Oren Bochman’s Blog
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    • Notes
    • Paper Reviews
      • Reviews
        • 1973
          • 🏒 Hockey Helmets, Concealed Weapons, and Daylight Saving – Binary Choices with Externalities
        • 1989
          • Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment
        • 1991
          • Simplifying Neural Networks by soft weight sharing
        • 1998
          • On Learning To Become a Successful Loser
        • 1999
        • 2000
          • 🤝 Costly Signaling and Cooperation
        • 2005
          • 🗣️ Talking to Neighbors: Evolution of Regional Meaning in Communication Games
        • 2006
          • title
          • 🧠 Technical Introduction: A primer on probabilistic inference
          • 🧠 Theory-Based Bayesian Models of Inductive Learning and Reasoning
        • 2007
          • The Evolution of Coding in signaling games
          • Goal Inference as Inverse Planning
        • 2008
        • 2009
          • Evolutionary dynamics of Lewis signaling games: signaling systems vs. partial pooling
        • 2010
          • Signals: Signals: Evolution, Learning, and Information
        • 2011
        • 2012
          • Multi-column Deep Neural Networks for Image Classification
          • Improving Neural Networks by Preventing Co-Adaptation of Feature Detectors
          • ImageNet Classification with Deep Convolutional Neural Networks
        • 2013
          • Simulation as an engine of physical scene understanding
          • NIN — Network in Network
          • Handwriting beautification using token means
        • 2014
          • Dropout: A Simple Way to Prevent Neural Networks from Overfitting
          • Some dynamics of signaling games
          • VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition
        • 2015
          • Variational Inference with Normalizing Flows
          • sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
        • 2016
          • Shen Parsing RL
        • 2017
          • 🤝 Diversity Bonuses: How Diverse Teams Achieve Superior Results
          • ️👮 Multi-agent Reinforcement Learning in Sequential Social Dilemmas
        • 2018
          • Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
          • Learning Shape Priors for Single-View 3D Completion and Reconstruction
        • 2019
          • Linguistic generalization and compositionality in modern artificial neural networks
        • 2020
          • ViT — An Image is worth 16x16 words: Transformers for Image Recognition at scale
          • Compositionality and Generalization in Emergent Languages
          • Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries
        • 2021
          • Generally Capable Agents Emerge from Open-Ended Play
          • Emergent Communication of Generalizations
        • 2022
        • 2023
          • Temporal Abstraction in Reinforcement Learning with the Successor Representation
          • 🦚 Honest Signalling Made Simple
        • 2024
          • Tree Attention: Topology-Aware Decoding for Long-Context Attention on GPU Clusters
          • FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
          • LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
          • MambaVision A Hybrid Mamba-Transformer Vision Backbone
          • Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
          • 2BP: 2-Stage Backpropagation
          • TheoremLlama An End-To-End Framework to Train a General-Purpose Large Language Model to Become a Lean4 Expert
          • Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
        • 2025
        • Meta
          • Why bother reviewing papers?
    • Blog
      • Posts
        • 2011
          • Tidy Text Mining With R
          • Text Mining With Python
          • Time management Tips
          • Text Mining With R
        • 2012
          • Wikisym 2012
        • 2013
          • life hacks
        • 2014
          • 2014 10 06 FinTech
        • 2015
          • 2015 02 07 Analytics Checklist
            • Analytics Checklist
          • 2015 02 07 Optimal Bidding
          • 2015 04 20 All Things Data
            • HotJar Heat Map Analysis - Dr. David Darmanin
            • Using Competitive Analysis to Benchmark Your Marketing Efforts Ariel Rosenstein - Similar Web
            • Using Competitive Analysis to Benchmark Your Marketing Efforts - Ariel Rosenstein - Similar Web
        • 2016
          • Travel checklist
        • 2017
          • 2017 07 30 Experimental Design
            • A/B testing cost and risks?
        • 2018
          • 2018 01 16 BRAT
            • text annotation with BRAT
        • 2019
          • 2019 07 31 Exploding and Vanishing Nodes
            • Exploding and vanishing nodes.
          • 2019 11 24 Keys to the Kingdom Extracting Api Keys from a Json File with Jq
            • Docker for data science
        • 2020
          • brace expansion
          • 2020 02 20 Avoid Cross Site Scriptin Errors with a Jupyter Local Runtime
            • How to avoid cross site scripting (XSS) errors with the Jupyter local runtime for Colab
          • 2020 03 04 Pandas Challanges
            • Pandas Productivity Challenge?
          • 2020 04 10 Pdf Extraction
          • 2020 10 25 Deep Learning Relu Intutions
            • Deep Learning Intuitions
          • 2020 11 29 Numpy Meltdown
            • numpy melt down
          • 2020 12 30 Meme Bank
            • Meme bank
        • 2021
          • Transfer learning in NLP
          • Excel 2019 for Marketing Statistics in pandas
          • Inlining Citations for Wikipedia articles
          • WaveNet
          • Storytelling and other essentials
          • Getting more from your agency ?
          • What is in a citation?
          • Stochastic Gradient Descent - The good parts
          • 2021 03 21 Review of Effective Approaches to Attention Based Neural Machine Translation
            • Effective Approaches to Attention-based NMT
          • 2021 03 21 Review of Language Models Are Open Knowledge Graphs
            • Language Models Are Open Knowledge Graphs
          • 2021 04 03 Ruby Installation Snafus
            • Jekyll take 3
          • 2021 04 06 Jekyll Mathjax 3.0 Fix
            • MathJax 3 fix for Jekyll hosted on Github pages
          • 2021 04 07 Linkage
            • Linkage 2021-04-07
          • 2021 04 07 Ten Tips to Improve Your Workflow
            • 10 Tips To Improve Your Workflow
          • 2021 04 08 Other People Problems
          • 2021 04 09 Modeling Events
            • Modeling Events
          • 2021 04 11 Lexical and Semantic Features
          • 2021 04 24 Summerization
            • Automatic Summarization Task
          • 2021 04 25 Bayesian Agent
            • Bayesian agents
          • 2021 04 27 Wingrad Schema
            • Q&A and the Winograd schemas
          • 2021 05 16 Mulitlevel Models
            • Multilevel Models
          • 2021 05 18 Bayesian Betting
          • 2021 05 29 Djvu to Pdf
            • Ebook Hacks
          • 2021 06 10 Layout Models
            • TensorFlow probability
          • 2021 07 01 Json Ld
            • json-ld
          • 2021 07 14 Type Witness Evolving Idiom
            • A type of Witness and an evolving Idiom
          • 2021 08 13 Hackathon Notes
            • Hackathon session link dumps & notes
          • 2021 09 16 Python Graphs
            • Python Graphs
          • 2021 11 08 Advanced ML Workflows
          • 2021 11 12 Language Models and Explainability
            • Language models and explainability
          • 2021 12 07 Attention for Sensor Fusion
            • Attention for sensor fusion
        • 2022
          • 2022 03 05 M1
            • Set Up M1 MacBooks for DS & ML
          • 2022 04 01 Bandits
          • 2022 05 05 Command Line
            • command line
          • 2022 09 12 Robust Regression
          • 2022 09 16 Adaptive Learning Rate
          • 2022 09 16 Loss Engineering
          • 2022 09 22 Entropy for Uncertainty Quantification
            • entropy for uncertainty quantification
        • 2023
          • AutoGluon Cheetsheets
          • The Great Migration
          • 2023-01-11-NLP-IL-Intuit Meetup
          • 2023 02 01 Ds from Scratch
            • OLS regression From Scratch
          • 2023 02 20 Ts Nonlinear
          • 2023 02 28 NLP.IL Booking.com
            • Text2topic Leverage reviews data for multi-label topics classification in Booking.com
            • Validating NLP data and models
          • 2023 03 01 Braindump
          • 2023 03 01 Spark Emr
          • 2023 03 08 Responsible AI
          • 2023 04 11 Quarto Loves Psdocode
            • Quarto loves pseudocode
          • 2023 04 22 Mcmc Algs
            • MCMC algorithms
          • 2023 06 01 Spark
            • Spark Tips
          • 2023 06 01 Synthesis and Stabilization
            • Summary: Synthesis and Stabilization of Complex Behaviors through Online Trajectory Optimization
          • S3 Series
        • 2024
          • readings in rl
          • LLM and the missing link
          • ad hoc complex signaling systems
          • Shannon Game
          • OCR - Brain Dump
          • TL-DR rethinking 💭 topological alignment
          • two ideas on generalization
          • Deduction Evaluation
          • SuperLearner
          • Evolutionary Games and Population Dynamics Summary
          • D3.js in in Quarto Observable
          • A definition by Patrick Henry Winston
          • Is compositionality overrated? The view from language emergence
          • Vitter’s Algorithm
          • Lewis Signaling Game for PettingZoo
          • NLP with RL
          • Signals Experiment
          • Lewis Game from a Bayesian Perspective
          • Stumpy
          • Understanding Emergent Languages
          • More Sugar please
          • event generator
          • replay buffer questions
          • RAD REPL
          • Villeny pure and simple
          • OCR building blocks
          • Post With Code
          • LLM the good the bad and the ugly
          • Mesa Lessons
          • Transformations in Linguistic Representation
          • 😁 Quarto 💖 Mermaid🧜 Mindmaps 🧠
          • Six quick tips to improve modeling
          • Fine-tune llm for Style and Grammar advice.
          • Sugar Scapes
          • 2024 02 01 Quarto Bootstrap
          • 2024 02 19 Rhetoric
            • Rhetoric NLP Tasks
          • 2024 05 02 Signaling Games Tikz
          • 2024 05 03 Urn Models
            • Urn models using Numpy
          • 2024 05 04 Signals Bib
          • 2024 05 09 Roth Erev RL
            • Roth Erev learning in Lewis signaling games
          • 2024 06 01 Bayesian Agents
          • 2024 06 11 Risk Constrained MDP
            • Risk-constrained Markov decision processes
          • 2024 06 12 Logic Puzzles
          • 2024 06 13 Hyper
            • Hyperparameter Optimization
          • 2024 06 23 Zero Inflated Data
            • zero inflated data
          • 2024 06 25 Mesa Rl
            • Mesa & RL
          • Misbehavior of Markets and Scaling in financial prices 1-4
            • Scaling in financial prices 3
            • Scaling in financial prices 2
            • Scaling in financial prices 4
            • Scaling in financial prices 1
        • 2025
          • The roles of Partial pooling and mixed strategies in the Lewis signaling game
          • Rethinking Signaling systems via the lens of compositionality
          • The Referential Lewis Signaling Game
          • Books, Courses Tools
          • Engineering Reinforcement Learning Algorithms
          • Compositionality in Lewis signaling games and MARL transfer learning.
          • Emergent Languages
          • Complex Signals Questions
          • Planning in the Complex Lewis Game
          • Off-Policy Learning
          • A garden of forking paths
          • The Many Path To A Signaling System
            • Podcast
     
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