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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27,601 to 27,660 of 33,092

Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN
Akram Seifi, Mohammad Ehteram, Vijay P. Singh +1
eess.SPcs.LGcs.NEarXiv:2006.16848v12020
Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation
Sho Kawano, Zehang Richard Li, Paul A. Parker
stat.MLcs.AIcs.LGarXiv:2609.20758v12026
LightThinker: Thinking Step-by-Step Compression
Jintian Zhang, Yuqi Zhu, Mengshu Sun +6
cs.CLcs.AIcs.IRarXiv:2502.15589v22025
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Jian Chen, Xuxin Zhang, Rui Zhang +2
cs.CRcs.LGcs.PFarXiv:2105.03592v12021
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes, Evi Sijben, Ioan Gabriel Bucur +1
cs.AIcs.LGarXiv:2011.01625v12020
Membership Leakage in Label-Only Exposures
Zheng Li, Yang Zhang
cs.LGcs.CRstat.MLarXiv:2007.15528v32020
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
Benjamin L. Edelman, Ezra Edelman, Surbhi Goel +2
cs.LGarXiv:2402.11004v12024
TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment
Jiaxuan Wang, Xuan Ouyang, Zhiyu Chen +4
cs.AIcs.LGarXiv:2605.10194v12026
Conformal Prediction for Spatially Dependent Data via Sequential Whitening
Ayush Baran Sen, Arkajyoti Saha
stat.MLcs.LGstat.AParXiv:2610.10168v12026
Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift
Marcel Mordarski, Benjamin Gras, Abdelrahman Shehata +2
quant-phcs.CRcs.ITarXiv:2610.01792v12026
PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion
Peining Zhang, Jinbo Bi
q-bio.BMcs.LGarXiv:2609.08101v32026
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang +12
cs.CVcs.AIcs.CLarXiv:2504.15376v22025
Exploring the Limits of Large Scale Pre-training
Samira Abnar, Mostafa Dehghani, Behnam Neyshabur +1
cs.LGcs.AIcs.CVarXiv:2110.02095v12021
Geometry of Optimization and Implicit Regularization in Deep Learning
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov +1
cs.LGarXiv:1705.03071v12017
Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems
Lulu Gong, Yongxu Zhang, Shreya Saxena
cs.LGeess.SPq-bio.NCarXiv:2610.01786v12026
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
Juntang Zhuang, Nicha Dvornek, Xiaoxiao Li +3
stat.MLcs.LGarXiv:2006.02493v12020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu, Wangchunshu Zhou, Tao Ge +2
cs.CLcs.LGarXiv:2002.02925v42020
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
Usha Bhalla, Alex Oesterling, Suraj Srinivas +2
cs.LGcs.CVarXiv:2402.10376v22024
Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training
Xidong Feng, Ziyu Wan, Muning Wen +4
cs.LGcs.AIcs.CLarXiv:2309.17179v22023
Fast Polynomial Transcendentals for LLMs
Robert Hu
cs.LGarXiv:2610.00049v12026
Counterfactual Online Conformal Prediction Under Adaptive Logging
Xinyu Qiao, Yichen Lin, Kaihong Ji +2
cs.LGarXiv:2609.30811v12026
Q-Learning for Reachability in MEC-Free MDPs
Lu-Chin Chang, Suguman Bansal
cs.AIcs.LGcs.LOarXiv:2610.01781v12026
FloorSAV: Elucidating Spatial Audio-Visual Context with 2D Floormap for AV-LLMs
Kyeong-Rae Kim, Sungnyun Kim, Tae-Hyun Oh
cs.CVcs.LGarXiv:2610.11310v12026
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
NVIDIA, :, Hassan Abu Alhaija +38
cs.CVcs.AIcs.LGarXiv:2503.14492v22025
Scaling Open-Ended Reasoning to Predict the Future
Nikhil Chandak, Shashwat Goel, Ameya Prabhu +2
cs.LGcs.CLarXiv:2512.25070v22025
Learning by tracking: Siamese CNN for robust target association
Laura Leal-Taixé, Cristian Canton Ferrer, Konrad Schindler
cs.LGcs.CVarXiv:1604.07866v32016
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye, Shansan Gong, Liheng Chen +8
cs.CLcs.AIcs.LGarXiv:2402.07754v32024
Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement
Sekh Mainul Islam, Pepa Atanasova, Isabelle Augenstein
cs.CLcs.AIcs.LGarXiv:2511.01706v32025
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles
Yuanzhao Zhai, Han Zhang, Yu Lei +5
cs.LGarXiv:2401.00243v12023
Music Transformer
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit +7
cs.LGcs.SDeess.ASarXiv:1809.04281v32018
A New PAC-Bayesian Perspective on Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette +1
stat.MLcs.LGarXiv:1506.04573v42015
Bayesian Matrix-Valued Graphs for Context-Dependent Multivariate Relationships
Papri Dey
stat.MEcs.LGarXiv:2609.08055v12026
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
Xinwu Ye, Yicheng Mao, Yuxuan Liao +16
physics.chem-phcs.AIcs.CLarXiv:2602.07075v62026
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel, Matthew Hausknecht, Jacob Devlin +2
cs.LGstat.MLarXiv:1805.04276v22018
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
cs.LGcs.AIarXiv:1908.08342v22019
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
Zhengpeng Feng, Clement Atzberger, Sadiq Jaffer +11
cs.LGarXiv:2506.20380v72025
Extreme Parkour with Legged Robots
Xuxin Cheng, Kexin Shi, Ananye Agarwal +1
cs.ROcs.AIcs.CVarXiv:2309.14341v12023
Convex Low-resource Accent-Robust Language Detection in Speech Recognition
Miria Feng, William Tan, Mert Pilanci
cs.LGarXiv:2605.23235v12026
Embedding Models for Episodic Knowledge Graphs
Yunpu Ma, Volker Tresp, Erik Daxberger
cs.AIcs.IRcs.LGarXiv:1807.00228v22018
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu +3
cs.CLcs.AIcs.LGarXiv:2107.13586v12021
An Analytical Theory of Auxiliary Learning
Federico Milanesio, Alessandro Ingrosso, Matteo Osella
cs.LGarXiv:2609.29774v12026
SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control
Suwan Wu, Yumeng Lin, Pengcheng Yuan +1
cs.AIcs.CLcs.LGarXiv:2609.11752v12026
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn, Henry Zhu, Kristian Hartikainen +4
cs.ROcs.LGstat.MLarXiv:1909.11639v32019
More Agents Is All You Need
Junyou Li, Qin Zhang, Yangbin Yu +2
cs.CLcs.AIcs.LGarXiv:2402.05120v22024
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
Anian Ruoss, Grégoire Delétang, Sourabh Medapati +7
cs.LGcs.AIstat.MLarXiv:2402.04494v22024
Actionable Recourse in Linear Classification
Berk Ustun, Alexander Spangher, Yang Liu
stat.MLcs.LGarXiv:1809.06514v22018
Access Sets Matter: Budgeting Expert Reads for Scalable Weight-Space Model Merging
Yuanyi Wang, Yanggan Gu, Su Lu +5
cs.LGeess.SYarXiv:2605.29489v12026
In-context Learning of Single-index Targets: Comparing Kernel and Feature Learners
Haotian Gu, Yizhou Xu, Lenka Zdeborová
cs.LGcond-mat.dis-nnstat.MLarXiv:2610.01712v12026
Hierarchical Clustering better than Average-Linkage
Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh
cs.DScs.GTcs.LGarXiv:1808.02227v12018
Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
Honglei Brinkmann, Carola-Bibiane Schönlieb, Ander Biguri
eess.IVcs.LGarXiv:2610.08866v12026
Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models
Lauren Hyoseo Yoon, Yisong Yue, Been Kim
cs.LGcs.CVarXiv:2507.01201v72025
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy +1
cs.LGcs.NEstat.MLarXiv:1912.05671v42019
Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning
Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14
cs.LGcs.AIarXiv:2609.03667v12026
HyCO: A Hybrid Neural Solver for Combinatorial Optimization
Yuheng Li, Di Yang, Haipeng Chen +1
cs.LGcs.AIarXiv:2609.07990v12026
Temporal Cycle-Consistency Learning
Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson +2
cs.CVcs.LGarXiv:1904.07846v12019
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius +5
q-bio.NCcs.AIcs.CVarXiv:1807.00053v22018
When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models
Jaejun Shim, HyunJin Kim, Young Jin Kim +1
cs.AIcs.LGarXiv:2609.19671v12026
Vision-based Real Estate Price Estimation
Omid Poursaeed, Tomas Matera, Serge Belongie
cs.CVcs.LGarXiv:1707.05489v32017
Presence-Only Geographical Priors for Fine-Grained Image Classification
Oisin Mac Aodha, Elijah Cole, Pietro Perona
cs.CVcs.LGarXiv:1906.05272v32019
CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
Anirudh Khatry, Robert Zhang, Jia Pan +4
cs.SEcs.CLcs.LGarXiv:2504.15254v32025

