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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21,421 to 21,480 of 33,587

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
Junyu Chen, Jungang Li, Jing Xiong +11
cs.LGarXiv:2602.04163v22026
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang +4
cs.CVcs.LGarXiv:1907.05737v42019
Natural Backdoor Attacks on Speech Recognition Models
Jinwen Xin, Xixiang Lyu, Jing Ma
cs.CRcs.LGcs.SDarXiv:2607.15724v12026
The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering
Yefan Zhou, Yilun Zhou, Austin Xu +3
cs.LGcs.AIcs.CLarXiv:2605.20745v12026
A parameter-free hedging algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
cs.LGcs.AIarXiv:0903.2851v22009
PatternBoost: Constructions in Mathematics with a Little Help from AI
François Charton, Jordan S. Ellenberg, Adam Zsolt Wagner +1
math.COcs.LGarXiv:2411.00566v12024
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Yaxin Li, Wei Jin, Han Xu +1
cs.LGcs.CRstat.MLarXiv:2005.06149v12020
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal, Ali Shahin Shamsabadi, Matt J. Kusner +1
cs.CRcs.LGarXiv:1907.03372v12019
On BatchNorm Forward Modes in Value-Based Reinforcement Learning
Daniel Palenicek, Mikael Henaff, Scott Fujimoto +1
cs.LGcs.AIarXiv:2609.06421v12026
What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics
Sofiia Nikolenko, Michele Papucci, Mina Rezaei +1
cs.CLcs.AIcs.LGarXiv:2606.25182v12026
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen, Chang Liu, Bo Li +2
cs.CRcs.LGarXiv:1712.05526v12017
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
math.OCcs.DScs.LGarXiv:2011.00364v22020
Online Change-point Detection for Cooperative Multi-Agent Reinforcement Learning
Fatemeh Saberi Khomami, Julita Vassileva
cs.MAcs.LGarXiv:2609.05298v12026
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen, Lior Fox, Zohar Aizenbud +1
cs.CLcs.AIcs.LGarXiv:1907.01752v42019
Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression
Alberto Caron, Tianyu Cui, Dmytro S. Lituiev +13
cs.AIcs.LGarXiv:2610.03098v12026
Learning Where to Steer: Noise-Space Geometry for Efficient Offline Multi-Objective Optimization with Generative Models
Yuan Lu, Esha Singh, Yi-An Ma +1
cs.LGarXiv:2609.38920v12026
MSM-Mem: A Universal Medical Structured Multimodal Memory Framework for Medical AI Agents
Md Asaduzzaman Jabin, Khoa Le, Lin Zhao +1
cs.LGcs.CVarXiv:2608.21810v12026
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
Simon S. Du, Wei Hu, Jason D. Lee
cs.LGmath.OCstat.MLarXiv:1806.00900v22018
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang, Haoran Dou, Xiaowei Hu +7
eess.IVcs.AIcs.CVarXiv:1907.01743v22019
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
Joao Carvalho, An T. Le, Mark Baierl +2
cs.ROcs.AIcs.LGarXiv:2308.01557v22023
New Snake-in-the-Box Records via Snakepit Surgery and Learned Construction
Paul Orland, Lucas Fagan, Michele Tarquini +7
cs.DMcs.AIcs.LGarXiv:2607.15270v32026
Camera Measurement of Physiological Vital Signs
Daniel McDuff
cs.CVcs.LGeess.IVarXiv:2111.11547v12021
Verbalizable Representations Form a Global Workspace in Language Models
Wes Gurnee, Nicholas Sofroniew, Adam Pearce +13
cs.CLcs.AIcs.LGarXiv:2607.15495v12026
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang, Luoqiu Li, Xiang Chen +5
cs.CLcs.AIcs.CVarXiv:2108.13161v72021
PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models
Vignesh Kothapalli, Rishabh Ranjan, Valter Hudovernik +4
cs.DBcs.AIcs.LGarXiv:2602.04029v22026
LongNet: Scaling Transformers to 1,000,000,000 Tokens
Jiayu Ding, Shuming Ma, Li Dong +5
cs.CLcs.LGarXiv:2307.02486v22023
Generative Models for Automatic Chemical Design
Daniel Schwalbe-Koda, Rafael Gómez-Bombarelli
cs.LGphysics.chem-phstat.MLarXiv:1907.01632v12019
Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning
Jinyang Wu, Shuo Yang, Changpeng Yang +4
cs.LGcs.CLarXiv:2601.20209v22026
Recurrent Neural Networks (RNNs): A gentle Introduction and Overview
Robin M. Schmidt
cs.LGstat.MLarXiv:1912.05911v12019
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents
Suji Kim, Kangsan Kim, Sung Ju Hwang
cs.LGcs.AIcs.CLarXiv:2605.28775v12026
Beyond Fresh Starts: Stateful Inference for Streaming ASR in Conversational Voice Agents
Sameep Chattopadhyay, Alexander Erdmann, Mari Ostendorf
cs.LGarXiv:2608.22101v12026
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals
Yimin Hou, Shuyue Jia, Xiangmin Lun +5
eess.SPcs.LGcs.NEarXiv:2006.08924v42020
Deep vs. shallow networks : An approximation theory perspective
Hrushikesh Mhaskar, Tomaso Poggio
cs.LGmath.FAarXiv:1608.03287v12016
HVI: A New Color Space for Low-light Image Enhancement
Qingsen Yan, Yixu Feng, Cheng Zhang +6
cs.CVcs.AIcs.LGarXiv:2502.20272v22025
A JoLT for the KV cache: Near-Lossless KV Cache Compression via Joint Rank-bit Allocation
Rahul Krishnan, Volker Schulz
cs.LGcs.CLmath.OCarXiv:2607.12550v42026
Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed +1
eess.IVcs.CVcs.LGarXiv:2305.18453v52023
The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order
John Sweeney
cs.LGarXiv:2606.24993v12026
Modeling Tabular data using Conditional GAN
Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante +1
cs.LGstat.MLarXiv:1907.00503v22019
Reviving and Improving Recurrent Back-Propagation
Renjie Liao, Yuwen Xiong, Ethan Fetaya +5
cs.LGstat.MLarXiv:1803.06396v42018
Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs
James O. Baldwin, Shy Genel, Francisco Villaescusa-Navarro
astro-ph.COcs.LGarXiv:2609.09504v12026
Adaptive Bound Optimization for Online Convex Optimization
H. Brendan McMahan, Matthew Streeter
cs.LGarXiv:1002.4908v22010
Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering
Zeyu Lin, Chaoqi Jia, Longkun Guo +1
cs.LGcs.AIarXiv:2609.06384v12026
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen, Rishabh Jangir, Yu Sun +5
cs.LGcs.CVcs.ROarXiv:2007.04309v32020
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit, Michael Wilber, Serge Belongie
cs.CVcs.AIcs.LGarXiv:1605.06431v22016
The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF
Niko Brümmer, Edward de Villiers
stat.APcs.LGstat.MLarXiv:1304.2865v12013
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Feng Wang, Huichao Gong, Gaochao liu +5
q-bio.QMcs.LGarXiv:1605.01838v12016
On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm
Julien Bastian, Benjamin Leblanc, Pascal Germain +4
stat.MLcs.LGarXiv:2609.16803v12026
Sentiment Analysis Based on Deep Learning: A Comparative Study
Nhan Cach Dang, María N. Moreno-García, Fernando De la Prieta
cs.CLcs.IRcs.LGarXiv:2006.03541v12020
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian +3
cs.LGcs.ROarXiv:1907.00182v32019
Locally Scale-Invariant Convolutional Neural Networks
Angjoo Kanazawa, Abhishek Sharma, David Jacobs
cs.CVcs.LGcs.NEarXiv:1412.5104v12014
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan, J. Zico Kolter
cs.LGcs.AImath.OCarXiv:1706.04156v32017
Evaluating Real-World Robot Manipulation Policies in Simulation
Xuanlin Li, Kyle Hsu, Jiayuan Gu +13
cs.ROcs.CVcs.LGarXiv:2405.05941v12024
What is Missing from AI Post-Training AI: An Empirical Analysis
Joy Jia Yin Lim, Xin Huang, Hao Peng +5
cs.AIcs.CLcs.LGarXiv:2608.19072v12026
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Edward Choi, Andy Schuetz, Walter F. Stewart +1
cs.LGcs.NEarXiv:1602.03686v22016
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu, Naveen Venkat, Rahul M +1
cs.CVcs.LGarXiv:2004.04393v12020
Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling
Jérome Eertmans, Enrico M. Vitucci, Vittorio Degli-Esposti +3
cs.LGeess.SParXiv:2603.01655v22026
Matrix Aggregation Operators
Inmaculada Gutiérrez, Asier Urio-Larrea, J. Tinguaro Rodríguez +3
stat.MLcs.LGarXiv:2609.28562v12026
Finding and using interpretable latents in a neutrino foundation model with sparse autoencoders
Raphaël Bonnet-Guerrini, Johann Ioannou-Nikolaides, Inar Timiryasov +1
astro-ph.HEcs.AIcs.LGarXiv:2608.26090v12026
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Shuang Chen, Yue Guo, Zhaochen Su +7
cs.LGcs.AIcs.CLarXiv:2506.04207v22025
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
Alexander Panfilov, Peter Romov, Igor Shilov +3
cs.LGcs.AIcs.CRarXiv:2603.24511v22026

