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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6,781 to 6,840 of 20,199

xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, Markus Spanring +6
cs.LGcs.AIstat.MLarXiv:2405.04517v22024
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams +4
cs.CVcs.LGstat.MLarXiv:2210.06978v12022
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
Jun Zhan, Junqi Dai, Jiasheng Ye +13
cs.CLcs.AIcs.CVarXiv:2402.12226v52024
Towards Automated Circuit Discovery for Mechanistic Interpretability
Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch +2
cs.LGarXiv:2304.14997v42023
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Yann Dubois, Xuechen Li, Rohan Taori +6
cs.LGcs.AIcs.CLarXiv:2305.14387v42023
Deep Semi-Supervised Anomaly Detection
Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz +4
cs.LGstat.MLarXiv:1906.02694v22019
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
Albert Musaelian, Simon Batzner, Anders Johansson +4
physics.comp-phcond-mat.mtrl-scics.LGarXiv:2204.05249v12022
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato, Shin-ichi Maeda, Masanori Koyama +1
stat.MLcs.LGarXiv:1704.03976v22017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj, Giuseppe Ateniese, Fernando Perez-Cruz
cs.CRcs.LGstat.MLarXiv:1702.07464v32017
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy +2
quant-phcs.LGphysics.chem-pharXiv:1803.11173v12018
Do Deep Nets Really Need to be Deep?
Lei Jimmy Ba, Rich Caruana
cs.LGcs.NEarXiv:1312.6184v72013
Loss is its own Reward: Self-Supervision for Reinforcement Learning
Evan Shelhamer, Parsa Mahmoudieh, Max Argus +1
cs.LGarXiv:1612.07307v22016
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
Siyan Zhao, Mingyi Hong, Yang Liu +2
cs.LGcs.CLarXiv:2502.09597v12025
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
Qiancheng Zhou, Ruizhe Li
cs.LGcs.AIcs.CLarXiv:2608.29188v12026
Discovering Hidden Factors of Variation in Deep Networks
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal +1
cs.LGcs.CVcs.NEarXiv:1412.6583v42014
Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards
Leqi Zheng, Jinbo Su, Fang Niu +8
cs.LGarXiv:2609.03342v12026
Machine Teaching: A New Paradigm for Building Machine Learning Systems
Patrice Y. Simard, Saleema Amershi, David M. Chickering +8
cs.LGcs.AIcs.HCarXiv:1707.06742v32017
Magma: A Foundation Model for Multimodal AI Agents
Jianwei Yang, Reuben Tan, Qianhui Wu +10
cs.CVcs.AIcs.HCarXiv:2502.13130v12025
Adversarial Generation of Continuous Images
Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny
cs.CVcs.AIcs.LGarXiv:2011.12026v22020
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
Yash Khare, Viraj Bagal, Minesh Mathew +3
cs.CVcs.CLcs.LGarXiv:2104.01394v12021
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1
cs.LGarXiv:2609.03809v12026
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
Sangmin Bae, Yujin Kim, Reza Bayat +8
cs.CLcs.LGarXiv:2507.10524v32025
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach, Aviv Tamar, Ge Yang +2
cs.LGcs.AIcs.CVarXiv:1807.09341v12018
R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
Naman Jain, Jaskirat Singh, Manish Shetty +3
cs.SEcs.CLcs.LGarXiv:2504.07164v12025
Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma +11
cs.LGcs.AIcs.CLarXiv:2507.19849v12025
AdaptThink: Reasoning Models Can Learn When to Think
Jiajie Zhang, Nianyi Lin, Lei Hou +2
cs.CLcs.AIcs.LGarXiv:2505.13417v12025
The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections
Milad Nasr, Nicholas Carlini, Chawin Sitawarin +11
cs.LGcs.CRarXiv:2510.09023v12025
Country-wide high-resolution vegetation height mapping with Sentinel-2
Nico Lang, Konrad Schindler, Jan Dirk Wegner
eess.IVcs.CVcs.LGarXiv:1904.13270v22019
Self-Distilled RLVR
Chenxu Yang, Chuanyu Qin, Qingyi Si +7
cs.LGcs.CLarXiv:2604.03128v22026
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology
Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger +2
cs.LGcs.NEstat.MLarXiv:1708.08012v32017
PLAS: Latent Action Space for Offline Reinforcement Learning
Wenxuan Zhou, Sujay Bajracharya, David Held
cs.ROcs.AIcs.LGarXiv:2011.07213v12020
Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs
Jiacheng Xu, Wentao Zhang, Zhiyi Lyu +4
cs.CLcs.LGarXiv:2609.03955v12026
Do GANs actually learn the distribution? An empirical study
Sanjeev Arora, Yi Zhang
cs.LGarXiv:1706.08224v22017
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Siyuan Cheng, Yingqi Liu, Shiqing Ma +1
cs.LGcs.CVarXiv:2012.11212v22020
Benchmarking Cognitive Biases in Large Language Models as Evaluators
Ryan Koo, Minhwa Lee, Vipul Raheja +3
cs.CLcs.AIcs.LGarXiv:2309.17012v32023
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
Wei Chow, Jiageng Mao, Boyi Li +3
cs.CVcs.AIcs.CLarXiv:2501.16411v22025
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro +1
cs.LGcs.AIstat.MLarXiv:2101.05265v22021
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
Lost but not erased: Finding traces of a forgotten language in neural speech models
Peter Plantinga, Charlotte Moore, Peter W. Donhauser +2
cs.CLcs.LGarXiv:2608.25976v12026
Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations
Kunal Handa, Alex Tamkin, Miles McCain +12
cs.CYcs.AIcs.CLarXiv:2503.04761v12025
Extracting Forgotten Prompts from Targeted Unlearned Models
Au Ashley Hoi-Ting, Meghdad Kurmanji, William F. Shen +2
cs.LGarXiv:2609.03662v12026
DE-Venus: A Data-Efficient RLVR Framework for Large Language Models
Shenzhi Yang, Guangcheng Zhu, Kai Tang +11
cs.LGarXiv:2609.03324v12026
AI Control: Improving Safety Despite Intentional Subversion
Ryan Greenblatt, Buck Shlegeris, Kshitij Sachan +1
cs.LGarXiv:2312.06942v52023
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
Xunhao Lai, Jianqiao Lu, Yao Luo +2
cs.LGcs.CLarXiv:2502.20766v12025
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline
Ole Richter, Yannan Xing, Michele De Marchi +9
cs.NEcs.LGeess.IVarXiv:2304.06793v22023
Knowledge Base Completion: Baselines Strike Back
Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst
cs.LGcs.AIarXiv:1705.10744v12017
Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton +41
cs.MAcs.AIcs.CYarXiv:2502.14143v12025
DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models
Yi Shen, Jian Zhang, Jieyun Huang +7
cs.LGcs.AIarXiv:2503.04472v32025
Functional Adversarial Attacks
Cassidy Laidlaw, Soheil Feizi
cs.LGcs.CVarXiv:1906.00001v22019
Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving
Yong Lin, Shange Tang, Bohan Lyu +8
cs.LGcs.AIarXiv:2502.07640v32025
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning
Jyotibdha Acharya, Arindam Basu
eess.AScs.LGcs.SDarXiv:2004.08287v12020
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
Zhaorun Chen, Mintong Kang, Bo Li
cs.LGcs.CRarXiv:2503.22738v22025
Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
Danny Driess, Jost Tobias Springenberg, Brian Ichter +8
cs.LGcs.ROarXiv:2505.23705v12025
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
cs.LGstat.MLarXiv:2005.10996v12020
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
Avinab Saha, Sandeep Mishra, Alan C. Bovik
cs.CVcs.LGcs.MMarXiv:2304.00451v22023
Skywork Open Reasoner 1 Technical Report
Jujie He, Jiacai Liu, Chris Yuhao Liu +14
cs.LGcs.AIcs.CLarXiv:2505.22312v22025
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
Minshuo Chen, Kaixuan Huang, Tuo Zhao +1
cs.LGstat.MLarXiv:2302.07194v12023
Certified Defenses for Adversarial Patches
Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader +3
cs.CRcs.LGstat.MLarXiv:2003.06693v22020
A mathematical perspective on Transformers
Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy +1
cs.LGmath.APmath.DSarXiv:2312.10794v52023
Implicit Gradient Regularization
David G. T. Barrett, Benoit Dherin
cs.LGstat.MLarXiv:2009.11162v32020

Machine Learning

xLSTM: Extended Long Short-Term Memory

LION: Latent Point Diffusion Models for 3D Shape Generation

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Towards Automated Circuit Discovery for Mechanistic Interpretability

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Deep Semi-Supervised Anomaly Detection

Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Barren plateaus in quantum neural network training landscapes

Do Deep Nets Really Need to be Deep?

Loss is its own Reward: Self-Supervision for Reinforcement Learning

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space

Discovering Hidden Factors of Variation in Deep Networks

Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards

Machine Teaching: A New Paradigm for Building Machine Learning Systems

Magma: A Foundation Model for Multimodal AI Agents

Adversarial Generation of Continuous Images

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites

Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

Learning Plannable Representations with Causal InfoGAN

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents

Agentic Reinforced Policy Optimization

AdaptThink: Reasoning Models Can Learn When to Think

The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

Country-wide high-resolution vegetation height mapping with Sentinel-2

Self-Distilled RLVR

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

PLAS: Latent Action Space for Offline Reinforcement Learning

Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs

Do GANs actually learn the distribution? An empirical study

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification

Benchmarking Cognitive Biases in Large Language Models as Evaluators

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

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

Lost but not erased: Finding traces of a forgotten language in neural speech models

Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations

Extracting Forgotten Prompts from Targeted Unlearned Models

DE-Venus: A Data-Efficient RLVR Framework for Large Language Models

AI Control: Improving Safety Despite Intentional Subversion

FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline

Knowledge Base Completion: Baselines Strike Back

Multi-Agent Risks from Advanced AI

DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models

Functional Adversarial Attacks

Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data

Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

Skywork Open Reasoner 1 Technical Report

Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data

Certified Defenses for Adversarial Patches

A mathematical perspective on Transformers

Implicit Gradient Regularization