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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23,341 to 23,400 of 33,219

PACT: From Credit Assignment to Critic Alignment
Jiayan Fu, Hang Xu, Yong Zhang +4
cs.LGcs.AIarXiv:2609.26355v12026
One-Class Adversarial Nets for Fraud Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu +2
cs.LGcs.AIcs.CRarXiv:1803.01798v22018
When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models
Sai Kartheek Reddy Kasu, Nils Lukas, Samuele Poppi
cs.AIcs.CLcs.LGarXiv:2606.10740v22026
Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
Oskar J. Hollinsworth, Alex F. Spies, Tigist Diriba +2
cs.LGcs.AIarXiv:2610.12445v12026
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant, Chelsea Finn, Sergey Levine +2
cs.LGarXiv:1801.08930v12018
Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization
Jiayi Dan, Bo Li, Lu Deng +1
cs.LGarXiv:2608.13461v12026
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik +2
cs.LGcs.CVarXiv:2308.16316v12023
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao +4
cs.LGcs.AIcs.CVarXiv:2103.12308v12021
Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo, Xiaodong Liu, Jian Jiao +5
cs.CLcs.LGarXiv:2110.04260v32021
Augmenting Self-attention with Persistent Memory
Sainbayar Sukhbaatar, Edouard Grave, Guillaume Lample +2
cs.LGcs.CLstat.MLarXiv:1907.01470v12019
Machine Unlearning of Pre-trained Large Language Models
Jin Yao, Eli Chien, Minxin Du +4
cs.CLcs.AIcs.CRarXiv:2402.15159v32024
Dataset Distillation: A Comprehensive Review
Ruonan Yu, Songhua Liu, Xinchao Wang
cs.LGarXiv:2301.07014v32023
The Alignment Problem in Constrained Code Generation
Matteo Biagiola, Jahrim Gabriele Cesario, Luca Di Grazia +2
cs.SEcs.LGcs.PLarXiv:2606.21619v12026
Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces
William Lugoloobi, Samuelle Marro, Jabez Magomere +2
cs.CRcs.AIcs.HCarXiv:2605.14786v12026
Exploratory Combinatorial Optimization with Reinforcement Learning
Thomas D. Barrett, William R. Clements, Jakob N. Foerster +1
cs.LGcs.AIstat.MLarXiv:1909.04063v22019
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Joe Stacey, Pasquale Minervini, Haim Dubossarsky +2
cs.LGcs.AIcs.CLarXiv:2004.07790v52020
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction
Inhwan Bae, Junoh Lee, Hae-Gon Jeon
cs.CLcs.CVcs.LGarXiv:2403.18447v12024
Irreducible Curriculum for Language Model Pretraining
Simin Fan, Martin Jaggi
cs.CLcs.AIcs.LGarXiv:2310.15389v12023
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
cs.LGcs.AIstat.MLarXiv:1605.05273v42016
3D Neural Scene Representations for Visuomotor Control
Yunzhu Li, Shuang Li, Vincent Sitzmann +2
cs.ROcs.CVcs.LGarXiv:2107.04004v22021
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd, Emma C Robinson, Bernhard Kainz
cs.LGcs.CVcs.HCarXiv:1910.02923v22019
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns, Seth Neel, Aaron Roth +1
cs.LGcs.DScs.GTarXiv:1711.05144v52017
Closed-form Continuous-time Neural Models
Ramin Hasani, Mathias Lechner, Alexander Amini +5
cs.LGcs.AIcs.NEarXiv:2106.13898v22021
Experiments of Federated Learning for COVID-19 Chest X-ray Images
Boyi Liu, Bingjie Yan, Yize Zhou +2
eess.IVcs.CVcs.LGarXiv:2007.05592v12020
FAITH: Feasibility-Aware Safety-Filtered RL for High-Dimensional Systems
Songyuan Zhang, Baljeet Singh, Sarthak Ranjeet Kaingade +2
cs.ROcs.LGcs.SYarXiv:2610.12432v12026
Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks
Sunil Pai, Zhanghao Sun, Tyler W. Hughes +11
cs.ETcs.LGphysics.opticsarXiv:2205.08501v12022
Toward Joint Optimization of Circuit Depth and Training Data Size in Adaptively Grown Quantum Classifiers
Saeefa Rubaiyet Nowmi, Md Mahmuduzzaman Kamol, Mohammad Saidur Rahman
quant-phcs.LGarXiv:2610.12428v12026
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
Damien Teney, Kushal Kafle, Robik Shrestha +3
cs.CVcs.LGarXiv:2005.09241v12020
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy Phan, Fernando Andreotti, Navin Cooray +2
cs.LGeess.SPstat.MLarXiv:1809.10932v32018
GRAPE: Gradient Refinement and Progress-Aware Exploitation for Query-Efficient High-Dimensional Bayesian Optimization
Richard Cornelius Suwandi, Feng Yin
cs.LGcs.AIstat.MLarXiv:2608.25116v12026
Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
cs.LGcs.AIstat.MLarXiv:1905.12588v22019
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch, Peter J. Liu, Bin Yu
cs.CLcs.LGstat.MLarXiv:1801.05453v22018
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin, Samuel Yu, Zhiyi Kuang +2
cs.CVcs.AIcs.LGarXiv:2301.06267v52023
Provably efficient RL with Rich Observations via Latent State Decoding
Simon S. Du, Akshay Krishnamurthy, Nan Jiang +3
cs.LGstat.MLarXiv:1901.09018v32019
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Chenglei Si, Diyi Yang, Tatsunori Hashimoto
cs.CLcs.AIcs.CYarXiv:2409.04109v12024
SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer
Ziyou Ren, Nan Cheng, Ruijin Sun +3
cs.NIcs.AIcs.LGarXiv:2211.09712v12022
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta +4
cs.LGcs.AIcs.ROarXiv:1709.10087v22017
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai +5
cs.LGcs.AIstat.MLarXiv:1811.05869v12018
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
cs.LGmath.DSstat.MLarXiv:1710.04340v22017
Softmax Reparameterization for Output-Head Quantization
Asim Kadav, Christian Flores, Chirag Arora +5
cs.LGcs.AIarXiv:2609.31291v12026
Algorithmic Fairness in Education
René F. Kizilcec, Hansol Lee
cs.CYcs.AIcs.LGarXiv:2007.05443v32020
Accelerating Federated Learning via Momentum Gradient Descent
Wei Liu, Li Chen, Yunfei Chen +1
cs.LGstat.MLarXiv:1910.03197v22019
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Xiyue Zhang, Chao Huang, Yong Xu +5
cs.LGcs.AIarXiv:2110.04038v12021
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe +1
cs.LGcs.AIstat.MLarXiv:2010.01179v22020
Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language Models
Yi Wang, Xiuyuan Qi, Dongqi Han +2
cs.CRcs.LGarXiv:2610.10625v12026
Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk +4
cs.ROcs.LGarXiv:1810.05687v42018
ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing
Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer +7
cs.LGcs.AIcs.CVarXiv:2608.26083v12026
The Uncertainty Bellman Equation and Exploration
Brendan O'Donoghue, Ian Osband, Remi Munos +1
cs.AIcs.LGmath.OCarXiv:1709.05380v42017
Light Entropic Optimal Transport on Riemannian Manifolds
Xavier Aramayo-Carrasco, Petr Mokrov, Alexander Korotin
cs.LGarXiv:2610.03085v12026
TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors
Ido Andrew Atad, Itamar Zimerman, Shahar Katz +1
cs.LGarXiv:2601.17958v12026
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler, Jonathan Gordon, Eric Nalisnick +1
stat.MLcs.LGarXiv:1908.02144v42019
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5
cs.CLcs.AIcs.LGarXiv:2306.05836v32023
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov, Kushal Tirumala, Hassan Shapourian +2
cs.CLcs.LGstat.MLarXiv:2403.17887v22024
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr, Dan Boneh
stat.MLcs.CRcs.LGarXiv:1806.03287v22018
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen, Mu Li, Yutian Li +7
cs.DCcs.LGcs.MSarXiv:1512.01274v12015
Comparison of 14 different families of classification algorithms on 115 binary datasets
Jacques Wainer
cs.LGcs.CVarXiv:1606.00930v12016
Enhancing anomaly detection with topology-aware autoencoders
Vishal S. Ngairangbam, Błażej Rozwoda, Kazuki Sakurai +1
hep-phcs.LGhep-exarXiv:2502.10163v12025
CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation
Hamza Shafiq, Hung Manh Pham, Bin Zhu +3
cs.LGeess.IVstat.MLarXiv:2608.12944v12026
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis +1
cs.LGcs.AIcs.ITarXiv:1709.02023v22017
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios
Baiming Chen, Xiang Chen, Wu Qiong +1
cs.ROcs.LGstat.MLarXiv:2004.06531v22020

