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Articles
Book Notes
_Index_of_BookNotes
Summary - Notes on a Nervous Planet by Matt Haig
Deep Learning
_Index_of_DL
AI and Doom
Artists vs AI
Experiments with Temperature
Parsing and Querying Tensorboard logs - A Mini Tutorial
Tree of Thoughts Explained Simply (LLMs Dehyped - 1)
Drafts
_Index_of_Drafts
What I learnt from an AI Masters Part 2
Writing your own Markdown to LaTEX parser
FAQ
_Index_of_FAQ
Commission FAQ
Mental Health
_Index_of_Mental-Health
ADHD + Autism - Challenges and hopeful workarounds
What I Learnt About Myself the Past Two Years
Others
_Index_of_Others
A letter to my junior school art teacher
Ai_for_startups
An understanding of will - Part 1
Duolingo is a platform for language learning
Easier Deep Learning Research for Beginners
GRAD
Ideas
Learnings from this time back home
Myself
Notes - Machine Learning System Design
Professional Reports and Papers with LaTEX
Sigh, Gone - My Thoughts on the Book
Sklearn and OpenML hackathon
What I learnt from an AI Masters Part 1
Productivity
_Index_of_Productivity
CheckEmptySections
Extensions that make writing research papers easier
Extracting Highlights from a PDF easily
Obisidian Daily Notes
Obsidian Plugins
Pomodoro - A means but not the end
Taking notes from websites to markdown - A workflow
Scalar Academy Articles
_Index_of_Scalar
Autoencoders with Convolutions
Building a GAN from scratch
Building the Word2Vec Model in Gensim
CycleGAN
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
Intro to Conditional GANS
Masked Language Modeling in BERT
Reconstructing the MNIST images using an autoencoder
Siamese Network
StackGAN
Time series forecasting using LSTM
Transfer Learning and Fine-tuning
_Index_of_Articles
KB
AI
Book Notes
Understanding Deep Learning
_Index_of_Understanding-Deep-Learning
Chapter 8 - Measuring performance
Chapter 1 - Introduction
Chapter 4 - Deep Neural Networks
Chapter 5 - Loss functions
Chapter 6 - Fitting models
Chapter 7 - Gradients and Initialization
Chapter 9 - Regularization
Chapter 10 - CNNs
Chapter 11 - Residual Networks
Chapter 12 - Graph Networks
Chapter 12 - Transformers
Chapter 14 - Unsupervised Learning
Chapter 16 - Normalizing Flows
Chapter 17 - VAE
Chapter 18 - Diffusion
_Index_of_Book-Notes
Datasets
_Index_of_Datasets
1D-ALVINN
AudioSet
AudioSet classification
Benchmark LLM
Billion Word
BooksCorpus
BUCC
CIFAR
Cityscapes
COCO
CommonCrawl
CUB-200-2011
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
ImageNet
IMDB
iNaturalist
ISIC 2018
Kinetics
KITTI
Kvasir Dataset
Labeled Faces in the Wild
LibriSpeech
MILANNOTATIONS
MIT300
MIT1003
MLDoc
MMLU
MNIST
Moment in Time
MSCOCO
MUSAN
NIST 2008 Speaker Recognition Evaluation dataset
NIST SRE 2016 Cantonese
NLVR2
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
STL-10
SUNCG
Swichboard
SYNTHIA
UCF101
VGGFace2
Visual Commonsense Reasoning
Visual Genome
VQAv2
Wall Street Journal task
WMT14
XLSR
YFCC100M
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
Label bias
Mediatic Behavior
Moral decision making frameworks for artificial intelligence
Moral Machine project
MoralDM
Negative Set Bias
Norms as a basis for governing sociotechnical systems
partially informed ethical judgement
PIUQ
Preferences and ethical principles in decision making
Research Intimacy
sacred values
Sampling Bias
Selection Bias
swap-dominance
trolley scenario
Unawareness
Unbiased Look at Dataset Bias
Utilitarian ethics
Virtue ethics
Machine Learning
Distributions
_Index_of_Distributions
Bernoulli Distribution
Beta Distribution
Binomial Distribution
Boltzmann Distribution
Categorical Distribution
CDF
Class Conditional Distribution
Dirichlet Distribution
Ergodic
Exponential Distribution
Invariant Distribution
Markov Initial Distribution
Multinomial
N Dim Normal Distribution
Normal Distribution
Nucleus Sampling
Point Distribution
Possion Distribution
Probability Density Function
Probability Mass Function
Proto Distributions
Proto PMF
Proxy Objective
Rejection Sampling
Sampler
Stratified Random Sampling
Uniform Distribution
Uniform Sampling
Explainability
_Index_of_Explainability
Accessibility
AdaDelta
Adaptive Whitening Saliency
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision A Survey
Auditability
backpropamine
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
Interpretability and Explainability A Machine Learning Zoo Mini-tour
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
SGD Momentum
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
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
Symmetries Node Link
Transductive Models
Types of Graphs
Weak Relation Bias
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
Attention NMT
AudioLM
AutoDistill
AutoEncoder
autoregressive flows
Backprop
Bahdanau Attention
BART
Basic GAN
Basic RNN Architectures
Basic Transformer
Basics of Federated Learning
Beam search
BEiT
BERT
Best Matching 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
ChatGPT
chatgptisnotallyouneed
Chinchilla
Classifier Gradients
CLIP
Codex
cognitivemodel
Collaborative Topic Regression
Complete AI Pipeline
Computational Graph
Conditional GAN
Conformer
Content Based Attention
Contrastive Predictive Coding
ConvBERT
Convnd
ConvNeXt
Convolutional RNN
coupling flows
cross-layer parameter sharing
Curriculum Learning
CvT
CycleGAN
DALL-E
DALL-E 2
DALL·E 2
data2vec
DCGAN
DeepFM
DeepNet
DeepPERF
DeiT
Denoising Autoencoder
Dense
Dense Net
Dense Skip Connections
Dense Vector Indexes
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
Gated Recurrent Unit (GRU)
Gato
GAU
GELU
Generalizing Adversarial Explanations with Grad-CAM
Generative RNN
Generative Spoken Language Modeling
Generative vs Discriminative Models
Generative_Models
Git Commands
Global and Sliding Window Attention
Global Average Pooling
GloVE
GLOW
Google NMT
GPT
GPT3
GradCAM
Gradient Accumulation
Gradient Clipping
Hallucination Text Generation
Heaviside
HiFI-GAN Synthesis
HiFI-GAN_Denoising
Higher Layer Capsule
Highway Convolutions
HNSW
Hopfield networks
HyTAS
i-Code
ill conditioning
Imagen
Improved variational inference with inverse autoregressive flows
Inception
Index
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
Mirman Et Al
Mixed chunk attention
ML Production Flow
MLIM
MLM
MLOps
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
Parametric Relu
PEER
Perceptron
pGLSM
Phase Transition Model Zoo
PhD vs Startup vs Big Company
Phenaki
Phrase Representation Learning
Pix2Seq
PixelShuffle
Point Cloud Data
PointNet++
Pooling
Position Encoding
Position Wise Feed Forward
PQ
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
Res Net D
Research Engineer in Human Modeling for Automated Driving delft
residual flows
ResNeXt
Restricted Boltzmann Machine
RetinaNet
RETRO
Rmsprop
RoBERTa
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
Seg Net
Self Attention
Self Attention GAN
Seq2Seq
Sequential auto encoding of neural embeddings - SANE
Shake-Drop
Shake-Shake
ShuffleNet
Sigmoid
SimCLR
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
StarGAN v2
Static Graph Execution
Strided
Strided Attention
Style GAN
Swin Transformer
Swish
Tacotron
Tanh
Teacher Forcing
Temporal Conv
Temporal Learning
Textless Speech Emotion Conversion
The elephant in the interpretability room
Thesis Flow
TinyBERT
Token Embedding
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Transformer
Transformer-XL
Transposed Conv
Tug of war between RAG and LLM prior
Types of Normalizing flows
ULMFit
Un-LSTM
Unet
usermodel
Vanishing Gradient
Vapnik chervonenkis dimension
Variational Autoencoder
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
Word2Vec
X Vectors
Xception
XLM-R
XLNet
YOLO
Z-Space Entanglement
Zeiler Fergus
NLP
_Index_of_NLP
Bag of n-grams
Bag of words
Training
Adversarial Learning
_Index_of_Adversarial Learning
Adversarial Learning
Entropy minimization by adverarial learning
Gradient Ascent
Mode Collapse
Super Resolution
Augmentation
_Index_of_Augmentation
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
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
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
Causal Inference
_Index_of_Causal Inference
Causal Systems
The Unified Causal AI Pipeline
Federated Learning
_Index_of_Federated Learning
Advantages of Federated Learning
Federated Learning
Federated Updates
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
Low-rank factorization
Multi Teacher Distillation
Offline Distillation
Quantized Distillation
Response Based Knowledge
Self Distillation
Teacher Student Architecture
Transferred compact convolutional filters
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 Logits
Bhattacharya Distance
Binary Cross Entropy
BLEU
BYOL
BYOL Loss
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
GE2E
Hamming Distance
Hausdorff Distance
Haversine Distance
Hinge
Huber/Smooth L1/Smooth MAE
Identity Loss
inter-sentence coherence loss
Intra Cluster Variance
ITM Loss
Jaccard Distance
Jensen Shannon Divergence Consistency Loss
KL Divergence
Least squares loss
Log Cosh
Log likelihood criterion
Log Likelihood Loss
MAE
Mallows Cp Statistic
Manhattan Distance
MAPE
Margin Ranking
Max Margin Loss
Minkowski Distance
MSE
MSLE
Negative Log Likelihood
PatchGAN
Perplexity
Poisson Loss
Precision
Precision Recall Curve
Quadratic Loss
Quantile loss
RAHP
Recall
Recipe for constructing loss functions
Reconstruction loss
ROC Curve
SDR
Sensitivity
Shuffled-AUC
Sørensen-Dice Index
Sparse Dict Learning Loss
Specificity
Squared Error
Squared Hinge
SSR
Triplet Loss
Multitask learning
_Index_of_Multitask learning
Atrribute Selection
Eavesdropping
Hard Parameter Sharing
Multi Task Learning
Representation Bias
Soft Parameter Sharing
Normalization
_Index_of_Normalization
AdaIn
Adam
Batch Normalization
DeepNorm
Dropout
Effects of Regularization
Fine Tuning Based Pruning
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
Optimization
Orthogonal Initialization
Pruning
Random Pruning
Regularization
Scheduling
Scoring Pruning Approaches
SELU
Structure Based Pruning
Term
Tree Cover Segmentation
Tuning Model Flexibility
Variational/Recurrent Dropout
Weight Decay Vs L2 Regularization
Xavier Initialization
Optimization
_Index_of_Optimization
AdamW
Amsgrad
Cyclic Learning Rate
Double Descent
MVGrasp
NADAM
One cycle policy
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
Image Generation with Colorization
Image Generation with Inpainting
Image Generation with Super Resolution
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 Learning Formulation
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
_Index_of_Training
Affine Function
Autoregressive
Broadcasting
Calibration Layer
Candidate Sampling
CenterNet
Chain of Thought
Co-training
Composing shallow neural networks to get deep
Conditional Independence
Curse of Dimensionality
Decision Boundaries
Dictionary Learning
Dimensionality Reduction
Direct entropy minimization
Discrete -> Continous Transforms
Discrete Cosine Transform
Distillation Token
Downsampling
Early Stopping
Einsum
Embedding
Encoding
Factors for MC Estimate
Feature Learning
Features
Feedback Loop
Few Shot Order Sensitivity
Fitting
FP16 training
Gradient Boosting
handwritingRecognition
IID
Kernel Support Vector Machines (KSVMs)
Large Batch Training
Linear Scale Encoding
Logits
Markov Transition Kernel
Methods for Feature Learning
Nonstationarity
One Hot Encoding
Robust regression
Sketched Update
Sketching
Structured Update
Tensor Processing Unit
Translational Invariance
Understanding deep learning still requires rethinking generalization
Unsupervised Data Generation
Vector Quantization
_Index_of_Machine Learning
Class Size
Clustering
croissant
ICA
Uncertainty
_Index_of_Uncertainty
Aleatoric
Automation Bias
Entropy
Epistemic
Heteroscedatic
Homoscedatic
LIME
Predictive Uncertainty
Reg Uncertainty
SHAP
Types of Uncertainty
_Index_of_AI
Conferences
_Index_of_Conferences
Cost conference
NRIN on tour
OpenML <> scikit-learn hackathon
Jobs
Applications
_Index_of_Applications
ABN Amro AI Dev
ABN Amro AI Dev
ABN amro ml
Application for PhD - AI for Parkinsons (Subhaditya Mukherjee)
Bunq
Cold email templates
DevOn AI dev
Eraneous
Interview Tips
Kickstart AI
Latitude Junior ML Engineer
Leap Data Scientist
Media Distillery
MediaMonks
MLCompany
Orbisk
Poki Data Scientist
PWC Data Analyst Junior
Rabobank
RadboudUMC
Schipol Data Scientist
VattenFall Data Scientist
Wageningen Uni AI
_Index_of_Jobs
Language
_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 Encoding
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
Distributive Interpretation (2)
Distributive units
DiTransitive verb
Document Triage
Elements of sets
Elman 1990
Elman 1990
Elman 1990
Elman 1990
Emergentism
Entities involving in actions
Evidence For Distributivity Effects in Comprehension
Extra-position
Final Paper LM
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
Morpheme Generation
Morpheme Segmentation
Morphology
Morphology Affix
Morphology Stem
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 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 5.0
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
Math
Algebra
_Index_of_Algebra
Banach fixed point theorem
bijective function
Change of variable theorem
Jacobian Matrix
surjection
_Index_of_Math
Bayes Prediction
Bayes Rule
Bayesian
Bayesian Model Estimation
Bayesian Neural Network
Bayesian Posterior
Bayesian Predictive Posterior
Bayesian Prior
Benford's Law
Bias Vs Variance
Binary
Binning
Bucketing
Central Limit Theorem
Centroid
Continous -> Discrete
Correlation
Covariance
Detailed Balance
Logarithm
Population Correlation
Probability
Sample Correlation
Square Integrable
Universal Approximation Theorem
Volterra
Medical
Brain
Cognitive Modeling
_Index_of_Cognitive Modeling
ACT-R
ACT-R Chunk
Active tracking
CogMod Final Paper
Cognitive Engagement
Cognitive fMTP
Cognitive Foreperiod
Cognitive Multitasking
Cognitive Preparation
Cogntition Hazard Rates
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
_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
Axon Terminal
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
EEG Cap
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)
Insula
Interneuron
Ion Channel
Ketamine
Lesion
Limbic system
Long Term Potentiation (LTP)
Mesolimbic Pathway
Microbiota
Microglia
MRI
Multiple Sclerosis
Myelin
Neural Chimera
Neural Induction
Neuroaesthetics
Neurogenesis
Neuroplasticity
Nootropics
Nucleotide
Nucleotide Sequence
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
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 Area
_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
Pulse Oximeter
Reflex Hammer
Remission
Sepsis
Speculum
Spirometer
Thrombosis
Ultrasound
OpenML
_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
Parallel computing
_Index_of_Parallel computing
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
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
Physics
_Index_of_Physics
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
Gravity
Impulse
Inertia
Inverse Square Law
Kinetic Friction
Momentum
Newtons Laws
Static Friction
Time
Transformer Physics
Velocity
Robotics
_Index_of_Robotics
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
Spline Motion Type
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
Software
Docker
_Index_of_Docker
Docker Cheatsheet
Fastai
_Index_of_Fastai
Fasai Tricks
Fastai Blocks
Fastai Deployment
Fastai Interpretation
Tensorflow
_Index_of_Tensorflow
Eager Execution
Feature Spec
_Index_of_Software
Optimizing Work
Pragmatic engineer blogs
Tightly coupled code
TPU Slice
User Models
_Index_of_User Models
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
The Behavior of Tutoring Systems
The Effect of Three Consecutive Context Sentences on EFL Vocabulary-Learning
Tutor
Visualization
_Index_of_Visualization
1D piecewise linear interpolation
Asymptotic Decider
Average Filter
Back To Front Raycasting
Barycentric Interpolation
Bilinear Interpolation
Challenge of Complex Geometry
Change Blindness
Characteristics of Visual Variables
Classification Ray Casting
Clutter In Visualisation
Color Compositing
Color Spaces
ColorMap
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
Heirarchial Refinement
Helmholtz Theorem
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
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, Node Link, Stacking
Visual Associative
Visual Encoding
Visual Length
Visual Ordered
Visual Quantitative
Visual Selective
Visualization Of Layers
Volume Rendering Equation
Volume Visualization
Volumetric Illumination
Voxel Projection
_Index_of_KB
bitter_lesson
cheatsheets
cogitivemodel
cogneuro
composition
fastai
flow
Focused Life
Freedom
Frequentist
Frobenius norm
Functional correlates
Fundamentals
Gas Law
gen_quotes
Generalization Curve
Goodhart's Law
Gradient Checkpointing
Gradient Descent
Gradient Direction
Gradio
Gram matrix
Greedy Policy
Hallucination
Hashing
heteroscedastic nonlinear regression
Hit list
Holdout Data
How the Sciences Faded From India
How to take your visual storytelling to the next level
Image Captioning
Image Data
In-group Bias
Individual Fairness
Inference Path
Information Gain
Inhibitory Control Network
Initialization
Inter-rater Agreement
Interpretive Labor
Issues
jobs
jobtemp
K Means
Kinetic Energy
Knowledge Distillation
Label Encoding
Lack of Information
Laplace Distribution
Law of Large Numbers
LDA
Learning Rate Decay
Learning Rate Warmup
LeCake
Left psuedo inverse
Linear Learning Rate Scaling
Linear Regression
Log-odds
Loss for binary classification
Loss for multiclass classification
Loss for univariate regression
Magical maybe
Markov Chain
Markov for Continuous Distributions
Markov Property
Markov Random Field
Masked Language Modeling
mastersthesis
Matrix notation for NNs
Maximum LIkelihood
Maximum likelihood criterion
Maxout
MCMC Sampling
medical
Micromarriage
MILAN
Mixup
MoCO
Modality
Monk
Multi Variate AR
Multiple Local Minima
MultiReader technique
NaN Trap
NCE
Negative Sampling
Neural Dynamics
NLAIC Companies
Non Relational Inductive Bias
Non-response Bias
Obsidian tutorial
Odido
Ohms Law
Open Science @ TUe
OpenML Software Engineer
Out-group Homogeneity Bias
Out-of-bag Evaluation (OOB evaluation)
Parallel
Parallel Runner
Participation Bias
PCA
Pearson Correlation
Poisson Process
Post-processing Your Model's Output
Posterior Mean Estimate
Power
Preattentive Processing
Prediction assumption
Predictive Parity
Pressure = ForceArea
probabl hackathon
Protein Modeling
Proto PDF
psychology
Pyramidal cell
Pytorch Tricks
Quantifying Uncertainty
Quantile Bucketing
Quantile Regression
quotes
Random Dump
Rank (Tensor)
Regex cheatsheet
Regularization Rate
regularize
Reinforcement Learning
Research Debt
Research Distillation
Resistance
Ridge Regression
robotics
Robust RegNet
Rotational Invariance
Scalar Articles
Self Organizing Maps
Self Supervised
Self Supervised Vision Transformers
Semi Supervised
Sentiment Neuron
SentimentAnalysis
Shallow vs deep networks
Shrinkage
Skip Gram
Small World graphs
Smoothness
Sparsity
Staged Training
Standard Deviation
Stationarity
Stoch Ensemble Learning
Stroop Task
Structural Risk Minimization
SVHN
T. B. Macaulay
TAILOR conference lisbon '24
textless-lib
The Programmers Brain
Time Series Prediction
To Look at
todo
Tower
TPU Node
TPU Pod
Tractability
Training-serving Skew
Trajectory
Transfer Learning
TREEQN
Trees
Uncertainty
Uncertainty Classification
Unsupervised Learning
Untitledp
Uplift Modeling
Upweighting
Useful Codes
Van Mises distribution
Variable Importances
visualization
VTAB
Weight
Weighted Alternating Least Squares
Width Efficiency of Neural Networks
Wisdom of the Crowd
WOMBO Dream
Word Vectors
Z Normalization
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