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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8,941 to 9,000 of 20,199

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu, Tim Rocktäschel
cs.LGcs.AIarXiv:2002.12292v22020
Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage
Rishabh Arora, Lisa Scheunemann, Tim Brepols +1
cs.LGcs.CEarXiv:2609.02194v12026
Towards Better Evaluation for Dynamic Link Prediction
Farimah Poursafaei, Shenyang Huang, Kellin Pelrine +1
cs.LGcs.SIarXiv:2207.10128v22022
Does Prompt Formatting Have Any Impact on LLM Performance?
Jia He, Mukund Rungta, David Koleczek +3
cs.CLcs.LGarXiv:2411.10541v12024
From topology learning to graph generation: A unifying perspective
Xiaowen Dong, Hoi-To Wai, Siheng Chen +2
stat.MLcs.LGeess.SParXiv:2609.02286v12026
Molecular geometry prediction using a deep generative graph neural network
Elman Mansimov, Omar Mahmood, Seokho Kang +1
cs.LGphysics.comp-phstat.MLarXiv:1904.00314v22019
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
eess.IVcs.CVcs.LGarXiv:2004.12823v42020
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
cs.LGstat.MLarXiv:1902.08295v12019
Towards Continual Knowledge Learning of Language Models
Joel Jang, Seonghyeon Ye, Sohee Yang +5
cs.CLcs.LGarXiv:2110.03215v42021
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao, Wenbing Huang, Peijia Lin +4
cond-mat.mtrl-scics.LGarXiv:2309.04475v22023
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Jiquan Wang, Sha Zhao, Zhiling Luo +5
eess.SPcs.AIcs.LGarXiv:2412.07236v62024
An Analysis of the t-SNE Algorithm for Data Visualization
Sanjeev Arora, Wei Hu, Pravesh K. Kothari
cs.LGarXiv:1803.01768v22018
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
Eunhee Kang, Hyun Jung Koo, Dong Hyun Yang +2
cs.CVcs.AIcs.LGarXiv:1806.09748v32018
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
cs.LGcs.AIstat.MLarXiv:1903.02020v22019
Towards a Rigorous Evaluation of XAI Methods on Time Series
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2
cs.LGcs.AIarXiv:1909.07082v22019
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Filip Hanzely, Slavomír Hanzely, Samuel Horváth +1
cs.LGcs.DCmath.OCarXiv:2010.02372v12020
Generative Adversarial Transformers
Drew A. Hudson, C. Lawrence Zitnick
cs.CVcs.AIcs.CLarXiv:2103.01209v42021
Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition
Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
cs.CVcs.LGcs.SDarXiv:2103.09154v22021
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs
Shuo Wang, Zhe Li, Caiwen Ding +4
cs.LGcs.ARarXiv:1803.06305v12018
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Zeyi Sun, Ye Fang, Tong Wu +6
cs.CVcs.AIcs.CLarXiv:2312.03818v22023
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou +2
cs.CLcs.AIcs.LGarXiv:1811.10996v12018
How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account
Ruize Xu, Xiao Yu, Yujin Tang +2
cs.LGcs.AIcs.CLarXiv:2608.30067v12026
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin, Qiong Chen, Xiaoming Qi
cs.LGcs.AIstat.MLarXiv:1901.01379v12019
FedSplit: An algorithmic framework for fast federated optimization
Reese Pathak, Martin J. Wainwright
cs.LGmath.OCstat.MLarXiv:2005.05238v12020
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng, Shiyi Cao, Dacheng Li +9
cs.LGcs.AIcs.DCarXiv:2311.03285v32023
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao +1
cs.LGstat.MLarXiv:1811.01900v32018
Harmless interpolation of noisy data in regression
Vidya Muthukumar, Kailas Vodrahalli, Vignesh Subramanian +1
cs.LGstat.MLarXiv:1903.09139v22019
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments
Fei Xia, William B. Shen, Chengshu Li +6
cs.ROcs.AIcs.CVarXiv:1910.14442v32019
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikołaj Sacha, Mikołaj Błaż, Piotr Byrski +5
cs.LGphysics.chem-phstat.MLarXiv:2006.15426v22020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus, Masatoshi Uehara
cs.LGcs.AIstat.MLarXiv:1908.08526v32019
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
stat.MLcs.AIcs.LGarXiv:1611.09913v32016
Generative and Discriminative Text Classification with Recurrent Neural Networks
Dani Yogatama, Chris Dyer, Wang Ling +1
stat.MLcs.CLcs.LGarXiv:1703.01898v22017
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.AIcs.LGarXiv:1811.07770v22018
A General Approach to Adding Differential Privacy to Iterative Training Procedures
H. Brendan McMahan, Galen Andrew, Ulfar Erlingsson +4
cs.LGstat.MLarXiv:1812.06210v22018
Perceptually Regularized Diffusion Model for Image Super-Resolution
Chuxiangbo Wang, Pavithra Venkatachalapathy, Ying Liang +4
eess.IVcs.CVcs.LGarXiv:2609.02016v12026
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin
cs.LGmath.OCstat.MLarXiv:2106.05203v12021
Adversarial AutoAugment
Xinyu Zhang, Qiang Wang, Jian Zhang +1
cs.CVcs.LGstat.MLarXiv:1912.11188v12019
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Fei Li, Hong Yu
cs.CLcs.LGarXiv:1912.00862v12019
Train What You Deploy: Closing the MLP Reachability Gap in Low-Rank Clone Distillation
Wenhui Chen, Zhifeng Li, Jie Zhou +5
cs.LGcs.CLarXiv:2609.02006v12026
Hierarchical Graph Pooling with Structure Learning
Zhen Zhang, Jiajun Bu, Martin Ester +4
cs.LGstat.MLarXiv:1911.05954v32019
DROCC: Deep Robust One-Class Classification
Sachin Goyal, Aditi Raghunathan, Moksh Jain +2
cs.LGstat.MLarXiv:2002.12718v22020
On the approximation of functions by tanh neural networks
Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
math.NAcs.LGarXiv:2104.08938v22021
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Gengwei Zhang, Liyuan Wang, Guoliang Kang +2
cs.CVcs.AIcs.LGarXiv:2303.05118v42023
How to Index Item IDs for Recommendation Foundation Models
Wenyue Hua, Shuyuan Xu, Yingqiang Ge +1
cs.IRcs.AIcs.CLarXiv:2305.06569v62023
Feature Learning in Infinite-Width Neural Networks
Greg Yang, Edward J. Hu
cs.LGcond-mat.dis-nncs.NEarXiv:2011.14522v32020
Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
Wassim Tenachi, Yashar Hezaveh, Laurence Perreault Levasseur +1
cs.LGastro-ph.IMarXiv:2609.02766v12026
TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification
Ahmed Shifaz, Charlotte Pelletier, Francois Petitjean +1
cs.LGstat.MLarXiv:1906.10329v22019
Convergence for score-based generative modeling with polynomial complexity
Holden Lee, Jianfeng Lu, Yixin Tan
cs.LGmath.PRmath.STarXiv:2206.06227v22022
WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling
Zhongzheng Li, Qingsong Ran, Shikun Feng +5
cs.LGcs.AIarXiv:2609.01608v12026
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding, Jianling Wang, Jundong Li +3
cs.LGcs.SIstat.MLarXiv:2006.12739v32020
Learning Parameterized Skills
Bruno Da Silva, George Konidaris, Andrew Barto
cs.LGstat.MLarXiv:1206.6398v22012
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints
Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui
cs.LGstat.MLarXiv:1601.02733v12016
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Yuhui Xu, Lingxi Xie, Xiaotao Gu +6
cs.LGcs.CLarXiv:2309.14717v22023
Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization
Giovanni Dispoto, Marcello Restelli, Carmine Ventre
q-fin.PMcs.CEcs.LGarXiv:2609.02677v12026
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle +3
cs.CLcs.AIcs.LGarXiv:2108.12084v22021
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov +3
cs.CVcs.LGeess.IVarXiv:2008.12603v12020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu +1
cs.CRcs.ITcs.LGarXiv:2009.11248v12020
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin, Qingzhong Wang, Siyu Huang +2
cs.LGarXiv:2109.10259v22021
Node-Based Learning of Multiple Gaussian Graphical Models
Karthik Mohan, Palma London, Maryam Fazel +2
stat.MLcs.LGmath.OCarXiv:1303.5145v42013

Machine Learning

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage

Towards Better Evaluation for Dynamic Link Prediction

Does Prompt Formatting Have Any Impact on LLM Performance?

From topology learning to graph generation: A unifying perspective

Molecular geometry prediction using a deep generative graph neural network

A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Towards Continual Knowledge Learning of Language Models

Crystal Structure Prediction by Joint Equivariant Diffusion

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

An Analysis of the t-SNE Algorithm for Data Visualization

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography

Using Natural Language for Reward Shaping in Reinforcement Learning

Towards a Rigorous Evaluation of XAI Methods on Time Series

Lower Bounds and Optimal Algorithms for Personalized Federated Learning

Generative Adversarial Transformers

Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account

Deep Reinforcement Learning for Imbalanced Classification

FedSplit: An algorithmic framework for fast federated optimization

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

Harmless interpolation of noisy data in regression

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits

Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes

Capacity and Trainability in Recurrent Neural Networks

Generative and Discriminative Text Classification with Recurrent Neural Networks

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

A General Approach to Adding Differential Privacy to Iterative Training Procedures

Perceptually Regularized Diffusion Model for Image Super-Resolution

EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback

Adversarial AutoAugment

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

Train What You Deploy: Closing the MLP Reachability Gap in Low-Rank Clone Distillation

Hierarchical Graph Pooling with Structure Learning

DROCC: Deep Robust One-Class Classification

On the approximation of functions by tanh neural networks

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

How to Index Item IDs for Recommendation Foundation Models

Feature Learning in Infinite-Width Neural Networks

Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit

TS-CHIEF: A Scalable and Accurate Forest Algorithm for Time Series Classification

Convergence for score-based generative modeling with polynomial complexity

WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling

Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Learning Parameterized Skills

Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Eliciting ESG Preferences for Reinforcement Learning-Based Portfolio Optimization

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies

A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis

FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Node-Based Learning of Multiple Gaussian Graphical Models