Machine Learning

PACT: From Credit Assignment to Critic Alignment

One-Class Adversarial Nets for Fraud Detection

When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models

Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes

Doubly Robust Estimation of Causal Effect on CVR with Targeted Regularization

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

Taming Sparsely Activated Transformer with Stochastic Experts

Augmenting Self-attention with Persistent Memory

Machine Unlearning of Pre-trained Large Language Models

Dataset Distillation: A Comprehensive Review

The Alignment Problem in Constrained Code Generation

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces

Exploratory Combinatorial Optimization with Reinforcement Learning

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training

Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction

Irreducible Curriculum for Language Model Pretraining

Learning Convolutional Neural Networks for Graphs

3D Neural Scene Representations for Visuomotor Control

A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Closed-form Continuous-time Neural Models

Experiments of Federated Learning for COVID-19 Chest X-ray Images

FAITH: Feasibility-Aware Safety-Filtered RL for High-Dimensional Systems

Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks

Toward Joint Optimization of Circuit Depth and Training Data Size in Adaptively Grown Quantum Classifiers

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

GRAPE: Gradient Refinement and Progress-Aware Exploitation for Query-Efficient High-Dimensional Bayesian Optimization

Meta-Learning Representations for Continual Learning

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models

Provably efficient RL with Rich Observations via Latent State Decoding

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition

Softmax Reparameterization for Output-Head Quantization

Algorithmic Fairness in Education

Accelerating Federated Learning via Momentum Gradient Descent

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

The Surprising Power of Graph Neural Networks with Random Node Initialization

Safe at One Loop, Risky at Another: Aligning Safety Across Recurrent Depths in Looped Language Models

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience

ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing

The Uncertainty Bellman Equation and Exploration

Light Entropic Optimal Transport on Riemannian Manifolds

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors

Bayesian Batch Active Learning as Sparse Subset Approximation

Can Large Language Models Infer Causation from Correlation?

The Unreasonable Ineffectiveness of the Deeper Layers

Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Comparison of 14 different families of classification algorithms on 115 binary datasets

Enhancing anomaly detection with topology-aware autoencoders

CardioState-JEPA: Delay-Aware Cross-Modal Learning of a Shared Cardiac Representation

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios