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Machine Learning

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Reddit - Machine Learning · 1 min ·
[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation
Llms

[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

arXiv - AI · 4 min ·
[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization
Llms

[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

arXiv - AI · 3 min ·

All Content

[2505.15516] Explainable embeddings with Distance Explainer
Machine Learning

[2505.15516] Explainable embeddings with Distance Explainer

Abstract page for arXiv paper 2505.15516: Explainable embeddings with Distance Explainer

arXiv - Machine Learning · 4 min ·
[2502.01521] Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
Machine Learning

[2502.01521] Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning

Abstract page for arXiv paper 2502.01521: Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning

arXiv - Machine Learning · 3 min ·
[2603.24580] Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
Nlp

[2603.24580] Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA

Abstract page for arXiv paper 2603.24580: Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA

arXiv - Machine Learning · 4 min ·
[2603.24150] A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings
Machine Learning

[2603.24150] A visual observation on the geometry of UMAP projections of the difference vectors of antonym and synonym word pair embeddings

Abstract page for arXiv paper 2603.24150: A visual observation on the geometry of UMAP projections of the difference vectors of antonym a...

arXiv - Machine Learning · 3 min ·
[2603.23794] Sparse Autoencoders for Interpretable Medical Image Representation Learning
Llms

[2603.23794] Sparse Autoencoders for Interpretable Medical Image Representation Learning

Abstract page for arXiv paper 2603.23794: Sparse Autoencoders for Interpretable Medical Image Representation Learning

arXiv - Machine Learning · 3 min ·
[2603.23723] Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers
Nlp

[2603.23723] Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers

Abstract page for arXiv paper 2603.23723: Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficie...

arXiv - Machine Learning · 4 min ·
[2603.23611] LLMORPH: Automated Metamorphic Testing of Large Language Models
Llms

[2603.23611] LLMORPH: Automated Metamorphic Testing of Large Language Models

Abstract page for arXiv paper 2603.23611: LLMORPH: Automated Metamorphic Testing of Large Language Models

arXiv - Machine Learning · 4 min ·
[2603.23583] ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
Nlp

[2603.23583] ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings

Abstract page for arXiv paper 2603.23583: ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings

arXiv - Machine Learning · 4 min ·
[2603.23576] Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM
Llms

[2603.23576] Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM

Abstract page for arXiv paper 2603.23576: Wafer-Level Etch Spatial Profiling for Process Monitoring from Time-Series with Time-LLM

arXiv - Machine Learning · 3 min ·
[2603.23544] DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
Machine Learning

[2603.23544] DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction

Abstract page for arXiv paper 2603.23544: DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio...

arXiv - Machine Learning · 4 min ·
[2603.23534] Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Polarization Tasks in Low-Resource Settings
Machine Learning

[2603.23534] Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Polarization Tasks in Low-Resource Settings

Abstract page for arXiv paper 2603.23534: Not All Pretraining are Created Equal: Threshold Tuning and Class Weighting for Imbalanced Pola...

arXiv - Machine Learning · 3 min ·
[2603.23533] MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG
Llms

[2603.23533] MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG

Abstract page for arXiv paper 2603.23533: MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High...

arXiv - Machine Learning · 4 min ·
[2603.24562] Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
Llms

[2603.24562] Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

Abstract page for arXiv paper 2603.24562: Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

arXiv - Machine Learning · 4 min ·
[2603.24324] Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
Llms

[2603.24324] Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning

Abstract page for arXiv paper 2603.24324: Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforce...

arXiv - Machine Learning · 4 min ·
[2603.24262] Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
Machine Learning

[2603.24262] Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting

Abstract page for arXiv paper 2603.24262: Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting

arXiv - Machine Learning · 3 min ·
[2603.24131] Reservoir-Based Graph Convolutional Networks
Machine Learning

[2603.24131] Reservoir-Based Graph Convolutional Networks

Abstract page for arXiv paper 2603.24131: Reservoir-Based Graph Convolutional Networks

arXiv - Machine Learning · 4 min ·
[2603.24128] On Gossip Algorithms for Machine Learning with Pairwise Objectives
Machine Learning

[2603.24128] On Gossip Algorithms for Machine Learning with Pairwise Objectives

Abstract page for arXiv paper 2603.24128: On Gossip Algorithms for Machine Learning with Pairwise Objectives

arXiv - Machine Learning · 4 min ·
[2603.24093] Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization
Llms

[2603.24093] Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization

Abstract page for arXiv paper 2603.24093: Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization

arXiv - Machine Learning · 4 min ·
[2603.23987] Can we generate portable representations for clinical time series data using LLMs?
Llms

[2603.23987] Can we generate portable representations for clinical time series data using LLMs?

Abstract page for arXiv paper 2603.23987: Can we generate portable representations for clinical time series data using LLMs?

arXiv - Machine Learning · 4 min ·
[2603.23926] Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs
Nlp

[2603.23926] Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs

Abstract page for arXiv paper 2603.23926: Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs

arXiv - Machine Learning · 4 min ·
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