow PyTorch
Published on
December 4, 2019
TensorFlow 2.1 from source on Fedora 30Actually worked
Fedora Python TensorFlow
Published on
November 30, 2019
Faces in the Browser using TensorFlow.jsPresentation
TensorFlow.js TensorFlow
Published on
November 12, 2019
Neural Structured LearningPresentation
Probability Hyperparameters TensorFlow
Published on
November 4, 2019
Language Model Assisted Explanation GenerationTextgraphs@EMNLP-IJCNLP-2019 Shared Task Paper
Paper Transformer LLM NLP Multi-Hop
Published on
November 4, 2019
Paraphrasing with Large Language ModelsWNGT@EMNLP-IJCNLP-2019 Paper
Paper Transformer LLM NLP Paraphrasing
Published on
November 3, 2019
Unsupervised Natural Question Answering with a Small ModelFEVER@EMNLP-IJCNLP-2019 Paper
Paper Transformer Unsupervised NLP
Published on
October 10, 2019
TensorFlow . Probability : Hyperparameter SearchPresentation
Probability Hyperparameters TensorFlow
Published on
September 29, 2019
AI Day.TH : Transformers and UnicornsPresentation
Transformer NLP BERT GPT2 ALBERT AIDay Thailand TensorFlow
Published on
July 13, 2019
BigDataX : TFX (and a little bit of TFLite)Presentation
TensorFlow-Extended TensorFlow TFX TFLite
Published on
July 6, 2019
XLNet (Singapore AI Day)Presentation
ImageNet TransferLearning MetaLearning OneShotLearning Reptile AIDay
Published on
June 16, 2019
PyCon.TH : CNNs for Images in TF2.0Presentation
PyCon Thailand CNN TensorFlow
Published on
May 30, 2019
Single-Path NAS and the Lottery Ticket HypothesisPresentation
AutoML NAS Neural-Architecture-Search Lottery-Ticket-Hypothesis TensorFlow
Published on
April 16, 2019
TensorFlow 2.0 : CNNs for ImagesPresentation
CNN TensorFlow
Published on
March 14, 2019
TF.summit highlightsPresentation
TF.summit EdgeTPU TFLite TensorFlow
Published on
February 26, 2019
NeurIPS Lightning TalksPresentation
NeurIPS TensorFlow
Published on
February 26, 2019
The Rise of the Language ModelsPresentation
NLP OpenAI GPT2 Transformer LLM Malaysia
Published on
December 18, 2018
Embed All The ThingsPresentation
Word-Embeddings Embeddings TensorFlow
Published on
December 8, 2018
Building, Growing, and Sustaining ML CommunitiesMLOSS@NIPS-2018 Paper
Paper Communities NeurIPS TensorFlow
Published on
December 8, 2018
Building, growing and sustaining ML communitiesPresentation
Communities NeurIPS TensorFlow
Published on
December 7, 2018
Transformer to CNN: Label-scarce distillation for efficient text classificationCDNNRIA@NIPS-2018 Paper
Paper CNN Transformer Distillation NLP NeurIPS
Published on
December 7, 2018
Scene Graph Parsing by Attention GraphViGIL@NIPS-2018 Paper
Paper PyTorch NeurIPS Attention
Published on
November 21, 2018
Learning Language with BERTPresentation
Magenta TensorFlow
Published on
November 12, 2018
Deep Learning VoicesPresentation
WaveNet TTS
Published on
October 27, 2018
New Stuff in TensorFlow and Machine LearningPresentation
TensorFlow.js TensorFlow
Published on
September 27, 2018
Raw Audio to Piano TranscriptionPresentation
Magenta TensorFlow
Published on
September 4, 2018
Did the Model Understand the Question?Presentation
Explainability Interpretability VisualQA TensorFlow
Published on
August 25, 2018
Google Cloud Next ExtendedPresentation
AutoML TensorFlow
Published on
July 19, 2018
Go Faster with float16Presentation
Mixed-Precision TensorFlow Nvidia
Published on
June 21, 2018
NLP Trends : The Rise of the Language ModelPresentation
NLP OpenAI TensorFlow
Published on
May 17, 2018
TensorFlow.js (Google IO report)Presentation
GoogleIO TensorFlow.js TensorFlow
Published on
May 15, 2018
Intrinsic DimensionPresentation
Intrinsic-Dimension PyTorch
Published on
April 29, 2018
Learn to Learn to Learn (Singapore)Presentation
ImageNet TransferLearning MetaLearning OneShotLearning Reptile AIDay
Published on
April 21, 2018
Learn to Learn to Learn (Thailand)Presentation
ImageNet TransferLearning MetaLearning OneShotLearning Reptile AIDay
Published on
March 25, 2018
Deep Learning DIYPresentation
ImageNet TransferLearning MetaLearning OneShotLearning Reptile FOSSASIA
Published on
March 6, 2018
Introduction to CNNs (Speech Stamps)Presentation
SpeechRecognition CNN TensorFlow
Published on
February 22, 2018
NIPS Tutorial SynposisPresentation
NeurIPS TensorFlow
Published on
January 23, 2018
2018 : What's new and what's changedPresentation
WaveNet TensorFlow
Published on
December 11, 2017
NIPS 2017 ItineraryConference
Conference NeurIPS
Published on
December 8, 2017
Relationships from Entity StreamViGIL@NIPS-2017 Paper
Paper Relation-Networks Relationships PyTorch NeurIPS
Published on
November 21, 2017
Going Deeper - Transfer LearningPresentation
TransferLearning CNN TensorFlow
Published on
October 19, 2017
Relationships from Entity StreamPresentation
Relation-Networks Relationships PyTorch
Published on
October 2, 2017
Deep PocketsGoogle Reddit AMA (2017)
Google DNN
Published on
September 27, 2017
Failures, Hurdles & OpportunitiesGoogle Reddit AMA (2017)
Google DNN
Published on
September 21, 2017
TensorFlow from SourcePresentation
TensorFlow
Published on
September 18, 2017
Unsupervised LearningGoogle Reddit AMA (2017)
Unsupervised DNN
Published on
August 30, 2017
TensorFlow from source on Fedora 26Should be easy
Fedora Python TensorFlow
Published on
August 24, 2017
Smaller NetworksPresentation
Keras CNN ImageNet TensorFlow
Published on
July 20, 2017
Tips and TricksPresentation
Keras TensorFlow
Published on
July 6, 2017
Relation-Networks in PyTorchPresentation
Relation-Networks Relationships PyTorch
Published on
June 24, 2017
Beginners DayPresentation
Training Keras MLP CNN TensorFlow
Published on
June 22, 2017
CaptioningPresentation
Keras RNN CNN NLP Transformer TensorFlow
Published on
May 25, 2017
Text and RNNsPresentation
Keras NER NLP RNN TensorFlow
Published on
May 20, 2017
Fun with TensorFlowPresentation
Keras BubbleBreaker AlphaGo RL TensorFlow
Published on
April 13, 2017
Generative Art : Style-TransferPresentation
ArtStyleTransfer CNN TensorFlow
Published on
March 20, 2017
Introduction to CNNsPresentation
SpeechRecognition CNN TensorFlow
Published on
March 18, 2017
Deep Learning DIYPresentation
NLP SpeechRecognition FOSSASIA CNN
Published on
February 27, 2017
TensorFlow Estimator extra outputsSmuggling tensors out
Estimator TensorFlow
Published on
February 25, 2017
TensorFlow Estimator input_fnOld and New
Estimator CNN MNIST TensorFlow
Published on
February 16, 2017
Going Deeper - Transfer LearningPresentation
TransferLearning CNN TensorFlow
Published on
January 23, 2017
RNNs and NLPPresentation
NLP PyData RNN
Published on
January 19, 2017
Learning NER from ExpertsPresentation
NLP SGInnovate
Published on
December 27, 2016
Deep Learning FrameworksMNIST CNN - Rosetta Stone
MNIST DNN
Published on
December 10, 2016
Review of TensorFlow sugar coatingsCompare and Contrast