Machine Learning

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Natural Backdoor Attacks on Speech Recognition Models

The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering

A parameter-free hedging algorithm

PatternBoost: Constructions in Mathematics with a Little Help from AI

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

QUOTIENT: Two-Party Secure Neural Network Training and Prediction

On BatchNorm Forward Modes in Value-Based Reinforcement Learning

What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization

Online Change-point Detection for Cooperative Multi-Agent Reinforcement Learning

On the Weaknesses of Reinforcement Learning for Neural Machine Translation

Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression

Learning Where to Steer: Noise-Space Geometry for Efficient Offline Multi-Objective Optimization with Generative Models

MSM-Mem: A Universal Medical Structured Multimodal Memory Framework for Medical AI Agents

Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models

New Snake-in-the-Box Records via Snakepit Surgery and Learned Construction

Camera Measurement of Physiological Vital Signs

Verbalizable Representations Form a Global Workspace in Language Models

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

LongNet: Scaling Transformers to 1,000,000,000 Tokens

Generative Models for Automatic Chemical Design

Spark: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning

Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents

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

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

Deep vs. shallow networks : An approximation theory perspective

HVI: A New Color Space for Low-light Image Enhancement

A JoLT for the KV cache: Near-Lossless KV Cache Compression via Joint Rank-bit Allocation

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis

The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order

Modeling Tabular data using Conditional GAN

Reviving and Improving Recurrent Back-Propagation

Inductive Biases in Field-Level Cosmological Inference from Galaxy Catalogs

Adaptive Bound Optimization for Online Convex Optimization

Parameterized and Streaming Algorithms for Euclidean Fair $k$-Center Clustering

Self-Supervised Policy Adaptation during Deployment

Residual Networks Behave Like Ensembles of Relatively Shallow Networks

The BOSARIS Toolkit: Theory, Algorithms and Code for Surviving the New DCF

DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM

On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm

Sentiment Analysis Based on Deep Learning: A Comparative Study

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

Locally Scale-Invariant Convolutional Neural Networks

Gradient descent GAN optimization is locally stable

Evaluating Real-World Robot Manipulation Policies in Simulation

What is Missing from AI Post-Training AI: An Empirical Analysis

Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction

Universal Source-Free Domain Adaptation

Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling

Matrix Aggregation Operators

Finding and using interpretable latents in a neutrino foundation model with sparse autoencoders

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning

Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs