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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23,101 to 23,160 of 33,645

DAWN: Noise-Robust Quadruped Parkour via Depth-Denoising World Models
Yohan Choi, Min-Jun Kim, Jin-Sung Kim +2
cs.ROcs.AIcs.CVarXiv:2609.29092v12026
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks
Ziqian Zhong, Ziming Liu, Max Tegmark +1
cs.LGarXiv:2306.17844v22023
R3M: A Universal Visual Representation for Robot Manipulation
Suraj Nair, Aravind Rajeswaran, Vikash Kumar +2
cs.ROcs.AIcs.CVarXiv:2203.12601v32022
Language-driven Semantic Segmentation
Boyi Li, Kilian Q. Weinberger, Serge Belongie +2
cs.CVcs.CLcs.LGarXiv:2201.03546v22022
Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization
Srijan Sood, Kassiani Papasotiriou, Marius Vaiciulis +1
q-fin.PMcs.AIcs.LGarXiv:2602.17098v12026
Adversarially Robust Optimization with Gaussian Processes
Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka +1
stat.MLcs.LGarXiv:1810.10775v22018
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar, Mannat Singh, Andrew Brown +7
cs.CVcs.AIcs.GRarXiv:2311.10709v22023
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu, Zilan Wang, Leyang Li +2
cs.CVcs.AIcs.LGarXiv:2403.06135v12024
Tree Tensor Networks for Generative Modeling
Song Cheng, Lei Wang, Tao Xiang +1
stat.MLcond-mat.stat-mechcs.LGarXiv:1901.02217v12019
Density Ratio Estimation with Stein Displacement Fields
Song Liu
stat.MLcs.LGarXiv:2610.12437v12026
Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks
Tai-Yu Ma, Sébastien Faye
cs.LGcs.NEarXiv:2106.04986v22021
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman, Yevgen Chebotar, Stefan Schaal +2
cs.ROcs.LGarXiv:1705.10479v22017
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas, Cole Gulino, Renjie Liao +1
cs.CVcs.LGcs.ROarXiv:1910.08233v12019
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed M. Alaa, Mihaela van der Schaar
cs.LGarXiv:1704.02801v22017
Densely Multiplied Physics Informed Neural Networks
Feilong Jiang, Xiaonan Hou, Min Xia
cs.LGcs.AIarXiv:2402.04390v32024
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach +3
cs.CVcs.AIcs.LGarXiv:1812.01717v22018
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
Christopher Rawles, Sarah Clinckemaillie, Yifan Chang +12
cs.AIcs.LGarXiv:2405.14573v52024
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Jianhong Wang, Yuan Zhang, Tae-Kyun Kim +1
cs.LGcs.AIcs.MAarXiv:1907.05707v62019
Representation Benefits of Deep Feedforward Networks
Matus Telgarsky
cs.LGcs.NEarXiv:1509.08101v22015
Federated Transfer Learning for EEG Signal Classification
Ce Ju, Dashan Gao, Ravikiran Mane +3
cs.LGeess.SParXiv:2004.12321v52020
Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps
Michael Vasilakakis, Dimitris K. Iakovidis
cs.LGcs.AIarXiv:2610.00391v12026
Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
Shizheng Wen, Arsh Kumbhat, Levi Lingsch +4
cs.LGarXiv:2505.18781v42025
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Se-Young Yun, Alexandre Proutiere
math.PRcs.LGcs.SIarXiv:1510.05956v62015
On the Effectiveness of Parameter-Efficient Fine-Tuning
Zihao Fu, Haoran Yang, Anthony Man-Cho So +3
cs.CLcs.AIcs.LGarXiv:2211.15583v12022
Resource-Adaptive Primal-Dual Learning for One-Warehouse Multi-Store Systems with Censored Demand
Jiameng Lyu
cs.LGmath.OCarXiv:2608.14096v12026
P+: Extended Textual Conditioning in Text-to-Image Generation
Andrey Voynov, Qinghao Chu, Daniel Cohen-Or +1
cs.CVcs.CLcs.GRarXiv:2303.09522v32023
A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM
Alkin Kaz, Arda Kaz, Ellen D. Zhong
q-bio.BMcs.LGarXiv:2608.25388v12026
Physics-Informed Neural Networks for Depth-Averaged Granular Avalanche Dynamics on Curved Topography
Pujan Pranavkumar Purohit, Pradyumn Singh Sikarwar, Vishal Sharma +1
cond-mat.softcs.CEcs.LGarXiv:2609.05542v12026
A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture
Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4
cs.LGmath.NAarXiv:2608.24126v12026
Hallucination in World Models is Predictable and Preventable
Nicklas Hansen, Xiaolong Wang
cs.LGcs.CVcs.ROarXiv:2606.27326v12026
Auditing and Repairing LLM-as-Judge Failures in a Production Text-to-SQL Pipeline
Haowei Liu, Hsin-Tai Wu, Yi Fang
cs.CLcs.LGarXiv:2609.30290v12026
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
David Yallup, Namu Kroupa, Will Handley
stat.COcs.LGstat.MLarXiv:2601.23252v22026
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang, Yangdong Liu, Haotong Qin +5
cs.LGcs.AIcs.CLarXiv:2402.04291v22024
Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du, Olivia Watkins, Zihan Wang +5
cs.LGcs.AIcs.CLarXiv:2302.06692v22023
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Hoyle, Pranav Goel, Denis Peskov +3
cs.CLcs.LGarXiv:2107.02173v32021
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai, Wei-Cheng Chang, Yiming Yang +1
cs.LGarXiv:1703.07015v32017
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha +3
cs.CRcs.LGcs.NEarXiv:1511.07528v12015
PICPIs: Prediction-Interval-Conditional Prediction Intervals
Xuelin Yang, Baihe Huang, Yilong Hou +2
stat.MLcs.AIcs.LGarXiv:2609.25388v12026
Algorithms for nonnegative matrix factorization with the beta-divergence
Cédric Févotte, Jérôme Idier
cs.LGarXiv:1010.1763v32010
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk, Elif Ozkirimli, Arzucan Özgür
stat.MLcs.LGarXiv:1801.10193v22018
Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Jing Wang, Shuaiqiang Liu, Cornelis Vuik
q-fin.CPcs.AIcs.LGarXiv:2609.00332v12026
The Risks of Invariant Risk Minimization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
cs.LGcs.AIstat.MLarXiv:2010.05761v22020
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
cs.CLcs.IRcs.LGarXiv:1907.05576v12019
Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents
Yujun Zhou, Kehan Guo, Haomin Zhuang +8
cs.LGcs.CLarXiv:2606.13174v12026
LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations
Catherine Tony, Markus Mutas, Nicolás E. Díaz Ferreyra +1
cs.SEcs.IRcs.LGarXiv:2303.09384v12023
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang +1
cs.LGcs.CLstat.MLarXiv:1911.09419v32019
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li +8
cs.CLcs.AIcs.LGarXiv:2601.22588v22026
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
Haonan Wang, Peng Cao, Jiaqi Wang +1
cs.CVcs.LGeess.IVarXiv:2109.04335v32021
On the Effect of Dropping Layers of Pre-trained Transformer Models
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +1
cs.CLcs.LGarXiv:2004.03844v32020
SwitchNet: a neural network model for forward and inverse scattering problems
Yuehaw Khoo, Lexing Ying
math.NAcs.LGarXiv:1810.09675v12018
Joint Embedding of Words and Labels for Text Classification
Guoyin Wang, Chunyuan Li, Wenlin Wang +5
cs.CLcs.LGarXiv:1805.04174v12018
Neural Ideals and Neural Codes: An Algebraic Framework for Neural Network Classification and Feature Interpretation
Venkata Subbaiah Yerrapati, Rahul Dixit, Ajay Kumar Shukla
cs.LGmath.ACarXiv:2609.30279v12026
Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
Luca Miglior, Matteo Tolloso, Alessio Gravina +1
cs.LGarXiv:2512.17762v22025
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
Hao Kang, Qingru Zhang, Souvik Kundu +4
cs.LGcs.AIcs.CLarXiv:2403.05527v42024
The MineRL BASALT Competition on Learning from Human Feedback
Rohin Shah, Cody Wild, Steven H. Wang +10
cs.LGcs.AIarXiv:2107.01969v12021
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun +7
cs.LGcs.AIcs.CLarXiv:2410.01943v12024
Summaries:简体中文
Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction
Yousra El-Bachir, Frederik Van der Veken, Davide di Croce +4
physics.acc-phcs.LGarXiv:2609.08620v12026
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks
David Rindt, Robert Hu, David Steinsaltz +1
stat.MLcs.LGarXiv:2103.14755v22021
VirtualHome: Simulating Household Activities via Programs
Xavier Puig, Kevin Ra, Marko Boben +4
cs.CVcs.AIcs.LGarXiv:1806.07011v12018
Latent Adversarial Regularization for Offline Preference Optimization
Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu +3
cs.LGcs.AIarXiv:2601.22083v22026

Machine Learning

DAWN: Noise-Robust Quadruped Parkour via Depth-Denoising World Models

The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

R3M: A Universal Visual Representation for Robot Manipulation

Language-driven Semantic Segmentation

Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization

Adversarially Robust Optimization with Gaussian Processes

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

MACE: Mass Concept Erasure in Diffusion Models

Tree Tensor Networks for Generative Modeling

Density Ratio Estimation with Stein Displacement Fields

Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks

Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets

Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes

Densely Multiplied Physics Informed Neural Networks

Towards Accurate Generative Models of Video: A New Metric & Challenges

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

Representation Benefits of Deep Feedforward Networks

Federated Transfer Learning for EEG Signal Classification

Interpretable Synthetic Medical Tabular Data Generation for Clinical Decision Support Using Fuzzy Cognitive Maps

Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains

Optimal Cluster Recovery in the Labeled Stochastic Block Model

On the Effectiveness of Parameter-Efficient Fine-Tuning

Resource-Adaptive Primal-Dual Learning for One-Warehouse Multi-Store Systems with Censored Demand

P+: Extended Textual Conditioning in Text-to-Image Generation

A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM

Physics-Informed Neural Networks for Depth-Averaged Granular Avalanche Dynamics on Curved Topography

A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture

Hallucination in World Models is Predictable and Preventable

Auditing and Repairing LLM-as-Judge Failures in a Production Text-to-SQL Pipeline

Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Guiding Pretraining in Reinforcement Learning with Large Language Models

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks

The Limitations of Deep Learning in Adversarial Settings

PICPIs: Prediction-Interval-Conditional Prediction Intervals

Algorithms for nonnegative matrix factorization with the beta-divergence

DeepDTA: Deep Drug-Target Binding Affinity Prediction

Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces

The Risks of Invariant Risk Minimization

Neural News Recommendation with Attentive Multi-View Learning

Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents

LLMSecEval: A Dataset of Natural Language Prompts for Security Evaluations

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

On the Effect of Dropping Layers of Pre-trained Transformer Models

SwitchNet: a neural network model for forward and inverse scattering problems

Joint Embedding of Words and Labels for Text Classification

Neural Ideals and Neural Codes: An Algebraic Framework for Neural Network Classification and Feature Interpretation

Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM

The MineRL BASALT Competition on Learning from Human Feedback

CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Flexible Spectral-Normalized Neural Gaussian Process for Dynamic Aperture Prediction

Survival Regression with Proper Scoring Rules and Monotonic Neural Networks

VirtualHome: Simulating Household Activities via Programs

Latent Adversarial Regularization for Offline Preference Optimization