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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17,401 to 17,460 of 20,199

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Timur Garipov, Pavel Izmailov, Dmitrii Podoprikhin +2
stat.MLcs.AIcs.LGarXiv:1802.10026v42018
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia, Yu Zhang, Ron J. Weiss +8
cs.CLcs.LGcs.SDarXiv:1806.04558v42018
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
Zhiyuan Hu, Yucheng Wang, Yufei He +7
cs.LGcs.CLarXiv:2601.08763v22026
GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design
Isabella A. Stewart, Tarjei Paule Hage, Yu-Chuan Hsu +1
cs.AIcond-mat.mes-hallcond-mat.mtrl-sciarXiv:2602.07491v12026
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang, Jiahui Yu, Adams Wei Yu +3
cs.CVcs.CLcs.LGarXiv:2108.10904v32021
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu, Rui Peng, Yu-Wing Tai +1
cs.NEcs.CVcs.LGarXiv:1607.03250v12016
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin, Scott Gray
cs.NEcs.LGarXiv:1509.09308v22015
Overfitting in adversarially robust deep learning
Leslie Rice, Eric Wong, J. Zico Kolter
cs.LGstat.MLarXiv:2002.11569v22020
Model-Agnostic Interpretability of Machine Learning
Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin
stat.MLcs.LGarXiv:1606.05386v12016
StarCraft II: A New Challenge for Reinforcement Learning
Oriol Vinyals, Timo Ewalds, Sergey Bartunov +22
cs.LGcs.AIarXiv:1708.04782v12017
RMA: Rapid Motor Adaptation for Legged Robots
Ashish Kumar, Zipeng Fu, Deepak Pathak +1
cs.LGcs.AIcs.CVarXiv:2107.04034v12021
Benign Overfitting in Linear Regression
Peter L. Bartlett, Philip M. Long, Gábor Lugosi +1
stat.MLcs.LGmath.STarXiv:1906.11300v32019
The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems
Xiaoze Liu, Ruowang Zhang, Weichen Yu +7
cs.CLcs.CVcs.LGarXiv:2602.15382v22026
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng, Shuchang Liu, Zuohui Fu +2
cs.IRcs.AIcs.CLarXiv:2203.13366v72022
Unity: A General Platform for Intelligent Agents
Arthur Juliani, Vincent-Pierre Berges, Ervin Teng +8
cs.LGcs.AIcs.NEarXiv:1809.02627v22018
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart, Marco F. Huber
cs.LGcs.AIstat.MLarXiv:2011.07876v12020
\$OneMillion-Bench: How Far are Language Agents from Human Experts?
Qianyu Yang, Yang Liu, Jiaqi Li +20
cs.LGcs.AIcs.CLarXiv:2603.07980v12026
Understanding disentangling in $β$-VAE
Christopher P. Burgess, Irina Higgins, Arka Pal +4
stat.MLcs.AIcs.LGarXiv:1804.03599v12018
Making Convolutional Networks Shift-Invariant Again
Richard Zhang
cs.CVcs.LGarXiv:1904.11486v22019
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi +21
cs.IRcs.LGarXiv:1906.00091v12019
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu, Bo Han, Jiangchao Yao +3
cs.LGstat.MLarXiv:1901.04215v32019
On the Cross-lingual Transferability of Monolingual Representations
Mikel Artetxe, Sebastian Ruder, Dani Yogatama
cs.CLcs.AIcs.LGarXiv:1910.11856v32019
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Andrej Karpathy, Armand Joulin, Li Fei-Fei
cs.CVcs.CLcs.LGarXiv:1406.5679v12014
GuacaMol: Benchmarking Models for De Novo Molecular Design
Nathan Brown, Marco Fiscato, Marwin H. S. Segler +1
q-bio.QMcs.LGphysics.chem-pharXiv:1811.09621v22018
QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
Jingxuan Zhang, Yunta Hsieh, Zhongwei Wan +5
cs.LGarXiv:2602.20309v42026
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish +1
cs.LGstat.MLarXiv:1812.00564v12018
In-context Learning and Induction Heads
Catherine Olsson, Nelson Elhage, Neel Nanda +23
cs.LGarXiv:2209.11895v12022
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac +1
cs.LGq-bio.QMstat.MLarXiv:2203.17003v22022
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Boyuan Chen, Zhuo Xu, Sean Kirmani +6
cs.CVcs.CLcs.LGarXiv:2401.12168v12024
Detecting Adversarial Samples from Artifacts
Reuben Feinman, Ryan R. Curtin, Saurabh Shintre +1
stat.MLcs.LGarXiv:1703.00410v32017
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro +2
cs.LGcs.AIstat.MEarXiv:2108.13264v42021
CLIPort: What and Where Pathways for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
cs.ROcs.CLcs.CVarXiv:2109.12098v12021
Understanding the Challenges in Iterative Generative Optimization with LLMs
Allen Nie, Xavier Daull, Zhiyi Kuang +10
cs.LGcs.AIarXiv:2603.23994v22026
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray +1
cs.LGcs.NEstat.MLarXiv:1502.03509v22015
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
Rui Yang, Qianhui Wu, Zhaoyang Wang +8
cs.LGcs.AIcs.CLarXiv:2602.22190v22026
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio +5
cs.LGarXiv:1312.5650v32013
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, Fei Sha
cs.LGcs.AIcs.MAarXiv:1810.02912v22018
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
Haozhen Zhang, Haodong Yue, Tao Feng +8
cs.CLcs.AIcs.LGarXiv:2602.06025v32026
LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding
Alexander Samarin, Sergei Krutikov, Anton Shevtsov +3
cs.LGcs.CLarXiv:2602.23881v22026
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher, Nadav Cohen, Michal Irani
cs.CVcs.LGcs.NEarXiv:1712.06087v12017
GLIGEN: Open-Set Grounded Text-to-Image Generation
Yuheng Li, Haotian Liu, Qingyang Wu +5
cs.CVcs.AIcs.CLarXiv:2301.07093v22023
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji, João F. Henriques, Andrea Vedaldi
cs.CVcs.LGarXiv:1807.06653v42018
Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction
Jang-Hyun Kim, Dongyoon Han, Sangdoo Yun
cs.LGcs.CLarXiv:2601.17668v22026
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation
Yi Luo, Zhuo Chen, Takuya Yoshioka
eess.AScs.LGcs.SDarXiv:1910.06379v22019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +2
cs.LGcs.DCmath.OCarXiv:1909.13014v42019
Discovering Language Model Behaviors with Model-Written Evaluations
Ethan Perez, Sam Ringer, Kamilė Lukošiūtė +60
cs.CLcs.AIcs.LGarXiv:2212.09251v12022
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo +5
cs.LGcs.CRstat.MLarXiv:1811.03728v12018
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
Jiezhong Qiu, Yuxiao Dong, Hao Ma +3
cs.SIcs.LGstat.MLarXiv:1710.02971v42017
Patient Knowledge Distillation for BERT Model Compression
Siqi Sun, Yu Cheng, Zhe Gan +1
cs.CLcs.LGarXiv:1908.09355v12019
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
Yixin Liu, Yue Yu, DiJia Su +7
cs.AIcs.CLcs.LGarXiv:2603.12246v12026
Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning
Dylan Zhang, Yufeng Xu, Haojin Wang +2
cs.LGcs.AIcs.CLarXiv:2602.01058v22026
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
stat.MLcs.LGarXiv:1712.02162v32017
A Watermark for Large Language Models
John Kirchenbauer, Jonas Geiping, Yuxin Wen +3
cs.LGcs.CLcs.CRarXiv:2301.10226v42023
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen, Sifei Liu, Xiaolong Wang
cs.CVcs.LGarXiv:2012.09161v22020
Experiential Reinforcement Learning
Taiwei Shi, Sihao Chen, Bowen Jiang +3
cs.LGcs.AIarXiv:2602.13949v12026
Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling
Tal Daniel, Carl Qi, Dan Haramati +5
cs.LGarXiv:2603.04553v12026
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong +7
cs.ROcs.AIcs.LGarXiv:2108.03298v22021
Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
Hanbing Liu, Chunhao Tian, Nan An +4
cs.AIcs.LGarXiv:2602.11541v12026
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
Yong Liu, Haixu Wu, Jianmin Wang +1
cs.LGeess.SParXiv:2205.14415v42022
Making Reconstruction FID Predictive of Diffusion Generation FID
Tongda Xu, Mingwei He, Shady Abu-Hussein +6
cs.CVcs.LGarXiv:2603.05630v22026

