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Machine Learning

Week 6 AIPass update - answering the top questions from last post (file conflicts, remote models, scale)

Followup to last post with answers to the top questions from the comments. Appreciate everyone who jumped in. The most common one by a mi...

Reddit - Artificial Intelligence · 1 min ·
Llms

Honest ChatGPT vs Claude comparison after using both daily for a month

got tired of reading comparisons that were obvisously written by people who tested each tool for 20 minutes so i ran both at $20/month fo...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

What if attention didn’t need matrix multiplication?

I built a cognitive architecture where all computation reduces to three bit operations: XOR, MAJ, POPCNT. No GEMM. No GPU. No floating-po...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2306.05494] Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
Machine Learning

[2306.05494] Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones

Abstract page for arXiv paper 2306.05494: Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Sys...

arXiv - Machine Learning · 4 min ·
[1906.05284] Image-Adaptive GAN based Reconstruction
Machine Learning

[1906.05284] Image-Adaptive GAN based Reconstruction

Abstract page for arXiv paper 1906.05284: Image-Adaptive GAN based Reconstruction

arXiv - Machine Learning · 3 min ·
[2603.16739] SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
Llms

[2603.16739] SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding

Abstract page for arXiv paper 2603.16739: SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding

arXiv - Machine Learning · 4 min ·
[2603.14830] Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks
Machine Learning

[2603.14830] Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Learning of Non-Linear Tasks

Abstract page for arXiv paper 2603.14830: Dataset Distillation Efficiently Encodes Low-Dimensional Representations from Gradient-Based Le...

arXiv - Machine Learning · 4 min ·
[2603.14575] CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
Llms

[2603.14575] CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad

Abstract page for arXiv paper 2603.14575: CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad

arXiv - Machine Learning · 4 min ·
[2603.14354] Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces
Machine Learning

[2603.14354] Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces

Abstract page for arXiv paper 2603.14354: Deconfounded Lifelong Learning for Autonomous Driving via Dynamic Knowledge Spaces

arXiv - Machine Learning · 4 min ·
[2603.10281] Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework
Machine Learning

[2603.10281] Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework

Abstract page for arXiv paper 2603.10281: Taming Score-Based Denoisers in ADMM: A Convergent Plug-and-Play Framework

arXiv - Machine Learning · 4 min ·
[2603.08343] Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
Machine Learning

[2603.08343] Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers

Abstract page for arXiv paper 2603.08343: Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers

arXiv - Machine Learning · 4 min ·
[2603.08206] Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
Llms

[2603.08206] Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules

Abstract page for arXiv paper 2603.08206: Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions ...

arXiv - Machine Learning · 4 min ·
[2602.11448] Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification
Llms

[2602.11448] Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification

Abstract page for arXiv paper 2602.11448: Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification

arXiv - Machine Learning · 4 min ·
[2602.06542] Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models
Llms

[2602.06542] Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models

Abstract page for arXiv paper 2602.06542: Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models

arXiv - Machine Learning · 4 min ·
[2602.00059] TextBFGS: A Case-Based Reasoning Approach to Code Optimization via Error-Operator Retrieval
Llms

[2602.00059] TextBFGS: A Case-Based Reasoning Approach to Code Optimization via Error-Operator Retrieval

Abstract page for arXiv paper 2602.00059: TextBFGS: A Case-Based Reasoning Approach to Code Optimization via Error-Operator Retrieval

arXiv - Machine Learning · 4 min ·
[2601.19285] Smoothing the Score Function for Generalization in Diffusion Models: An Optimization-based Explanation Framework
Machine Learning

[2601.19285] Smoothing the Score Function for Generalization in Diffusion Models: An Optimization-based Explanation Framework

Abstract page for arXiv paper 2601.19285: Smoothing the Score Function for Generalization in Diffusion Models: An Optimization-based Expl...

arXiv - Machine Learning · 4 min ·
[2601.18672] A Dynamic Framework for Grid Adaptation in Kolmogorov-Arnold Networks
Machine Learning

[2601.18672] A Dynamic Framework for Grid Adaptation in Kolmogorov-Arnold Networks

Abstract page for arXiv paper 2601.18672: A Dynamic Framework for Grid Adaptation in Kolmogorov-Arnold Networks

arXiv - Machine Learning · 4 min ·
[2601.16632] Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting
Machine Learning

[2601.16632] Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting

Abstract page for arXiv paper 2601.16632: Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting

arXiv - Machine Learning · 4 min ·
[2601.06572] Hellinger Multimodal Variational Autoencoders
Machine Learning

[2601.06572] Hellinger Multimodal Variational Autoencoders

Abstract page for arXiv paper 2601.06572: Hellinger Multimodal Variational Autoencoders

arXiv - AI · 3 min ·
[2601.10079] Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
Llms

[2601.10079] Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts

Abstract page for arXiv paper 2601.10079: Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts

arXiv - Machine Learning · 4 min ·
[2512.20177] NeuralCrop: Combining physics and machine learning for improved crop yield projections
Machine Learning

[2512.20177] NeuralCrop: Combining physics and machine learning for improved crop yield projections

Abstract page for arXiv paper 2512.20177: NeuralCrop: Combining physics and machine learning for improved crop yield projections

arXiv - Machine Learning · 4 min ·
[2511.07738] From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training
Llms

[2511.07738] From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training

Abstract page for arXiv paper 2511.07738: From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Tra...

arXiv - Machine Learning · 4 min ·
[2512.03336] Single-Round Scalable Analytic Federated Learning
Machine Learning

[2512.03336] Single-Round Scalable Analytic Federated Learning

Abstract page for arXiv paper 2512.03336: Single-Round Scalable Analytic Federated Learning

arXiv - Machine Learning · 3 min ·
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