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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21,061 to 21,120 of 33,200

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport
Derek Onken, Samy Wu Fung, Xingjian Li +1
cs.LGstat.MLarXiv:2006.00104v52020
Meta-World+: An Improved, Standardized, RL Benchmark
Reginald McLean, Evangelos Chatzaroulas, Luc McCutcheon +9
cs.AIcs.LGarXiv:2505.11289v22025
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Muhammad Waleed Gondal, Manuel Wüthrich, Đorđe Miladinović +7
stat.MLcs.LGarXiv:1906.03292v32019
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield +1
cs.CVcs.CGcs.LGarXiv:2208.01489v42022
The State-Prediction Separation Hypothesis
Giovanni Monea, Nathan Godey, Kianté Brantley +1
cs.CLcs.AIcs.LGarXiv:2607.01218v12026
Out-of-domain Detection for Natural Language Understanding in Dialog Systems
Yinhe Zheng, Guanyi Chen, Minlie Huang
cs.CLcs.AIcs.LGarXiv:1909.03862v42019
Generated Contents Enrichment
Mahdi Naseri, Jiayan Qiu, Zhou Wang
cs.CVcs.LGarXiv:2405.03650v42024
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli +2
cs.LGstat.MLarXiv:1902.00434v12019
Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment
Yan Gao, Mohammad Naseri, Javier Fernandez-Marques +19
cs.LGcs.AIarXiv:2608.25114v12026
Reciprocal Adversarial Learning via Characteristic Functions
Shengxi Li, Zeyang Yu, Min Xiang +1
cs.LGstat.MLarXiv:2006.08413v22020
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu, Doyen Sahoo, Steven C. H. Hoi
cs.CVcs.LGcs.MMarXiv:1908.03673v12019
Combined Scaling for Zero-shot Transfer Learning
Hieu Pham, Zihang Dai, Golnaz Ghiasi +9
cs.LGcs.CLcs.CVarXiv:2111.10050v32021
RADAR: Readiness for AI Discovery and Agentic Reach
Luke Jordan, Tiago C. Peixoto, Manuel Ramos-Maqueda
cs.CYcs.LGarXiv:2609.28480v12026
A Full Adam Theorem for Spectral Heavy-Tail Onset
Zongmin Liu
cs.LGmath.PRstat.MLarXiv:2609.12996v12026
Compressed Recurrent Feedback in Tsetlin Machines: A Reproducible Boolean-FSM Study
Ankit Kumar, Utkarsh Raj, Rishad Shafik +1
cs.LGarXiv:2609.06133v12026
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong +7
cs.ROcs.AIcs.LGarXiv:2108.03298v22021
Lasting Effects of Abstract Pretraining Beyond Perplexity
Zachary Shinnick, Hemanth Saratchandran, Damien Teney +1
cs.LGarXiv:2609.38764v12026
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum +1
cs.ROcs.AIcs.LGarXiv:2301.05223v12023
Graph Few-shot Learning via Knowledge Transfer
Huaxiu Yao, Chuxu Zhang, Ying Wei +5
cs.LGstat.MLarXiv:1910.03053v32019
Deception Abilities Emerged in Large Language Models
Thilo Hagendorff
cs.CLcs.AIcs.LGarXiv:2307.16513v22023
It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
Zhongzheng Qiao, Sheng Pan, Anni Wang +7
cs.LGarXiv:2602.12147v42026
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal +1
cs.LGarXiv:1706.03880v22017
Transformers Learn Shortcuts to Automata
Bingbin Liu, Jordan T. Ash, Surbhi Goel +2
cs.LGcs.FLstat.MLarXiv:2210.10749v22022
AVO: Agentic Variation Operators for Autonomous Evolutionary Search
Terry Chen, Zhifan Ye, Bing Xu +20
cs.LGarXiv:2603.24517v12026
CausalDreamer: Learning Predictive World Models with Latent Disentanglement
Prince Jha, Nils Lukas, Kun Zhang +1
cs.LGarXiv:2610.12016v12026
Self-supervised Learning: Generative or Contrastive
Xiao Liu, Fanjin Zhang, Zhenyu Hou +4
cs.LGstat.MLarXiv:2006.08218v52020
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar +1
cs.LGarXiv:1709.04570v12017
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Stefano Cerri, Oula Puonti, Dominik S. Meier +4
eess.IVcs.CVcs.LGarXiv:2005.05135v22020
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web
Arjun Majumdar, Ayush Shrivastava, Stefan Lee +3
cs.CVcs.AIcs.CLarXiv:2004.14973v22020
Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor Attacks
Aashiq Muhamed, Mona T. Diab, Virginia Smith +2
cs.LGcs.AIcs.CLarXiv:2609.15029v12026
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning
Sébastien Forestier, Rémy Portelas, Yoan Mollard +1
cs.AIcs.LGarXiv:1708.02190v32017
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu +9
cs.LGcs.IRarXiv:2402.17152v32024
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang +5
cs.AIcs.LGarXiv:2305.16291v22023
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin +1
cs.LGstat.MLarXiv:1911.03082v22019
Score-Based Learning of Cluster DAGs from Interventions
Gaetano Tedesco, Alex Markham
stat.MLcs.LGarXiv:2610.11947v12026
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey
Görkem Algan, Ilkay Ulusoy
cs.LGcs.CVstat.MLarXiv:1912.05170v32019
How Do Classifiers Induce Agents To Invest Effort Strategically?
Jon Kleinberg, Manish Raghavan
cs.LGcs.CYcs.DSarXiv:1807.05307v52018
LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model
Zebin You, Xiaolu Zhang, Jun Zhou +2
cs.CVcs.LGarXiv:2603.01068v12026
The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
Nur Ahmed, Muntasir Wahed
cs.CYcs.LGarXiv:2010.15581v12020
When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation
Cong Cao
cs.AIcs.LGstat.MEarXiv:2609.00071v12026
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1804.06451v22018
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang, Hoang Anh Just, Yifan Sun +5
cs.LGcs.AIcs.CLarXiv:2405.02774v12024
EP-Flow: Disordered Crystal Structure Prediction without Site-Level Annotations
Qiuliang Liu, Liming Wu, Qi Li +5
cs.LGcond-mat.dis-nnarXiv:2610.01315v12026
On the Two Faces of Adam in Separable Linear Classification
Chen Fan, Csaba Szepesvári
cs.LGarXiv:2609.33904v12026
Reliable Conflictive Multi-View Learning
Cai Xu, Jiajun Si, Ziyu Guan +3
cs.LGcs.AIarXiv:2402.16897v22024
Recent Advances in Imitation Learning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
cs.ROcs.AIcs.LGarXiv:1905.13566v22019
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning
Zhixiong Yang, Waheed U. Bajwa
cs.LGcs.DCmath.OCarXiv:1708.08155v42017
Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings
Jiangang Han
math.STcs.AIcs.LGarXiv:2607.13918v12026
Strategic Investment Decision Making for Value Creation in Energy Transition: A Reinforcement Learning Approach
Yasaman Cheraghi, Reidar B. Bratvold, Aojie Hong +2
cs.CEcs.LGcs.SYarXiv:2610.10768v12026
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park, Sumudu Samarakoon, Anis Elgabli +4
cs.LGcs.ITcs.NIarXiv:2008.02608v12020
Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4
eess.SYcs.LGmath.OCarXiv:2608.25095v12026
A Concept-Based Explainability Framework for Large Multimodal Models
Jayneel Parekh, Pegah Khayatan, Mustafa Shukor +2
cs.LGcs.AIcs.CLarXiv:2406.08074v32024
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
John Asmuth, Lihong Li, Michael L. Littman +2
cs.LGarXiv:1205.2664v12012
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh +1
eess.IVcs.CVcs.LGarXiv:1912.05074v22019
Titans: Learning to Memorize at Test Time
Ali Behrouz, Peilin Zhong, Vahab Mirrokni
cs.LGcs.AIcs.CLarXiv:2501.00663v12024
On the regularization of Wasserstein GANs
Henning Petzka, Asja Fischer, Denis Lukovnikov
stat.MLcs.LGarXiv:1709.08894v32017
Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks
Haoyu Zhao, Zhengxu Yu, Zhiyuan He +5
cs.AIcs.CLcs.CVarXiv:2610.11794v12026
NeuroCard: One Cardinality Estimator for All Tables
Zongheng Yang, Amog Kamsetty, Sifei Luan +4
cs.DBcs.LGarXiv:2006.08109v22020
Merging Models with Fisher-Weighted Averaging
Michael Matena, Colin Raffel
cs.LGarXiv:2111.09832v22021
Spatio-Temporal Data Mining: A Survey of Problems and Methods
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
cs.LGcs.AIcs.CVarXiv:1711.04710v22017

Machine Learning

OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

Meta-World+: An Improved, Standardized, RL Benchmark

On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter

The State-Prediction Separation Hypothesis

Out-of-domain Detection for Natural Language Understanding in Dialog Systems

Generated Contents Enrichment

Generalized Sliced Wasserstein Distances

Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment

Reciprocal Adversarial Learning via Characteristic Functions

Recent Advances in Deep Learning for Object Detection

Combined Scaling for Zero-shot Transfer Learning

RADAR: Readiness for AI Discovery and Agentic Reach

A Full Adam Theorem for Spectral Heavy-Tail Onset

Compressed Recurrent Feedback in Tsetlin Machines: A Reproducible Boolean-FSM Study

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Lasting Effects of Abstract Pretraining Beyond Perplexity

NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants

Graph Few-shot Learning via Knowledge Transfer

Deception Abilities Emerged in Large Language Models

It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection

Transformers Learn Shortcuts to Automata

AVO: Agentic Variation Operators for Autonomous Evolutionary Search

CausalDreamer: Learning Predictive World Models with Latent Disentanglement

Self-supervised Learning: Generative or Contrastive

Learning Unknown Markov Decision Processes: A Thompson Sampling Approach

A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Improving Vision-and-Language Navigation with Image-Text Pairs from the Web

Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor Attacks

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Voyager: An Open-Ended Embodied Agent with Large Language Models

Composition-based Multi-Relational Graph Convolutional Networks

Score-Based Learning of Cluster DAGs from Interventions

Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey

How Do Classifiers Induce Agents To Invest Effort Strategically?

LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model

The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research

When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation

Multi-Reward Reinforced Summarization with Saliency and Entailment

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs

EP-Flow: Disordered Crystal Structure Prediction without Site-Level Annotations

On the Two Faces of Adam in Separable Linear Classification

Reliable Conflictive Multi-View Learning

Recent Advances in Imitation Learning from Observation

ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning

Partially Correlated Verifier Cascades in LLM Harnesses: Concave Log-Odds, Polynomial Reliability, and Blind-Spot Ceilings

Strategic Investment Decision Making for Value Creation in Energy Transition: A Reinforcement Learning Approach

Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications

Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration

A Concept-Based Explainability Framework for Large Multimodal Models

A Bayesian Sampling Approach to Exploration in Reinforcement Learning

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Titans: Learning to Memorize at Test Time

On the regularization of Wasserstein GANs

Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks

NeuroCard: One Cardinality Estimator for All Tables

Merging Models with Fisher-Weighted Averaging

Spatio-Temporal Data Mining: A Survey of Problems and Methods