Machine Learning

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs

GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Fast Algorithms for Convolutional Neural Networks

Overfitting in adversarially robust deep learning

Model-Agnostic Interpretability of Machine Learning

StarCraft II: A New Challenge for Reinforcement Learning

RMA: Rapid Motor Adaptation for Legged Robots

Benign Overfitting in Linear Regression

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Unity: A General Platform for Intelligent Agents

A Survey on the Explainability of Supervised Machine Learning

\$OneMillion-Bench: How Far are Language Agents from Human Experts?

Understanding disentangling in $β$-VAE

Making Convolutional Networks Shift-Invariant Again

Deep Learning Recommendation Model for Personalization and Recommendation Systems

How does Disagreement Help Generalization against Label Corruption?

On the Cross-lingual Transferability of Monolingual Representations

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

GuacaMol: Benchmarking Models for De Novo Molecular Design

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models

Split learning for health: Distributed deep learning without sharing raw patient data

In-context Learning and Induction Heads

Equivariant Diffusion for Molecule Generation in 3D

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Detecting Adversarial Samples from Artifacts

Deep Reinforcement Learning at the Edge of the Statistical Precipice

CLIPort: What and Where Pathways for Robotic Manipulation

Understanding the Challenges in Iterative Generative Optimization with LLMs

MADE: Masked Autoencoder for Distribution Estimation

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

Zero-Shot Learning by Convex Combination of Semantic Embeddings

Actor-Attention-Critic for Multi-Agent Reinforcement Learning

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory

LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding

"Zero-Shot" Super-Resolution using Deep Internal Learning

GLIGEN: Open-Set Grounded Text-to-Image Generation

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation

FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

Discovering Language Model Behaviors with Model-Written Evaluations

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Patient Knowledge Distillation for BERT Model Compression

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training

Good SFT Optimizes for SFT, Better SFT Prepares for Reinforcement Learning

A trans-disciplinary review of deep learning research for water resources scientists

A Watermark for Large Language Models

Learning Continuous Image Representation with Local Implicit Image Function

Experiential Reinforcement Learning

Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use

Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting

Making Reconstruction FID Predictive of Diffusion Generation FID