DNN TensorFlow
Published on
November 26, 2016
Layers on top of TensorFlowMNIST CNN - Rosetta Stone
MNIST DNN TensorFlow
Published on
October 18, 2016
Compressing Word EmbeddingsICONIP-2016 Paper
Paper Word-Embeddings Sparse NLP DNN
Published on
August 28, 2016
Consciousness and the Social MachineThoughts
AGI PaperTakeaway Conciousness Attention-Schema Awareness Chatbots
Published on
July 30, 2016
Fifth Elephant : Deep Learning WorkshopPreview
Workshop theano lasagne VirtualBox DNN
Published on
July 29, 2016
NLP Lessons LearnedPresentation
NLP
Published on
July 23, 2016
DataScienceSG 2016 : Deep Learning WorkshopPresentation
Workshop theano lasagne VirtualBox DNN
Published on
June 23, 2016
PyConSG 2016 : Deep Learning WorkshopPresentation
Workshop theano lasagne VirtualBox DNN
Published on
May 16, 2016
Compressing Word EmbeddingsarXiv Paper
Paper Word-Embeddings Sparse NLP theano Nvidia
Published on
March 19, 2016
FOSSASIA 2016 : Deep Learning WorkshopPresentation
Workshop theano lasagne VirtualBox DNN
Published on
November 24, 2015
Learning NER from ExpertsIES-2015 Paper
Paper NER theano blocks DNN
Published on
November 17, 2015
TensorFlow @ PyData SGPresentation
python TensorFlow
Published on
November 11, 2015
TensorFlow InstallationPretty Smooth...
python TensorFlow Nvidia
Published on
November 10, 2015
Contributing to TensorFlow(we're not in <s>Kansas</s> GitHub any more)
theano python TensorFlow
Published on
October 27, 2015
A Small Theano Epiphany(may help someone)
theano python
Published on
October 23, 2015
Binary Classification vs Probability Regression{0,1} works better than (0,1)
DNN
Published on
October 19, 2015
Building Google's 1 Billion word corpusKaggle's version is identical
Corpus DNN
Published on
October 9, 2015
Theano and Blocks* in development mode
theano blocks git
Published on
August 31, 2015
Reinforcement Learning CoursePerformance-based Rewards (Musings)
DNN RL
Published on
August 27, 2015
GTC South Asia : NER PosterPoster
Poster NER theano blocks DNN
Published on
August 16, 2015
The Future of Mind - SG Futurists MeetUpPresentation
GOFAI AGI DNN
Published on
June 19, 2015
Machine Learning - Going Deeper with Python and TheanoPresentation
theano blocks bokeh pycon DNN
Published on
February 14, 2015
Batch Normalization - Accelerating Deep Network Training by Reducing Internal Covariate ShiftPaper Takeaway
PaperTakeaway DNN
Published on
January 15, 2015
1 Billion Words for NLPPresentation
NLP DNN
Published on
December 18, 2014
Deep Learning with a little JavascriptPresentation Link
NLP DNN
Published on
December 10, 2014
Understanding English - In 600 lines of ScalaPresentation
NLP DNN
Published on
November 17, 2014
TrailblazingMavericks Required
NLP PCA DNN
Published on
October 30, 2014
Evaluating entity linking with wikipedia - 2013Paper Takeaway
NLP NER NEL PaperTakeaway
Published on
October 14, 2014
Low Entropy Coding with Unsupervised Neural Networks - Harpur 1997Thesis Takeaway
PaperTakeaway DNN
Published on
October 13, 2014
GloVe - Global Vectors for Word Representation - Pennington, Socher, Manning 2014Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
October 12, 2014
Learning word embeddings efficiently with noise-contrastive estimation - Mnih 2013Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
October 7, 2014
Scalable Hierarchical Distributed Language Model - Mnih and Hinton 2009Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
September 29, 2014
Word Representations in Vector Space - Mikolov 2013Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
September 28, 2014
Neural Probabilistic Language Model - Bengio 2003Paper Takeaway
NLP Word-Embeddings PaperTakeaway DNN
Published on
September 17, 2014
Do Deep Nets Really Need to be Deep?Paper Takeaway
PaperTakeaway DNN
Published on
September 16, 2014
Combatting overfitting in TradingHyperparameters
AlgorithmicTrading MachineLearning
Published on
August 25, 2014
Namecard OCR in JavascriptPresentation
javascript nodejs tesseract dv
Published on
June 15, 2014
Sentence Dependencies - d3 VisualizationPresentation
javascript d3js
Published on
March 27, 2014
New-Wave RoboticsPresentation Link
Robots
Published on
December 30, 2012
Neurons : Pyramids vs SheetsIs there really a pyramidal funnel from input to output?
Fundamentals DNN
Published on
December 23, 2012
Eye MovementsHow is the mind's eye built up in the brain?
Fundamentals
Published on
December 16, 2012
The Grandmother NeuronWhat to expect from a Grandmother Neuron
Fundamentals DNN
Published on
December 9, 2012
Sparse NetworksAre Neural Networks over-connected?
DNN
Published on
December 2, 2012
Real Neurons are Very ComplexHow realistic do we need our neural models to be?
DNN
Published on
November 25, 2012
How Much Domain Knowledge is Built-In?Not cheating at vision tasks
DNN
Published on
November 18, 2012
Taking Advantage of Paradigm ShiftsWhat's the most efficient way of getting to AI?
Philosophy Fundamentals
Published on
November 11, 2012
Where's the End of the Rainbow?And what should we expect to find there?
Philosophy Fundamentals
Published on
November 4, 2012
Learning without LabelsAvoiding local minima during childhood
Fundamentals DNN
Published on
October 28, 2012
Parallelism through TimeNeural Networks converge continuously
Parallelism DNN
Published on
October 21, 2012
Dropouts : 2^N networks for 2xN work?How 'dropout' relate to an idea from Genetic Algorithms
Fundamentals Dropout DNN
Published on
October 14, 2012
Unreliability & RobustnessWhat 'dropouts' mean for learning
Fundamentals Dropout DNN
Published on
October 7, 2012
Hierarchy and ConnectednessIs the brain pre-wired in a top-down hierarchy?
Philosophy Fundamentals DNN
Published on
September 30, 2012
How to Create a Map of ConceptsThere's no need to think too hard
Philosophy Fundamentals Concepts
Published on
September 23, 2012
Sleep and DreamsNarratives from noise
Philosophy Fundamentals Narratives
Published on
September 16, 2012
Miller's Law and its AI implicationsUseful chunks and other tradeoffs
Philosophy Fundamentals Concepts
Published on
September 9, 2012
Consciousness has a Narrative QualityWhat is your inner voice telling you?
Philosophy Fundamentals Narratives
Published on
September 2, 2012
Levels of ProcessingThe brain's scope may not be all bad news
Fundamentals DNN
Published on
August 26, 2012
Brain Homogeneity is Very EncouragingSimply replicating one good idea should scale up to AI (somehow)
Philosophy Fundamentals DNN
Published on
August 19, 2012
Bringing the Singularity CloserDesigning single purpose machines is relatively easier than generalized AI
Philosophy Fundamentals
Published on
August 12, 2012
There's no Shopping List for Artificial IntelligenceWhere's the Shopping List for the AI equivalent of the journey to Mars?
Philosophy Fundamentals

Blog Posts : /research/

Navigation

Tag search

DSPy - Gemini and GemmaPresentation

Gemini 1 millionPresentation

Research from NeurIPSPresentation

DevFest SG Talk: No-code Prototyping with FlowisePresentation

What's Next in RAGPresentation

LLMs and ReasoningPresentation

Keras CorePresentation

Open-Endedness and Large Language ModelsPresentation

Self-Improvement (for Language Models)Presentation

Code and Reasoning with LLMsPresentation

MediaPipe with a bit of BardPresentation

Images+LLMs : Advances in Multimodal ModelsPresentation

Interacting with LLMs in a post-chatGPT worldPresentation

Cloud Platforms & Other Super Fun StuffPresentation

News You Can Use - Practical StuffPresentation

Voices In, Voices Out - ASR, TTSPresentation

Prompting, Instructions and the Future of Large Language ModelsPresentation

World of Diffusion : Theory, Shortcuts & FuturePresentation

Running MineRL within a ContainerMineRL

What’s New in AI & Machine LearningPresentation

RETRO vs LaMDA - Clash of the TransformersPresentation

Text Similarity for NLPWorkshop

Back to Basics 03Series

Back to Basics 02Series

Back to Basics 01Series

GPT : Beams, Sampling &amp; morePresentation

Investigating Prompt Engineering in Diffusion ModelsarXiv Paper

PerceiverIOPresentation

Exploring Different Approaches for Multilingual TasksCASE@ACL-IJCNLP-2021 Shared Task Paper

Back to Basics 03Series

Back to Basics 02Series

Back to Basics 01Series

Multi-Hop Inference Explanation Regeneration by Matching Expert RatingsTextgraphs@NAACL-2021 Shared Task Paper

Positioning Yourself for the Future: AI from the BackendPresentation

TensorFlow EverywherePresentation

LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation RankingTextgraphs@COLING-2020 Shared Task Paper

Where the jobs are in AI, and WhyPresentation

TensorFlow 2.3 from source on Fedora 32Actually worked

Deep Learning State of the ArtPresentation

TensorBoard LitePresentation

TensorFlow 2.1 from source on Fedora 30Actually worked

Faces in the Browser using TensorFlow.jsPresentation

Neural Structured LearningPresentation

Language Model Assisted Explanation GenerationTextgraphs@EMNLP-IJCNLP-2019 Shared Task Paper

Paraphrasing with Large Language ModelsWNGT@EMNLP-IJCNLP-2019 Paper

Unsupervised Natural Question Answering with a Small ModelFEVER@EMNLP-IJCNLP-2019 Paper

TensorFlow . Probability : Hyperparameter SearchPresentation

AI Day.TH : Transformers and UnicornsPresentation

BigDataX : TFX (and a little bit of TFLite)Presentation

XLNet (Singapore AI Day)Presentation

PyCon.TH : CNNs for Images in TF2.0Presentation

Single-Path NAS and the Lottery Ticket HypothesisPresentation

TensorFlow 2.0 : CNNs for ImagesPresentation

TF.summit highlightsPresentation

NeurIPS Lightning TalksPresentation

The Rise of the Language ModelsPresentation

Embed All The ThingsPresentation

Building, Growing, and Sustaining ML CommunitiesMLOSS@NIPS-2018 Paper

Building, growing and sustaining ML communitiesPresentation

Transformer to CNN: Label-scarce distillation for efficient text classificationCDNNRIA@NIPS-2018 Paper

Scene Graph Parsing by Attention GraphViGIL@NIPS-2018 Paper

Learning Language with BERTPresentation

Deep Learning VoicesPresentation

New Stuff in TensorFlow and Machine LearningPresentation

Raw Audio to Piano TranscriptionPresentation

Did the Model Understand the Question?Presentation

Google Cloud Next ExtendedPresentation

Go Faster with float16Presentation

NLP Trends : The Rise of the Language ModelPresentation

TensorFlow.js (Google IO report)Presentation

Intrinsic DimensionPresentation

Learn to Learn to Learn (Singapore)Presentation

Learn to Learn to Learn (Thailand)Presentation

Deep Learning DIYPresentation

Introduction to CNNs (Speech Stamps)Presentation

NIPS Tutorial SynposisPresentation

2018 : What's new and what's changedPresentation

GPT : Beams, Sampling & morePresentation

Failures, Hurdles & OpportunitiesGoogle Reddit AMA (2017)