Machine Learning

Papers filed under cs.LG on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

Search paper metadata (including unsummarized papers)

29,221 to 29,280 of 32,577

Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove
Menuka Ghalan, Charles Rodgers, Zachary D. Asher
cs.ROcs.LGarXiv:2609.10951v12026
ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems
Ergan Shang, Flavio Sales Truzzi
cs.LGcs.AIarXiv:2608.18469v12026
Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen
Jiada Li, Xuesong Ye, Olamide Olowoniyi
cs.SEcs.AIcs.ETarXiv:2608.13884v12026
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
Kalpesh Krishna, Yixiao Song, Marzena Karpinska +2
cs.CLcs.CRcs.LGarXiv:2303.13408v22023
Reward learning from human preferences and demonstrations in Atari
Borja Ibarz, Jan Leike, Tobias Pohlen +3
cs.LGcs.AIcs.NEarXiv:1811.06521v12018
Improving Molecular-Morphology Contrastive Pretraining using Deep-Learning-based Morphology Profiles
Jie Li, Kathryn E. Kirchoff, Dante A. Pertusi +1
cs.LGq-bio.BMarXiv:2609.30433v12026
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1
cs.LGcs.AIcs.CVarXiv:1708.05866v22017
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
Katie Kang, Suneel Belkhale, Gregory Kahn +2
cs.LGcs.ROstat.MLarXiv:1902.03701v12019
LUMO (Lightweight Unified Multilingual Orchestrator): A Privacy Preserving Offline Voice Assistant
Md. Mehedi Hasan Naeem, Mst. Kamrunnahar Ruma, Nafiza Anjum +2
cs.LGarXiv:2609.30692v12026
Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities
Haoyang Xie, Feng Ju
cs.AIcs.CVcs.LGarXiv:2505.06507v12025
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
Shubhra Kanti Karmaker Santu, Dongji Feng
cs.AIcs.CLcs.IRarXiv:2305.11430v22023
Heterogeneous Graph Masked Autoencoders
Yijun Tian, Kaiwen Dong, Chunhui Zhang +2
cs.LGarXiv:2208.09957v22022
ALF: An Active Learning Framework for Scientific Discovery
Shikha Surana, Alex Hawkins-Hooker, Olivia Gallup +3
cs.LGarXiv:2609.31197v12026
Self-Supervised Intrinsic Image Decomposition
Michael Janner, Jiajun Wu, Tejas D. Kulkarni +2
cs.CVcs.AIcs.GRarXiv:1711.03678v22017
Handwritten Digit Leakage from Smartphone Motion Sensors Across Unseen Users and Phone Models
Constantino Álvarez Casado, Erkka Rantahalvari, Matteo Pedone +6
cs.LGcs.HCarXiv:2609.32117v12026
Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer
Ali Owfi, Fatemeh Afghah
cs.LGeess.SParXiv:2304.13158v12023
Environment-Adaptive Preference Optimization for Wildfire Prediction
Enyi Jiang, Wu Sun
cs.LGcs.CEarXiv:2605.12435v12026
EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers
Robert J. Joyce, Gideon Miller, Phil Roth +5
cs.CRcs.LGarXiv:2506.05074v12025
Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers
Atakan Işık, Selin Vulga Işık, Ahmet Feridun Işık +1
eess.AScs.AIcs.LGarXiv:2512.22564v12025
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang, Wei-cheng Chang, Hsiang-fu Yu +1
cs.LGcs.AIcs.IRarXiv:2110.00685v22021
Metacognitive Selective Ensemble for Mobile Systems
Sungmin Lee, Kichang Lee, Joonhee Lee +3
cs.LGarXiv:2609.31031v12026
Named Entity Recognition using Sliding Window Approach
Hariom Ingle, Ronit Ghode, Ishwari Gondkar +3
cs.CLcs.LGarXiv:2609.29682v12026
Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment
Dilli Hang Rai
quant-phcs.AIcs.LGarXiv:2609.28491v12026
UltraFeedback: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding +9
cs.CLcs.AIcs.LGarXiv:2310.01377v22023
Planning to Explore via Self-Supervised World Models
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis +3
cs.LGcs.AIcs.CVarXiv:2005.05960v22020
The State of Sparsity in Deep Neural Networks
Trevor Gale, Erich Elsen, Sara Hooker
cs.LGstat.MLarXiv:1902.09574v12019
Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula
Vinoth Selvendran, Zhanming Zhang
cs.AIcs.LGarXiv:2608.30035v12026
HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning
Yibo Gong, Cong Guo, Jiacheng Ding
cs.LGcs.AIcs.HCarXiv:2608.29563v12026
Synth-JEPA: Joint Embedding Prediction for Renderer-Free Synthesizer Parameter Search
Ben Hayes, Haokun Tian, Stefan Lattner
cs.SDcs.LGeess.ASarXiv:2609.31024v12026
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Wei Wen, Yuxiong He, Samyam Rajbhandari +6
cs.LGcs.AIcs.CLarXiv:1709.05027v72017
The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
Max Ruiz Luyten, Mihaela van der Schaar
cs.LGarXiv:2601.00747v12026
Self-Supervised Representation Learning: From Spectral Foundation Models to Auroral Emission Spectra
Matthieu Le Lain, Gaël Cessateur, Sébastien Lefèvre
cs.LGphysics.space-pharXiv:2609.31206v12026
MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics
Zhuofan Shi, Hubao A, Yufei Shao +8
cs.CEcs.LGarXiv:2601.02075v42026
BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
Suhyun Kim, Jinmo Han, Danny Dongyeop Han +9
cs.SDcs.AIcs.LGarXiv:2609.31180v12026
$\phi$-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
Fangzhi Xu, Hang Yan, Chang Ma +4
cs.LGcs.AIcs.CLarXiv:2503.13288v12025
Open Problems in Engineering Machine Learning Systems and the Quality Model
Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae
cs.SEcs.LGarXiv:1904.00001v12019
Better patching using LLM prompting, via Self-Consistency
Toufique Ahmed, Premkumar Devanbu
cs.SEcs.LGarXiv:2306.00108v22023
Reliable, Adaptable, and Attributable Language Models with Retrieval
Akari Asai, Zexuan Zhong, Danqi Chen +4
cs.CLcs.AIcs.LGarXiv:2403.03187v12024
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation
Jack Kosaian, K. V. Rashmi, Shivaram Venkataraman
cs.LGcs.ITmath.ITarXiv:1806.01259v12018
Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies
Manojkumar Parmar, Yuvaraj Govindarajulu
cs.LGcs.AIcs.CLarXiv:2501.17030v12025
Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks
Sahil Bhatia, Rishabh Singh
cs.PLcs.AIcs.LGarXiv:1603.06129v12016
Teaching Software Engineering for AI-Enabled Systems
Christian Kästner, Eunsuk Kang
cs.SEcs.AIcs.LGarXiv:2001.06691v12020
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
Ranim Khojah, Mazen Mohamad, Philipp Leitner +1
cs.SEcs.AIcs.CLarXiv:2404.14901v22024
Transitioning from Real to Synthetic data: Quantifying the bias in model
Aman Gupta, Deepak Bhatt, Anubha Pandey
cs.LGarXiv:2105.04144v12021
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Yaojie Hu, Xingjian Shi, Qiang Zhou +1
cs.LGcs.AIcs.PLarXiv:2204.06643v12022
Learning Deep Semantics for Test Completion
Pengyu Nie, Rahul Banerjee, Junyi Jessy Li +2
cs.SEcs.CLcs.LGarXiv:2302.10166v32023
Push Your Agent: Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents
Yuandao Cai, Yuzhang Zhu, Liyou Gao +2
cs.LGcs.SEarXiv:2605.23574v12026
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
Mirazul Haque, Petr Babkin, Farima Farmahinifarahani +1
cs.LGcs.SEarXiv:2505.04441v12025
HTLM: Hyper-Text Pre-Training and Prompting of Language Models
Armen Aghajanyan, Dmytro Okhonko, Mike Lewis +4
cs.CLcs.LGarXiv:2107.06955v12021
Improving Retrieval for RAG based Question Answering Models on Financial Documents
Spurthi Setty, Harsh Thakkar, Alyssa Lee +2
cs.IRcs.CLcs.LGarXiv:2404.07221v22024
Training and Evaluating a Jupyter Notebook Data Science Assistant
Shubham Chandel, Colin B. Clement, Guillermo Serrato +1
cs.LGcs.SEarXiv:2201.12901v12022
FRANC: A Lightweight Framework for High-Quality Code Generation
Mohammed Latif Siddiq, Beatrice Casey, Joanna C. S. Santos
cs.SEcs.LGarXiv:2307.08220v22023
Brain Tumor Classification Using Deep Learning Technique -- A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes
Ali Mohammad Alqudah, Hiam Alquraan, Isam Abu Qasmieh +2
eess.IVcs.CVcs.LGarXiv:2001.08844v12020
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset
Andrew Goldberg, Kavish Kondap, Tianshuang Qiu +7
cs.ROcs.AIcs.LGarXiv:2409.17126v12024
ViTNT-FIQA: Training-Free Face Image Quality Assessment with Vision Transformers
Guray Ozgur, Eduarda Caldeira, Tahar Chettaoui +4
cs.CVcs.LGarXiv:2601.05741v12026
Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks
Siddhartha Shankar Das, Sai Karthik Navuluru, S M Ferdous +7
cs.LGarXiv:2609.31466v12026
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
Kai Chen, Chunwei Wang, Kuo Yang +11
cs.CLcs.AIcs.LGarXiv:2310.10477v62023
Implicit Neural Representation for Hyperspectral Video Compression
Alfredo Scalera, Paul Murray, Jaime Zabalza
cs.CVcs.AIcs.LGarXiv:2609.31435v12026
Mask-Predict: Parallel Decoding of Conditional Masked Language Models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu +1
cs.CLcs.AIcs.LGarXiv:1904.09324v22019
Infrastructure for Usable Machine Learning: The Stanford DAWN Project
Peter Bailis, Kunle Olukotun, Christopher Re +1
cs.LGcs.DBstat.MLarXiv:1705.07538v22017

Machine Learning

Testing Between the Test Cases: Proving End-to-End Steering in Conditions You Never Drove

ERASE: EaRly bAckpropagation SchEdule for Faster Training of Modern Recommendation Systems

Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense

Reward learning from human preferences and demonstrations in Atari

Improving Molecular-Morphology Contrastive Pretraining using Deep-Learning-based Morphology Profiles

A Brief Survey of Deep Reinforcement Learning

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

LUMO (Lightweight Unified Multilingual Orchestrator): A Privacy Preserving Offline Voice Assistant

Text-to-CadQuery: A New Paradigm for CAD Generation with Scalable Large Model Capabilities

TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks

Heterogeneous Graph Masked Autoencoders

ALF: An Active Learning Framework for Scientific Discovery

Self-Supervised Intrinsic Image Decomposition

Handwritten Digit Leakage from Smartphone Motion Sensors Across Unseen Users and Phone Models

Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer

Environment-Adaptive Preference Optimization for Wildfire Prediction

EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers

Geometry-Aware Optimization for Respiratory Sound Classification: Enhancing Sensitivity with SAM-Optimized Audio Spectrogram Transformers

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Metacognitive Selective Ensemble for Mobile Systems

Named Entity Recognition using Sliding Window Approach

Hybrid Variational Quantum-Classical Framework with Adaptive Weighting and Efficiency Assessment

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Planning to Explore via Self-Supervised World Models

The State of Sparsity in Deep Neural Networks

Beyond Uncertainty: Multi-Solver Disagreement Rewards for Self-Evolving Reasoning Curricula

HoopMind: A Real-Time Neural Game-Tree System for Opponent-Aware Possession Planning

Synth-JEPA: Joint Embedding Prediction for Renderer-Free Synthesizer Parameter Search

Learning Intrinsic Sparse Structures within Long Short-Term Memory

The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving

Self-Supervised Representation Learning: From Spectral Foundation Models to Auroral Emission Spectra

MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics

BAT-CLIP: Trimodal Alignment of Brain, Audio and Text

$\phi$-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation

Open Problems in Engineering Machine Learning Systems and the Quality Model

Better patching using LLM prompting, via Self-Consistency

Reliable, Adaptable, and Attributable Language Models with Retrieval

Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation

Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies

Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks

Teaching Software Engineering for AI-Enabled Systems

Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice

Transitioning from Real to Synthetic data: Quantifying the bias in model

Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar

Learning Deep Semantics for Test Completion

Push Your Agent: Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs

HTLM: Hyper-Text Pre-Training and Prompting of Language Models

Improving Retrieval for RAG based Question Answering Models on Financial Documents

Training and Evaluating a Jupyter Notebook Data Science Assistant

FRANC: A Lightweight Framework for High-Quality Code Generation

Brain Tumor Classification Using Deep Learning Technique -- A Comparison between Cropped, Uncropped, and Segmented Lesion Images with Different Sizes

Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset

ViTNT-FIQA: Training-Free Face Image Quality Assessment with Vision Transformers

Scaffold: Support Graph Theory Based Sparsification for Graph Neural Networks

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis

Implicit Neural Representation for Hyperspectral Video Compression

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Infrastructure for Usable Machine Learning: The Stanford DAWN Project