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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
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
Knowledge Base
0-1 Loss
1D piecewise linear interpolation
1D-ALVINN
1x1 conv
2 byte character set
2 X 2 Study
8 bit character set
2024-11-18
2024-12-18
2025-01-12
2025-02-05
A declarative modular framework for representing and applying ethical principles.
A low-cost ethics shaping approach for designing reinforcement learning agents
A matter of ambiguity? Using eye movements to examine collective vs. distributive interpretations of plural sets
A voting-based system for ethical decision making
ABN Amro AI Dev
ABN Amro AI Dev
ABN amro ml
Absolute Error
Acceleration
Accessibility
ACT-R
ACT-R Chunk
Action Component
Action Potential
Action Transitive verb
Activation Functions
Active Compliant Robot
Active tracking
Actuator
Acute
AdaDelta
Adagrad
AdaIn
Adam
AdamW
Adaptive Gradient Clipping
Adaptive Input Representation
Adaptive Whitening Saliency
Additive Attention
Additive coupling layer
ADE20K
Adjacency matrix
Adjective
Adrenal Glands
Adrenaline
Advantages of Federated Learning
ADVENT
Adverb
Adversarial Distillation
Adversarial Learning
Adversarial Loss
Adversarial Spatial Dropout for Occlusion
Afferent
Affine Function
Affordance Detection Task Specific
Afib
Agglutinating words
Akaike Information Criterion
ALBERT
Aleatoric
Alex Net
Algebra Cognitive Tutor
Allele
Alleviating Class Imbalance with Data Augmentation
Allomorph
Alpha Waves
Alphacode
Alzheimer’s Disease
Amdahl's Law
Amino Acid
Amsgrad
Amygdala
Amyloid Plaque
Amyloid-beta (Aβ) Protein
Amyotrophic Lateral Sclerosis (ALS)
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision A Survey
Andes
Angina
Angiography
ANOVA
Anthropomorphic
aphasia
Apoptosis
Appendectomy
Application dependence
Application for PhD - AI for Parkinsons (Subhaditya Mukherjee)
Applications of Knowledge Distillation
Approximately Compositional Semantic Parsing
Arbitrary Relation Bias
architecture
Area Minimization
Articulated Manipulator
Articulation
ASCII
Assembly Robot
Astrocyte
Asymptotic Decider
Atrous Convolution
Atrribute Selection
Attention
Attention Alignment
Attention Based Distillation
Attention NMT
Attentions and salience
Attentive CutMix
AttributeMix
AUC-Borji
AUC-Judd
AudioLM
AudioSet
AudioSet classification
Auditability
Augmentation-wise Weight Sharing strategy
Augmented Random Search
AugMix
Auto Augment
AutoAugment
AutoDistill
AutoEncoder
Automation Bias
AutoML Benchmark
Autonomic
Autoregressive
autoregressive flows
AutoTutor
Average Filter
Average Number of Stored Instances per Category
Axon
Axon Terminal
Back To Front Raycasting
Backprop
backpropamine
Bag of n-grams
Bag of words
Bag of Words Robotics
Bahdanau Attention
Banach fixed point theorem
BART
Barycentric Interpolation
Basal Ganglia
Base Link
Basic GAN
Basic RNN Architectures
Basic Transformer
Basics of Federated Learning
Basilar Artery
Batch Normalization
Batching for GNN
Bayes Prediction
Bayes Rule
Bayesian
Bayesian Information Criterion
Bayesian Model Estimation
Bayesian Neural Network
Bayesian Posterior
Bayesian Predictive Posterior
Bayesian Prior
Bayesian Rule List
BCE Logits
Beam search
BEiT
Belief-Desire-Intention
Belmont Principles
Belmont Report
Benchmark Data Repositories for Better Benchmarking
Benchmark LLM
Bend Minimization
Beneficence
Benford's Law
Benign
Berkeley et al
Bernoulli Distribution
BERT
Best Matching Unit
Beta Distribution
Beta Waves
Beware of Inmates Running the Asylum
Bhattacharya Distance
Bi Directional RNN
Bias nodes
Bias Vs Variance
Big Bird
Big-Bench
bijective function
Bilinear Interpolation
Billion Word
Binary
Binary Cross Entropy
Binary Pattern Encoding
BinaryBERT
Binning
Binomial Distribution
Biological Neuron
Biomarkers
Biopsy
bitter_lesson
BLEU
blind ethical judgement
Block Sparse Kernel
BlockDrop
BlockNeRF
Blood Culture
Blood Lancet
Blood Swab
Blood-brain Barrier
Blur Baseline
BOLD
Boltzmann Distribution
BooksCorpus
Bottom Up Parsing
Bound morpheme
brain
Brain Areas
Brain Cortex
Brain Organoid
Brain Oscillations
Brain-derived Neurotrophic Factor (BDNF)
Brainstem
Brainstorm openml_pytorch
BrainWave Coherence
BrainWave CrossFrequency Coupling
BrainWave Synchronization
Branch Prediction
Broadcasting
Brocas Area
Broden
Bruckhaus - 2024 - RAG Does Not Work for Enterprises
BUCC
Bucketing
Building Ethics into Artificial Intelligence
Bunq
Burn-in
BYOL
BYOL Loss
C-section
Cache Coherence
Calibration Layer
CAM
Candidate Sampling
Capacitance
Capsule Layer
Capsule Network
Capture bias
Cardinality Principle
Carousel
Case Grammar
Categorical Distribution
Causability
Causal 1D Conv
Causal Dilated Conv
Causal Language Model
Causal Systems
Causality
CBOW
CDF
CenterNet
Central Limit Theorem
Central Nervous System
Central Sulcus
Centrifugal Force
Centripetal Force
Centroid
Cerebellar Artery
Cerebellum
Cerebral Palsy
Cerebrospinal Fluid (CSF)
Cerebrum
Chain of Thought
Challenge of Complex Geometry
Challenges of Graphs
Challenges of Words-and-rules
Change Blindness
Change in Gravitational Potential Energy
Change of variable theorem
Channels
Character-set dependence
Characteristics of Visual Variables
Charge
ChatGPT
chatgptisnotallyouneed
cheatsheets
Chebyshev Distance
CheckList
Chi Squared Distance
Chimera
Chinchilla
Chronic
Chronic Encephalopathy Syndrome (CES)
Chronic Traumatic Encephalopathy (CTE)
CIFAR
Circular Motion Type
Circumfix
Cityscapes
Clamp
Clamping
Class Conditional Distribution
Class Size
Classification Ray Casting
Classifier Gradients
Classifying a specific image region using convolutional nets with an ROI mask as input
Clear Thinking
CLIP
Clustering
Clutter In Visualisation
Co adaptation
Co-Mixup
Co-training
Coarse-grained assessment
Cochlea
COCO
Codex
cogitivemodel
CogMod Final Paper
cogneuro
Cognitive Engagement
Cognitive fMTP
Cognitive Foreperiod
Cognitive Multitasking
Cognitive Preparation
cognitivemodel
Cogntition Hazard Rates
Cold email templates
Collaborative Recommender
Collaborative Topic Regression
Collective Ethical Decision Frameworks
Collective Interpretation
Collectivity, Distributivity, and the Interpretation of Plural Numerical Expressions in Child and Adult Language
Color Compositing
Color Space Transformations
Color Spaces
ColorMap
CommonCrawl
Comparing Data Augmentation Strategies for Deep Image Classification
Complete AI Pipeline
Compliant Robot
Composing shallow neural networks to get deep
composition
Comprehensibility
Computational Graph
Conceptual Parsing
Concurrency
Concussion
Conditional GAN
Conditional Independence
conditioning
Conductance
Cone
Confidence
Confirmation Bias
Conformer
Confusion Matrix
Connectionism
Connectionist Networks
Connectives
Connectome
Consequentialist ethics
Conservation Of Momentum
Contact Sensor
Content Based Attention
Content Based Recommender
Content Morpheme
Content words
Context Free Grammar
Context Similarity
Continous -> Discrete
Continuous Path
Contour
Contrastive Loss
Contrastive Predictive Coding
Contributions of Shape, Texture, and Color in Visual Recognition Abstract
Conv Based Noise Reduction
ConvBERT
Convnd
ConvNeXt
Convolutional RNN
Coping Theory
Coronary Bypass
Corpus callosum
Corpus dependence
Correlation
Cortical Homunculus
Cortisol
Cosine Distance
Cosine Learning Rate Decay
Cosine Similarity
Cost conference
Counterfactual Fairness
Counterfactual Images
Counterfactual Impact Evaluation
Countouring with Transparency
coupling flows
Covariance
Coverage Bias
Coverage of ethics within the artificial intelligence and machine learning academic literature
CowMask
Crash Blossom
CRISPR (clustered Regularly-interspaced Short Palindromic repeats)
Critical Points
croissant
Cropping
Cross angle Maximization
Cross Entropy
Cross Minimization
Cross Modal Distillation
Cross Modal-based Methods
Cross Validation
Cross-dataset generalization
cross-layer parameter sharing
Cross-situational learning
CTC
CUB-200-2011
CUB-200-2011
Cuboids
Cumulative Interpretation
Curl And Vorticity
Curriculum Learning
Curse of Dimensionality
Cut and Delete
Cut and Mix
Cut, Paste and Learn
CutMix
Cutout
CvT
Cycle Consistency Loss
CycleGAN
Cyclic Learning Rate
Cyclo Drive
Cylinders
Cylindrical Topology
DALL-E
DALL-E 2
DALL·E 2
Data aug for spoken language
Data Augmentation via Latent Space Interpolation for Image Classification
Data Augmentation with Curriculum Learning
Data Augmentation with Curriculum Learning
Data Free Distillation
Data storage for different AI dataset services
Data Structures
data2vec
dataset
DCGAN
Decision Boundaries
Declarative memory
Declarative Memory Blending
DeconvNet
Deductive Approaches
Deep Brain Stimulation
Deep Generative Models
Deep Inside Convolutional Networks
Deep Neural Networks are Easily Fooled High Confidence Predictions for Unrecognizable Images
Deep Visual Explanation
DeepFM
DeepFool
DeepLIFT
DeepNet
DeepNorm
DeepPERF
Default mode network
Defibrillator
Degrees of Freedom
DeiT
Delta Waves
Demographic Parity
Dendrites
Denoising Autoencoder
Dense
Dense Net
Dense Skip Connections
Dense Vector Indexes
Density
Density estimation using real NVP
Deontological ethics
Depth Efficiency of Neural Networks
Depthwise Separable
Derivational Morphology
Detailed Balance
Determiners
DevOn AI dev
dGSLM
Dialyser
Dialysis
Dice Score
DICOM
Dictionary Learning
Diffusion LM
Diffusion Tensor
Digital Phenotyping
Dikes and Rivers
Dilated Sliding Window Attention
Dimensionality Reduction
Dirac Delta
Direct entropy minimization
Direct-drive
Dirichlet Distribution
Discrete -> Continous Transforms
Discrete Cosine Transform
Disparate Impact
Disparate Treatment
Displacement
Distance Measures
Distillation Algorithms
Distillation Loss
Distillation Schemes
Distillation Token
DistillBERT
Distilling the Knowledge in a Neural Network
Distributive Interpretation
Distributive Interpretation (2)
Distributive units
DiTransitive verb
Divergence
Divide Oriented
DLRM
Docker Cheatsheet
Document Triage
Dopamine
Dot Product Attention
Double Descent
Down Syndrome
Downsampling
Downstream Task
DrawBench
Dreamfusion
Drop Delivery
Dropout
DT
DT Tutor
Dual-memory Approach
Dynamic Eager Execution
Dynamic Sparsity
Dynamic visual attention
Eager Execution
Early Ray Termination
Early Stopping
Earth Mover's Distance (EMD)
Eavesdropping
Edema
Edge Graphs
Edge Prediction Tasks
EEG
EEG Artifacts
EEG Baseline Correction
EEG Cap
EEG Cluster Testing
EEG Filtering
EEG Statistical Analysis
Effect of Depth
Effects of Contextual Cues on Inferring and Remembering Meanings of New Word
Effects of Regularization
Efferent
EfficientNet
Ego-motion
EigenCAM
Eigenvector
Einsum
Elaborateness
ELBO loss
ELECTRA
Electrical Energy
Electroconvulsive Therapy (ECT)
Electrode nomenclature
Elements of sets
Elementwise Flows
Ellipsoids
Elman 1990
Elman 1990
Elman 1990
Elman 1990
ELMO
Elu
Embedding
Embedding ethical principles in collective decision support systems
Embedding Human Knowledge into Deep Neural Network via Attention Map
Embolism
Emergentism
Emperical Risk
Enabling Device
Encoder Decoder Attention
Encoding
End-effector
Endoscope
Endpoint
Energy Transferred in a Component
English Wikipedia
Ensemble Distillation
Ensemble of Shape Functions
Entities involving in actions
Entourage Plot
Entropy
Entropy minimization by adverarial learning
Ependymal Cell
Epigenetics
Epilepsy
Epistemic
Equal And Opposite Force Pairs
Equality of Opportunity
Equalized Odds
Equations of motion
Equivalent Current Dipole
Equivariance and Invariance for Graphs
Eraneous
Ergodic
ERP
Ethical dilemmas
ethics
Euclidean Distance
Eugenics
Euler Integration
Eulerian Grid
Europarl-ST
Even angels need the rules AI, roboethics, and the law
Evidence For Distributivity Effects in Comprehension
Example GCN Layer
explainability
Explainability Defn
Explainability Taxonomy
Explainable Artificial Intelligence (XAI) Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Explanation is not a Technical Term
Explanator
Exploding Gradient
Exponential Distribution
Extensions to SlimStampen
Extra-position
Eye Tracking
Eye-to-hand System
FaceNet
Factorized Embedding Parameters
Factors for MC Estimate
Fairness
Fairness Constraint
Faithfulness
Familar Object Grasping Object Viiew recog
Fasai Tricks
Fashion MNIST
Fast AutoAugment
fastai
Fastai Blocks
Fastai Deployment
Fastai Interpretation
Faster RCNN
FastText
FeatMatch
Feature Augmentation
Feature Based Knowledge
Feature Correlationa
Feature Learning
Feature Map Visualization
Feature Space Augmentation
Feature Spec
Features
Federated Learning
Federated Updates
Feedback Loop
Few Shot Order Sensitivity
FGSM
FGVC Aircraft
FGVCx
FHIR
Filter Bubble Problem
Filter Wise Normalization
Filtering
Final Paper LM
Final Paper User Models
Fine Grained assesment
Fine grained datasets
Fine Tuning Based Pruning
Fine-grained Object Recognition
Finite Differences
First order generalization
First order integration
Fisher Spanish-English
Fitting
Fixed Factorization Attention
Fixed Factors
Flamingo
FLASH
FLAVA
Flickr30K
Flipping
flow
FlowNet
Flynn's Taxonomy
Fmix
fMRI
Focal Loss
Focused Life
Foley
Force
Force Directed Graph Layout
Forceps
Forgetting
Forward Backward Matching
Forward Kinematic Solution
Forward Kinematics
FP16 training
Fractional Anisotropy
Fracture
Free morpheme
Free Semantic Label-based Method
Freedom
Frequentist
Friction
Frobenius norm
Front to Back Raycasting
Frontal lobe
Frontal Operculum
FTSwish
fully informed ethical judgement
Function words
Functional Connectivity
Functional correlates
Functional Morpheme
Fundamentals
Galactica
GAM
Game Based Learning
Gamification
Gaming addiction
Gamma Waves
Gamma-aminobutyric Acid (GABA)
GAN Z Space
GAN‐based Data Augmentation
Gantry Robot
Gas Law
Gated Recurrent Unit (GRU)
Gato
GAU
Gaussian Baseline
Gaussian Distortion
Gaussian Filter
Gaze position
GE2E
GELU
gen_quotes
Gene Expression
Generalization Curve
Generalizing Adversarial Explanations with Grad-CAM
Generative RNN
Generative Spoken Language Modeling
Generative vs Discriminative Models
Generative_Models
GenEth
gensim
Geometric Transformations
Gestalt Laws
GGCNN
Git Commands
Glia
Glioblastoma
Glioma
Global and Sliding Window Attention
Global Average Pooling
Global Classification Accuracy
Global Gradient Magnitude Based Pruning
Global Magnitude Based Pruning
GloVE
GLOW
Glucose
GLUE
Glymphatic System
Glyphs
GOMS
Goodhart's Law
Google Conceptual Captions
Google NMT
Google voice search task
GPT
GPT3
GQL for SQL Users
GradCAM
GradCAM++
Gradient Accumulation
Gradient Ascent
Gradient Boosting
Gradient Checkpointing
Gradient Clipping
Gradient Descent
Gradient Direction
Gradient Sensitivity
Gradio
Gram matrix
Granger Causallity
Graph Based Distillation
Graph convolutional network
Graph Level Tasks
Graph mean pooling
Graph Neural Network
Graph-based visual saliency
Graphs
Grasp Point Detection
Gravity
Gravity Loading
GRConvNet
Greedy Policy
Grey sheep problem
GridMask
Grids
Gripper
Group fairness
Group Modeling Approach
GTA5
Guided BackProp
Guided GradCAM
Gyrus
H3 View
Hallucination
Hallucination Text Generation
Hamming Distance
Hand Guiding
handwritingRecognition
Hard Parameter Sharing
Harmonic Drive
Harness
Hashing
Hausdorff Distance
Haversine Distance
He Initialization
Heaviside
Height Plots
Heightmaps Kinesthetic
Heirarchial Refinement
Helmholtz Theorem
Help Abuse
Help Refusal
heteroscedastic nonlinear regression
Heteroscedatic
Hide and Seek
Hierarchical Edge Bundling
HiFI-GAN Synthesis
HiFI-GAN_Denoising
High pass filter
Higher Layer Capsule
Highway Convolutions
Hinge
Hit list
HL7
HMDB51
HNSW
Holdout Data
Homoscedatic
Hopfield networks
How the Sciences Faded From India
How to take your visual storytelling to the next level
Huber/Smooth L1/Smooth MAE
Human Action Recognition
Humanoid Vision Engine
Huntington’s Disease
Hybrid Word Segmentation
HyperStreamlines
Hypertension
Hypodermic Needle
Hypotension
Hypothalamus
Hysterectomy
HyTAS
i-Code
ICA
ICA Noise Removal
Ideas for Fact Learning
Identity Loss
IDRiD
IID
ill conditioning
ILSVRC
Image Captioning
Image Classification
Image Data
Image Data Augmentation Survey
Image Erasing
Image Generation
Image Generation with Colorization
Image Generation with Inpainting
Image Generation with Super Resolution
Image Manipulation
Image Mix
Image Mixing and Deletion
Imagen
ImageNet
IMDB
Implementation Invariance
Implicit Bias
Implicitly learning when to be ready - From instances to categories
Improved variational inference with inverse autoregressive flows
Impulse
In Silico
In Vitro
In Vivo
In-group Bias
Inattentional Blindness
iNaturalist
Inception
Inceptionism
Independence
Index
Indirect Volume Visualization
Individual Fairness
Individual Modeling
Induced Pluripotent Stem Cell (iPSC)
Inductive Bias
Inductive Learning
Inductive Models
Inductive Sensor
Inertia
Inference Path
Infix
Inflectional Morphology
Inflectional words
Influence of image classification accuracy on saliency map estimation
Information Gain
Information Visualization
Informativeness
Inhibitory Control Network
Initialization
Instance Normalization
Instance-based Learning
Instant NeRF
Instruction Bandwidth
Instruction Cycle
Instruction Latency
Instruction level programming
Instruction Pipelining
Instruction Throughput
Insula
Integral Lines
Integrated Gradients
Inter-rater Agreement
inter-sentence coherence loss
Interactivity
Interneuron
Interpolation
Interpretability
Interpretability and Explainability A Machine Learning Zoo Mini-tour
Interpretability vs Neuroscience
Interpretation of Neural networks is fragile
Interpreting Attention
Interpretive Labor
Interview Tips
Intra Cluster Variance
Intra-Class Part Swapping
Intravenous
Intubation
Intuitive Color spaces
Invariant Distribution
inverse autoregressive flows
Inverse Kinematics
Inverse Reinforcement Learning
Inverse Square Law
Ion Channel
IRT
ISIC 2018
Isolating words
Isoline
Isosurface
Isotropic Architectures
Issues
Iterative Closest Point
ITM Loss
IVFADC
Jaccard Distance
Jacobian Matrix
Jensen Shannon Divergence Consistency Loss
jobs
jobtemp
Joint Factor Analysis
Joint Interpolated Motion
Joint Motion Type
Joint Space
Joint Velocity
Jukebox
K Means
Kalman Filter
KeepAugment
Kernel Filters
Kernel Support Vector Machines (KSVMs)
Kernel Visualization
Ketamine
Kickstart AI
Kinesthetic Teaching
Kinetic Energy
Kinetic Friction
Kinetics
Kipf Normalization
KITTI
KL Divergence
Klue ML Engineer
Knowledge Component
Knowledge Distillation
Knowledge Distillation Survey 2021
Kvasir Dataset
Label bias
Label Encoding
Label Smoothing
Labeled Faces in the Wild
Lack of Information
Ladle Gripper
Lagrangian Coherent Structure
Lagrangian Grid
LaMDA
language
Language dependence
Language Identification
Laplace Distribution
Laplacian Grid Smoothing
Large Batch Training
Large Kernel in Attention
Large Kernel in Convolution
LASER
Latent Dirchlet Allocation
Latent Semantic Analysis
Latitude Junior ML Engineer
Law of Large Numbers
Layer Normalization
Layers
Layers for GNNs
Layerwise Conservation Principle
Layerwise Gradient Magnitude Based Pruning
Layerwise Magnitude Based Pruning
Layerwise Relevance Propagation
LDA
Le Net
Lead Test
Leaky Relu
Leap Data Scientist
Learning Component
Learning Event
Learning from RGB-Flow Correspondence
Learning from Video Colorization
Learning from Video Prediction
Learning from Visual-Audio Correspondence
Learning L2 German Vocabulary Through Reading
Learning Rate Decay
Learning Rate Range Test
Learning Rate Scheduling
Learning Rate Warmup
Learning to Detect Grasp Affordance
Learning with Context Similarity
Learning with Labels Generated by Game Engines
Learning with Labels Generated by Hard-code Programs
Learning with Spatial Context Structure
Least squares loss
LeCake
LeCun Init
Left psuedo inverse
Lemmatization
Length Optimization
Lesion
Lexical Ambiguity
Lexical Disambiguation
Lexical Word Segmentation
Lexically Collective
Lexically Distributive
Lexicon
LibriSpeech
Limbic system
LIME
Limited features
Line Integral Convolution
Linear Classifier Probes
Linear Flows
Linear Interpolated Motion
Linear Learning Rate Scaling
Linear Regression
Linear Scale Encoding
Linguistic details
Lisht
Listen Attend Spell
LLM Guide
Load balancing
Load Cycle Time
Local Descriptor
Local Reference Frame
Local-LDA Object Representation
Localist units
Locality
Location Aware Attention
Location Base Attention
Log Cosh
Log likelihood criterion
Log Likelihood Loss
Log-odds
Logarithm
Logistic Regression
Logits
Long Short Term Memory (LSTM)
Long Term Potentiation (LTP)
Longformer
Loop Tiling
Loss for binary classification
Loss for multiclass classification
Loss for univariate regression
Lost in the Middle How Language Models Use Long Contexts
Low-rank factorization
Lp Regularization
LRP
Lumbar Puncture or Spinal Tap
Machine Learning Tool Landscape
Macroadaptation
MADE - Masked autoencoder for distribution estimation
MAE
Magic3D
Magical maybe
Magnetic Detectors
Malignant
Mallows Cp Statistic
Manhattan Distance
Manifold
Manifold MixUp
ManifoldMix
Manipulator
MAPE
Mapping to Geometry
Marching Cubes
Marching Squares
Marching Tetrahedra
Margin Ranking
Markov Chain
Markov for Continuous Distributions
Markov Initial Distribution
Markov Property
Markov Random Field
Markov Transition Kernel
Masked Autoencoders
Masked autoregressive flow for density estimation
Masked Language Modeling
Mastectomy
mastersthesis
Mastery learning
Material Processing Robot
Matrix notation for NNs
Max Margin Loss
Maximum Distance Baseline
Maximum LIkelihood
Maximum likelihood criterion
Maximum Matching Algorithm
Maxout
MCMC Sampling
MCnet
Mean Diffusivity
Mean Observed Dissimilarity
Media Distillery
MediaMonks
Median Filter
Mediatic Behavior
medical
Memory Coupling
Memory to Memory Architecture
memory trace
Memory-based learning
Mental Fatigue
Mental Model Matching
Mesh refinement
Mesh Smoothing
Mesolimbic Pathway
Meta AI Speech from Brain
Meta Learning Data Augmentations
Methods for Feature Learning
Microbiota
Microglia
Micromarriage
Midpoint Decider
Midpoint Method
MILAN
MILANNOTATIONS
Milin et al.
MIMD
Minerva
Mini Batch GD
Minimal Semantic Commitment
Minimization and reporting of negative impacts
Minimizing Communication
Minkowski Distance
Mirman Et Al
Mirman et al.
Mirror Shift Function
MISD
Misyak et al 2010
MIT300
MIT1003
Mixed chunk attention
Mixed Effect Models
Mixed Example
Mixup
ML Production Flow
MLCompany
MLDoc
MLIM
MLM
MLOps
MMLU
MNIST
Mobile Net
MobileOne
MoCO
Modality
Modality Dropout
Mode Collapse
Mode Switch
Model Capacity
Modeling Driver Behavior with Cognitive Architecture
Modeling motivation using goal competition in mental fatigue studies
Modeling Transfer
Moment Exchange
Moment in Time
Momentum
Monk
Moral decision making frameworks for artificial intelligence
Moral Machine project
MoralDM
MoreMVCNN
Morpheme
Morpheme Generation
Morpheme Segmentation
Morphology
Morphology Affix
Morphology Stem
Morphotactic
Motor Memories
MRI
MSCOCO
MSE
MSLE
Multi Head Attention
Multi Scale Flows
Multi Task Learning
Multi Teacher Distillation
Multi Variate AR
Multimodal Explanation
Multinomial
Multiple constraint-based theories
Multiple Local Minima
Multiple Sclerosis
Multiplicative Attention
MultiReader technique
MUSAN
Muse
MVCNN
MVGrasp
Myelin
Myocardial Infarction
N Dim Normal Distribution
NADAM
Names of individuals
NaN Trap
Nasnet
Nativists
NCE
Nearest Neighbor Retrieval
Nebulizer
Negative Log Likelihood
Negative Sampling
Negative Set Bias
Nesterov Momentum
Network Dissection Quantifying Interpretability of Deep Visual Representions
Neural Augmentation
Neural Chimera
Neural Dynamics
Neural Induction
Neural Network Architecture Cheat Sheet
Neural Probabilistic Model
Neural Radiance Field
Neural Text Degeneration
Neuroaesthetics
Neurogenesis
Neuroplasticity
Newtons Laws
NICE - non linear independant components estimation
NIST 2008 Speaker Recognition Evaluation dataset
NIST SRE 2016 Cantonese
NLAIC Companies
NLVR2
No bias decay
Node Distribution
Node Level Tasks
Node LInk Diagram
Noise
Noise Injection
Noise Suppression
Noise Tunnel
Noisy Relu
Non Maxima Supression
Non Relational Inductive Bias
Non-adjacent dependencies
Non-response Bias
Nonstationarity
Nootropics
Normal Distribution
Normalization
Normalized Inverted Structural Similarity Index
Norms as a basis for governing sociotechnical systems
Notch filter
notes
NRIN on tour
Nucleotide
Nucleotide Sequence
Nucleus Accumbens
Nucleus Sampling
NUMA
Numerically Quantified Expressions
Object Detection
Object-relative clauses
Oblique Slicing
Obsidian tutorial
Occipital lobe
Occlusion
Occult Blood Screen
Odido
Offline Distillation
Ogliodendrocytes
Ohms Law
On the Distinction Between Perceived Duration and Event Timing - Towards a Unified Model of Time Perception
On the Importance of Visual Context for Data Augmentation in Scene Understanding
On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images
One cycle policy
One Hot Encoding
Opacity Correction
Open Science @ TUe
OpenML <> scikit-learn hackathon
openml feedback
OpenML Software Engineer
OpenML x SURF
Operator Fusion
Ophthalmoscope
Opportunistic Learning
OPT
Optical Encoder
Optical Proximity Sensors
Optimization
Optimizing Work
Optogenetics
Orbisk
Organoid
Orthogonal Initialization
Orthogonal Slicing
OrthographicNet
OSIE
Ostension
Ostensive Information
Otoscope or Auriscope
Out of Order Execution
Out-group Homogeneity Bias
Out-of-bag Evaluation (OOB evaluation)
Overhypotheses
Oxytocin
Padded Conv
Palletizing
PaLM
Parallel
Parallel Coordinate Plots
Parallel Granularity
Parallel Processing
Parallel Runner
Parallel Shift Function
Parameter Sharing for Graphs
Parametric Relu
Parasympathetic
Parent Approximations
Parietal lobe
Parkinson’s Disease
Partial Dependence Plot
partially informed ethical judgement
Participation Bias
Particle Filter
Particle Visualization
Parts of action
Parts of entities
PASCAL VOC
PASCAL-S
past tense
PatchGAN
Pathlines
PCA
Pearson Correlation
PEER
Pendant Teaching
People Art Dataset
Perception
Perception Component
Perceptron
Perceptual Messages
Perceptually Uniform
Peripheral Nervous System
Perplexity
pGLSM
Pharmacotherapy
Phase Transition Model Zoo
Phases of Simulated User Experiments
PhD vs Startup vs Big Company
Phenaki
Phenotype
Phonetics
Phong Lighting
Phonology
Phrase Representation Learning
Picasso Dataset
Pick and Place Cycle
Picky Puppet Method
Pinch Points
Pineal gland
Pipes
Pituitary gland
PIUQ
Pix2Seq
pixelattribution
PixelShuffle
Places
Places365
plan recognition problem
PlantCLEF
Pluripotency
Point Cloud Data
Point Distribution
Point-to-Point
PointNet++
Poisson Loss
Poisson Process
Poki Data Scientist
Polynomial Trajectories
Polysynthetic words
Pooling
Population Based Augmentation
Population Correlation
Position Encoding
Position Wise Feed Forward
Positron Emission Tomography (PET)
Possion Distribution
Post Classification
Post-processing Your Model's Output
Postattentive Amnesia
Posterior Mean Estimate
Postsynaptic Cell
Power
Power and Force Limiting (PFL)
PQ
Pragmatic engineer blogs
Pragmatics
Pre Classification
Pre Integrated Volume Rendering
Preattentive Processing
Precision
Precision Recall Curve
Predicate
Predicting Student learning Curve
Prediction assumption
Prediction Difference Analysis
Predictive Parity
Predictive Uncertainty
Preferences and ethical principles in decision making
Prefix
Prepositions
Presence-sensing Safeguarding Device
Pressure = ForceArea
Presynaptic Cell
Pretext Task
Pretext Tasks
Primary Capsule
Prion
Prismatic Joint
Privacy awareness
Probability
Probability Density Function
Probability Mass Function
probabl hackathon
Problems facing MLOps
Programmable Logical Controller (PLC)
PromptIR
Properties of Adjacency matrix
Properties Required by Network Layers for Normalizing Flows
Propose-but-verify
Protein Folding
Protein Modeling
Proto Distributions
Proto PDF
Proto PMF
Proximity Sensor
Proxy Attention
Proxy features
Proxy Objective
Pruning
Pseudo Label
Psycholinguistics
psychology
Psychosis
Pulse Coordinates
Pulse Oximeter
Punctuation
Pupil Dilation
Puzzle Mix
PWC Data Analyst Junior
Pyramidal cell
Pytorch Tricks
Quadratic Loss
Quadratic Potential Field
Quantifier spreading children misled by ostensive cues
Quantifiers
Quantifying Uncertainty
Quantile Bucketing
Quantile loss
Quantile Regression
Quantized Distillation
Quasi-static Clamping
quotes
Rabobank
RACE
RadboudUMC
Radial Plot
RAGAS - automated evaluation of RAG
RAHP
Ramp up problem
RandAugment
Random Directions
Random Distortion
Random Dump
Random Erasing
Random Factors
Random Pruning
Rank (Tensor)
RANSAC
Rapid Eye Movement (REM) Sleep
Rational inference
Raycasting
Real Time Image Saliency for Black Box Classifiers
Reasoning Component
Recall
Receptive field
Recessive
Recipe for constructing loss functions
Recommender System
Reconstruction loss
Recurrent
Redress
Reflex Hammer
Reg Uncertainty
Regex cheatsheet
Region Growing
Region Proposal
Register Renaming
Register to Register Architecture
RegNet
Regularization
Regularization Rate
regularize
Reinforcement Learning
Rejection Sampling
Relational Inductive Bias
Relative Multi Head Self Attention
Relevance Account
Relevance Theory
Relu
Remission
ReMix
RepLKNet
Representation Bias
Representational Capacity
Representing Graphs
RepVGG
Res Net
Res Net D
Rescorla-Wagner Algorithm
Rescorla-Wagner Blocking
Research Debt
Research Distillation
Research Engineer in Human Modeling for Automated Driving delft
Research Intimacy
residual flows
Resistance
ResizeMix
ResNeXt
Response Based Knowledge
Restricted Boltzmann Machine
RETAIn
RetinaNet
RETRO
Reuptake
Revisiting variable foreperiod effects evaluating the repetition priming account
Revolute Joint
RICAP
Ridge Regression
RISE
Risk Mitigation
Rmsprop
RoBERTa
Robot Range Limit Monitoring
Robotic Joints
robotics
Robust RegNet
Robust regression
ROC Curve
Rod
Roll
Rotary Joint
Rotary Vector Drive (RV)
Rotational Invariance
Routing by Agreement
Runge Kutta
S2ST
sacred values
Saddle Points
Safeguard
Safety Integrity Level
Safety Logic Circuit
Saffran, Aslin and Newport
Salemi and Zamani - 2024 - Evaluating Retrieval Quality in Retrieval-Augmente
Salicon dataset
Salience Map
Saliency using natural statistics
Saliency vs Attention
SaliencyMix
Salient Object Strategy
SAM-ResNet
Sample Correlation
Sample Pairing
Sampler
Sampling Bias
Sampling Ray Casting
Sanity Checks for Saliency Maps
Satellite Cell
Satisficing Heuristic
SBU Captions
Scalar Articles
Scalar Color Coding
Scalar Register
Scaled benefits
Scaled Dot Product Attention
Scaling matrix for coupling layers
Scatter and Gather
Scene based text to image generation
SceneNet RGB-D
Scheduling
Schipol Data Scientist
Schwann Cell
ScoreCAM
Scoring Pruning Approaches
SDR
Second Language Vocabulary Learning , The role of context versus translation
Second order generalization
Seg Net
Selection Bias
Self Attention
Self Attention GAN
Self Distillation
Self Organizing Maps
Self Supervised
Self Supervised Survey
Self Supervised Vision Transformers
Self-supervised Learning
SELU
Semantic Analysis
Semantic Data
Semantic Grammar
Semantic Markers
Semantic Segmentation
Semantics influences form
Semi Supervised
Semi-Supervised Learning Formulation
Sense-Plan-Act Model
Sensitivity
Sensory Feedback
Sentence level processing
Sentence Segmentation
Sentiment Neuron
SentimentAnalysis
Separation
Sepsis
Seq2Seq
Sequential auto encoding of neural embeddings - SANE
Sequential effects within a short foreperiod context Evidence for the conditioning account of temporal preparation
Sequential Relation Bias
Serious Games
Serotonin
Servo Control
Servo Motor
Servo Pack
Servo-controlled Robot
Servo-system
SGD
SGD Momentum
Shading
Shake-Drop
Shake-Shake
Shallow vs deep networks
SHAP
Shapes Dataset
Shared Character Set
Sharpness and Flatness
Shear
Shepard Interpolation
Sherlock
Shock Detection Function
Shortcuts to Quantifier Interpretation in Children and Adults
Shrinkage
Shuffled-AUC
ShuffleNet
Sigmoid
SimCLR
SIMD
Simple Gradient Descent
Single unit recording
Singularity
SISD
Sketched Update
Sketching
Skew Tilt
Skewed data
Skip Connection
Skip Gram
SLAK
Slice Based Volume Rendering
Sliding Window Attention
SlimStampen
Small World graphs
Smart Augmentation
Smooth-Grad
SmoothGrad Square
SmoothMix
Smoothness
SMOTE
SMP
SnapMix
Social Construction of XAI, do we need one definition to rule them all
Soft Attention
Soft Parameter Sharing
Softlimit Setting Function
Softmax
Softplus
Somatic
Somatosensory Cortex
Sono-stimulation
Sonogenetics
Sørensen-Dice Index
Soundify
SP-LIME
Sparse Dict Learning Loss
Sparse Encoder Indexes
Sparse Evolutionary Training
Sparse Transformer
Sparsity
Spatial Context Structure
Spatial Transformer
Spatiotemporal Convolutional Neural Network
Speaker Verification
Speakers in the Wild
SpecAugment
Specificity
Spectrogram
Speculative Execution
Speculum
Speech Emotion Recognition
Speech Recognition
Speech Resynthesis
Spiking Networks
Spirometer
Spline
Spline Motion Type
SQL-Tutor
SQuAD
Square Integrable
Squared Error
Squared Hinge
SRN
SSR
Stable Difusion
Stack GAN
Stacking RNN
Staged Training
Standard Deviation
Stanford Dogs
StarGAN
StarGAN v2
Static Friction
Static Graph Execution
Stationarity
Statistical Word Segmentation
Stem Cells
Steve
STL-10
Stoch Ensemble Learning
Stratified Random Sampling
Stream Ribbons
Stream Surfaces
Streamline Stopping Criterion
Streamlines
Striatum
Strided
Strided Attention
Strip Mining
Stroke
Stroop Task
Structural Risk Minimization
Structural Similarity Index
Structure Based Pruning
Structured Update
Style GAN
Subgenual Cortex
Subject relative
Subject-verb agreement
Substantia Nigra
Subthalamic Nucleus
Sufficiency
Suffix
Sugar Factory Task
Sulcus
Summit
SUNCG
Super Resolution
Superposition Catastrophe
SuperQuadrics
SuperScalar
Supervised Learning Formulation
Suppletion
surjection
SVHN
swap-dominance
Swichboard
Swin Transformer
Swish
Symbolic learning model
Symbolic models
Symmetries Node Link
Sympathetic
Synaptic Pruning
Synaptic Transmission
Syntactic Ambiguity
Syntactic Analysis
Syntactic Bootstrapping
Syntax First models
SYNTHIA
T. B. Macaulay
Tacotron
TAILOR conference lisbon '24
Tainted data
Taking on semantic commitments, II collective versus distributive readings
Tanh
Task (endeffector) Space Vs. Joint Space
Tau Protein
Teach Lock
Teacher Forcing
Teacher Student Architecture
Telomere
Temporal Context Structure
Temporal Conv
Temporal Learning
Temporal lobe
Temporal order recognition
Temporal order verification
Tensor Processing Unit
Term
Test-time Augmentation
Text Normalization
Text Preprocessing
Text Segmentation
Textbooks are all you need
Textless Speech Emotion Conversion
textless-lib
Thalamus
The Behavior of Tutoring Systems
The Differentiation Condition
The Effect of Three Consecutive Context Sentences on EFL Vocabulary-Learning
The elephant in the interpretability room
The Programmers Brain
The Repulsive Potential
The Reward Experiment
The Self Organization of Explicit Attitudes
The Unified Causal AI Pipeline
The Unreliability of Saliency Methods
The warning stimulus as retrieval cue The role of associative memory in temporal preparation
There and back again
Thesis Flow
Theta Waves
Threaded Cognition
Thrombosis
Through-beam
TIghtly coupled
Tightly coupled code
Time
Time Dependant Vector Field
Time Measuring Function
Time Series Prediction
Time space duality
TinyBERT
To Look at
todo
Token Embedding
Tokenizer
Top Down Parsing
Tourette’s Syndrome
Towards A Rigorous Science of Interpretable Machine Learning
Tower
TPU Node
TPU Pod
TPU Slice
Traces of times past Representations of temporal intervals in memory
Tracking the Continuity of Language Comprehension Computer Mouse Trajectories Suggest Parallel Syntactic Processing
Tractability
Training Trajectories
Training-serving Skew
Trajectory
Trajectory Planning
Trajectory Plotting with PCA
Transcranial Electrical Stimulation (tDCS and tACS)
Transcranial Magnetic Stimulation (TMS)
Transducer
Transductive Models
Transfer Function
Transfer Learning
Transfer Learning or Self-supervised Learning? A Tale of Two Pretraining Paradigms
Transferability
Transferred compact convolutional filters
Transformer
Transformer Physics
Transformer-XL
Transitional probabilities
Transitive verb
Translational Invariance
Transparency
Transposed Conv
Trapezoidal Trajectory
Tree Cover Segmentation
tree parity machine
Treemap, Node Link, Stacking
TREEQN
Trees
TREPAN
Triplet Loss
trolley scenario
Trustworthiness
TSDF
Tug of war between RAG and LLM prior
Tuning Model Flexibility
Tutor
Two-photon Microscopy
Types of Graphs
Types of Normalizing flows
Types of Uncertainty
Types of Words
UCF101
ULMFit
Ultrasound
UMA
Un-LSTM
Unawareness
Unbiased Look at Dataset Bias
Uncertainty
Uncertainty Classification
Understandability
Understanding deep learning still requires rethinking generalization
Undue Inducement
Unet
Unet Grasping
Unicode 5.0
Uniform baseline
Uniform Distribution
Uniform Sampling
Unique Character Set
Universal Approximation Theorem
Universal Quantifiers
Unrestricted Race Model
Unsupervised Data Generation
Unsupervised Learning
Untitledp
Uplift Modeling
Upweighting
Use Case Utility
Useful Codes
usermodel
Utilitarian ethics
Vacuum Cup Hand
Vagus Nerve
Van Mises distribution
Vanishing Gradient
Vapnik chervonenkis dimension
VarGrad
Variable Importances
Variation in Dissimilarity Variation in Dissimilarity
Variational Autoencoder
Variational/Recurrent Dropout
VattenFall Data Scientist
Vector Assembly level
Vector Chaining
Vector Functional Units
Vector Load Store Units
Vector Processor
Vector Quantization
Vector Register
Vectorization
Velocity
Verb
Vertebral Arteries
Vestibular System
Vgg
VGGFace2
VGGish
VICReg
Video Generation
Viewpoint Feature Histogram
ViLT
Virtue ethics
Vision Explainibility
Vision Transformer
Visual Associative
Visual Commonsense Reasoning
Visual Context Augmentation
Visual Cortex
Visual Encoding
Visual Genome
Visual Implicit Learning
Visual Length
Visual Ordered
Visual Quantitative
Visual Selective
Visual Servo System
VisualGPT
visualization
Visualization Of Layers
Visualizing the Impact of Feature Attribution Baselines
Visualizing the Loss Landscape of Neural Nets
VL-BEIT
Volterra
Volume Rendering Equation
Volume Visualization
Volumetric Grasping Network
Volumetric Illumination
Von Neumann Architecture
Voronoi Cell
Voxel Projection
VQAv2
VTAB
Wageningen Uni AI
Wall Street Journal task
wave2vec
WaveGlow
Weak Relation Bias
Weakly Supervised Learning Formulation
Weakly-supervised Learning
WebGPT
Weight
Weight Decay Vs L2 Regularization
Weight space learning
Weighted Alternating Least Squares
Wernicke Area
Wh-dependencies
What is being Transferred in transfer learning
Whisper
Whos Thinking, A push for human centered evaluation of LLMs
Wickelphones
Wide Deep Recommender
Width Efficiency of Neural Networks
Window Based Regression
Wisdom of the Crowd
WMT14
WOMBO Dream
Word Blending
Word Clipping
Word Compounding
Word Segmentation
Word Structure
Word Vectors
Word2Vec
Words-and-Rules
Work Envelope
Wrist
X Vectors
XAI
Xavier Initialization
Xception
XLM-R
XLNet
XLSR
Yaw
YFCC100M
YOLO
You Can Play 20 Questions with Nature and Win
Z Normalization
Z-Space Entanglement
Zeiler Fergus
Zero Label Language Learning
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Book Notes
Book Notes
Sep 18, 2024
1 min read
Notes on Books I have read
2 items under this folder.
Jan 30, 2025
_Index_of_Book-Notes
Sep 18, 2024
Understanding Deep Learning