__Index_of__Articles
__Index_of__BookNotes
BookTalk - Piranesi index Summary - Notes on a Nervous Planet by Matt Haig
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AI and Doom Easier Deep Learning Research for Beginners Experiments with LLM temperature GRAD CAM index Notes - Machine Learning System Design Parsing and Querying Tensorboard logs - A Mini Tutorial Tree of Thoughts Explained Simply (LLMs Dehyped - 1)
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index What I learnt from an AI Masters Part 2 Writing your own Markdown to LaTEX parser
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Link to original__Index_of__Mental-Health
ADHD + Autism - Challenges and hopeful workarounds What_I_learnt_about_myself_after_two_years
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A letter to my junior school art teacher An understanding of will - Part 1 Hitchhikers Guide to AI for Startups Learnings from this time back home Professional Reports and Papers with LaTEX Sigh, Gone - My Thoughts on the Book Simplify - Joshua becker.txt Sklearn and OpenML hackathon What I learnt from an AI Masters Part 1
Link to original__Index_of__Productivity
CheckEmptySections Extensions that make writing research papers easier Extracting Highlights from a PDF easily index Obisidian Daily Notes Obsidian Plugins Obsidian tutorial Pomodoro - A means but not the end Taking notes from websites to markdown - A workflow
Link to originalcreate_post.shLink to original__Index_of__Scalar
Autoencoders with Convolutions Building a GAN from scratch Building the Word2Vec Model in Gensim [[Articles/Scalar/CycleGAN scalar|CycleGAN scalar]] DCGAN – Adding convolution to a GAN Differences between Discriminative and Generative models Generating Images using GANs in Tensorflow Image Classification using TensorFlow Implementing DCGAN to generate CIFAR images Improving Model Accuracy in Image Classification index Intro to Conditional GANS [[Articles/Scalar/Masked Language Modeling in BERT scalar|Masked Language Modeling in BERT scalar]] Reconstructing the MNIST images using an autoencoder Scalar Articles Siamese Network StackGAN Text_proc.ipynb Time series forecasting using LSTM Transfer Learning and Fine-tuning
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__Index_of__Daily-Notes
__Index_of__KB
__Index_of__AI
__Index_of__Book-Notes
_Index_of_Book-Notes bitter_lesson Focused Life indexLink to original__Index_of__Understanding-Deep-Learning
_Index_of_Understanding-Deep-Learning Chapter 1 - Introduction Chapter 4 - Deep Neural Networks Chapter 5 - Loss functions Chapter 6 - Fitting models Chapter 7 - Gradients and Initialization Chapter 8 - Measuring performanc Chapter 9 - Regularization Chapter 10 - CNNs Chapter 11 - Residual Networks Chapter 12 - Transformers Chapter 13 - Graph Networks Chapter 14 - Unsupervised Learning Chapter 16 - Normalizing Flows Chapter 17 - VAE Chapter 18 - Diffusion index The Programmers Brain
Link to original__Index_of__Datasets
_Index_of_Datasets 1D-ALVINN AudioSet classification AudioSet Benchmark LLM Billion Word BooksCorpus BUCC CIFAR Cityscapes COCO CommonCrawl CUB-200-2011 4 CUB-200-2011 DrawBench English Wikipedia Europarl-ST Fashion MNIST FGVC Aircraft FGVCx Fine grained datasets Fisher Spanish-English Flickr30K GLUE Google Conceptual Captions Google voice search task GTA5 HMDB51 IDRiD ILSVRC imageCaptioning ImageNet IMDB iNaturalist ISIC 2018 Kinetics KITTI Kvasir Dataset Labeled Faces in the Wild LibriSpeech MILAN MILANNOTATIONS MIT300 MIT1003 MLDoc MMLU MNIST MoCO Modality Moment in Time MSCOCO MUSAN NIST 2008 Speaker Recognition Evaluation dataset NIST SRE 2016 Cantonese NLVR2 3 OSIE PASCAL VOC PASCAL-S People Art Dataset Picasso Dataset Places Places365 PlantCLEF RACE Salicon dataset SBU Captions SceneNet RGB-D Shapes Dataset Speakers in the Wild SQuAD Stanford Dogs Stationarity STL-10 SUNCG SVHN Swichboard SYNTHIA UCF101 VGGFace2 3 Visual Commonsense Reasoning Visual Genome VQAv2 3 Wall Street Journal task WMT14 XLSR YFCC100M
Link to original__Index_of__Ethics
_Index_of_Ethics A declarative modular framework for representing and applying ethical principles A low-cost ethics shaping approach for designing reinforcement learning agents A voting-based system for ethical decision making Belief-Desire-Intention blind ethical judgement Building Ethics into Artificial Intelligence Capture bias Clear Thinking Collective Ethical Decision Frameworks Confirmation Bias Consequentialist ethics Coping Theory Counterfactual Fairness Coverage Bias Coverage of ethics within the artificial intelligence and machine learning academic literature Cross-dataset generalization Demographic Parity Deontological ethics Disparate Impact Disparate Treatment Embedding ethical principles in collective decision support systems Equality of Opportunity Equalized Odds Ethical dilemmas Even angels need the rules AI, roboethics, and the law Fairness Constraint fully informed ethical judgement GenEth In-group Bias Individual Fairness Inter-rater Agreement Interpretive Labor Label bias Mediatic Behavior Micromarriage Moral decision making frameworks for artificial intelligence Moral Machine project MoralDM Negative Set Bias Non-response Bias Norms as a basis for governing sociotechnical systems Out-group Homogeneity Bias partially informed ethical judgement Participation Bias PIUQ Preferences and ethical principles in decision making Research Debt Research Distillation Research Intimacy sacred values Sampling Bias Selection Bias swap-dominance trolley scenario Unawareness Unbiased Look at Dataset Bias Utilitarian ethics Virtue ethics
Link to original__Index_of__Machine Learning
__Index_of__Contrastive Learning
_Index_of_Contrastive Learning NCE
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_Index_of_Distributions Bernoulli Distribution Beta Distribution Binomial Distribution Boltzmann Distribution Categorical Distribution CDF Class Conditional distribution Dirichlet Distribution Ergodic Exponential Distribution Initialization Invariant Distribution KMeans Laplace Distribution Markov Initial Distribution Multinomial Distribution N-dim Normal Normal Distribution Nucleus Sampling PDF PMF Point Distribution Poisson Distribution Poisson Process Proto Distributions Proto PDF Proto PMF Proxy Objective Rejection Sampling Sampler Stratified Random Sampling Uniform Distribution Uniform Sampling Van Mises distribution
Link to original__Index_of__Explainability
_Index_of_Explainability Accessibility AdaDelta Adaptive Whitening Saliency Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision A Survey Auditability Back Propamine Bayesian Rule List Beware of Inmates Running the Asylum Blur Baseline Broden Causability Causality Classifying a specific image region using convolutional nets with an ROI mask as input Co adaptation Comparing Data Augmentation Strategies for Deep Image Classification Comprehensibility Conductance Confidence Contributions of Shape, Texture, and Color in Visual Recognition Abstract Counterfactual Images Counterfactual Impact Evaluation DeconvNet Deep Inside Convolutional Networks Deep Neural Networks are Easily Fooled High Confidence Predictions for Unrecognizable Images Deep Visual Explanation DeepFool DeepLIFT Dynamic visual attention Elaborateness Embedding Human Knowledge into Deep Neural Network via Attention Map Explainability Defn Explainability Taxonomy Explainable Artificial Intelligence (XAI) Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Explanation is not a Technical Term Explanator Fairness Faithfulness FGSM Filter Wise Normalization GAM Gaussian Baseline GradCAM++ Gradient Sensitivity Graph-based visual saliency Group fairness Guided BackProp Guided GradCAM Image Data Augmentation Survey Implementation Invariance Independence Informativeness Integrated Gradients Interactivity Interpretability and Explainability A Machine Learning Zoo Mini-tour Interpretability Interpretation of Neural networks is fragile Layerwise Conservation Principle Layerwise Relevance Propagation Limited features LRP Manifold Maximum Distance Baseline Mean Observed Dissimilarity Mental Model Matching Mini Batch GD Minimization and reporting of negative impacts Multimodal Explanation Nesterov Momentum Noise Tunnel Normalized Inverted Structural Similarity Index Parent Approximations Partial Dependence Plot pixelattribution Prediction Difference Analysis Privacy awareness PromptIR Proxy Attention Proxy features Random Directions Redress RETAIn RISE Saliency using natural statistics Saliency vs Attention SAM-ResNet Sanity Checks for Saliency Maps Separation SGD Momentum SGD Sharpness and Flatness Simple Gradient Descent Skewed data Smooth-Grad SmoothGrad Square Social Construction of XAI, do we need one definition to rule them all SP-LIME Structural Similarity Index Sufficiency Summit Tainted data Textbooks are all you need The Unreliability of Saliency Methods There and back again Towards A Rigorous Science of Interpretable Machine Learning Training Trajectories Trajectory Plotting with PCA Transferability Transparency TREPAN Trustworthiness Understandability Uniform baseline Use Case Utility VarGrad Variation in Dissimilarity Variation in Dissimilarity Vision Explainibility Visualizing the Impact of Feature Attribution Baselines Visualizing the Loss Landscape of Neural Nets Whos Thinking, A push for human centered evaluation of LLMs XAI
Link to original__Index_of__Graph
_Index_of_Graph Adjacency matrix Arbitrary Relation Bias Area Minimization Batching for GNN Bend Minimization Challenges of Graphs Context Similarity Cross angle Maximization Cross Minimization Density Edge Graphs Edge Prediction Tasks Equivariance and Invariance for Graphs Example GCN Layer Force Directed Graph Layout GQL for SQL Users Graph convolutional network Graph Level Tasks Graph mean pooling Graph Neural Network Graphs Hierarchical Edge Bundling Inductive Bias Inductive Models Kipf Normalization Layers for GNNs Length Optimization Locality Meta AI Speech from Brain Node Distribution Node Level Tasks Node Link Diagram Parameter Sharing for Graphs Properties of Adjacency matrix Relational Inductive Bias Representing Graphs Sequential Relation Bias Small World graphs Symmetries Node Link Transductive Models Types of Graphs Weak Relation Bias
Link to original__Index_of__Handwriting Recognition
_Index_of_Handwriting Recognition Hit list
Link to original__Index_of__LLM
_Index_of_LLM Distributed training for LLMs
Link to original__Index_of__Models
_Index_of_Models 1x1 conv Activation Functions Adagrad Adaptive Gradient Clipping Adaptive Input Representation Additive Attention Additive coupling layer ADVENT ALBERT Alex Net Alphacode architecture Atrous Convolution Attention NMT Attention AudioLM Auto Encoders AutoDistill autoregressive flows Backprop Bahdanau Attention BART Basic GAN Basic RNN Architectures Basic Transformer Basics of Federated Learning Beam search BEiT BERT Best Maching Unit Bi Directional RNN Bias nodes Big Bird Big-Bench BinaryBERT BlockDrop BlockNeRF Bruckhaus - 2024 - RAG Does Not Work for Enterprises CAM Capsule Layer Capsule Network Causal 1D Conv Causal Dilated Conv Causal Language Model Channels Chat GPT is Not All You Need ChatGPT Chinchilla Classifier Gradients CLIP Codex cognitivemodel Collaborative Topic Regression Complete AI Pipeline Computational Graph Conditional GAN Conformer Content Based Attention Contrastive Predictive Coding Conv ConvBERT ConvNeXt Convolutional RNN coupling flows cross-layer parameter sharing Curriculum Learning CvT CycleGAN DALL-E 3 DALL-E DALL·E 2 data2vec DCGAN DeepFM DeepLearning DeepNet DeepPERF DeiT Denoising Autoencoder Dense Net Dense Skip Connections Dense Vector Indexes Dense Density estimation using real NVP Depth Efficiency of Neural Networks Depthwise Separable dGSLM Diffusion LM Dilated Sliding Window Attention Dirac Delta DistillBERT DLRM Dot Product Attention Dreamfusion Dynamic Eager Execution Dynamic Sparsity Effect Of Depth EfficientNet EigenCAM ELECTRA Elementwise Flows ELMO Elu Encoder Decoder Attention Ensemble Distillation Exploding Gradient FaceNet Factorized Embedding Parameters Faster RCNN FastText Feature Correlationa Fixed Factorization Attention Flamingo FLASH FLAVA FlowNet FTSwish Galactica GAN Z Space Gato GAU GELU Generalizing Adversarial Explanations with Grad-CAM Generative Models Generative RNN Generative Spoken Language Modeling Generative vs Discriminative Models Git Commands Global and Sliding Window Attention Global Average Pooling GloVE GLOW Google NMT GPT GPT3 Grad-CAM Gradient Accumulation Gradient Clipping GRU Hallucination Text Generation Heaviside HiFI-GAN Denoising HiFI-GAN Synthesis Higher Layer Capsule Highway Convolutions HNSW Hopfield networks HyTAS i-Code ill conditioning Imagen Improved variational inference with inverse autoregressive flows Inception Influence of image classification accuracy on saliency map estimation Instant NeRF Interpreting Attention inverse autoregressive flows Isotropic Architectures IVFADC Joint Factor Analysis Jukebox Klue ML Engineer LaMDA Large Kernel in Attention Large Kernel in Convolution LASER Layers Le Net Learning Rate Scheduling Linear Classifier Probes Linear Flows Lisht Listen Attend Spell LLM Guide Location Aware Attention Location Base Attention Long Short Term Memory (LSTM) Longformer Lost in the Middle How Language Models Use Long Contexts Machine Learning Tool Landscape MADE - Masked autoencoder for distribution estimation Magic3D Masked Autoencoders Masked autoregressive flow for density estimation MCnet Minerva Mixed chunk attention ML Production Flow MLIM MLM MLOps Learning Mobile Net MobileOne Model Capacity Multi Head Attention Multi Scale Flows Multiplicative Attention Muse Nasnet Network Dissection Quantifying Interpretability of Deep Visual Representions Neural Network Architecture Cheat Sheet Neural Probabilistic Model Neural Text Degeneration NICE - non linear independant components estimation Noisy Relu Non Maxima Supression On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images OpenML x SURF OPT Padded Conv PaLM PEER Perceptron pGLSM Phase Transition Model Zoo PhD vs Startup vs Big Company Phenaki Phrase Representation Learning Pix2Seq PixelShuffle Point Cloud PointNet++ Pooling Position Encoding Position Wise Feed Forward PQ PRelu Primary Capsule Problems facing MLOps Properties Required by Network Layers for Normalizing Flows RAGAS - automated evaluation of RAG RandAugment Real Time Image Saliency for Black Box Classifiers Receptive field Recurrent Region Proposal RegNet Relative Multi Head Self Attention Relu RepLKNet Representational Capacity RepVGG Res Net D Res Net Research Engineer in Human Modeling for Automated Driving delft residual flows ResNeXt Restricted Boltzmann Machine RetinaNet RETRO Rmsprop RoBERTa Robust RegNet Routing by Agreement S2ST Saddle Points Salemi and Zamani - 2024 - Evaluating Retrieval Quality in Retrieval-Augmente Salience Map Scaled Dot Product Attention Scaling matrix for coupling layers Scene based text to image generation ScoreCAM SegNet Self Attention GAN Self Attention Self Supervised Vision Transformers Seq2Seq Sequential auto encoding of neural embeddings - SANE Shake-Drop Shake-Shake Shallow vs deep networks ShuffleNet Sigmoid SimCLR Simulations Of language Skip Connection SLAK Sliding Window Attention Soft Attention Softmax Softplus Soundify Sparse Encoder Indexes Sparse Evolutionary Training Sparse Transformer Spatial Transformer Speaker Verification Speech Emotion Recognition Speech Recognition Speech Resynthesis Spiking Networks SRN Stable Difusion Stack GAN Stacking RNN StarGAN v2 StarGAN Static Graph Execution Strided Attention Strided Style GAN Swin Transformer Swish Tacotron Tanh Teacher Forcing Temporal Conv TemporalLearning Textless Speech Emotion Conversion The elephant in the interpretability room Thesis Flow TinyBERT Token Embedding Tower Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms Transformer-XL Transformer Transposed Conv Tug of war between RAG and LLM prior Types of Normalizing flows ULMFit Un-LSTM Unet Upweighting usermodel VAE Vanishing Gradient Vapnik chervonenkis dimension Vgg VGGish VICReg ViLT Vision Transformer VisualGPT VL-BEIT Voronoi Cell wave2vec WaveGlow WebGPT Weight space learning What is being Transferred in transfer learning Whisper Wide Deep Recommender Window Based Regression WOMBO Dream Word2Vec X Vectors Xception XLM-R XLNet YOLO Z-Space Entanglement Zeiler Fergus
Link to original__Index_of__NLP
_Index_of_NLP Bag of n-grams Bag of words Negative Sampling Skip Gram textless-lib Word Vectors
Link to original__Index_of__Probabilistic Networks
_Index_of_Probabilistic Networks Probabilistic Circuit Units Probabilistic circuits
Link to original__Index_of__RL
_Index_of_RL Greedy Policy Trajectory
Link to original__Index_of__Training
__Index_of__Adversarial Learning
_Index_of_Adversarial Learning Adversarial Learning Entropy minimization by adverarial learning Gradient Ascent Mode Collapse Super Resolution
Link to original__Index_of__Augmentation
_Index_of_Augmentation A survey on Image Data Augmentation for Deep Learning Adding noise Adversarial Spatial Dropout for Occlusion Alleviating Class Imbalance with Data Augmentation Attentive CutMix AttributeMix Augmentation-wise Weight Sharing strategy Augmented Random Search AugMix Auto Augment AutoAugment Co-Mixup Color Space Transformations CowMask Cropping Cut and Delete Cut and Mix Cut, Paste and Learn CutMix Cutout Data aug for spoken language Data Augmentation via Latent Space Interpolation for Image Classification Data Augmentation with Curriculum Learning Deep Generative Models Fast AutoAugment FeatMatch Feature Augmentation Feature Space Augmentation Flipping Fmix GAN‐based Data Augmentation Gaussian Distortion Geometric Transformations GridMask Hide and Seek Image Erasing Image Manipulation Image Mix Image Mixing and Deletion Intra-Class Part Swapping KeepAugment Kernel Filters Manifold MixUp ManifoldMix Meta Learning Data Augmentations Mixed Example Moment Exchange Neural Augmentation Noise Injection On the Importance of Visual Context for Data Augmentation in Scene Understanding Population Based Augmentation Puzzle Mix Random Distortion Random Erasing ReMix ResizeMix RICAP SaliencyMix Sample Pairing Shear Skew Tilt Smart Augmentation SmoothMix SMOTE SnapMix SpecAugment Test-time Augmentation Visual Context Augmentation
Link to original__Index_of__Causal Inference
_Index_of_Causal Inference Causal Systems The Unified Causal AI Pipeline
Link to original__Index_of__Federated Learning
_Index_of_Federated Learning Advantages of Federated Learning Federated Learning Federated Updates
Link to original__Index_of__Knowledge Distillation
_Index_of_Knowledge Distillation Adversarial Distillation Applications of Knowledge Distillation Attention Based Distillation Cross Modal Distillation Data Free Distillation Distillation Algorithms Distillation Schemes Distilling the Knowledge in a Neural Network Feature Based Knowledge Graph Based Distillation Knowledge Distillation Survey 2021 Knowledge Distillation Low-rank factorization Multi Teacher Distillation Offline Distillation Quantized Distillation Response Based Knowledge Self Distillation Teacher Student Architecture Transferred compact convolutional filters
Link to original__Index_of__Loss function
_Index_of_Loss function 0-1 Loss Absolute Error Adversarial Loss Akaike Information Criterion Attention Alignment AUC-Borji AUC-Judd Bayesian Information Criterion BCE with Logits Bhattacharya Distance Binary Cross Entropy BLEU BYOL Loss BYOL Chebyshev Distance Chi Squared Distance Confusion Matrix Contrastive Loss Cosine Distance Cosine Learning Rate Decay Cosine Similarity Cross Entropy Cross Validation CTC Cycle Consistency Loss Dice Score Distance Measures Distillation Loss Earth Mover’s Distance (EMD) ELBO loss Emperical Risk Euclidean Distance Focal Loss Frobenius norm GE2E Hamming Distance Hausdorff Distance Haversine Distance Hinge Loss Huber Identity Loss inter-sentence coherence loss Intra cluster variance ITM Loss Jaccard Distance Jensen Shannon Divergence Consistency Loss KL Divergence Least squares loss Log likelihood criterion Log Likelihood Loss LogCosh Loss for binary classification Loss for multiclass classification Loss for univariate regression MAE Mallows Cp Statistic Manhattan Distance MAPE Margin Ranking Max Margin Loss Maximum likelihood criterion Maximum Likelihood Maxout Minkowski Distance MSE MSLE Negative Log Likelihood Out-of-bag Evaluation (OOB evaluation) PatchGAN Pearson Correlation Perplexity Poisson Loss Precision Recall Curve Precision Quadratic Loss Quantile loss RAHP Recall Recipe for constructing loss functions Reconstruction loss ROC Curve SDR Sensitivity Shuffled-AUC Sørensen-Dice Index Sparse Dictionary Learning Loss Specificity Squared Error Squared Hinge SSR Triplet Loss
Link to original__Index_of__Markov
_Index_of_Markov Markov Chain Markov for Continuous Distributions Markov Property Markov Random Field Markov Transition Kernel MCMC Sampling
Link to original__Index_of__Multitask learning
_Index_of_Multitask learning Attribute Selection Eavesdropping Hard Parameter Sharing Multi Task Learning Representation Bias Soft Parameter Sharing
Link to original__Index_of__Normalization
_Index_of_Normalization AdaIn Adam Batch Normalization DeepNorm Dropout Effects of Regularization Fine Tuning Based Pruning Freedom Global Gradient Magnitude Based Pruning Global Magnitude Based Pruning He Initialization Instance Normalization Label Smoothing Layer Normalization Layerwise Gradient Magnitude Based Pruning Layerwise Magnitude Based Pruning Leaky Relu Learning Rate Range Test LeCun Init Lp Regularization Modality Dropout No bias decay Normalization Optimizers Orthogonal Initialization Pruning Random Pruning Regularization Term Regularization Scheduling Scoring Pruning Approaches SELU Structure Based Pruning treecoverSegmentation Tuning Model Flexibility VariationalRecurrent Dropout Weight Decay Vs L2 Regularization Xavier Initialization
Link to original__Index_of__Optimization
_Index_of_Optimization AdamW Amsgrad Cyclic Learning Rate Double Descent MVGrasp NADAM One cycle policy Shrinkage Structural Risk Minimization Weighted Alternating Least Squares
