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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17,821 to 17,880 of 20,454

Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang
stat.MLcs.LGarXiv:1911.00068v62019
Towards a Human-like Open-Domain Chatbot
Daniel Adiwardana, Minh-Thang Luong, David R. So +8
cs.CLcs.LGcs.NEarXiv:2001.09977v32020
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Jingcheng Hu, Yinmin Zhang, Shijie Shang +17
cs.LGarXiv:2601.05593v12026
AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
Xianyang Liu, Shangding Gu, Dawn Song
cs.AIcs.LGarXiv:2602.06008v12026
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun, Jordan Hoffmann, Vikas Verma +1
cs.LGcs.AIstat.MLarXiv:1908.01000v32019
On Lazy Training in Differentiable Programming
Lenaic Chizat, Edouard Oyallon, Francis Bach
math.OCcs.LGarXiv:1812.07956v52018
Long-tail learning via logit adjustment
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat +3
cs.LGstat.MLarXiv:2007.07314v22020
An Algorithmic Perspective on Imitation Learning
Takayuki Osa, Joni Pajarinen, Gerhard Neumann +3
cs.ROcs.LGarXiv:1811.06711v12018
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou
cs.LGcs.DCarXiv:2105.10056v22021
fastai: A Layered API for Deep Learning
Jeremy Howard, Sylvain Gugger
cs.LGcs.CVcs.NEarXiv:2002.04688v22020
On Detecting Adversarial Perturbations
Jan Hendrik Metzen, Tim Genewein, Volker Fischer +1
stat.MLcs.AIcs.CVarXiv:1702.04267v22017
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy +2
cs.LGstat.MLarXiv:1906.03671v22019
Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data
Emre Can Acikgoz, Cheng Qian, Jonas Hübotter +3
cs.LGarXiv:2602.21320v12026
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso, Wenqi Li, Richard Brown +54
cs.LGcs.AIcs.CVarXiv:2211.02701v12022
Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts
Yingfa Chen, Zhen Leng Thai, Zihan Zhou +6
cs.CLcs.AIcs.LGarXiv:2601.22156v12026
On Evaluation of Embodied Navigation Agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot +8
cs.AIcs.CVcs.LGarXiv:1807.06757v12018
Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning
Shaotian Yan, Kaiyuan Liu, Chen Shen +6
cs.LGcs.CLarXiv:2601.09088v12026
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Yu Zeng, Wenxuan Huang, Zhen Fang +14
cs.CVcs.AIcs.CLarXiv:2602.02185v22026
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans, Andrej Karpathy, Xi Chen +1
cs.LGstat.MLarXiv:1701.05517v12017
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin, David Hoeller, Philipp Reist +1
cs.ROcs.LGarXiv:2109.11978v32021
Implicit Geometric Regularization for Learning Shapes
Amos Gropp, Lior Yariv, Niv Haim +2
cs.LGcs.CVcs.GRarXiv:2002.10099v22020
Deep Learning Scaling is Predictable, Empirically
Joel Hestness, Sharan Narang, Newsha Ardalani +6
cs.LGstat.MLarXiv:1712.00409v12017
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Rex Ying +2
cs.LGcs.AIstat.MLarXiv:1806.02473v32018
Fair Resource Allocation in Federated Learning
Tian Li, Maziar Sanjabi, Ahmad Beirami +1
cs.LGstat.MLarXiv:1905.10497v22019
Look, Listen and Learn
Relja Arandjelović, Andrew Zisserman
cs.CVcs.LGarXiv:1705.08168v22017
Unsupervised Cross-lingual Representation Learning for Speech Recognition
Alexis Conneau, Alexei Baevski, Ronan Collobert +2
cs.CLcs.LGcs.SDarXiv:2006.13979v22020
MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
Zongxia Li, Hongyang Du, Chengsong Huang +8
cs.CVcs.LGarXiv:2603.09206v12026
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng, Sheng-jun Huang, Songcan Chen
cs.LGstat.MLarXiv:1811.08581v42018
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh +6
cs.CLcs.AIcs.LGarXiv:2305.02301v22023
Order Matters: Sequence to sequence for sets
Oriol Vinyals, Samy Bengio, Manjunath Kudlur
stat.MLcs.CLcs.LGarXiv:1511.06391v42015
Instruction-Following Evaluation for Large Language Models
Jeffrey Zhou, Tianjian Lu, Swaroop Mishra +5
cs.CLcs.AIcs.LGarXiv:2311.07911v12023
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang, Raman Arora, Karen Livescu +1
cs.LGarXiv:1602.01024v12016
Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud, Ryan P. Adams
stat.MLcs.LGarXiv:1502.03492v32015
PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence
Yuanda Xu, Hejian Sang, Zhengze Zhou +2
cs.AIcs.LGarXiv:2603.11178v32026
Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?
Pingyue Zhang, Zihan Huang, Yue Wang +11
cs.AIcs.CLcs.LGarXiv:2602.07055v12026
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff +4
cs.CVcs.LGarXiv:1901.02985v22019
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie +2
cs.CLcs.LGcs.NEarXiv:2005.12833v12020
On Variational Bounds of Mutual Information
Ben Poole, Sherjil Ozair, Aaron van den Oord +2
cs.LGstat.MLarXiv:1905.06922v12019
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu, Wenxiao Chen, Nengwen Zhao +10
cs.LGstat.MLarXiv:1802.03903v12018
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
cs.LGcs.AIcs.MAarXiv:1812.11794v22018
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Rosanne Liu, Joel Lehman, Piero Molino +4
cs.CVcs.LGstat.MLarXiv:1807.03247v22018
Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki +4
stat.MLcs.LGarXiv:1805.06370v22018
A Survey of Machine Learning for Big Code and Naturalness
Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu +1
cs.SEcs.LGcs.PLarXiv:1709.06182v22017
Deep Learning vs. Traditional Computer Vision
Niall O' Mahony, Sean Campbell, Anderson Carvalho +5
cs.CVcs.LGarXiv:1910.13796v12019
Domain Generalization with MixStyle
Kaiyang Zhou, Yongxin Yang, Yu Qiao +1
cs.CVcs.LGarXiv:2104.02008v12021
Self-Hinting Language Models Enhance Reinforcement Learning
Baohao Liao, Hanze Dong, Xinxing Xu +2
cs.LGcs.AIcs.CLarXiv:2602.03143v12026
Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders
Amandeep Kumar, Vishal M. Patel
cs.LGcs.CVarXiv:2602.10099v22026
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg +2
cs.LGcs.CVcs.NEarXiv:1406.6909v22014
The Hidden Vulnerability of Distributed Learning in Byzantium
El Mahdi El Mhamdi, Rachid Guerraoui, Sébastien Rouault
stat.MLcs.CRcs.DCarXiv:1802.07927v22018
Unified Latents (UL): How to train your latents
Jonathan Heek, Emiel Hoogeboom, Thomas Mensink +1
cs.LGcs.CVarXiv:2602.17270v12026
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu +4
cs.CVcs.AIcs.LGarXiv:2601.09708v22026
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han, Chao Gao, Jinyang Liu +2
cs.LGarXiv:2403.14608v72024
COVID-19 Image Data Collection
Joseph Paul Cohen, Paul Morrison, Lan Dao
eess.IVcs.CVcs.LGarXiv:2003.11597v12020
Neural Spline Flows
Conor Durkan, Artur Bekasov, Iain Murray +1
stat.MLcs.LGarXiv:1906.04032v22019
Evaluating Protein Transfer Learning with TAPE
Roshan Rao, Nicholas Bhattacharya, Neil Thomas +5
cs.LGq-bio.BMstat.MLarXiv:1906.08230v12019
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
Chelsea Finn, Sergey Levine, Pieter Abbeel
cs.LGcs.AIcs.ROarXiv:1603.00448v32016
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang +7
cs.NEcs.LGarXiv:1705.09792v42017
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang, Chen Wang, Ruohan Zhang +3
cs.ROcs.AIcs.CLarXiv:2307.05973v22023
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Shobhita Sundaram, John Quan, Ariel Kwiatkowski +3
cs.LGcs.CLarXiv:2601.18778v32026
MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use
Mengru Wang, Haozhe Luo, Zhenqian Xu +6
cs.AIcs.CLcs.CYarXiv:2608.20202v12026

Machine Learning

Confident Learning: Estimating Uncertainty in Dataset Labels

Towards a Human-like Open-Domain Chatbot

PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning

AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

On Lazy Training in Differentiable Programming

Long-tail learning via logit adjustment

An Algorithmic Perspective on Imitation Learning

Data-Free Knowledge Distillation for Heterogeneous Federated Learning

fastai: A Layered API for Deep Learning

On Detecting Adversarial Perturbations

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data

MONAI: An open-source framework for deep learning in healthcare

Hybrid Linear Attention Done Right: Efficient Distillation and Effective Architectures for Extremely Long Contexts

On Evaluation of Embodied Navigation Agents

Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

Implicit Geometric Regularization for Learning Shapes

Deep Learning Scaling is Predictable, Empirically

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

Fair Resource Allocation in Federated Learning

Look, Listen and Learn

Unsupervised Cross-lingual Representation Learning for Speech Recognition

MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data

Recent Advances in Open Set Recognition: A Survey

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Order Matters: Sequence to sequence for sets

Instruction-Following Evaluation for Large Language Models

On Deep Multi-View Representation Learning: Objectives and Optimization

Gradient-based Hyperparameter Optimization through Reversible Learning

PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction

On Variational Bounds of Mutual Information

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Progress & Compress: A scalable framework for continual learning

A Survey of Machine Learning for Big Code and Naturalness

Deep Learning vs. Traditional Computer Vision

Domain Generalization with MixStyle

Self-Hinting Language Models Enhance Reinforcement Learning

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

The Hidden Vulnerability of Distributed Learning in Byzantium

Unified Latents (UL): How to train your latents

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

COVID-19 Image Data Collection

Neural Spline Flows

Evaluating Protein Transfer Learning with TAPE

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization

Deep Complex Networks

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use