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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841 to 900 of 20,178

Review of Swarm Intelligence-based Feature Selection Methods
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
cs.LGcs.NEstat.MLarXiv:2008.04103v12020
Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar +1
cs.LGcs.AIcs.MAarXiv:1703.02702v12017
Aligning AI With Shared Human Values
Dan Hendrycks, Collin Burns, Steven Basart +4
cs.CYcs.AIcs.CLarXiv:2008.02275v62020
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
cs.LGarXiv:1703.00560v22017
Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network
Jen Hong Tan, U. Rajendra Acharya, Sulatha V. Bhandary +2
cs.CVcs.LGarXiv:1702.00509v12017
Learn&Fuzz: Machine Learning for Input Fuzzing
Patrice Godefroid, Hila Peleg, Rishabh Singh
cs.AIcs.CRcs.LGarXiv:1701.07232v12017
GenMol: A Drug Discovery Generalist with Discrete Diffusion
Seul Lee, Karsten Kreis, Srimukh Prasad Veccham +6
cs.LGarXiv:2501.06158v32025
Test-time Alignment of Diffusion Models without Reward Over-optimization
Sunwoo Kim, Minkyu Kim, Dongmin Park
cs.LGcs.AIcs.CVarXiv:2501.05803v32025
An Explainable Machine Learning Framework for Predicting Blood-Brain Barrier Permeability Using Molecular Descriptors
Fatemeh Mahmoudi
cs.LGcond-mat.mtrl-sciarXiv:2609.10012v12026
Infra-Bench CLS: A Global, Open-Source Benchmark for Critical Infrastructure Classification with Earth Observation Foundation Models
Justin Guthrie, Edward Oughton, Konrad Wessels +2
cs.CVcs.LGarXiv:2609.09482v12026
A Survey on Large Language Models with some Insights on their Capabilities and Limitations
Andrea Matarazzo, Riccardo Torlone
cs.CLcs.AIcs.LGarXiv:2501.04040v22025
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik +1
cs.CVcs.LGarXiv:1612.06851v22016
Predicting Process Behaviour using Deep Learning
Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke
cs.LGstat.MLarXiv:1612.04600v22016
Training-Free Task Vectors for LLM Behavioral Control
Gabriel J. Perin, Lucas Boscaini, André Araujo +1
cs.LGcs.AIarXiv:2609.09054v12026
Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger, Josephine Passananti, Arjun Bhagoji +3
cs.CVcs.CRcs.LGarXiv:2006.14580v42020
The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin +17
cs.LGcs.AIcs.SEarXiv:2412.05467v42024
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta, Li Liu, Fan Zhu +1
cs.CVcs.LGeess.IVarXiv:2006.11538v12020
A causal framework for discovering and removing direct and indirect discrimination
Lu Zhang, Yongkai Wu, Xintao Wu
cs.LGarXiv:1611.07509v12016
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed +1
cs.CLcs.LGcs.SDarXiv:2006.11477v32020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
Ashvin Nair, Abhishek Gupta, Murtaza Dalal +1
cs.LGcs.ROstat.MLarXiv:2006.09359v62020
SUN: Reaching for Novelty in Reinforcement Learning
Wenyan Yang, Arsenii Mustafin, Dominik Baumann +2
cs.LGcs.AIcs.ROarXiv:2609.08642v12026
Foundations of Structural Causal Models with Cycles and Latent Variables
Stephan Bongers, Patrick Forré, Jonas Peters +1
stat.MEcs.AIcs.LGarXiv:1611.06221v62016
Robust Learning Through Cross-Task Consistency
Amir Zamir, Alexander Sax, Teresa Yeo +6
cs.CVcs.GRcs.LGarXiv:2006.04096v12020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin +2
cs.LGstat.MLarXiv:2006.01791v22020
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
Manling Li, Shiyu Zhao, Qineng Wang +12
cs.CLcs.AIcs.LGarXiv:2410.07166v32024
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Nishat Koti, Mahak Pancholi, Arpita Patra +1
cs.CRcs.LGarXiv:2005.10296v32020
A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer
Vladimir Iashin, Esa Rahtu
cs.CVcs.CLcs.LGarXiv:2005.08271v22020
SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar, Carl Vondrick, Antonio Torralba
cs.CVcs.LGcs.SDarXiv:1610.09001v12016
Bit-pragmatic Deep Neural Network Computing
J. Albericio, P. Judd, A. Delmás +2
cs.LGcs.AIcs.ARarXiv:1610.06920v12016
Explainable Reinforcement Learning: A Survey
Erika Puiutta, Eric MSP Veith
cs.LGstat.MLarXiv:2005.06247v12020
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation
Yecheng Wu, Zhuoyang Zhang, Junyu Chen +9
cs.CVcs.LGarXiv:2409.04429v32024
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
Runqi Qiao, Qiuna Tan, Guanting Dong +15
cs.AIcs.CLcs.CVarXiv:2407.01284v12024
Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning
Pablo Torrijos, José A. Gámez, José M. Puerta +1
cs.NEcs.LGarXiv:2609.03724v12026
Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection
Weijie Liu, Running Zhao, Wenhao Yuan +4
cs.AIcs.LGarXiv:2609.03416v12026
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
Kailu Wu, Fangfu Liu, Zhihan Cai +5
cs.CVcs.GRcs.LGarXiv:2405.20343v32024
Reinforcement learning
Sarod Yatawatta
astro-ph.IMcs.AIcs.LGarXiv:2405.10369v12024
Adversarial Machine Learning in Network Intrusion Detection Systems
Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian
cs.CRcs.LGcs.NEarXiv:2004.11898v12020
Improving Dictionary Learning with Gated Sparse Autoencoders
Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith +5
cs.LGcs.AIarXiv:2404.16014v22024
WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia +9
cs.LGcs.AIarXiv:2403.07718v52024
Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data
Yuncheng Li, LiangLiang Cao, Jiang Zhu +1
cs.MMcs.LGarXiv:1608.03016v22016
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei, Kaixuan Huang, Yangsibo Huang +6
cs.LGcs.AIcs.CLarXiv:2402.05162v42024
Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation
Zhixuan Liu, Zhichen Dong, Yuyu Fan +2
cs.LGarXiv:2609.01091v22026
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mantas Mazeika, Long Phan, Xuwang Yin +9
cs.LGcs.AIcs.CLarXiv:2402.04249v22024
EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction
Yunzhen Zhang, Ruoxi Piao, Hasan Onur Keles +1
cs.LGcs.AIarXiv:2609.00653v12026
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +4
cs.CRcs.LGarXiv:2401.12262v12024
Towards unsupervised representation learning for quantum data: quantum models with inference and generation
Robin Lorenz, Eric Brunner, Marcello Benedetti
quant-phcs.LGarXiv:2609.00372v12026
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Zixiang Chen, Yihe Deng, Huizhuo Yuan +2
cs.LGcs.AIcs.CLarXiv:2401.01335v32024
Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs
Jonathan Zheng, Zirui Shao, Alan Ritter +1
cs.CLcs.LGarXiv:2609.00184v12026
Backprop KF: Learning Discriminative Deterministic State Estimators
Tuomas Haarnoja, Anurag Ajay, Sergey Levine +1
cs.LGcs.AIarXiv:1605.07148v42016
Different representation learning objectives recover distinct latent structures from the same psychometric data
Cong Cao, Tassos C. Kyriakides, Pambos Vrasidas
cs.AIcs.LGstat.MEarXiv:2609.00100v12026
Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
Huan Ling, Seung Wook Kim, Antonio Torralba +2
cs.CVcs.LGarXiv:2312.13763v22023
Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning
Yue Cheng, Jiajun Zhang, Xiaohui Gao +2
cs.LGcs.AIarXiv:2608.30699v12026
Steering Llama 2 via Contrastive Activation Addition
Nina Panickssery, Nick Gabrieli, Julian Schulz +3
cs.CLcs.AIcs.LGarXiv:2312.06681v42023
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Neel Jain, Avi Schwarzschild, Yuxin Wen +7
cs.LGcs.CLcs.CRarXiv:2309.00614v22023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
Kushal Tirumala, Daniel Simig, Armen Aghajanyan +1
cs.CLcs.AIcs.LGarXiv:2308.12284v12023
PMET: Precise Model Editing in a Transformer
Xiaopeng Li, Shasha Li, Shezheng Song +3
cs.CLcs.AIcs.LGarXiv:2308.08742v62023
On the use of deep learning for phase recovery
Kaiqiang Wang, Li Song, Chutian Wang +8
physics.opticscs.LGeess.IVarXiv:2308.00942v12023
Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving
Tian Zhang, Zhuo Huang, Hongrui Ye +3
cs.CVcs.AIcs.LGarXiv:2608.30122v12026
A Survey of Techniques for Optimizing Transformer Inference
Krishna Teja Chitty-Venkata, Sparsh Mittal, Murali Emani +2
cs.LGcs.ARcs.CLarXiv:2307.07982v12023
Generating images with recurrent adversarial networks
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang +1
cs.LGcs.CVarXiv:1602.05110v52016

Machine Learning

Review of Swarm Intelligence-based Feature Selection Methods

Robust Adversarial Reinforcement Learning

Aligning AI With Shared Human Values

An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis

Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network

Learn&Fuzz: Machine Learning for Input Fuzzing

GenMol: A Drug Discovery Generalist with Discrete Diffusion

Test-time Alignment of Diffusion Models without Reward Over-optimization

An Explainable Machine Learning Framework for Predicting Blood-Brain Barrier Permeability Using Molecular Descriptors

Infra-Bench CLS: A Global, Open-Source Benchmark for Critical Infrastructure Classification with Earth Observation Foundation Models

A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Beyond Skip Connections: Top-Down Modulation for Object Detection

Predicting Process Behaviour using Deep Learning

Training-Free Task Vectors for LLM Behavioral Control

Backdoor Attacks Against Deep Learning Systems in the Physical World

The BrowserGym Ecosystem for Web Agent Research

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

A causal framework for discovering and removing direct and indirect discrimination

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

SUN: Reaching for Novelty in Reinforcement Learning

Foundations of Structural Causal Models with Cycles and Latent Variables

Robust Learning Through Cross-Task Consistency

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

SoundNet: Learning Sound Representations from Unlabeled Video

Bit-pragmatic Deep Neural Network Computing

Explainable Reinforcement Learning: A Survey

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Genetic Algorithms for Tractable Bayesian Network Fusion via Pre-Fusion Edge Pruning

Dude: A Dual-Detection Multi-Agent System for Paper-Code Discrepancy Detection

Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

Reinforcement learning

Adversarial Machine Learning in Network Intrusion Detection Systems

Improving Dictionary Learning with Gated Sparse Autoencoders

WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications

Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation

HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Towards unsupervised representation learning for quantum data: quantum models with inference and generation

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs

Backprop KF: Learning Discriminative Deterministic State Estimators

Different representation learning objectives recover distinct latent structures from the same psychometric data

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models

Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning

Steering Llama 2 via Contrastive Activation Addition

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

D4: Improving LLM Pretraining via Document De-Duplication and Diversification

PMET: Precise Model Editing in a Transformer

On the use of deep learning for phase recovery

Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving

A Survey of Techniques for Optimizing Transformer Inference

Generating images with recurrent adversarial networks