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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6,241 to 6,300 of 20,199

Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng
cs.LOcs.AIcs.LGarXiv:1905.09381v12019
Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization
Shiyun Wa, Yifei Wang, Anna G. Green +2
cs.LGarXiv:2609.00189v12026
On The Reasons Behind Decisions
Adnan Darwiche, Auguste Hirth
cs.AIcs.LGarXiv:2002.09284v12020
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
Peter Eastman, Raimondas Galvelis, Raúl P. Peláez +22
physics.chem-phcs.LGarXiv:2310.03121v22023
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis +2
cs.CVcs.AIcs.GRarXiv:1905.02876v32019
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee +2
cs.LGcs.ARarXiv:1705.01626v12017
Hilbert: Recursively Building Formal Proofs with Informal Reasoning
Sumanth Varambally, Thomas Voice, Yanchao Sun +3
cs.AIcs.FLcs.LGarXiv:2509.22819v22025
Automated Conjecture Resolution with Formal Verification
Haocheng Ju, Guoxiong Gao, Jiedong Jiang +13
cs.LGcs.AIarXiv:2604.03789v22026
Variational Bayesian Optimal Experimental Design
Adam Foster, Martin Jankowiak, Eli Bingham +4
stat.MLcs.LGstat.COarXiv:1903.05480v32019
XingGAN for Person Image Generation
Hao Tang, Song Bai, Li Zhang +2
cs.CVcs.LGeess.IVarXiv:2007.09278v12020
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui, Miao Yin, Yi Xie +3
cs.CVcs.AIcs.LGarXiv:2110.13981v32021
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon +3
cs.DBcs.LGarXiv:2505.23416v22025
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
Zhoujun Cheng, Shibo Hao, Tianyang Liu +21
cs.LGcs.AIcs.CLarXiv:2506.14965v12025
AgentFold: Long-Horizon Web Agents with Proactive Context Management
Rui Ye, Zhongwang Zhang, Kuan Li +12
cs.CLcs.AIcs.LGarXiv:2510.24699v12025
How Do Language Models Choose Between Context and Memory?
Benjamin Shih, John Winnicki, Arianna Cao
cs.LGcs.CLarXiv:2609.00753v12026
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco +1
cs.LGcs.CVstat.MLarXiv:1912.01100v22019
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
Zhenyu Hou, Ziniu Hu, Yujiang Li +3
cs.LGcs.CLarXiv:2506.11902v12025
Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining
Rosie Zhao, Alexandru Meterez, Sham Kakade +3
cs.LGarXiv:2504.07912v22025
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
Jing Liu, Sihan Chen, Xingjian He +4
cs.LGcs.CLcs.CVarXiv:2304.08345v22023
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery
Jiaqi Wei, Yuejin Yang, Xiang Zhang +24
cs.LGarXiv:2508.14111v22025
Tail-Likelihood Reinforcement Learning
Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar +11
cs.LGstat.MLarXiv:2609.02987v12026
Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening
Andre He, Daniel Fried, Sean Welleck
cs.LGarXiv:2506.02355v22025
Does Fault Localization Beat a Fresh Attempt? A Placebo-Controlled Study of Test-Guided Code Repair
Anik Jha
cs.SEcs.AIcs.LGarXiv:2609.00854v12026
Spawn Freely, Act Sparingly: Progressive Risk Vesting for Recursive LLM-Agent Trees
Molly Wang
cs.AIcs.LGmath.PRarXiv:2609.01035v12026
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Zhendong Wang, Yifan Jiang, Huangjie Zheng +5
cs.CVcs.LGarXiv:2304.12526v22023
Skillful joint probabilistic weather forecasting from marginals
Ferran Alet, Ilan Price, Andrew El-Kadi +8
cs.LGphysics.ao-pharXiv:2506.10772v12025
Automated data processing and feature engineering for deep learning and big data applications: a survey
Alhassan Mumuni, Fuseini Mumuni
cs.LGcs.AIcs.DBarXiv:2403.11395v22024
SkillRouter: Skill Routing for LLM Agents at Scale
YanZhao Zheng, ZhenTao Zhang, Chao Ma +8
cs.LGarXiv:2603.22455v52026
Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
Qiusi Zhan, Richard Fang, Henil Shalin Panchal +1
cs.CRcs.LGarXiv:2503.00061v22025
Competitive Programming with Large Reasoning Models
OpenAI, :, Ahmed El-Kishky +23
cs.LGcs.AIcs.CLarXiv:2502.06807v22025
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
Szu-Wei Fu, Ting-yao Hu, Yu Tsao +1
stat.MLcs.LGcs.SDarXiv:1704.08504v22017
Who Speaks for the Pruned? Visual Token Pruning as Coverage Optimization
Qingchan Zhu, Weihang You, Hanqi Jiang +3
cs.CVcs.CLcs.LGarXiv:2609.03158v12026
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Daniel Israel, Guy Van den Broeck, Aditya Grover
cs.CLcs.AIcs.LGarXiv:2506.00413v22025
Challenges in Training PINNs: A Loss Landscape Perspective
Pratik Rathore, Weimu Lei, Zachary Frangella +2
cs.LGmath.OCstat.MLarXiv:2402.01868v22024
Latent Matters: Learning Deep State-Space Models
Alexej Klushyn, Richard Kurle, Maximilian Soelch +2
cs.LGarXiv:2602.23050v22026
Preference Leakage: A Contamination Problem in LLM-as-a-judge
Dawei Li, Renliang Sun, Yue Huang +6
cs.LGcs.AIcs.CLarXiv:2502.01534v32025
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao, Chuxu Zhang, Ying Wei +5
cs.LGstat.MLarXiv:1910.03053v32019
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song
cs.LGcs.AIstat.MLarXiv:2503.07565v72025
CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning
Baraa Bilbeisi, Mengchen Fan, Baocheng Geng +1
cs.LGcs.CVarXiv:2609.00446v12026
Cluster-guided Contrastive Graph Clustering Network
Xihong Yang, Yue Liu, Sihang Zhou +6
cs.LGarXiv:2301.01098v12023
CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation
Jinjun Peng, Leyi Cui, Kele Huang +2
cs.SEcs.CLcs.LGarXiv:2501.08200v12025
Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder
Yu-An Chung, Chao-Chung Wu, Chia-Hao Shen +2
cs.SDcs.LGarXiv:1603.00982v42016
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
Heli Ben-Hamu, Itai Gat, Daniel Severo +2
cs.LGarXiv:2505.24857v12025
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
NVIDIA, :, Aarti Basant +214
cs.CLcs.AIcs.LGarXiv:2508.14444v42025
PyG 2.0: Scalable Learning on Real World Graphs
Matthias Fey, Jinu Sunil, Akihiro Nitta +10
cs.LGcs.AIarXiv:2507.16991v22025
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Daryna Oliynyk, Rudolf Mayer, Andreas Rauber
cs.LGcs.AIcs.CRarXiv:2206.08451v22022
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
Muhammad Rehman Zafar, Naimul Mefraz Khan
cs.LGcs.AIstat.MLarXiv:1906.10263v12019
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Amirmojtaba Sabour, Sanja Fidler, Karsten Kreis
cs.CVcs.LGarXiv:2506.14603v12025
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios +3
stat.MLcs.LGarXiv:1806.02193v22018
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi, Muhammad Usama, Junaid Qadir +4
cs.LGcs.AIcs.CRarXiv:2001.09684v22020
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
Yuqi Wu, Wenzhao Zheng, Jie Zhou +1
cs.CVcs.AIcs.LGarXiv:2507.02863v22025
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
Haoang Chi, He Li, Wenjing Yang +5
cs.AIcs.CLcs.LGarXiv:2506.21215v12025
DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process
Minjun Zhu, Yixuan Weng, Linyi Yang +1
cs.CLcs.LGarXiv:2503.08569v12025
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer, Ron Banner, Itay Golan +1
stat.MLcs.LGarXiv:1803.01814v32018
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
Kun Wang, Guibin Zhang, Zhenhong Zhou +100
cs.CRcs.AIcs.CLarXiv:2504.15585v42025
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Yang Chen, Zhuolin Yang, Zihan Liu +5
cs.LGcs.AIcs.CLarXiv:2505.16400v32025
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
Jie Fu, Ufuk Topcu
eess.SYcs.LGcs.LOarXiv:1404.7073v22014
MEt3R: Measuring Multi-View Consistency in Generated Images
Mohammad Asim, Christopher Wewer, Thomas Wimmer +2
cs.CVcs.LGeess.IVarXiv:2501.06336v22025
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Evan Crothers, Nathalie Japkowicz, Herna Viktor
cs.CLcs.CRcs.CYarXiv:2210.07321v42022
Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Rahul Iyer, Yuezhang Li, Huao Li +3
cs.LGstat.MLarXiv:1809.06061v12018

Machine Learning

Learning to Prove Theorems via Interacting with Proof Assistants

Elite-Weighted Supervised Fine-tuning for Goal-Directed Molecular Optimization

On The Reasons Behind Decisions

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Hilbert: Recursively Building Formal Proofs with Informal Reasoning

Automated Conjecture Resolution with Formal Verification

Variational Bayesian Optimal Experimental Design

XingGAN for Person Image Generation

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective

AgentFold: Long-Horizon Web Agents with Proactive Context Management

How Do Language Models Choose Between Context and Memory?

Latent Replay for Real-Time Continual Learning

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset

From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery

Tail-Likelihood Reinforcement Learning

Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening

Does Fault Localization Beat a Fresh Attempt? A Placebo-Controlled Study of Test-Guided Code Repair

Spawn Freely, Act Sparingly: Progressive Risk Vesting for Recursive LLM-Agent Trees

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Skillful joint probabilistic weather forecasting from marginals

Automated data processing and feature engineering for deep learning and big data applications: a survey

SkillRouter: Skill Routing for LLM Agents at Scale

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents

Competitive Programming with Large Reasoning Models

Complex spectrogram enhancement by convolutional neural network with multi-metrics learning

Who Speaks for the Pruned? Visual Token Pruning as Coverage Optimization

Accelerating Diffusion LLMs via Adaptive Parallel Decoding

Challenges in Training PINNs: A Loss Landscape Perspective

Latent Matters: Learning Deep State-Space Models

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Graph Few-shot Learning via Knowledge Transfer

Inductive Moment Matching

CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning

Cluster-guided Contrastive Graph Clustering Network

CWEval: Outcome-driven Evaluation on Functionality and Security of LLM Code Generation

Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model

PyG 2.0: Scalable Learning on Real World Graphs

I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences

DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems

Align Your Flow: Scaling Continuous-Time Flow Map Distillation

GraKeL: A Graph Kernel Library in Python

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process

Norm matters: efficient and accurate normalization schemes in deep networks

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints

MEt3R: Measuring Multi-View Consistency in Generated Images

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

Transparency and Explanation in Deep Reinforcement Learning Neural Networks