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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22,801 to 22,860 of 33,202

Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings
Allan Minh-Tam Nguyen, Sree Showrya Kotala, Stefan Banioi-Crijman +2
cs.LGarXiv:2609.12758v12026
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss +1
cs.LGcs.AIstat.MLarXiv:2603.05483v12026
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
cs.LGcs.AIcs.MAarXiv:1812.11794v22018
Cheap to Draw, Expensive to Trust: Certifying Test-Time Scaling Curves
Sohail, Sarkar, Shakuntala Baichoo
cs.LGcs.CLmath.STarXiv:2609.40190v12026
Practical Contextual Bandits with Regression Oracles
Dylan J. Foster, Alekh Agarwal, Miroslav Dudík +2
cs.LGstat.MLarXiv:1803.01088v12018
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Robert Lloyd, Roger Grosse +2
stat.MLcs.LGstat.MEarXiv:1302.4922v42013
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
stat.MLcs.LGarXiv:1306.0940v52013
A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation
Dipankar Sarkar
cs.CRcs.AIcs.CLarXiv:2608.14329v12026
A Survey on Distributed Machine Learning
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy +3
cs.LGcs.DCstat.MLarXiv:1912.09789v12019
SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference
Qitong Wang, Xinwei Niu, Mingluo Su +3
cs.LGcs.CLarXiv:2610.12327v12026
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Ossama Ahmed, Frederik Träuble, Anirudh Goyal +5
cs.ROcs.LGstat.MLarXiv:2010.04296v22020
CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing
Huu Huy Nguyen, Chien Van Nguyen, Franck Dernoncourt +4
cs.LGcs.CLarXiv:2609.01925v12026
Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training
Meng Wang, Haohan Zhao, Wenzhuo Liu +7
cs.LGcs.CLarXiv:2607.01763v12026
ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents
Yupeng Su, Jiayi Tian, Zheng Zhang +1
cs.CLcs.AIcs.LGarXiv:2610.07863v12026
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas +1
physics.flu-dyncs.LGphysics.comp-pharXiv:2109.01514v12021
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
cs.AIcs.CLcs.HCarXiv:1702.07826v22017
The Geometry of Randomized Smoothing on Feasible Sets
Syed Izhan Khilji, Alireza Furutanpey, Schahram Dustdar
cs.LGstat.MLarXiv:2609.39497v12026
Infinite Mixture Prototypes for Few-Shot Learning
Kelsey R. Allen, Evan Shelhamer, Hanul Shin +1
cs.LGstat.MLarXiv:1902.04552v12019
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico +1
cs.CLcs.AIcs.LGarXiv:1906.01105v22019
Adversarial Feature Selection against Evasion Attacks
Fei Zhang, Patrick P. K. Chan, Battista Biggio +2
cs.LGcs.CRstat.MLarXiv:2005.12154v12020
Towards Making the Most of BERT in Neural Machine Translation
Jiacheng Yang, Mingxuan Wang, Hao Zhou +4
cs.CLcs.LGarXiv:1908.05672v52019
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra +2
eess.SPcs.CLcs.LGarXiv:1911.05659v22019
Geometry-Aided Channel Deduction with Partial Channel Estimates and Uncalibrated Digital Twin
Hongning Ruan, Zhaoyang Zhang, Zirui Chen +3
eess.SPcs.LGarXiv:2609.37277v12026
Unifying distillation and privileged information
David Lopez-Paz, Léon Bottou, Bernhard Schölkopf +1
stat.MLcs.LGarXiv:1511.03643v32015
Root Mean Square Layer Normalization
Biao Zhang, Rico Sennrich
cs.LGcs.CLstat.MLarXiv:1910.07467v12019
Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark
Tariq Mahmood, Muhammad Awais Rafique, Talab Hussain +3
hep-phcs.LGhep-exarXiv:2608.26224v12026
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li, Alexander Tuzhilin
cs.IRcs.LGarXiv:1910.05189v12019
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau +1
cs.CLcs.LGarXiv:2011.01403v32020
Challenges and Research Directions for Large Language Model Inference Hardware
Xiaoyu Ma, David Patterson
cs.ARcs.AIcs.LGarXiv:2601.05047v32026
Deep Learning and Foundation Models for Weather Prediction: A Survey
Jimeng Shi, Azam Shirali, Bowen Jin +10
cs.LGarXiv:2501.06907v12025
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong, Pietro Frigo, Yiğitcan Kaya +2
cs.CRcs.LGarXiv:1906.01017v12019
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio
cs.CLcs.LGarXiv:1603.06147v42016
CoCa: Contrastive Captioners are Image-Text Foundation Models
Jiahui Yu, Zirui Wang, Vijay Vasudevan +3
cs.CVcs.LGcs.MMarXiv:2205.01917v22022
Visualizing and Understanding the Effectiveness of BERT
Yaru Hao, Li Dong, Furu Wei +1
cs.CLcs.LGarXiv:1908.05620v12019
EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage
Isaac Kofi Nti
cs.CRcs.LGarXiv:2608.22721v12026
S-Chain: Structured Visual Chain-of-Thought For Medicine
Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh +21
cs.LGcs.CVarXiv:2510.22728v12025
Aligner: Efficient Alignment by Learning to Correct
Jiaming Ji, Boyuan Chen, Hantao Lou +6
cs.CLcs.AIcs.LGarXiv:2402.02416v52024
Real-World Humanoid Locomotion with Reinforcement Learning
Ilija Radosavovic, Tete Xiao, Bike Zhang +3
cs.ROcs.LGarXiv:2303.03381v22023
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
Yichao Cai, Yuhang Liu, Erdun Gao +4
cs.LGcs.CVarXiv:2504.10143v72025
Forecasting day-ahead electricity prices in Europe: the importance of considering market integration
Jesus Lago, Fjo De Ridder, Peter Vrancx +1
q-fin.STcs.CEcs.LGarXiv:1708.07061v32017
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain +4
cs.LGstat.MLarXiv:1905.11485v22019
AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions
Xianyang Liu, Shangding Gu, Dawn Song
cs.AIcs.LGarXiv:2602.06008v12026
Region-Aware CLS Token Augmentation for Fine-Grained Image Retrieval
Ian de Holanda Cavalcanti Bezerra, Vivek Trivedy, Lucas Pascotti Valem +1
cs.CVcs.LGarXiv:2610.10991v12026
GeoDose-CP: Graph-Local Conformal Inference for Continuous-Treatment Earth Observation
Md Khalid Hasan Sakib, Dristi Datta, Manoranjan Paul +1
stat.APcs.LGarXiv:2609.28895v12026
Methodological Changes to the Attention ResUNet Hourly Precipitation Postprocessor
Thomas M. Hamill
physics.ao-phcs.LGarXiv:2609.38609v12026
Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Gal Chechik +1
cs.LGarXiv:2010.04104v22020
Grounding Language Models to Images for Multimodal Inputs and Outputs
Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried
cs.CLcs.AIcs.CVarXiv:2301.13823v42023
Consistent Model Chasing Is Minimax Optimal: The Exact Value of Scalar Adversarial Adaptive Control under Large Parametric Uncertainty
Dimitar Ho
eess.SYcs.LGmath.OCarXiv:2608.13651v12026
Cyclical Learning Rates for Training Neural Networks
Leslie N. Smith
cs.CVcs.LGcs.NEarXiv:1506.01186v62015
Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Seiya Tokui, Ryosuke Okuta, Takuya Akiba +7
cs.LGcs.CVcs.DCarXiv:1908.00213v12019
When Models Manipulate Manifolds: The Geometry of a Counting Task
Wes Gurnee, Emmanuel Ameisen, Isaac Kauvar +4
cs.LGarXiv:2601.04480v12026
TIGPO: Temporal Instance-Graph Policy Optimization for Long-Horizon LLM Agents
Jinwei Gan
cs.LGarXiv:2609.03383v12026
Adversarially Robust Generalization Just Requires More Unlabeled Data
Runtian Zhai, Tianle Cai, Di He +4
cs.LGstat.MLarXiv:1906.00555v22019
Sampling Permutations for Shapley Value Estimation
Rory Mitchell, Joshua Cooper, Eibe Frank +1
stat.MLcs.LGmath.COarXiv:2104.12199v22021
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
cs.AIcs.LGcs.NEarXiv:2506.13131v12025
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models
Wenkai Yang, Yankai Lin, Peng Li +2
cs.CLcs.LGarXiv:2110.07831v12021
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Zhiguang Wang, Weizhong Yan, Tim Oates
cs.LGcs.NEstat.MLarXiv:1611.06455v42016
FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference
Gongwei Lee, Ji Liu, Juncheng Jia +1
cs.LGcs.AIcs.DCarXiv:2608.24945v12026
Summaries:한국어
NetLLM: Adapting Large Language Models for Networking
Duo Wu, Xianda Wang, Yaqi Qiao +4
cs.NIcs.LGarXiv:2402.02338v32024
Optimal CUR Matrix Decompositions
Christos Boutsidis, David P. Woodruff
cs.DScs.LGmath.NAarXiv:1405.7910v22014

Machine Learning

Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime Settings

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

Cheap to Draw, Expensive to Trust: Certifying Test-Time Scaling Curves

Practical Contextual Bandits with Regression Oracles

Structure Discovery in Nonparametric Regression through Compositional Kernel Search

(More) Efficient Reinforcement Learning via Posterior Sampling

A Four-Axis Trustworthiness Benchmark for LLM-as-Judge in Principle-Based Regulation

A Survey on Distributed Machine Learning

SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing

Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training

ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

The Geometry of Randomized Smoothing on Feasible Sets

Infinite Mixture Prototypes for Few-Shot Learning

Training Neural Machine Translation To Apply Terminology Constraints

Adversarial Feature Selection against Evasion Attacks

Towards Making the Most of BERT in Neural Machine Translation

M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues

Geometry-Aided Channel Deduction with Partial Channel Estimates and Uncalibrated Digital Twin

Unifying distillation and privileged information

Root Mean Square Layer Normalization

Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark

DDTCDR: Deep Dual Transfer Cross Domain Recommendation

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Challenges and Research Directions for Large Language Model Inference Hardware

Deep Learning and Foundation Models for Weather Prediction: A Survey

Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks

A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation

CoCa: Contrastive Captioners are Image-Text Foundation Models

Visualizing and Understanding the Effectiveness of BERT

EGAMA-RC: Risk-Calibrated Evidence-Gated Adaptive Malware Analysis for Robust and Interpretable Memory-Forensic Triage

S-Chain: Structured Visual Chain-of-Thought For Medicine

Aligner: Efficient Alignment by Learning to Correct

Real-World Humanoid Locomotion with Reinforcement Learning

On the Value of Cross-Modal Misalignment in Multimodal Representation Learning

Forecasting day-ahead electricity prices in Europe: the importance of considering market integration

Representation Learning for Dynamic Graphs: A Survey

AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions

Region-Aware CLS Token Augmentation for Fine-Grained Image Retrieval

GeoDose-CP: Graph-Local Conformal Inference for Continuous-Treatment Earth Observation

Methodological Changes to the Attention ResUNet Hourly Precipitation Postprocessor

Learning the Pareto Front with Hypernetworks

Grounding Language Models to Images for Multimodal Inputs and Outputs

Consistent Model Chasing Is Minimax Optimal: The Exact Value of Scalar Adversarial Adaptive Control under Large Parametric Uncertainty

Cyclical Learning Rates for Training Neural Networks

Chainer: A Deep Learning Framework for Accelerating the Research Cycle

When Models Manipulate Manifolds: The Geometry of a Counting Task

TIGPO: Temporal Instance-Graph Policy Optimization for Long-Horizon LLM Agents

Adversarially Robust Generalization Just Requires More Unlabeled Data

Sampling Permutations for Shapley Value Estimation

AlphaEvolve: A coding agent for scientific and algorithmic discovery

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference

NetLLM: Adapting Large Language Models for Networking

Optimal CUR Matrix Decompositions