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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16,501 to 16,560 of 20,199

Shared Nature, Unique Nurture: PRISM for Pluralistic Reasoning via In-context Structure Modeling
Guancheng Tu, Shiyang Zhang, Tianyu Zhang +2
cs.LGarXiv:2602.21317v12026
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
JuneHyoung Kwon, MiHyeon Kim, Eunju Lee +3
cs.LGcs.CVarXiv:2602.21773v12026
Token-Level Likelihood-Array Regression for Membership Inference and AI-Generated Text Detection
Jiajun Sun, Zhanrui Cai
stat.MLcs.LGstat.MEarXiv:2608.22179v12026
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu, Tony Z. Zhao, Chelsea Finn
cs.ROcs.AIcs.CVarXiv:2401.02117v12024
Multi-Head Low-Rank Attention
Songtao Liu, Hongwu Peng, Zhiwei Zhang +2
cs.LGarXiv:2603.02188v12026
Reward Constrained Policy Optimization
Chen Tessler, Daniel J. Mankowitz, Shie Mannor
cs.LGcs.AIstat.MLarXiv:1805.11074v32018
Feature Learning based Deep Supervised Hashing with Pairwise Labels
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
cs.LGcs.CVarXiv:1511.03855v22015
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent
cs.LGcs.SDstat.MLarXiv:1206.6392v12012
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan, Edouard Grave, Armand Joulin
cs.LGcs.CLstat.MLarXiv:1909.11556v12019
SANE: State Anomaly Neutralization for Stable Extreme-Context Delta-Rule Models
Qingwen Lin, Boyan Xu, Xiao Liu +2
cs.LGcs.AIarXiv:2608.22354v22026
Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets
Hanna Yukhymenko, Anton Alexandrov, Martin Vechev
cs.CLcs.AIcs.LGarXiv:2602.22207v12026
Learning from the Test: Self-Referential Differential Testing for Deep RL Agents
Junda He, Jieke Shi, Zhou Yang +2
cs.SEcs.AIcs.LGarXiv:2608.22284v12026
veScale-FSDP: Flexible and High-Performance FSDP at Scale
Zezhou Wang, Youjie Li, Zhiqi Lin +9
cs.DCcs.AIcs.LGarXiv:2602.22437v32026
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation
Dawei Gao, Haibin Wang, Yaliang Li +4
cs.DBcs.CLcs.LGarXiv:2308.15363v42023
Mollified Value Learning
Hrishikesh Viswanath, Juanwu Lu, S. Talha Bukhari +4
cs.LGcs.ROarXiv:2602.23280v22026
DySCo: Dynamically consistent data-driven downscaling of extremes in climate projections
S. Stamatelopoulos, M. Wang, I. Lopez-Gomez +5
cs.LGmath.NAphysics.ao-pharXiv:2608.21998v12026
Scalable Global Optimization via Local Bayesian Optimization
David Eriksson, Michael Pearce, Jacob R Gardner +2
cs.LGstat.MLarXiv:1910.01739v42019
DynaMoE: Dynamic Token-Level Expert Activation with Layer-Wise Adaptive Capacity for Mixture-of-Experts Neural Networks
Gökdeniz Gülmez
cs.LGcs.AIarXiv:2603.01697v12026
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh +1
cs.CVcs.AIcs.CLarXiv:1712.00377v22017
Order-independent constraint-based causal structure learning
Diego Colombo, Marloes H. Maathuis
stat.MLcs.LGarXiv:1211.3295v22012
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun +2
cs.LGcs.AIarXiv:1703.08475v32017
Are Emergent Abilities of Large Language Models a Mirage?
Rylan Schaeffer, Brando Miranda, Sanmi Koyejo
cs.AIcs.LGarXiv:2304.15004v22023
Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces
Karan Gupta, Pranav Vajreshwari, Yash Pandya +3
cs.LGcs.AIarXiv:2603.06713v12026
A Probabilistic U-Net for Segmentation of Ambiguous Images
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer +6
cs.CVcs.LGcs.NEarXiv:1806.05034v42018
Deep Learning for Computational Chemistry
Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu
stat.MLcs.AIcs.CEarXiv:1701.04503v12017
SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
Subramanyam Sahoo, Aman Chadha, Vinija Jain +1
cs.AIcs.CLcs.LGarXiv:2603.06333v12026
Invertible Residual Networks
Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen +2
cs.LGcs.AIcs.CVarXiv:1811.00995v32018
Beyond Fresh Starts: Stateful Inference for Streaming ASR in Conversational Voice Agents
Sameep Chattopadhyay, Alexander Erdmann, Mari Ostendorf
cs.LGarXiv:2608.22101v12026
ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer
Chunyuan Deng, Sanket Lokegaonkar, Colin Lockard +3
cs.CLcs.LGarXiv:2603.03583v12026
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn, Kelvin Xu, Sergey Levine
cs.LGcs.AIstat.MLarXiv:1806.02817v22018
Risk-Sensitive Reinforcement Learning with Smoothed Quantile Objectives
Mohammad Alipour-Vaezi, Huaiyang Zhong, Sajad Khodadadian
cs.LGmath.OCarXiv:2608.22227v12026
A Little Is Enough: Circumventing Defenses For Distributed Learning
Moran Baruch, Gilad Baruch, Yoav Goldberg
cs.LGcs.CRcs.DCarXiv:1902.06156v12019
Layer by layer, module by module: Choose both for optimal OOD probing of ViT
Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel +2
cs.CVcs.LGstat.MLarXiv:2603.05280v12026
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
Robert David, Jared Duke, Advait Jain +10
cs.LGcs.AIarXiv:2010.08678v32020
PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction
Xiang Zhang, Sohyun Yoo, Hongrui Wu +3
cs.CVcs.GRcs.LGarXiv:2603.05888v12026
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo +4
cs.LGcs.NEstat.MLarXiv:1611.02648v22016
DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking
Akash Haridas, Utkarsh Saxena, Parsa Ashrafi Fashi +3
cs.CVcs.AIcs.LGarXiv:2603.06351v22026
Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness
Yehonatan Elisha, Oren Barkan, Noam Koenigstein
cs.CVcs.AIcs.LGarXiv:2603.08309v22026
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang, Jonas Peters, Dominik Janzing +1
cs.LGstat.MLarXiv:1202.3775v12012
Diffusion Models for Adversarial Purification
Weili Nie, Brandon Guo, Yujia Huang +3
cs.LGcs.CRcs.CVarXiv:2205.07460v12022
GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning
Jun Chen, Yongchao Liu, Pengyu Qiu +6
cs.CLcs.LGarXiv:2608.22479v12026
Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
Cosmo Santoni, Anmol Thapar
cs.LGcs.AIcs.DCarXiv:2603.09555v22026
Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context
Keivan Alizadeh, Parshin Shojaee, Minsik Cho +1
cs.CLcs.AIcs.LGarXiv:2603.15653v12026
Neural Text Generation with Unlikelihood Training
Sean Welleck, Ilia Kulikov, Stephen Roller +3
cs.LGcs.CLstat.MLarXiv:1908.04319v22019
Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
Chuxue Cao, Honglin Lin, Zhanping Zhong +5
cs.LGarXiv:2603.07223v12026
A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs
Raghavv Goel, Risheek Garrepalli, Sudhanshu Agrawal +3
cs.CLcs.LGarXiv:2603.07475v42026
Gaussian process learning with flow map refinement for parameter estimation in dynamical systems
Yue Hao, Dongwei Ye
cs.LGcs.CEmath.NAarXiv:2608.22324v12026
TasNet: time-domain audio separation network for real-time, single-channel speech separation
Yi Luo, Nima Mesgarani
cs.SDcs.LGcs.MMarXiv:1711.00541v22017
MusicLM: Generating Music From Text
Andrea Agostinelli, Timo I. Denk, Zalán Borsos +10
cs.SDcs.LGeess.ASarXiv:2301.11325v12023
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
Nan Jiang, Lihong Li
cs.LGcs.AIeess.SYarXiv:1511.03722v32015
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
cs.MAcs.AIcs.LGarXiv:1810.05587v32018
BiCLIP: Domain Canonicalization via Structured Geometric Transformation
Pranav Mantini, Shishir K. Shah
cs.CVcs.AIcs.CLarXiv:2603.08942v22026
The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness
Subramanyam Sahoo, Aman Chadha, Vinija Jain +1
cs.AIcs.CLcs.CYarXiv:2603.09200v12026
Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning
Peihao Wang, Shan Yang, Xijun Wang +8
cs.LGarXiv:2603.09221v22026
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini +2
stat.MLcs.CLcs.LGarXiv:2102.05379v32021
Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
Xin Chen, Lingxi Xie, Jun Wu +1
cs.CVcs.LGarXiv:1904.12760v12019
Towards a Neural Debugger for Python
Maximilian Beck, Jonas Gehring, Jannik Kossen +1
cs.LGcs.AIcs.SEarXiv:2603.09951v12026
MLPerf Inference Benchmark
Vijay Janapa Reddi, Christine Cheng, David Kanter +44
cs.LGcs.PFstat.MLarXiv:1911.02549v22019
Self-Execution Simulation Improves Coding Models
Gallil Maimon, Ori Yoran, Felix Kreuk +4
cs.CLcs.LGarXiv:2604.03253v12026
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín +3
cs.CVcs.LGarXiv:1907.03395v22019

Machine Learning

Shared Nature, Unique Nurture: PRISM for Pluralistic Reasoning via In-context Structure Modeling

Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias

Token-Level Likelihood-Array Regression for Membership Inference and AI-Generated Text Detection

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Multi-Head Low-Rank Attention

Reward Constrained Policy Optimization

Feature Learning based Deep Supervised Hashing with Pairwise Labels

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription

Reducing Transformer Depth on Demand with Structured Dropout

SANE: State Anomaly Neutralization for Stable Extreme-Context Delta-Rule Models

Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets

Learning from the Test: Self-Referential Differential Testing for Deep RL Agents

veScale-FSDP: Flexible and High-Performance FSDP at Scale

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Mollified Value Learning

DySCo: Dynamically consistent data-driven downscaling of extremes in climate projections

Scalable Global Optimization via Local Bayesian Optimization

DynaMoE: Dynamic Token-Level Expert Activation with Layer-Wise Adaptive Capacity for Mixture-of-Experts Neural Networks

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Order-independent constraint-based causal structure learning

Overcoming Catastrophic Forgetting by Incremental Moment Matching

Are Emergent Abilities of Large Language Models a Mirage?

Scaling Agentic Capabilities, Not Context: Efficient Reinforcement Finetuning for Large Toolspaces

A Probabilistic U-Net for Segmentation of Ambiguous Images

Deep Learning for Computational Chemistry

SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement

Invertible Residual Networks

Beyond Fresh Starts: Stateful Inference for Streaming ASR in Conversational Voice Agents

ByteFlow: Language Modeling through Adaptive Byte Compression without a Tokenizer

Probabilistic Model-Agnostic Meta-Learning

Risk-Sensitive Reinforcement Learning with Smoothed Quantile Objectives

A Little Is Enough: Circumventing Defenses For Distributed Learning

Layer by layer, module by module: Choose both for optimal OOD probing of ViT

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

DC-DiT: Adaptive Compute and Elastic Inference for Visual Generation via Dynamic Chunking

Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness

Kernel-based Conditional Independence Test and Application in Causal Discovery

Diffusion Models for Adversarial Purification

GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning

Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference

Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context

Neural Text Generation with Unlikelihood Training

Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs

Gaussian process learning with flow map refinement for parameter estimation in dynamical systems

TasNet: time-domain audio separation network for real-time, single-channel speech separation

MusicLM: Generating Music From Text

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

A Survey and Critique of Multiagent Deep Reinforcement Learning

BiCLIP: Domain Canonicalization via Structured Geometric Transformation

The Reasoning Trap -- Logical Reasoning as a Mechanistic Pathway to Situational Awareness

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation

Towards a Neural Debugger for Python

MLPerf Inference Benchmark

Self-Execution Simulation Improves Coding Models

Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks