Pinboard (debasishg)
https://pinboard.in/u:debasishg/public/
recent bookmarks from debasishg[2002.05709] A Simple Framework for Contrastive Learning of Visual Representations2020-04-17T20:43:42+00:00
https://arxiv.org/abs/2002.05709
debasishgmachine-learning deep-learning contrastive-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:b49af18df60e/Entropy and mutual information in models of deep neural networks - IOPscience2020-01-16T18:16:30+00:00
https://iopscience.iop.org/article/10.1088/1742-5468/ab3430
debasishgdeep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:7002fb6513c1/On the information bottleneck theory of deep learning - IOPscience2020-01-16T18:16:16+00:00
https://iopscience.iop.org/article/10.1088/1742-5468/ab3985
debasishgdeep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:dd309394034d/The case for Bayesian Deep Learning2020-01-15T20:02:23+00:00
https://cims.nyu.edu/~andrewgw/caseforbdl.pdf
debasishgdeep-learning bayesian machine-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:4e5038761a78/The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time2019-04-18T20:47:10+00:00
http://jalammar.github.io/illustrated-transformer/
debasishgdeep-learning nlp attention transformerhttps://pinboard.in/https://pinboard.in/u:debasishg/b:50947348e17c/Attention? Attention!2019-04-18T20:46:52+00:00
https://lilianweng.github.io/lil-log/2018/06/24/attention-attention.html
debasishgdeep-learning nlp attention transformerhttps://pinboard.in/https://pinboard.in/u:debasishg/b:c2d6bc964120/It’s Only Natural: An Excessively Deep Dive Into Natural Gradient Optimization2019-03-09T15:27:50+00:00
https://medium.com/@cody.marie.wild/its-only-natural-an-excessively-deep-dive-into-natural-gradient-optimization-75d464b89dbb
debasishggradient-descent natural_gradient deep-learning machine-learning optimizationhttps://pinboard.in/https://pinboard.in/u:debasishg/b:61deaf7a9d2c/Modern Deep Learning Techniques Applied to Natural Language Processing by Authors2019-03-07T18:00:12+00:00
https://nlpoverview.com/index.html
debasishgnlp deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:6e35e4103fae/[1707.07435] Deep Learning based Recommender System: A Survey and New Perspectives2019-03-05T18:21:44+00:00
https://arxiv.org/abs/1707.07435
debasishgrecommender deep-learning embedding word-embeddinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:7f73312e7d4f/[1705.01509] Neural Models for Information Retrieval2019-03-01T14:49:33+00:00
https://arxiv.org/abs/1705.01509
debasishgdeep-learning embedding word-embedding nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:b16d7210947e/hexiangnan/neural_collaborative_filtering: Neural Collaborative Filtering2019-02-28T21:09:38+00:00
https://github.com/hexiangnan/neural_collaborative_filtering
debasishgdeep-learning recommender neural-collaborative-filteringhttps://pinboard.in/https://pinboard.in/u:debasishg/b:752d12ba4669/Paper Review: Neural Collaborative Filtering Explanation & Implementation2019-02-28T21:09:08+00:00
https://towardsdatascience.com/paper-review-neural-collaborative-filtering-explanation-implementation-ea3e031b7f96
debasishgdeep-learning recommender neural-collaborative-filteringhttps://pinboard.in/https://pinboard.in/u:debasishg/b:22dc538345a5/[1708.05031] Neural Collaborative Filtering2019-02-28T21:08:46+00:00
https://arxiv.org/abs/1708.05031
debasishgdeep-learning recommender neural-collaborative-filteringhttps://pinboard.in/https://pinboard.in/u:debasishg/b:95d69d981b0b/Neural Networks for Collaborative Filtering2019-02-28T21:08:14+00:00
https://nipunbatra.github.io/blog/2017/neural-collaborative-filtering.html
debasishgdeep-learning recommender neural-collaborative-filteringhttps://pinboard.in/https://pinboard.in/u:debasishg/b:99c9b8b5c567/[1603.04259] Item2Vec: Neural Item Embedding for Collaborative Filtering2019-02-16T21:22:16+00:00
https://arxiv.org/abs/1603.04259
debasishgembedding deep-learning recommenderhttps://pinboard.in/https://pinboard.in/u:debasishg/b:cb2504edfda8/Neural Network Embedding Recommendation System | Kaggle2019-02-16T21:21:05+00:00
https://www.kaggle.com/willkoehrsen/neural-network-embedding-recommendation-system
debasishgembedding deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:1fb8b5bdfd05/Building a Recommendation System Using Neural Network Embeddings2019-02-16T21:19:00+00:00
https://towardsdatascience.com/building-a-recommendation-system-using-neural-network-embeddings-1ef92e5c80c9
debasishgembedding deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:cfea7592f2d9/Embeddings@Twitter2019-02-09T20:54:47+00:00
https://blog.twitter.com/engineering/en_us/topics/insights/2018/embeddingsattwitter.html
debasishgnlp embedding twitter machine-learning deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:cd1135078bd6/[1809.08267] Neural Approaches to Conversational AI2018-12-18T21:20:31+00:00
https://arxiv.org/abs/1809.08267
debasishgnlp deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:f1fc42bcb858/Towards Natural Language Semantic Code Search | GitHub Engineering2018-12-07T19:19:00+00:00
https://githubengineering.com/towards-natural-language-semantic-code-search/
debasishggithub deep-learning nlp word-embedding word2vechttps://pinboard.in/https://pinboard.in/u:debasishg/b:f92a03a0ba00/Deep Learning Is Not Good Enough, We Need Bayesian Deep Learning for Safe AI - Home2018-11-30T19:19:04+00:00
https://alexgkendall.com/computer_vision/bayesian_deep_learning_for_safe_ai/
debasishgbayesian deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:4794fbf045ef/(2/3) Anirbit Mukherjee's answer to How should I start research on neural networks? I work in IT and possess a decent hold on the subject of deep learning, but I wish to indulge in research. - Quora2018-11-28T15:44:05+00:00
https://www.quora.com/How-should-I-start-research-on-neural-networks-I-work-in-IT-and-possess-a-decent-hold-on-the-subject-of-deep-learning-but-I-wish-to-indulge-in-research/answer/Anirbit-Mukherjee?ch=10&share=d0685944&srid=XZiP#
debasishgmltheory deep-learning machine-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:05045119b052/Speed up your deep learning language model up to 1000% with the adaptive softmax, Part 2: Pytorch…2018-11-16T20:24:15+00:00
https://towardsdatascience.com/speed-up-your-deep-learning-language-model-up-to-1000-with-the-adaptive-softmax-part-2-pytorch-d47fe9a56152
debasishgnlp softmax deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:fdc56dde669a/Speed up your deep learning language model up to 1000% with the adaptive softmax, Part 12018-11-16T20:23:49+00:00
https://towardsdatascience.com/speed-up-your-deep-learning-language-model-up-to-1000-with-the-adaptive-softmax-part-1-e7cc1f89fcc9
debasishgnlp softmax deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:ed8ccb52205c/[1810.02054] Gradient Descent Provably Optimizes Over-parameterized Neural Networks2018-11-16T19:39:43+00:00
https://arxiv.org/abs/1810.02054
debasishgdeep-learning mltheory gradient-descenthttps://pinboard.in/https://pinboard.in/u:debasishg/b:6801fbdc9ce5/[1810.04207] The Computational Complexity of Training ReLU(s)2018-11-16T19:36:28+00:00
https://arxiv.org/abs/1810.04207
debasishgdeep-learning mltheoryhttps://pinboard.in/https://pinboard.in/u:debasishg/b:12cd85cb99c0/[1811.03804] Gradient Descent Finds Global Minima of Deep Neural Networks2018-11-16T19:36:02+00:00
https://arxiv.org/abs/1811.03804
debasishgdeep-learning mltheory gradient-descenthttps://pinboard.in/https://pinboard.in/u:debasishg/b:eb47fbb9e5c7/[1811.03962] A Convergence Theory for Deep Learning via Over-Parameterization2018-11-16T19:35:03+00:00
https://arxiv.org/abs/1811.03962
debasishgdeep-learning mltheory gradient-descenthttps://pinboard.in/https://pinboard.in/u:debasishg/b:b570c0e3544f/[1811.04918] Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers2018-11-16T19:34:24+00:00
https://arxiv.org/abs/1811.04918
debasishgdeep-learning neural_network theory gradient-descent mltheoryhttps://pinboard.in/https://pinboard.in/u:debasishg/b:fdc98c2ddc3f/Introduction to Amazon SageMaker Object2Vec | AWS Machine Learning Blog2018-11-10T19:19:04+00:00
https://aws.amazon.com/blogs/machine-learning/introduction-to-amazon-sagemaker-object2vec/
debasishgword-embedding word2vec deep-learning amazon-sagemakerhttps://pinboard.in/https://pinboard.in/u:debasishg/b:912dfd8846f8/(13) Word embeddings for product recommendation | LinkedIn2018-11-10T19:18:11+00:00
https://www.linkedin.com/pulse/word-embeddings-product-recommendation-muthusamy-chelliah/
debasishgword-embedding word2vec recsys deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:e7858dc546b0/[1601.01356] From Word Embeddings to Item Recommendation2018-11-10T19:17:30+00:00
https://arxiv.org/abs/1601.01356
debasishgword2vec word-embedding recsys deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:ada633570f92/[1809.00979] Regularizing Matrix Factorization with User and Item Embeddings for Recommendation2018-11-10T19:17:12+00:00
https://arxiv.org/abs/1809.00979
debasishgword-embedding word2vec recsys deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:47dea9d0ae9e/Word2vec Inspired Recommendations In Production – Building Creative Market – Medium2018-11-10T19:16:40+00:00
https://medium.com/building-creative-market/word2vec-inspired-recommendations-in-production-f2c6a6b5b0bf
debasishgword-embedding word2vec recsys deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:53d18c662981/demo (Streamlit)2018-11-03T20:09:21+00:00
http://insight.streamlit.io/0.13.3-8ErS/index.html?id=QAKzY9mLjr4WbTCgxz3XBX
debasishgdeep-learning word-embedding word2vec neural_networkhttps://pinboard.in/https://pinboard.in/u:debasishg/b:206e69173dcb/Finding Similar Quora Questions with Word2Vec and Xgboost2018-11-03T18:55:30+00:00
https://towardsdatascience.com/finding-similar-quora-questions-with-word2vec-and-xgboost-1a19ad272c0d
debasishgdeep-learning word2vec word-embeddinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:30df44381ad5/The Mystery of the Origin — Cancer Type Classification using Fast.AI Libray2018-10-30T06:22:38+00:00
https://medium.com/@alenaharley/the-mystery-of-the-origin-cancer-type-classification-using-fast-ai-libray-212eaf8d3f4e
debasishgdeep-learning fast.aihttps://pinboard.in/https://pinboard.in/u:debasishg/b:fabfe917b65d/[1810.09591] Applying Deep Learning To Airbnb Search2018-10-29T20:15:19+00:00
https://arxiv.org/abs/1810.09591
debasishgdeep-learning machine-learning word-embedding airbnb embeddinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:7980895acff5/Listing Embeddings in Search Ranking – Airbnb Engineering & Data Science – Medium2018-10-29T20:14:15+00:00
https://medium.com/airbnb-engineering/listing-embeddings-for-similar-listing-recommendations-and-real-time-personalization-in-search-601172f7603e
debasishgdeep-learning machine-learning word-embedding airbnbhttps://pinboard.in/https://pinboard.in/u:debasishg/b:6d07157f0b95/Real-time Personalization using Embeddings for Search Ranking at Airbnb2018-10-29T20:13:54+00:00
https://dl.acm.org/citation.cfm?id=3219885
debasishgdeep-learning machine-learning airbnb word-embeddinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:e4ce8279e658/[1802.01528] The Matrix Calculus You Need For Deep Learning2018-10-21T18:11:01+00:00
https://arxiv.org/abs/1802.01528
debasishgdeep-learning math-for-ml mathhttps://pinboard.in/https://pinboard.in/u:debasishg/b:569de9f5d212/nlp_estimators.ipynb - Colaboratory2018-10-05T17:10:55+00:00
https://colab.research.google.com/drive/1oXjNYSJ3VsRvAsXN4ClmtsVEgPW_CX_c?hl=en
debasishgnlp deep-learning tensorflowhttps://pinboard.in/https://pinboard.in/u:debasishg/b:3c3715043111/Emoji Prediction using Time Embeddings – Towards Data Science2018-09-29T19:31:03+00:00
https://towardsdatascience.com/emoji-prediction-using-time-embeddings-de124d8c8c6e
debasishgnlp word-embedding word2vec deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:45627096a307/📚The Current Best of Universal Word Embeddings and Sentence Embeddings2018-09-28T19:30:04+00:00
https://medium.com/huggingface/universal-word-sentence-embeddings-ce48ddc8fc3a
debasishgnlp deep-learning word-embedding word2vechttps://pinboard.in/https://pinboard.in/u:debasishg/b:b1a55e6dd103/[1301.3781] Efficient Estimation of Word Representations in Vector Space2018-09-28T15:36:49+00:00
https://arxiv.org/abs/1301.3781
debasishgdeep-learning nlp word-embedding word2vechttps://pinboard.in/https://pinboard.in/u:debasishg/b:dc9feeb640db/[1310.4546] Distributed Representations of Words and Phrases and their Compositionality2018-09-28T15:36:17+00:00
https://arxiv.org/abs/1310.4546
debasishgdeep-learning nlp word-embedding word2vechttps://pinboard.in/https://pinboard.in/u:debasishg/b:5658c92499af/[1502.03520] RAND-WALK: A Latent Variable Model Approach to Word Embeddings2018-09-22T19:54:16+00:00
https://arxiv.org/abs/1502.03520
debasishgdeep-learning word-embedding word2vec glove nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:7ec2f16134b1/[1601.03764] Linear Algebraic Structure of Word Senses, with Applications to Polysemy2018-09-22T19:53:49+00:00
https://arxiv.org/abs/1601.03764
debasishgdeep-learning word-embedding word2vec glove nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:a91fc72b73c1/Linear algebraic structure of word meanings – Off the convex path2018-09-22T19:53:02+00:00
http://www.offconvex.org/2016/07/10/embeddingspolysemy/
debasishglinear_algebra nlp word2vec deep-learning word-embedding glovehttps://pinboard.in/https://pinboard.in/u:debasishg/b:23075f080c1e/Word Embeddings: Explaining their properties – Off the convex path2018-09-22T19:52:18+00:00
http://www.offconvex.org/2016/02/14/word-embeddings-2/
debasishgword-embedding word2vec nlp glove deep-learning embeddinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:3a9bcf5756d4/Semantic Word Embeddings – Off the convex path2018-09-22T19:51:51+00:00
https://www.offconvex.org/2015/12/12/word-embeddings-1/
debasishgword-embedding word2vec deep-learning nlp glovehttps://pinboard.in/https://pinboard.in/u:debasishg/b:d4f6924cc0c8/[1603.05027] Identity Mappings in Deep Residual Networks2018-09-21T16:34:03+00:00
https://arxiv.org/abs/1603.05027
debasishgdeep-learning resnet identity-mappinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:33c16cfb8f80/[1611.04231] Identity Matters in Deep Learning2018-09-21T16:33:43+00:00
https://arxiv.org/abs/1611.04231
debasishgdeep-learning resnet identity-mappinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:cd6055ef4293/Representing smooth functions as compositions of near-identity functions with implications for deep network optimization2018-09-21T16:33:21+00:00
http://phillong.info/publications/BEL18_identity.pdf
debasishgdeep-learning resnet identity-mappinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:0c5dd83c232c/Review of Identity Mappings in Deep Residual Networks2018-09-17T17:51:11+00:00
https://medium.com/deepreview/review-of-identity-mappings-in-deep-residual-networks-ad6533452f33
debasishgdeep-learning resnet identity-mappinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:3f5199dd6ace/Review of Deep Residual Learning for Image Recognition2018-09-17T17:50:57+00:00
https://medium.com/deepreview/review-of-deep-residual-learning-for-image-recognition-a92955acf3aa
debasishgdeep-learning resnet identity-mappinghttps://pinboard.in/https://pinboard.in/u:debasishg/b:b2f4410588f9/[1806.08730] The Natural Language Decathlon: Multitask Learning as Question Answering2018-09-14T20:15:25+00:00
https://arxiv.org/abs/1806.08730
debasishgnlp deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:6d0fe4631066/How To Create Data Products That Are Magical Using Sequence-to-Sequence Models2018-09-14T18:30:32+00:00
https://towardsdatascience.com/how-to-create-data-products-that-are-magical-using-sequence-to-sequence-models-703f86a231f8
debasishgnlp deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:af87a088bb95/Don’t Use Dropout in Convolutional Networks. – Towards Data Science2018-09-08T20:41:41+00:00
https://towardsdatascience.com/dont-use-dropout-in-convolutional-networks-81486c823c16
debasishgdeep-learning cnn dropouthttps://pinboard.in/https://pinboard.in/u:debasishg/b:4544100ec8cd/[D] What happened to DropOut? : MachineLearning2018-09-08T20:41:18+00:00
https://www.reddit.com/r/MachineLearning/comments/5l3f1c/d_what_happened_to_dropout/
debasishgdeep-learning cnn dropouthttps://pinboard.in/https://pinboard.in/u:debasishg/b:5dff6b761331/Deep Learning for NLP: An Overview of Recent Trends2018-09-08T18:32:29+00:00
https://medium.com/dair-ai/deep-learning-for-nlp-an-overview-of-recent-trends-d0d8f40a776d
debasishgdeep-learning cnn nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:29805c6af49d/[1803.01271] An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling2018-08-25T14:10:03+00:00
https://arxiv.org/abs/1803.01271
debasishgcnn machine-learning deep-learning nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:ffa0ab0a215f/[1611.01462] Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling2018-08-25T14:07:41+00:00
https://arxiv.org/abs/1611.01462
debasishgdeep-learning nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:a8c43de756de/Transfer Learning in NLP – Feedly Blog2018-08-17T18:06:18+00:00
https://blog.feedly.com/transfer-learning-in-nlp/
debasishgdeep-learning nlp transfer-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:318af6acc736/Transfer Learning in Natural Language Processing | Intel® Software2018-08-17T18:05:58+00:00
https://software.intel.com/en-us/articles/transfer-learning-in-natural-language-processing
debasishgdeep-learning nlp transfer-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:cd1e31683e4c/[1801.06146] Universal Language Model Fine-tuning for Text Classification2018-08-17T16:03:30+00:00
https://arxiv.org/abs/1801.06146
debasishgdeep-learning machine-learning nlp lstmhttps://pinboard.in/https://pinboard.in/u:debasishg/b:714063366dbf/[1708.02182] Regularizing and Optimizing LSTM Language Models2018-08-17T16:02:32+00:00
https://arxiv.org/abs/1708.02182
debasishgdeep-learning lstm machine-learning nlphttps://pinboard.in/https://pinboard.in/u:debasishg/b:132feb20713f/DropConnect Neural Network2018-08-17T15:56:24+00:00
https://cs.nyu.edu/~wanli/dropc/
debasishgmachine-learning dropout neural_network deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:23a8ce7177d3/Deep Reinforcement Learning Doesn't Work Yet2018-08-15T18:16:18+00:00
https://www.alexirpan.com/2018/02/14/rl-hard.html
debasishgreinforcement-learning deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:d9ef939cf3a3/Neural Style Transfer: Creating Art with Deep Learning using tf.keras and eager execution2018-08-08T11:28:53+00:00
https://medium.com/tensorflow/neural-style-transfer-creating-art-with-deep-learning-using-tf-keras-and-eager-execution-7d541ac31398
debasishgkeras tensorflow ipython deep-learninghttps://pinboard.in/https://pinboard.in/u:debasishg/b:0817220ed590/