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)

961 to 1,020 of 20,151

SGHA: Evidence-Grounded Research Problem Discovery with Local Language Models
Sarvesh Gharat, Junpei Komiyama
cs.AIcs.LGarXiv:2608.17501v12026
Competition-Level Code Generation with AlphaCode
Yujia Li, David Choi, Junyoung Chung +23
cs.PLcs.AIcs.LGarXiv:2203.07814v12022
Pathology Transport: Optimal-Transport Explanations for Clinical Data, and When Their Heatmaps (Fail to) Localize Disease
Lalit Kumar
cs.LGarXiv:2608.17370v12026
Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?
Alexander Y. Sun, Bridget R. Scanlon, Zizhan Zhang +4
physics.geo-phcs.LGstat.MLarXiv:1902.01933v12019
Global Simulation-Guided Dynamic Operator Scheduling for Efficient Multi-Tenant Model Serving
Weinan Liu, Zeyuan Ding, Dian Ding +5
cs.OScs.DCcs.LGarXiv:2608.15762v12026
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges
Dimitrios Kollias
cs.CVcs.LGarXiv:2202.10659v22022
Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitian Wu, Hengrui Zhang, Junchi Yan +1
cs.LGcs.AIarXiv:2202.02466v52022
Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy +4
cs.ROcs.LGstat.MLarXiv:1901.08652v12019
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar, Rene Vidal
cs.CVcs.IRcs.ITarXiv:1203.1005v32012
Generalized Fisher Score for Feature Selection
Quanquan Gu, Zhenhui Li, Jiawei Han
cs.LGstat.MLarXiv:1202.3725v12012
Practical Lossless Compression with Latent Variables using Bits Back Coding
James Townsend, Tom Bird, David Barber
cs.LGcs.AIcs.ITarXiv:1901.04866v12019
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia +3
cs.LGcs.AIcs.NEarXiv:1901.02358v12019
Patches Are All You Need?
Asher Trockman, J. Zico Kolter
cs.CVcs.AIcs.LGarXiv:2201.09792v12022
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak +1
cs.LGcs.AIcs.CLarXiv:2201.07207v22022
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou, Ganqu Cui, Shengding Hu +6
cs.LGcs.AIstat.MLarXiv:1812.08434v62018
Statistical Topic Models for Multi-Label Document Classification
Timothy N. Rubin, America Chambers, Padhraic Smyth +1
stat.MLcs.LGarXiv:1107.2462v22011
Synthetic Persona Pretraining: Alignment from Token Zero
Julian Minder, Viktor Moskvoretskii, Raghav Singhal +12
cs.LGcs.AIcs.CLarXiv:2608.13482v12026
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri
cs.CVcs.LGarXiv:2111.00298v12021
Improving Robustness using Generated Data
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles +3
cs.LGcs.CVstat.MLarXiv:2110.09468v22021
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

Machine Learning

SGHA: Evidence-Grounded Research Problem Discovery with Local Language Models

Competition-Level Code Generation with AlphaCode

Pathology Transport: Optimal-Transport Explanations for Clinical Data, and When Their Heatmaps (Fail to) Localize Disease

Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?

Global Simulation-Guided Dynamic Operator Scheduling for Efficient Multi-Tenant Model Serving

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

Handling Distribution Shifts on Graphs: An Invariance Perspective

Learning agile and dynamic motor skills for legged robots

Sparse Subspace Clustering: Algorithm, Theory, and Applications

Generalized Fisher Score for Feature Selection

Practical Lossless Compression with Latent Variables using Bits Back Coding

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Patches Are All You Need?

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Graph Neural Networks: A Review of Methods and Applications

Statistical Topic Models for Multi-Label Document Classification

Synthetic Persona Pretraining: Alignment from Token Zero

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network

Improving Robustness using Generated Data

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