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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17,461 to 17,520 of 20,193

Toy Models of Superposition
Nelson Elhage, Tristan Hume, Catherine Olsson +13
cs.LGarXiv:2209.10652v12022
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
Jiaheng Hu, Jay Shim, Chen Tang +4
cs.LGcs.ROarXiv:2603.11653v32026
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt +1
cs.CYcs.LGarXiv:1910.09700v22019
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu, Jiashi Feng, Yudong Chen +3
stat.MLcs.LGarXiv:1804.03728v22018
Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory
Zhenting Wang, Huancheng Chen, Jiayun Wang +1
cs.CLcs.LGarXiv:2603.04257v12026
Mano: Restriking Manifold Optimization for LLM Training
Yufei Gu, Zeke Xie
cs.LGcs.AIarXiv:2601.23000v12026
The Diffusion Duality, Chapter II: $Ψ$-Samplers
Justin Deschenaux, Caglar Gulcehre, Subham Sekhar Sahoo
cs.LGarXiv:2602.21185v22026
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun +2
cs.LGcs.AIcs.ARarXiv:2102.00554v12021
Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
Zhengyang Su, Isay Katsman, Yueqi Wang +10
cs.IRcs.CLcs.LGarXiv:2602.22647v22026
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli, Jacob Menick, Serkan Cabi +3
cs.CVcs.CLcs.LGarXiv:2106.13884v22021
Heterogeneous Agent Collaborative Reinforcement Learning
Zhixia Zhang, Zixuan Huang, Gongxun Li +10
cs.LGarXiv:2603.02604v22026
Mode Seeking meets Mean Seeking for Fast Long Video Generation
Shengqu Cai, Weili Nie, Chao Liu +8
cs.CVcs.LGarXiv:2602.24289v12026
Model-Based Reinforcement Learning for Atari
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos +11
cs.LGstat.MLarXiv:1903.00374v52019
Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow
Haocheng Xi, Charlie Ruan, Peiyuan Liao +7
cs.LGcs.CLarXiv:2601.14243v22026
AudioLM: a Language Modeling Approach to Audio Generation
Zalán Borsos, Raphaël Marinier, Damien Vincent +8
cs.SDcs.LGeess.ASarXiv:2209.03143v22022
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta, Marin Bukov, Ching-Hao Wang +4
physics.comp-phcond-mat.stat-mechcs.LGarXiv:1803.08823v32018
On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs
Rosie Zhao, Anshul Shah, Xiaoyu Zhu +5
cs.LGarXiv:2602.12506v32026
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou +5
cs.AIcs.CLcs.HCarXiv:2006.14779v32020
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du +2
cs.LGcs.AIcs.CVarXiv:2305.13301v42023
Ladder Variational Autoencoders
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe +2
stat.MLcs.LGarXiv:1602.02282v32016
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou, Quan Cui, Xiu-Shen Wei +1
cs.CVcs.LGarXiv:1912.02413v42019
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter, Gabriel Kreiman, David Cox
cs.LGcs.AIcs.CVarXiv:1605.08104v52016
Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael Bernstein +1
cs.CVcs.LGcs.NEarXiv:1511.03416v42015
Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation
Andrei Panferov, Erik Schultheis, Soroush Tabesh +1
cs.LGarXiv:2601.22813v22026
Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals +2
cs.CLcs.LGstat.MLarXiv:1807.03819v32018
Extracting Training Data from Diffusion Models
Nicholas Carlini, Jamie Hayes, Milad Nasr +6
cs.CRcs.CVcs.LGarXiv:2301.13188v12023
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin, Chaofan Chen, Zhi Chen +3
cs.LGstat.MLarXiv:2103.11251v22021
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Y. Hammerla, Shane Halloran, Thomas Ploetz
cs.LGcs.AIcs.HCarXiv:1604.08880v12016
Jukebox: A Generative Model for Music
Prafulla Dhariwal, Heewoo Jun, Christine Payne +3
eess.AScs.LGcs.SDarXiv:2005.00341v12020
PromptRL: Prompt Matters in RL for Flow-Based Image Generation
Fu-Yun Wang, Han Zhang, Michael Gharbi +2
cs.CVcs.LGarXiv:2602.01382v12026
Photographic Image Synthesis with Cascaded Refinement Networks
Qifeng Chen, Vladlen Koltun
cs.CVcs.AIcs.GRarXiv:1707.09405v12017
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng, Varun Gangal, Jason Wei +4
cs.CLcs.AIcs.LGarXiv:2105.03075v52021
Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation
Zihan Su, Hongyang Wei, Kangrui Cen +4
cs.CVcs.LGarXiv:2601.21406v32026
KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices
Wuyang Zhou, Yuxuan Gu, Giorgos Iacovides +1
cs.CLcs.LGarXiv:2601.21579v22026
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley Maddox, Timur Garipov, Pavel Izmailov +2
cs.LGcs.AIcs.CVarXiv:1902.02476v22019
Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks
Yuval Ran-Milo
cs.LGarXiv:2603.11487v52026
Certified Defenses against Adversarial Examples
Aditi Raghunathan, Jacob Steinhardt, Percy Liang
cs.LGarXiv:1801.09344v22018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Martin Simonovsky, Nikos Komodakis
cs.LGcs.CVcs.NEarXiv:1802.03480v12018
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
cs.HCcs.AIcs.LGarXiv:2001.02478v32020
Safe Reinforcement Learning via Shielding
Mohammed Alshiekh, Roderick Bloem, Ruediger Ehlers +3
cs.LOcs.AIcs.LGarXiv:1708.08611v22017
Stochastic Gradient Hamiltonian Monte Carlo
Tianqi Chen, Emily B. Fox, Carlos Guestrin
stat.MEcs.LGstat.MLarXiv:1402.4102v22014
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He +3
cs.LGarXiv:1708.04617v12017
RLBench: The Robot Learning Benchmark & Learning Environment
Stephen James, Zicong Ma, David Rovick Arrojo +1
cs.ROcs.AIcs.CVarXiv:1909.12271v12019
On Fairness and Calibration
Geoff Pleiss, Manish Raghavan, Felix Wu +2
cs.LGcs.CYstat.MLarXiv:1709.02012v22017
Safety Verification of Deep Neural Networks
Xiaowei Huang, Marta Kwiatkowska, Sen Wang +1
cs.AIcs.LGstat.MLarXiv:1610.06940v32016
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
Yinjie Wang, Tianbao Xie, Ke Shen +2
cs.LGcs.AIcs.CLarXiv:2602.02488v12026
Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
Fiona Y. Wang, Lee Marom, Subhadeep Pal +4
cs.AIcond-mat.dis-nncs.LGarXiv:2603.14312v12026
Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan +3
cs.AIcs.LGstat.MLarXiv:1806.00064v12018
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding, Zhuoyi Yang, Wenyi Hong +8
cs.CVcs.LGarXiv:2105.13290v32021
Meta-Learning with Implicit Gradients
Aravind Rajeswaran, Chelsea Finn, Sham Kakade +1
cs.LGcs.AImath.OCarXiv:1909.04630v12019
GraphMAE: Self-Supervised Masked Graph Autoencoders
Zhenyu Hou, Xiao Liu, Yukuo Cen +4
cs.LGarXiv:2205.10803v32022
ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
Yawar Siddiqui, Duncan Frost, Samir Aroudj +9
cs.CVcs.LGarXiv:2601.11514v12026
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu, Hongming Pu, Feicheng Wang +2
cs.LGarXiv:1709.02540v32017
Spectral Signatures in Backdoor Attacks
Brandon Tran, Jerry Li, Aleksander Madry
cs.LGcs.CRstat.MLarXiv:1811.00636v12018
Memory Caching: RNNs with Growing Memory
Ali Behrouz, Zeman Li, Yuan Deng +3
cs.LGcs.AIarXiv:2602.24281v12026
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin +4
cs.IRcs.LGstat.MLarXiv:2003.00911v12020
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
Philippe Schwaller, Teodoro Laino, Théophile Gaudin +3
physics.chem-phcs.LGarXiv:1811.02633v22018
On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot +6
cs.LGcs.CRstat.MLarXiv:1902.06705v22019
VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs
Haoran Yuan, Weigang Yi, Zhenyu Zhang +9
cs.ROcs.AIcs.CVarXiv:2603.23481v12026
MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff, Nouamane Tazi, Loïc Magne +1
cs.CLcs.IRcs.LGarXiv:2210.07316v32022

Machine Learning

Toy Models of Superposition

Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning

Quantifying the Carbon Emissions of Machine Learning

Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm

Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

Mano: Restriking Manifold Optimization for LLM Training

The Diffusion Duality, Chapter II: $Ψ$-Samplers

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators

Multimodal Few-Shot Learning with Frozen Language Models

Heterogeneous Agent Collaborative Reinforcement Learning

Mode Seeking meets Mean Seeking for Fast Long Video Generation

Model-Based Reinforcement Learning for Atari

Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow

AudioLM: a Language Modeling Approach to Audio Generation

A high-bias, low-variance introduction to Machine Learning for physicists

On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Training Diffusion Models with Reinforcement Learning

Ladder Variational Autoencoders

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Visual7W: Grounded Question Answering in Images

Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation

Universal Transformers

Extracting Training Data from Diffusion Models

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables

Jukebox: A Generative Model for Music

PromptRL: Prompt Matters in RL for Flow-Based Image Generation

Photographic Image Synthesis with Cascaded Refinement Networks

A Survey of Data Augmentation Approaches for NLP

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation

KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Attention Sinks Are Provably Necessary in Softmax Transformers: Evidence from Trigger-Conditional Tasks

Certified Defenses against Adversarial Examples

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

Safe Reinforcement Learning via Shielding

Stochastic Gradient Hamiltonian Monte Carlo

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

RLBench: The Robot Learning Benchmark & Learning Environment

On Fairness and Calibration

Safety Verification of Deep Neural Networks

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

Efficient Low-rank Multimodal Fusion with Modality-Specific Factors

CogView: Mastering Text-to-Image Generation via Transformers

Meta-Learning with Implicit Gradients

GraphMAE: Self-Supervised Masked Graph Autoencoders

ShapeR: Robust Conditional 3D Shape Generation from Casual Captures

The Expressive Power of Neural Networks: A View from the Width

Spectral Signatures in Backdoor Attacks

Memory Caching: RNNs with Growing Memory

A Survey on Knowledge Graph-Based Recommender Systems

Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction

On Evaluating Adversarial Robustness

VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs

MTEB: Massive Text Embedding Benchmark