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[2010.05607] The elephant in the interpretability room: Why use attention as explanation when we have saliency methods?
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[2011.01926] Generating Unobserved Alternatives
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Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Volume 1: Foundations
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Simple Alpha Zero
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Peeragogy
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[2005.09007] U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
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[2006.13662] Labelling unlabelled videos from scratch with multi-modal self-supervision
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[2011.01731] RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
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Matrices as Tensor Network Diagrams
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Čech Complex Playground
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Tensor Network
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Tensor contraction
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Visualizing Tensor Operations with Factor Graphs
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google/TensorNetwork: A library for easy and efficient manipulation of tensor networks.
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Canonical correlation
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[2002.12327] A Primer in BERTology: What we know about how BERT works
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Einops — a new style of deep learning code
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[2009.01719] Grounded Language Learning Fast and Slow
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README.md at master · tensorflow
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[1912.05537] Encoding Musical Style with Transformer Autoencoders
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datamade/probablepeople: a python library for parsing unstructured western names into name components.
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Grand Central Index
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Toward an exploratory medium for mathematics
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Elicit
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Domain.com
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Knoah
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[1912.03458] Dynamic Convolution: Attention over Convolution Kernels
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[2011.05864] On the Sentence Embeddings from Pre-trained Language Models
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Search all Publications on Machine Learning for Source Code · Machine Learning for Big Code and Naturalness
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[1910.10261] QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions
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Spikes, Stats and Source Code: Hacking with The Linderman Lab
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InstaCalc Online Calculator
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Contrastive Learning for Debiased Candidate Generation at Scale
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Jacobian matrix and determinant
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[1802.10026] Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
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[1907.04471] Neural Input Search for Large Scale Recommendation Models
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Sequence-to-sequence learning with Transducers
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Anatomize Deep Learning with Information Theory
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Publications
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linen at master · google
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Cayley graph
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Category Theory Illustrated
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Category Theory: Visual Mathematics for the 21st century
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Prabros.
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Tacit programming
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Graph File Systems
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[2005.00545] Low-Dimensional Hyperbolic Knowledge Graph Embeddings
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Google AI Blog: Optimizing Multiple Loss Functions with Loss-Conditional Training
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Machine Learning Explanations with Topological Data Analysis
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s3 — AWS CLI 1.19.28 Command Reference
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