Machine Learning

Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN

Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation

LightThinker: Thinking Step-by-Step Compression

De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks

Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models

Membership Leakage in Label-Only Exposures

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

TRACE: Distilling Where It Matters via Token-Routed Self On-Policy Alignment

Conformal Prediction for Spatially Dependent Data via Sequential Whitening

Learnt Attacks on Quantum Key Distribution under Channel Noise and Device Drift

PocketVE: Stable and Property-Guided Structure-Based Drug Design with Variance-Exploding Diffusion

Towards Understanding Camera Motions in Any Video

Exploring the Limits of Large Scale Pre-training

Geometry of Optimization and Implicit Regularization in Deep Learning

Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing

Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Fast Polynomial Transcendentals for LLMs

Counterfactual Online Conformal Prediction Under Adaptive Logging

Q-Learning for Reachability in MEC-Free MDPs

FloorSAV: Elucidating Spatial Audio-Visual Context with 2D Floormap for AV-LLMs

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

Scaling Open-Ended Reasoning to Predict the Future

Learning by tracking: Siamese CNN for robust target association

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models

Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles

Music Transformer

A New PAC-Bayesian Perspective on Domain Adaptation

Bayesian Matrix-Valued Graphs for Context-Dependent Multivariate Relationships

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation

TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis

Extreme Parkour with Legged Robots

Convex Low-resource Accent-Robust Language Detection in Speech Recognition

Embedding Models for Episodic Knowledge Graphs

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

An Analytical Theory of Auxiliary Learning

SIRF: A Spec-Internalized Risk Foundation Model for Industrial Content Risk Control

ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots

More Agents Is All You Need

Amortized Planning with Large-Scale Transformers: A Case Study on Chess

Actionable Recourse in Linear Classification

Access Sets Matter: Budgeting Expert Reads for Scalable Weight-Space Model Merging

In-context Learning of Single-index Targets: Comparing Kernel and Feature Learners

Hierarchical Clustering better than Average-Linkage

Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT

Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning

HyCO: A Hybrid Neural Solver for Combinatorial Optimization

Temporal Cycle-Consistency Learning

Task-Driven Convolutional Recurrent Models of the Visual System

When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models

Vision-based Real Estate Price Estimation

Presence-Only Geographical Priors for Fine-Grained Image Classification

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation