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.

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1,021 to 1,080 of 20,192

Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
M. Kearns, D. Litman, S. Singh +1
cs.LGcs.AIarXiv:1106.0676v12011
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere, Jie M. Zhang, Francois Charton +3
cs.SEcs.CLcs.LGarXiv:2110.06773v22021
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon +1
cs.LGcs.CVstat.MLarXiv:2110.05025v22021
A Review of Physics-based Machine Learning in Civil Engineering
Shashank Reddy Vadyala, Sai Nethra Betgeri1, John C. Matthews +1
cs.LGcs.AIarXiv:2110.04600v22021
ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization
He-Yen Hsieh, H. T. Kung
cs.LGcs.CLarXiv:2608.11045v12026
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He, Chunting Zhou, Xuezhe Ma +2
cs.CLcs.LGarXiv:2110.04366v32021
LLMs Get Lost in Evolving User Intent
Jihoon Tack, Philippe Laban, Jennifer Neville
cs.LGarXiv:2607.20734v12026
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Xiyue Zhang, Chao Huang, Yong Xu +5
cs.LGcs.AIarXiv:2110.04038v12021
Deep Neural Networks and Tabular Data: A Survey
Vadim Borisov, Tobias Leemann, Kathrin Seßler +3
cs.LGarXiv:2110.01889v32021
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments
Howard Chen, Alane Suhr, Dipendra Misra +2
cs.CVcs.AIcs.CLarXiv:1811.12354v72018
An End-to-End Transformer Model for 3D Object Detection
Ishan Misra, Rohit Girdhar, Armand Joulin
cs.CVcs.AIcs.LGarXiv:2109.08141v12021
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks
Young-Jun Lee, Seungone Kim, Minki Kang +5
cs.CLcs.LGarXiv:2606.29082v12026
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
Titouan Vayer, Laetita Chapel, Rémi Flamary +2
stat.MLcs.LGarXiv:1811.02834v12018
Effective and Efficient Graph Learning for Multi-view Clustering
Quanxue Gao, Wei Xia, Xinbo Gao +3
cs.LGarXiv:2108.06734v22021
REVES: REvision and VErification--Augmented Training for Test-Time Scaling
Yuanxin Liu, Ruida Zhou, Xinyan Zhao +6
cs.LGcs.CLarXiv:2606.18910v12026
Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen, Siva Reddy, Sarath Chandar
cs.CLcs.LGcs.NEarXiv:2108.04840v52021
Fashionable Modelling with Flux
Michael Innes, Elliot Saba, Keno Fischer +6
cs.PLcs.LGarXiv:1811.01457v32018
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis, Chris Paxton, Dieter Fox +2
cs.ROcs.AIcs.CLarXiv:2107.05612v32021
Meta-learning PINN loss functions
Apostolos F Psaros, Kenji Kawaguchi, George Em Karniadakis
cs.LGarXiv:2107.05544v12021
Learning to Delegate for Large-scale Vehicle Routing
Sirui Li, Zhongxia Yan, Cathy Wu
cs.LGcs.AIarXiv:2107.04139v22021
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee, Thalaiyasingam Ajanthan, Philip H. S. Torr
cs.CVcs.LGarXiv:1810.02340v22018
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Deniz Mengu, Yi Luo, Yair Rivenson +1
cs.NEcs.LGphysics.opticsarXiv:1810.01916v42018
The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset
Richard Schwarzkopf, Fabian Immel, Alexander Blumberg +21
cs.CVcs.LGcs.ROarXiv:2606.02956v12026
Scenic: A Language for Scenario Specification and Scene Generation
Daniel J. Fremont, Tommaso Dreossi, Shromona Ghosh +3
cs.PLcs.CVcs.LGarXiv:1809.09310v22018
Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging
Minsik Choi, Geewook Kim
cs.LGarXiv:2606.01717v12026
GANs for Medical Image Analysis
Salome Kazeminia, Christoph Baur, Arjan Kuijper +4
cs.CVcs.LGstat.MLarXiv:1809.06222v32018
Don't Use Large Mini-Batches, Use Local SGD
Tao Lin, Sebastian U. Stich, Kumar Kshitij Patel +1
cs.LGstat.MLarXiv:1808.07217v62018
Summaries:한국어
QuAC : Question Answering in Context
Eunsol Choi, He He, Mohit Iyyer +5
cs.CLcs.AIcs.LGarXiv:1808.07036v32018
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing
Anurag Dwarakanath, Manish Ahuja, Samarth Sikand +4
cs.SEcs.LGarXiv:1808.05353v12018
On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists
Seungone Kim, Dongkeun Yoon, Kiril Gashteovski +55
cs.CLcs.AIcs.LGarXiv:2605.20668v12026
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Minjie Wang, Chien-chin Huang, Jinyang Li
cs.DCcs.LGarXiv:1807.08887v22018
CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves
Amirreza Mohseni, Mona Mohammadi, Morteza Saghafian +1
cs.CVcs.LGarXiv:2605.14068v22026
Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Jindong Wang, Wenjie Feng, Yiqiang Chen +3
cs.CVcs.LGarXiv:1807.07258v22018
IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages
Shubham Kumar Nigam, Suparnojit Sarkar, Piyush Patel
cs.CLcs.AIcs.IRarXiv:2605.13292v12026
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney, Patrick Pantel
cs.CLcs.IRcs.LGarXiv:1003.1141v12010
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa Karimi, Di Wu, Zhangyang Wang +1
q-bio.BMcs.LGstat.MLarXiv:1806.07537v22018
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler
cs.LGcs.NEcs.PLarXiv:1806.07336v32018
AI scientists produce results without reasoning scientifically
Martiño Ríos-García, Nawaf Alampara, Chandan Gupta +5
cs.AIcond-mat.mtrl-scics.LGarXiv:2604.18805v12026
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave, Armand Joulin, Quentin Berthet
cs.LGcs.CLstat.MLarXiv:1805.11222v12018
SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
Binbin Zheng, Xing Ma, Yiheng Liang +6
cs.LGcs.AIcs.CLarXiv:2604.10688v22026
The EuroCity Persons Dataset: A Novel Benchmark for Object Detection
Markus Braun, Sebastian Krebs, Fabian Flohr +1
cs.CVcs.AIcs.LGarXiv:1805.07193v22018
Teaching an Agent to Sketch One Part at a Time
Xiaodan Du, Ruize Xu, David Yunis +2
cs.AIcs.CVcs.GRarXiv:2603.19500v22026
MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language Models
Chen-Hao Chao, Wei-Fang Sun, Junwei Quan +2
cs.LGarXiv:2603.16077v32026
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun +55
cs.LGarXiv:2107.03374v22021
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Hoyle, Pranav Goel, Denis Peskov +3
cs.CLcs.LGarXiv:2107.02173v32021
MixStyle Neural Networks for Domain Generalization and Adaptation
Kaiyang Zhou, Yongxin Yang, Yu Qiao +1
cs.CVcs.AIcs.LGarXiv:2107.02053v22021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Hossein Souri, Liam Fowl, Rama Chellappa +2
cs.LGcs.CRcs.CVarXiv:2106.08970v32021
Thinking Like Transformers
Gail Weiss, Yoav Goldberg, Eran Yahav
cs.LGcs.CLarXiv:2106.06981v22021
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang, Jae Hyun Lim, Aaron Courville
cs.LGarXiv:2106.02808v22021
Anticipative Video Transformer
Rohit Girdhar, Kristen Grauman
cs.CVcs.AIcs.LGarXiv:2106.02036v22021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
Fan Lai, Yinwei Dai, Sanjay S. Singapuram +4
cs.LGcs.AIcs.DCarXiv:2105.11367v52021
GATES: Self-Distillation under Privileged Context with Consensus Gating
Alex Stein, Furong Huang, Tom Goldstein
cs.LGcs.CLarXiv:2602.20574v12026
Intriguing Properties of Vision Transformers
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan +3
cs.CVcs.AIcs.LGarXiv:2105.10497v32021
Measuring Coding Challenge Competence With APPS
Dan Hendrycks, Steven Basart, Saurav Kadavath +8
cs.SEcs.CLcs.LGarXiv:2105.09938v32021
A tutorial on conformal prediction
Glenn Shafer, Vladimir Vovk
cs.LGstat.MLarXiv:0706.3188v12007
Detecting cognitive decline using speech only: The ADReSSo Challenge
Saturnino Luz, Fasih Haider, Sofia de la Fuente +2
eess.AScs.CLcs.LGarXiv:2104.09356v12021
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
Bill Yuchen Lin, Chaoyang He, Zihang Zeng +7
cs.CLcs.AIcs.LGarXiv:2104.08815v32021
Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention
Rakshith Vasudev, Melisa Russak, Dan Bikel +1
cs.CLcs.LGarXiv:2602.03338v12026
Sample Complexity of Multi-task Reinforcement Learning
Emma Brunskill, Lihong Li
cs.LGstat.MLarXiv:1309.6821v12013
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Yunzhen Feng, Julia Kempe, Cheng Zhang +2
cs.LGarXiv:2509.19284v12025

Machine Learning

Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System

Leveraging Automated Unit Tests for Unsupervised Code Translation

Self-supervised Learning is More Robust to Dataset Imbalance

A Review of Physics-based Machine Learning in Civil Engineering

ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization

Towards a Unified View of Parameter-Efficient Transfer Learning

LLMs Get Lost in Evolving User Intent

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Deep Neural Networks and Tabular Data: A Survey

Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

An End-to-End Transformer Model for 3D Object Detection

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties

Effective and Efficient Graph Learning for Multi-view Clustering

REVES: REvision and VErification--Augmented Training for Test-Time Scaling

Post-hoc Interpretability for Neural NLP: A Survey

Fashionable Modelling with Flux

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution

Meta-learning PINN loss functions

Learning to Delegate for Large-scale Vehicle Routing

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks

The Road Ahead in Autonomous Driving: The KITScenes Multimodal Dataset

Scenic: A Language for Scenario Specification and Scene Generation

Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging

GANs for Medical Image Analysis

Don't Use Large Mini-Batches, Use Local SGD

QuAC : Question Answering in Context

Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing

On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists

Supporting Very Large Models using Automatic Dataflow Graph Partitioning

CurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

IndicMedDialog: A Parallel Multi-Turn Medical Dialogue Dataset for Accessible Healthcare in Indic Languages

From Frequency to Meaning: Vector Space Models of Semantics

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

Neural Code Comprehension: A Learnable Representation of Code Semantics

AI scientists produce results without reasoning scientifically

Unsupervised Alignment of Embeddings with Wasserstein Procrustes

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting

The EuroCity Persons Dataset: A Novel Benchmark for Object Detection

Teaching an Agent to Sketch One Part at a Time

MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language Models

Evaluating Large Language Models Trained on Code

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

MixStyle Neural Networks for Domain Generalization and Adaptation

Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch

Thinking Like Transformers

A Variational Perspective on Diffusion-Based Generative Models and Score Matching

Anticipative Video Transformer

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

GATES: Self-Distillation under Privileged Context with Consensus Gating

Intriguing Properties of Vision Transformers

Measuring Coding Challenge Competence With APPS

A tutorial on conformal prediction

Detecting cognitive decline using speech only: The ADReSSo Challenge

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention

Sample Complexity of Multi-task Reinforcement Learning

What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT