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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15,901 to 15,960 of 20,193

What is being transferred in transfer learning?
Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang
cs.LGstat.MLarXiv:2008.11687v22020
Role-Play with Large Language Models
Murray Shanahan, Kyle McDonell, Laria Reynolds
cs.CLcs.AIcs.LGarXiv:2305.16367v12023
Matrix Completion has No Spurious Local Minimum
Rong Ge, Jason D. Lee, Tengyu Ma
cs.LGcs.DSstat.MLarXiv:1605.07272v42016
ResNet strikes back: An improved training procedure in timm
Ross Wightman, Hugo Touvron, Hervé Jégou
cs.CVcs.LGarXiv:2110.00476v12021
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc, Andrea Vedaldi
cs.CVcs.LGcs.NEarXiv:1411.5908v22014
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk, Eibe Frank, Bernhard Pfahringer +1
stat.MLcs.LGarXiv:1804.04368v32018
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen, Jun Gao, Kangxue Yin +2
cs.CVcs.LGarXiv:2111.04276v12021
Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit, Serge Belongie +1
cs.LGcs.AIcs.CVarXiv:1705.10694v32017
Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking
Dexter Wen Jie Teo, Nairouz Shehata, Herve Lombaert
eess.IVcs.CVcs.LGarXiv:2608.23879v12026
Graph Contrastive Learning Automated
Yuning You, Tianlong Chen, Yang Shen +1
cs.LGarXiv:2106.07594v22021
Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu
Farah Adeeba, Miriam Butt
cs.CLcs.LGarXiv:2608.23645v12026
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
Cunjun Yu, Xiao Ma, Jiawei Ren +2
cs.CVcs.LGcs.ROarXiv:2005.08514v22020
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang, Qinghao Ye, Jun Xia
cs.AIcs.CVcs.ITarXiv:2102.01998v12021
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan +3
cs.LGcs.CLq-bio.BMarXiv:2106.09553v32021
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6
cs.CVcs.LGeess.IVarXiv:1909.11573v52019
Revealing the Dark Secrets of BERT
Olga Kovaleva, Alexey Romanov, Anna Rogers +1
cs.CLcs.LGstat.MLarXiv:1908.08593v22019
Graph Representation Learning of Lightweight IoT Ciphers
Jonathan Cook, Sabih ur Rehman, M. Arif Khan
cs.LGcs.CRarXiv:2608.23054v12026
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho, Jie Lei, Hao Tan +1
cs.CLcs.AIcs.CVarXiv:2102.02779v22021
Scaling Reinforcement Learning for Diffusion Models via Velocity Matching
Jaemoo Choi, Wei Guo, Yuchen Zhu +4
cs.CVcs.LGarXiv:2608.23664v12026
Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng +1
cs.ROcs.AIcs.CLarXiv:2210.05714v42022
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir, Tong Zhang
cs.LGmath.OCstat.MLarXiv:1212.1824v22012
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni, Adam Polyak, Oron Ashual +3
cs.CVcs.AIcs.CLarXiv:2203.13131v12022
Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery
Hayat Rajani, Nuno Gracias, Rafael Garcia
cs.CVcs.LGarXiv:2608.24756v12026
Bandit Submodular Maximization under Matroid Constraints: Learning Compressed Exchange Policy
Zongqi Wan, Zhijie Zhang
cs.LGarXiv:2608.24627v12026
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
Ajay Jain, Matthew Tancik, Pieter Abbeel
cs.CVcs.AIcs.GRarXiv:2104.00677v12021
Algorithms for Learning Kernels Based on Centered Alignment
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
cs.LGcs.AIarXiv:1203.0550v32012
Deep Reinforcement Learning in Large Discrete Action Spaces
Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt +7
cs.AIcs.LGcs.NEarXiv:1512.07679v22015
Partial Optimal Transport on the Circle for All Transported Masses in O(N log N)
Soheil Kolouri
cs.LGcs.DSarXiv:2608.23910v12026
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora, Nadav Cohen, Wei Hu +1
cs.LGcs.AIcs.NEarXiv:1905.13655v32019
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock, Soham De, Samuel L. Smith +1
cs.CVcs.LGstat.MLarXiv:2102.06171v12021
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Gasteiger, Florian Becker, Stephan Günnemann
physics.comp-phcs.LGphysics.chem-pharXiv:2106.08903v102021
Complexity-Based Prompting for Multi-Step Reasoning
Yao Fu, Hao Peng, Ashish Sabharwal +2
cs.CLcs.AIcs.LGarXiv:2210.00720v22022
$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions
Victor Medina-Olivares, Stefan Lessmann, Jonathan Crook
stat.MLcs.AIcs.LGarXiv:2608.24582v12026
FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment
Xitong Zeng, Zhaoge Bi, Yitian Yang +2
cs.LGcs.AIarXiv:2608.24551v12026
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang, Xingjian Shi, Junyuan Xie +3
cs.LGcs.SIarXiv:1803.07294v12018
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh +4
cs.LGarXiv:2401.18079v62024
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus, Mateo Rojas-Carulla, Giambattista Parascandolo +3
stat.MLcs.CYcs.LGarXiv:1706.02744v22017
Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency
Brian Zhu, Momen Khalil, E Harrison +17
cs.ROcs.LGarXiv:2608.23831v12026
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu, Xuezhe Ma, Zhengzhong Liu +2
cs.LGcs.AIcs.CLarXiv:1603.06318v62016
Provably adaptive sampling with uniform and remasking discrete diffusion models
Daniil Dmitriev, Zhihan Huang, Yuting Wei
cs.LGcs.ITmath.STarXiv:2608.23554v12026
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna Choromanska, Yann LeCun
cs.LGstat.MLarXiv:1412.6651v82014
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan, Mor Katz +16
cs.LGcs.CLcs.CVarXiv:2010.14701v22020
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach +3
stat.MLcs.LGarXiv:2304.08424v52023
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
stat.MLcs.LGstat.MEarXiv:1307.1493v22013
Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations
Sohini Gupta, Bahareh Tolooshams
cs.LGcs.AIarXiv:2608.24762v12026
Constrained Hyperparameter Optimization for Streaming Data
Bruno Veloso, João Gama
cs.LGcs.AIarXiv:2608.24712v12026
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research
Matthias Plappert, Marcin Andrychowicz, Alex Ray +9
cs.LGcs.AIcs.ROarXiv:1802.09464v22018
Applications of deep learning in stock market prediction: recent progress
Weiwei Jiang
q-fin.STcs.LGarXiv:2003.01859v12020
All are Worth Words: A ViT Backbone for Diffusion Models
Fan Bao, Shen Nie, Kaiwen Xue +4
cs.CVcs.AIcs.LGarXiv:2209.12152v42022
On the Identifiability of the Post-Nonlinear Causal Model
Kun Zhang, Aapo Hyvarinen
stat.MLcs.LGarXiv:1205.2599v12012
Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets
Meghal Dani, Stefanie Liebe
cs.LGcs.AIarXiv:2608.24727v12026
Explainable deep learning models in medical image analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
cs.CVcs.LGeess.IVarXiv:2005.13799v12020
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
cs.LGcs.NEstat.MLarXiv:1901.10738v42019
Why does deep and cheap learning work so well?
Henry W. Lin, Max Tegmark, David Rolnick
cond-mat.dis-nncs.LGcs.NEarXiv:1608.08225v42016
Across the Loss Landscape with Progressive Growth
Paul Caillon, Christophe Cerisara, Alexandre Allauzen
cs.LGcs.AIarXiv:2608.24568v12026
Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis
Cyrus Mexon Evrard Djindot, Faliang Liu, Sylvain Laborde +6
physics.med-phcs.LGcs.SEarXiv:2608.24241v12026
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramer, Nicholas Carlini +1
cs.CRcs.LGstat.MLarXiv:2007.14321v32020
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth +6
cs.LGcs.CRstat.MLarXiv:1810.12715v42018
A Generative Model for Inverse Design of Metamaterials
Zhaocheng Liu, Dayu Zhu, Sean P. Rodrigues +2
physics.opticscs.LGphysics.comp-pharXiv:1805.10181v12018
On the Sample Complexity of the Linear Quadratic Regulator
Sarah Dean, Horia Mania, Nikolai Matni +2
math.OCcs.LGstat.MLarXiv:1710.01688v32017

Machine Learning

What is being transferred in transfer learning?

Role-Play with Large Language Models

Matrix Completion has No Spurious Local Minimum

ResNet strikes back: An improved training procedure in timm

Understanding image representations by measuring their equivariance and equivalence

Regularisation of Neural Networks by Enforcing Lipschitz Continuity

Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis

Deep Learning is Robust to Massive Label Noise

Spatiotemporal Distillation via Recurrent Bottlenecks for Aortic Tracking

Graph Contrastive Learning Automated

Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond

Large-Scale Chemical Language Representations Capture Molecular Structure and Properties

Deep Learning for Deepfakes Creation and Detection: A Survey

Revealing the Dark Secrets of BERT

Graph Representation Learning of Lightweight IoT Ciphers

Unifying Vision-and-Language Tasks via Text Generation

Scaling Reinforcement Learning for Diffusion Models via Velocity Matching

Visual Language Maps for Robot Navigation

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Weakly Supervised Seafloor Segmentation for Seagrass Habitat Mapping in Side-Scan Sonar Imagery

Bandit Submodular Maximization under Matroid Constraints: Learning Compressed Exchange Policy

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

Algorithms for Learning Kernels Based on Centered Alignment

Deep Reinforcement Learning in Large Discrete Action Spaces

Partial Optimal Transport on the Circle for All Transported Masses in O(N log N)

Implicit Regularization in Deep Matrix Factorization

High-Performance Large-Scale Image Recognition Without Normalization

GemNet: Universal Directional Graph Neural Networks for Molecules

Complexity-Based Prompting for Multi-Step Reasoning

$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions

FraudBench: Protocol-Sensitive Benchmarking of Adversarial Robustness for Financial Risk Assessment

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Avoiding Discrimination through Causal Reasoning

Learning to Act While Waiting: RL Finetuning of Generalist Robot Policies Under Inference Latency

Harnessing Deep Neural Networks with Logic Rules

Provably adaptive sampling with uniform and remasking discrete diffusion models

Deep learning with Elastic Averaging SGD

Scaling Laws for Autoregressive Generative Modeling

Long-term Forecasting with TiDE: Time-series Dense Encoder

Dropout Training as Adaptive Regularization

Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations

Constrained Hyperparameter Optimization for Streaming Data

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Applications of deep learning in stock market prediction: recent progress

All are Worth Words: A ViT Backbone for Diffusion Models

On the Identifiability of the Post-Nonlinear Causal Model

Parameter-Efficient Self-Supervised Adaptation for EEG-FM under Fixed Computational Budgets

Explainable deep learning models in medical image analysis

Unsupervised Scalable Representation Learning for Multivariate Time Series

Why does deep and cheap learning work so well?

Across the Loss Landscape with Progressive Growth

Validation of HRV Studio: A Transparent and Quality-Control-Aware Platform for Heart Rate Variability Analysis

Label-Only Membership Inference Attacks

On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

A Generative Model for Inverse Design of Metamaterials

On the Sample Complexity of the Linear Quadratic Regulator