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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20,881 to 20,940 of 33,355

Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales
Dapeng Feng, Kuai Fang, Chaopeng Shen
cs.LGstat.MLarXiv:1912.08949v32019
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey Ignatov, Radu Timofte, Andrei Kulik +6
cs.PFcs.LGarXiv:1910.06663v12019
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Dominik Müller, Frank Kramer
eess.IVcs.CVcs.LGarXiv:1910.09308v12019
Hello Edge: Keyword Spotting on Microcontrollers
Yundong Zhang, Naveen Suda, Liangzhen Lai +1
cs.SDcs.CLcs.LGarXiv:1711.07128v32017
Latent Video Transformer
Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov +2
cs.CVcs.LGeess.IVarXiv:2006.10704v12020
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester +1
cs.LGarXiv:1706.08947v22017
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling +3
cs.CLcs.LGarXiv:1910.08350v22019
Sampling Can Be Faster Than Optimization
Yi-An Ma, Yuansi Chen, Chi Jin +2
stat.MLcs.LGarXiv:1811.08413v22018
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan +11
cs.LGcs.AIcs.PFarXiv:2303.06865v22023
Unsupervised Image Regression for Heterogeneous Change Detection
Luigi T. Luppino, Filippo M. Bianchi, Gabriele Moser +1
cs.CVcs.LGeess.IVarXiv:1909.05948v12019
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
Fangting Xia, Peng Wang, Liang-Chieh Chen +1
cs.CVcs.LGarXiv:1511.06881v52015
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals, Timo Ewalds, Sergey Bartunov +22
cs.LGcs.AIarXiv:1708.04782v12017
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro
stat.MLcs.LGmath.OCarXiv:1605.07221v22016
Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz +16
cs.LGcs.AIcs.CVarXiv:1910.07113v12019
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
Yide Zhang, Yinhao Zhu, Evan Nichols +4
cs.CVcs.LGeess.IVarXiv:1812.10366v22018
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen, Zhen Dong, Jiayu Ye +5
cs.CLcs.LGarXiv:1909.05840v22019
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
Nikolaos Karalias, Andreas Loukas
cs.LGstat.MLarXiv:2006.10643v42020
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Zangwei Zheng, Mingyuan Ma, Kai Wang +3
cs.CVcs.LGarXiv:2303.06628v22023
Characterizing Audio Adversarial Examples Using Temporal Dependency
Zhuolin Yang, Bo Li, Pin-Yu Chen +1
cs.LGcs.AIcs.CRarXiv:1809.10875v22018
Model Fusion via Optimal Transport
Sidak Pal Singh, Martin Jaggi
cs.LGstat.MLarXiv:1910.05653v62019
HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care
Yuchen Niu, Yanan Ma, Srinivasan Nandakumar +7
cs.LGarXiv:2609.06976v12026
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
Michael P. Kim, Amirata Ghorbani, James Zou
cs.LGstat.MLarXiv:1805.12317v22018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhao Zhong, Zichen Yang, Boyang Deng +4
cs.CVcs.LGarXiv:1808.05584v12018
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang, Yozen Liu, Yizhou Sun +1
cs.LGcs.AIarXiv:2110.08727v22021
Bag-of-Words Representation for Biomedical Time Series Classification
Jin Wang, Ping Liu, Mary F. H. She +2
cs.LGcs.AIarXiv:1212.2262v12012
Is Q-learning Provably Efficient?
Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck +1
cs.LGcs.AImath.OCarXiv:1807.03765v12018
Le Critique: Privileged Value Functions for LLM Reinforcement Learning
Siddarth Venkatraman, Matthieu Dinot, Laurence Aitchison
cs.LGarXiv:2608.16739v12026
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
Erdem Bıyık, Malayandi Palan, Nicholas C. Landolfi +2
cs.ROcs.AIcs.LGarXiv:1910.04365v12019
ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning
Sungmin Kang, Zhengzhong Tu, Sunwoo Lee
cs.LGarXiv:2609.38833v12026
Infinite attention: NNGP and NTK for deep attention networks
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein +1
stat.MLcs.LGarXiv:2006.10540v12020
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
cs.LGstat.MLarXiv:2008.10150v22020
A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks
Chongzhi Wu, Zhengtao Li, Jiawen Kang +4
cs.NIcs.LGarXiv:2608.29255v12026
Anticipating cryptocurrency prices using machine learning
Laura Alessandretti, Abeer ElBahrawy, Luca Maria Aiello +1
physics.soc-phcs.LGq-fin.GNarXiv:1805.08550v42018
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran +2
cs.LGarXiv:2303.06471v32023
EncoTESS: Age-Sensitive Encodings from Raw TESS Light Curves
Phil R. Van-Lane, Joshua S. Speagle, Ryan Cloutier +3
astro-ph.SRastro-ph.GAastro-ph.IMarXiv:2608.25019v12026
MLPerf Training Benchmark
Peter Mattson, Christine Cheng, Cody Coleman +34
cs.LGcs.PFstat.MLarXiv:1910.01500v32019
Private Selection from Private Candidates
Jingcheng Liu, Kunal Talwar
cs.DScs.CRcs.LGarXiv:1811.07971v12018
A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright +1
math.OCcs.AIcs.LGarXiv:2301.10945v12023
End-to-End Training of Deep Visuomotor Policies
Sergey Levine, Chelsea Finn, Trevor Darrell +1
cs.LGcs.CVcs.ROarXiv:1504.00702v52015
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi +40
cs.LGcs.CLarXiv:2412.04626v22024
Diffusion Improves Graph Learning
Johannes Gasteiger, Stefan Weißenberger, Stephan Günnemann
cs.SIcs.AIcs.LGarXiv:1911.05485v62019
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He +3
cs.LGarXiv:1708.04617v12017
Trellis Networks for Sequence Modeling
Shaojie Bai, J. Zico Kolter, Vladlen Koltun
cs.LGcs.AIcs.CLarXiv:1810.06682v22018
Concurrent Split Learning Through Stable Client Clustering
Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink
cs.DCcs.LGarXiv:2609.29395v12026
Relational Graph Learning for Crowd Navigation
Changan Chen, Sha Hu, Payam Nikdel +2
cs.ROcs.AIcs.LGarXiv:1909.13165v32019
Neuromotor Hierarchy Network: Physiological Inductive Biases for Robust Generalization in sEMG Decoding
He Wang, Hongyuan Qi, Zhaoxian Zhang +4
cs.LGarXiv:2610.07713v12026
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
cs.LGcs.AIcs.CVarXiv:2303.05754v32023
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Bastian Rieck, Matteo Togninalli, Christian Bock +4
cs.LGmath.ATstat.MLarXiv:1812.09764v32018
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Wengong Jin, Siranush Sarkizova, Xun Chen +2
q-bio.BMcs.LGarXiv:2301.10814v22023
Query-Efficient Imitation Learning for End-to-End Autonomous Driving
Jiakai Zhang, Kyunghyun Cho
cs.LGcs.AIcs.ROarXiv:1605.06450v12016
Partial Label Learning with Self-Guided Retraining
Lei Feng, Bo An
cs.LGstat.MLarXiv:1902.03045v12019
BLADE: Bilevel Low-rank Augmented-Lagrangian Erasure for LLM Unlearning
Md Toufikuzzaman, Ahmad Mousavi, Dongwon Lee
cs.LGcs.AIcs.CLarXiv:2608.22557v12026
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang, Kihyuk Sohn, Diogo Almeida +1
cs.LGcs.CVarXiv:1603.05201v22016
Uncovering Latent Reasoning Strategies in Language Models
Awni Altabaa, John Lafferty
cs.LGcs.AIarXiv:2607.17674v12026
The Blessings of Multiple Causes
Yixin Wang, David M. Blei
stat.MLcs.LGstat.MEarXiv:1805.06826v32018
CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding
Wissam Ghantous, Alexander V. Mantzaris
cs.CRcs.AIcs.LGarXiv:2609.10744v12026
Fair Adversarial Gradient Tree Boosting
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
cs.LGcs.AIcs.CYarXiv:1911.05369v22019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal +1
cs.LGcs.CVcs.ROarXiv:1910.05449v12019
Video Generative Adversarial Networks: A Review
Nuha Aldausari, Arcot Sowmya, Nadine Marcus +1
cs.CVcs.LGeess.IVarXiv:2011.02250v12020
Active Learning for Nonlinear System Identification with Guarantees
Horia Mania, Michael I. Jordan, Benjamin Recht
stat.MLcs.LGmath.OCarXiv:2006.10277v12020

Machine Learning

Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales

AI Benchmark: All About Deep Learning on Smartphones in 2019

MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Hello Edge: Keyword Spotting on Microcontrollers

Latent Video Transformer

Exploring Generalization in Deep Learning

A Mutual Information Maximization Perspective of Language Representation Learning

Sampling Can Be Faster Than Optimization

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Unsupervised Image Regression for Heterogeneous Change Detection

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net

StarCraft II: A New Challenge for Reinforcement Learning

Global Optimality of Local Search for Low Rank Matrix Recovery

Solving Rubik's Cube with a Robot Hand

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

Characterizing Audio Adversarial Examples Using Temporal Dependency

Model Fusion via Optimal Transport

HealthLoopQA: A Context-Aware Question Answering Benchmark for Interpreting Wearable Monitoring Data in Diabetes Care

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

BlockQNN: Efficient Block-wise Neural Network Architecture Generation

Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

Bag-of-Words Representation for Biomedical Time Series Classification

Is Q-learning Provably Efficient?

Le Critique: Privileged Value Functions for LLM Reinforcement Learning

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning

Infinite attention: NNGP and NTK for deep attention networks

Contrastive learning, multi-view redundancy, and linear models

A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks

Anticipating cryptocurrency prices using machine learning

Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review

EncoTESS: Age-Sensitive Encodings from Raw TESS Light Curves

MLPerf Training Benchmark

Private Selection from Private Candidates

A Fully First-Order Method for Stochastic Bilevel Optimization

End-to-End Training of Deep Visuomotor Policies

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks

Diffusion Improves Graph Learning

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Trellis Networks for Sequence Modeling

Concurrent Split Learning Through Stable Client Clustering

Relational Graph Learning for Crowd Navigation

Neuromotor Hierarchy Network: Physiological Inductive Biases for Robust Generalization in sEMG Decoding

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology

Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation

Query-Efficient Imitation Learning for End-to-End Autonomous Driving

Partial Label Learning with Self-Guided Retraining

BLADE: Bilevel Low-rank Augmented-Lagrangian Erasure for LLM Unlearning

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units

Uncovering Latent Reasoning Strategies in Language Models

The Blessings of Multiple Causes

CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding

Fair Adversarial Gradient Tree Boosting

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Video Generative Adversarial Networks: A Review

Active Learning for Nonlinear System Identification with Guarantees