Link to original_Index_of_Training Affine Function Autoregressive Broadcasting Calibration Layer Candidate Sampling CenterNet Chain of Thought Co-training Composing shallow neural networks to get deep networks Conditional Independence Curse Of Dimensionality Decision Boundaries Dictionary Learning Dimensionality Reduction Direct entropy minimization Discrete → Continuous Discrete Cosine Transform Distillation Token Downsampling Early Stopping tricks Einsum Embedding Encodings Factors for MC estimate Feature Learning Features Feedback Loop Few Shot Order Sensitivity Fitting FP16 training Functional correlates Generalization Curve Goodhart’s Law Gradient Boosting Gradient Checkpointing Gradient Descent Gradient Direction Gram matrix Hallucination handwritingRecognition Hashing heteroscedastic nonlinear regression IID Image Data Inference Path Information Gain Kernel Support Vector Machines (KSVMs) Label Encoding Lack of information Large Batch Training LDA Learning Rate Decay tricks Learning Rate Warmup Linear Learning Rate Scaling Linear scale Logits Masked Language Modeling Matrix notation for NNs Methods for Feature Learning Mixup Monk Multi Variate AR MultiReader technique NaN Trap Neural Dynamics Non Relational Inductive Bias Nonstationarity One hot PCA Post-processing Your Model’s Output Prediction assumption Quantile Bucketing Quantile Regression Rank (Tensor) Regularization Rate Ridge Regression Robust regression Rotational Invariance Sentiment Neuron Sketched Update Sketching SOMs Sparsity Staged Training Structured Update Tensor Processing Unit TIme Series TPU Node TPU Pod Tractability Training-serving Skew Transfer Learning Translational Invariance Trees Understanding deep learning still requires rethinking generalization Unsupervised Data Generation Variable Importances Vector Quantization Width Efficiency of Neural Networks Z NormalizationLink to original__Index_of__Semi Supervised
_Index_of_Semi Supervised Cross Modal-based Methods Downstream Task Ego-motion Feature Map Visualization Free Semantic Label-based Method Human Action Recognition Image Classification Image Generation with Colorization Image Generation with Inpainting Image Generation with Super Resolution Image Generation Kernel Visualization Learning from RGB-Flow Correspondence Learning from Video Colorization Learning from Video Prediction Learning from Visual-Audio Correspondence Learning with Context Similarity Learning with Labels Generated by Game Engines Learning with Labels Generated by Hard-code Programs Learning with Spatial Context Structure Nearest Neighbor Retrieval Object Detection Pretext Task Pretext Tasks Pseudo Label Self Supervised Survey Self-supervised Learning Semantic Segmentation Semi Supervised Semi-Supervised Learning Formulation Smoothness Spatial Context Structure Spatiotemporal Convolutional Neural Network Supervised Learning Formulation Temporal Context Structure Temporal order recognition Temporal order verification Video Generation Weakly Supervised Learning Formulation Weakly-supervised Learning
Link to original_Index_of_Machine Learning Class Size Clustering croissant ICA Issues LeCake Stochastic ensemble learningLink to original__Index_of__Unsupervised
_Index_of_Unsupervised Self Supervised Unsupervised Learning
Link to original__Index_of__Training
Link to originalLink to original__Index_of__Uncertainty
_Index_of_Uncertainty Aleatoric Automation Bias Entropy Epistemic Heteroscedatic Homoscedatic LIME Predictive Parity Predictive Uncertainty SHAP Types of uncertainty Uncertainity in classification Uncertainity in regression
Link to original__Index_of__ALFIE
Accessibility Checker for Blind Visitors of Websites ALFIE brainstorm.canvas ALFIE architecture charts deliverable report Drownisness detection GA 1
Link to original__Index_of__Art
Link to original__Index_of__Composition
_Index_of_Composition How to take your visual storytelling to the next level
Link to original__Index_of__Conferences
Cost conference ‘24 NRIN on tour Open Science @ TUe OpenML <> scikit-learn hackathon paris ‘24 probabl hackathon TAILOR conference lisbon ‘24 TDCC-NES FAIR
Link to original__Index_of__History
Link to original__Index_of__Indian
_Index_of_Indian How the Sciences Faded From India
Link to original__Index_of__Jobs
Old applicationsLink to original__Index_of__Applications
_Index_of_Applications ABN Amro AI Dev ABN amro ml Application for PhD - AI for Parkinsons (Subhaditya Mukherjee) Bunq Cold email templates DevOn AI dev Eneco Data Scientist Eraneous Interview Tips Kickstart AI Latitude Junior ML Engineer Leap Data Scientist Media Distillery MediaMonks MLCompany NLAIC Companies Odido OpenML Software Engineer Orbisk Poki Data Scientist PWC Data Analyst Junior Rabobank RadboudUMC Schipol Data Scientist VattenFall Data Scientist Wageningen Uni AI
Link to original__Index_of__Language
2 byte character set 2 X 2 Study 8 bit character set A matter of ambiguity? Using eye movements to examine collective vs distributive interpretations of plural sets Action Transitive verb Adjective Adverb Agglutinating words Allomorph ANOVA Application dependence Approximately Compositional Semantic Parsing ASCII Attentions and salience Berkeley et al Binary pattern Bottom Up Parsing Bound morpheme Cardinality Principle Case Grammar CBOW Challenges of Words-and-rules Character-set dependence Circumfix Collective Interpretation Collectivity, Distributivity, and the Interpretation of Plural Numerical Expressions in Child and Adult Language Conceptual Parsing conditioning Connectionism Connectionist Networks Connectives Content Morpheme Content words Context Free Grammar Corpus dependence Crash Blossom Cross-situational learning Cumulative Interpretation Deductive Approaches Derivational Morphology Determiners Distributive Interpretation (2) Distributive Interpretation Distributive units DiTransitive verb Document Triage Elements of sets Elman 1990 Elman 1991 Elman 1992 Elman 1993 Emergentism Entities involving in actions Evidence For Distributivity Effects in Comprehension Extra-position Final Paper Language Modeling First order generalization Fixed Factors Forward Backward Matching Free morpheme Function words Functional Morpheme gensim Hybrid Word Segmentation Inductive Learning Infix Inflectional Morphology Inflectional words Isolating words Language dependence Language Identification Latent Dirchlet Allocation Lemmatization Lexical Ambiguity Lexical Disambiguation Lexical Word Segmentation Lexically Collective Lexically Distributive Lexicon Linguistic details Localist units Maximum Matching Algorithm Memory-based learning Milin et al Minimal Semantic Commitment Mirman et al Misyak et al 2010 Mixed Effect Models Morpheme Generation Morpheme Segmentation Morpheme Morphology Affix Morphology Stem Morphology Morphotactic Multiple constraint-based theories Names of individuals Nativists Non-adjacent dependencies Numerically Quantified Expressions Object-relative clauses Ostension Ostensive Information Overhypotheses Parts of action Parts of entities past tense Phonetics Phonology Picky Puppet Method Polysynthetic words Pragmatics Predicate Prefix Prepositions Propose-but-verify Psycholinguistics Punctuation Quantifier spreading children misled by ostensive cues Quantifiers Random Factors Relevance Account Relevance Theory Rescorla-Wagner Algorithm Rescorla-Wagner Blocking Saffran, Aslin and Newport Salient Object Strategy Second order generalization Semantic Analysis Semantic Grammar Semantic Markers Semantics influences form Sentence level processing Sentence Segmentation Shared Character Set Shortcuts to Quantifier Interpretation in Children and Adults Single unit recording Statistical Word Segmentation Subject relative Subject-verb agreement Suffix Superposition Catastrophe Suppletion Symbolic learning model Symbolic models Syntactic Ambiguity Syntactic Analysis Syntactic Bootstrapping Syntax First models Taking on semantic commitmen.textClipping Taking on semantic commitments, II collective versus distributive readings Text Normalization Text Preprocessing Text Segmentation The Differentiation Condition The Self Organization of Explicit Attitudes Tokenizer Top Down Parsing Tracking the Continuity of Language Comprehension Computer Mouse Trajectories Suggest Parallel Syntactic Processing Transitional probabilities Transitive verb Types of Words Unicode 50 Unique Character Set Universal Quantifiers Unrestricted Race Model Verb Visual Implicit Learning Wh-dependencies Wickelphones Word Blending Word Clipping Word Compounding Word Segmentation Word Structure Words-and-Rules Zero Label Language Learning
Link to original__Index_of__Math
Bayes Prediction Bayes Rule Bayesian Model Estimation Bayesian Neural Network Bayesian Posterior Bayesian Predictive Posterior Bayesian Prior Bayesian Benford’s Law Bias Variance Dilemma Binary Binning Bucketing Central Limit Theorem Centroid Continous → Discrete Correlation Covariance Detailed Balance Frequentist Law of large numbers Left psuedo inverse LinearRegression Log-odds Logarithm Population Correlation Posterior Mean estimate Probability Sample Correlation Square Integrable Standard Deviation Universal Approximation Theorem Volterra expansionLink to original__Index_of__Algebra
_Index_of_Algebra Banach fixed point theorem bijective function Change of variable theorem Jacobian Matrix surjection
Link to original__Index_of__Medical
Acute Afib Angina Appendectomy Benign Biopsy Blood Culture Blood Lancet Blood Swab C-section Chronic Coronary Bypass Defibrillator Dialyser Dialysis DICOM Edema EEG Baseline Correction EEG Cluster Testing EEG Filtering EEG Statistical Analysis Embolism Endoscope ERP FHIR Foley Forceps Fracture HL7 Hypertension Hypodermic Needle Hypotension Hysterectomy Intravenous Intubation Lead Test Lumbar Puncture or Spinal Tap Malignant Mastectomy Myocardial Infarction Nebulizer Occult Blood Screen Ophthalmoscope Otoscope or Auriscope Protein Modeling Pulse Oximeter Reflex Hammer Remission Sepsis Speculum Spirometer Thrombosis Ultrasound Uplift ModelingLink to original__Index_of__Brain
_Index_of_Brain Action Potential Adrenal Glands Adrenaline Afferent Allele Alpha Waves Alzheimer’s Disease Amino Acid Amygdala Amyloid Plaque Amyloid-beta (Aβ) Protein Amyotrophic Lateral Sclerosis (ALS) Angiography Aphasia Apoptosis Astrocyte Autonomic Axon Terminal Axon Basal Ganglia Basilar Artery Belmont Principles Belmont Report Beneficence Beta Waves Biological Neuron Biomarkers Blood-brain Barrier BOLD Brain Areas Brain Cortex Brain Organoid Brain Oscillations Brain-derived Neurotrophic Factor (BDNF) Brainstem BrainWave Coherence BrainWave CrossFrequency Coupling BrainWave Synchronization Brocas Area Central Nervous System Central Sulcus Cerebellar Artery Cerebellum Cerebral Palsy Cerebrospinal Fluid (CSF) Cerebrum Chimera Chronic Encephalopathy Syndrome (CES) Chronic Traumatic Encephalopathy (CTE) Cochlea Concussion Cone Corpus callosum Cortical Homunculus Cortisol CRISPR (clustered Regularly-interspaced Short Palindromic repeats) Deep Brain Stimulation Default mode network Delta Waves Dendrites Digital Phenotyping Dopamine Down Syndrome EEG Cap EEG Efferent Electroconvulsive Therapy (ECT) Ependymal Cell Epigenetics Epilepsy Eugenics fMRI Frontal lobe Frontal Operculum Functional Connectivity Gaming addiction Gamma Waves Gamma-aminobutyric Acid (GABA) Gene Expression Glia Glioblastoma Glioma Glucose Glymphatic System Granger Causallity Gyrus Huntington’s Disease Hypothalamus Implicit Bias In Silico In Vitro In Vivo Induced Pluripotent Stem Cell (iPSC) Inhibitory Control Network Insula Interneuron Ion Channel Ketamine Lesion Limbic system Long Term Potentiation (LTP) Magical maybe Mesolimbic Pathway Microbiota Microglia MRI Multiple Sclerosis Myelin Neural Chimera Neural Induction Neuroaesthetics Neurogenesis Neuroplasticity Nootropics Nucleotide Sequence Nucleotide Nucleus Accumbens Occipital lobe Ogliodendrocytes Optogenetics Organoid Oxytocin Parasympathetic Parietal lobe Parkinson’s Disease Peripheral Nervous System Pharmacotherapy Phenotype Pineal gland Pituitary gland Pluripotency Positron Emission Tomography (PET) Postsynaptic Cell Presynaptic Cell Prion Protein Folding Psychosis Pyramidal cell Rapid Eye Movement (REM) Sleep Recessive Reuptake Rod Satellite Cell Schwann Cell Serotonin Somatic Somatosensory Cortex Sono-stimulation Sonogenetics Spectrogram Stem Cells Striatum Stroke Subgenual Cortex Substantia Nigra Subthalamic Nucleus Sulcus Sympathetic Synaptic Pruning Synaptic Transmission Tau Protein Telomere Temporal lobe Thalamus Theta Waves Tourette’s Syndrome Transcranial Electrical Stimulation (tDCS and tACS) Transcranial Magnetic Stimulation (TMS) Two-photon Microscopy Undue Inducement Vagus Nerve Vertebral Arteries Vestibular System Visual Cortex Wernicke AreaLink to original__Index_of__Cognitive Modeling
_Index_of_Cognitive Modeling ACT-R Chunk ACT-R Active tracking CogMod Final Paper Cognition Hazard Rates Cognitive Engagement Cognitive fMTP Cognitive Foreperiod Cognitive Multitasking Cognitive Preparation Connectome Declarative Memory Blending Dikes and Rivers EEG Artifacts Electrode nomenclature Implicitly learning when to be ready - From instances to categories Interpretability vs Neuroscience memory trace Mental Fatigue Modeling motivation using goal competition in mental fatigue studies Motor Memories On the Distinction Between Perceived Duration and Event Timing - Towards a Unified Model of Time Perception Revisiting variable foreperiod effects evaluating the repetition priming account Scaled benefits Sequential effects within a short foreperiod context Evidence for the conditioning account of temporal preparation Sugar Factory Task The Reward Experiment The warning stimulus as retrieval cue The role of associative memory in temporal preparation Threaded Cognition Traces of times past Representations of temporal intervals in memory You can play 20 questions with nature and win
Link to original__Index_of__OpenML
AutoML Benchmark Benchmark Data Repositories for Better Benchmarking Brainstorm openml_pytorch CheckList Data storage for different AI dataset services openml feedback Updates since last research jam
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Amdahl’s Law Block Sparse Kernel Branch Prediction Cache Coherence Concurrency Flynn’s Taxonomy Instruction Bandwidth Instruction Latency Instruction level programming Instruction Pipelining Instruction Throughput Load balancing Loop Tiling Memory Coupling Memory to Memory Architecture MIMD Minimizing Communication MISD NUMA Operator Fusion Out of Order Execution Parallel Granularity Parallel Processing Parallelization Pipes Register Renaming Register to Register Architecture Scalar Register Scatter and Gather SIMD SISD SMP Speculative Execution Strip Mining SuperScalar TIghtly coupled Time space duality UMA Vector Assembly level Vector Chaining Vector Functional Units Vector Load Store Units Vector Processor Vector Register Vectorization Von Neumann Architecture
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Acceleration Capacitance Centripetal Force Change in Gravitational Potential Energy Charge Conservation Of Momentum Displacement Electrical Energy Energy Transferred in a Component Equal And Opposite Force Pairs Equations of motion Equivalent Current Dipole Force Friction Gas Law Gravity Impulse Inertia Inverse Square Law Kinetic Energy Kinetic Friction Momentum Newtons Laws Ohms Law Power Pressure = ForceArea Resistance Static Friction Time Transformer Physics Velocity Weight
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Action Component Active Compliant Robot Actuator Affordance Detection Task Specific Anthropomorphic Articulated Manipulator Articulation Assembly Robot Average Number of Stored Instances per Category Bag of Words robotics Base Link Burn-in Carousel Centrifugal Force Circular Motion Type Clamp Clamping Compliant Robot Contact Sensor Continuous Path Cyclo Drive Cylindrical Topology Degrees of Freedom Direct-drive Drop Delivery Dual-memory Approach Enabling Device End-effector Endpoint Ensemble of Shape Functions Eye-to-hand System Familar Object Grasping Object Viiew recog Fine-grained Object Recognition Forgetting Forward Kinematic Solution Forward Kinematics Gantry Robot GGCNN Global Classification Accuracy Grasp Point Detection Gravity Loading GRConvNet Gripper Hand Guiding Harmonic Drive Harness Heightmaps Kinesthetic Humanoid Vision Engine Inductive Sensor Instance-based Learning Instruction Cycle Inverse Kinematics Inverse Reinforcement Learning Iterative Closest Point Joint Interpolated Motion Joint Motion Type Joint Space Joint Velocity Kalman Filter Kinesthetic Teaching Ladle Gripper Learning Component Learning to Detect Grasp Affordance Linear Interpolated Motion Load Cycle Time Local Descriptor Local Reference Frame Local-LDA Object Representation Magnetic Detectors Manipulator Material Processing Robot Mirror Shift Function Mode Switch MoreMVCNN MVCNN Neural Radiance Field Occlusion Opportunistic Learning Optical Encoder Optical Proximity Sensors OrthographicNet Palletizing Parallel Shift Function Particle Filter Pendant Teaching Perception Component Perceptual Messages Phases of Simulated User Experiments Pick and Place Cycle Pinch Points Point-to-Point Polynomial Trajectories Power and Force Limiting (PFL) Presence-sensing Safeguarding Device Prismatic Joint Programmable Logical Controller (PLC) Proximity Sensor Pulse Coordinates Quadratic Potential Field Quasi-static Clamping RANSAC Reasoning Component Revolute Joint Risk Mitigation Robot Range Limit Monitoring Robotic Joints Roll Rotary Joint Rotary Vector Drive (RV) Safeguard Safety Integrity Level Safety Logic Circuit Semantic Data Sense-Plan-Act Model Sensory Feedback Servo Control Servo Motor Servo Pack Servo-controlled Robot Servo-system Shock Detection Function Singularity Softlimit Setting Function Spline Motion Type Spline Task (endeffector) Space Vs Joint Space Teach Lock The Repulsive Potential Through-beam Time Measuring Function Trajectory Planning Transducer Trapezoidal Trajectory TSDF Unet Grasping Vacuum Cup Hand Viewpoint Feature Histogram Visual Servo System Volumetric Grasping Network Work Envelope Wrist Yaw
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_Index_of_Docker Docker Cheatsheet
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_Index_of_Fastai Fastai Blocks Fastai Deployment Fastai Interpretation Fastai Tricks Pytorch Tricks
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_Index_of_Regex Regex cheatsheet
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_Index_of_Tensorflow Eager Execution Feature Spec
Link to originalOptimizing Code Parallel Runner Pragmatic engineer blog notes __Index_of__SQL Tightly coupled code TPU SliceLink to original__Index_of__Testing
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Algebra Cognitive Tutor Andes AutoTutor Coarse-grained assessment Collaborative Recommender Content Based Recommender Declarative memory DT Tutor Effects of Contextual Cues on Inferring and Remembering Meanings of New Word Extensions to SlimStampen Eye Tracking Filter Bubble Problem Final Paper User Models Fine Grained assesment Game Based Learning Gamification Gaze position GOMS Grey sheep problem Group Modeling Approach Help Abuse Help Refusal Ideas for Fact Learning Individual Modeling IRT Knowledge Component Latent Semantic Analysis Learning Event Learning L2 German Vocabulary Through Reading Macroadaptation Mastery learning Modeling Driver Behavior with Cognitive Architecture Modeling Transfer plan recognition problem Predicting Student learning Curve Pupil Dilation Ramp up problem Rational inference Recommender System Satisficing Heuristic Second Language Vocabulary Learning , The role of context versus translation Serious Games Sherlock SlimStampen SQL-Tutor Steve Stroop Task The Behavior of Tutoring Systems The Effect of Three Consecutive Context Sentences on EFL Vocabulary-Learning TREEQN Tutor Wisdom of the Crowd
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1D piecewise linear interpolation Asymptotic Decider Average Filter Back To Front Raycasting Barycentric Interpolation Bilinear Interpolation Change Blindness Characteristics of Visual Variables Classification Ray Casting Clutter In Visualisation Color Compositing Color Spaces ColorMap Complex Geometry Contour Conv Based Noise Reduction Countouring with Transparency Critical Points Cuboids Curl And Vorticity Cylinders Data Structures Diffusion Tensor Divergence Divide Oriented Early Ray Termination Eigenvector Ellipsoids Entourage Plot Euler Integration Eulerian Grid Filtering Finite Differences First order integration Fractional Anisotropy Front to Back Raycasting Gaussian Filter Gestalt Laws Glyphs Grids H3 View Height Plots Helmholtz Theorem Hierarchial Refinement High pass filter HyperStreamlines ICA Noise Removal Inattentional Blindness Inceptionism Indirect Volume Visualization Information Visualization Integral Lines Interpolation Intuitive Color spaces Isoline Isosurface Lagrangian Coherent Structure Lagrangian Grid Laplacian Grid Smoothing Line Integral Convolution Mapping to Geometry Marching Cubes Marching Squares Marching Tetrahedra Mean Diffusivity Median Filter Mesh refinement Mesh Smoothing Midpoint Decider Midpoint Method Noise Suppression Notch filter Oblique Slicing Opacity Correction Orthogonal Slicing Parallel Coordinate Plots Particle Visualization Pathlines Perception Perceptually Uniform Phong Lighting Post Classification Postattentive Amnesia Pre Classification Pre Integrated Volume Rendering Preattentive Processing Radial Plot Raycasting Region Growing Runge Kutta Sampling Ray Casting Scalar Color Coding Shading Shepard Interpolation Slice Based Volume Rendering Stream Ribbons Stream Surfaces Streamline Stopping Criterion Streamlines SuperQuadrics Time Dependant Vector Field Transfer Function Treemap Visual Associative Visual Encoding Visual Length Visual Ordered Visual Quantitative Visual Selective Visualization Of Layers Volume Rendering Equation Volume Visualization Volumetric Illumination Voxel Projection
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