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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16,621 to 16,680 of 20,199

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
Jesse Dodge, Gabriel Ilharco, Roy Schwartz +3
cs.CLcs.LGarXiv:2002.06305v12020
PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning
Shaoxuan Li, Zhixuan Zhao, Hanze Deng +9
cs.CVcs.AIcs.CLarXiv:2603.26653v12026
DScribe: Library of Descriptors for Machine Learning in Materials Science
Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka +5
cond-mat.mtrl-scics.LGarXiv:1904.08875v12019
MemRerank: Preference Memory for Personalized Product Reranking
Zhiyuan Peng, Xuyang Wu, Huaixiao Tou +2
cs.CLcs.AIcs.LGarXiv:2603.29247v32026
Think Anywhere in Code Generation
Xue Jiang, Tianyu Zhang, Ge Li +8
cs.SEcs.LGarXiv:2603.29957v32026
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo, Qingfeng Sun, Can Xu +8
cs.CLcs.AIcs.LGarXiv:2308.09583v32023
Visual Memory Injection Attacks for Multi-Turn Conversations
Christian Schlarmann, Matthias Hein
cs.CVcs.LGarXiv:2602.15927v12026
Global Filter Networks for Image Classification
Yongming Rao, Wenliang Zhao, Zheng Zhu +2
cs.CVcs.AIcs.LGarXiv:2107.00645v22021
ProBel: Propaganda Detection with Techniques, Spans, and Explanations
Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori +2
cs.CLcs.AIcs.LGarXiv:2608.22388v12026
Evaluating Very Long-Term Conversational Memory of LLM Agents
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov +3
cs.CLcs.AIcs.LGarXiv:2402.17753v12024
GET: Generative Embedding Translation for Medical Image Segmentation
Md Maklachur Rahman, Md Hasan Al Banna, Saraf Anjum +2
eess.IVcs.CVcs.LGarXiv:2608.22619v12026
Arbitrage-Aware Multi-Step Forecasting of Implied Volatility Surfaces: Modelling Surface Trajectories Using Latent Diffusion
Dominik Manuel Buchegger, Lukas Gonon
q-fin.MFcs.LGarXiv:2608.22478v12026
ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model Compression
Ammar Ali, Baher Mohammad, Denis Makhov +3
cs.LGcs.AIcs.CLarXiv:2602.11008v12026
A Tour of Reinforcement Learning: The View from Continuous Control
Benjamin Recht
math.OCcs.LGstat.MLarXiv:1806.09460v22018
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng, Huan Zhang, Hongge Chen +5
stat.MLcs.CRcs.CVarXiv:1804.09699v42018
The Internal State of an LLM Knows When It's Lying
Amos Azaria, Tom Mitchell
cs.CLcs.AIcs.LGarXiv:2304.13734v22023
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Josef Dai, Xuehai Pan, Ruiyang Sun +5
cs.AIcs.LGarXiv:2310.12773v12023
Sci-Reasoning: A Dataset Decoding AI Innovation Patterns
Jiachen Liu, Maestro Harmon, Zechen Zhang
cs.AIcs.LGarXiv:2601.04577v12026
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu, Juho Lee, Minseop Park +4
cs.LGcs.CVcs.NEarXiv:1805.10002v52018
VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR
Yani Guan, Dengpan Dong, Shuang Luo +6
cs.CVcs.IRcs.LGarXiv:2608.22183v12026
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai, Le Song
cs.LGarXiv:1603.05629v52016
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Shengding Hu, Yuge Tu, Xu Han +22
cs.CLcs.LGarXiv:2404.06395v32024
GutenOCR: A Grounded Vision-Language Front-End for Documents
Hunter Heidenreich, Ben Elliott, Olivia Dinica +1
cs.CVcs.AIcs.CLarXiv:2601.14490v22026
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Andrew Slavin Ross, Finale Doshi-Velez
cs.LGcs.CRcs.CVarXiv:1711.09404v12017
NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
Zhuchenyang Liu, Yao Zhang, Yu Xiao
cs.IRcs.CVcs.LGarXiv:2603.12824v22026
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Yue Wang, Hung Le, Akhilesh Deepak Gotmare +3
cs.CLcs.LGcs.PLarXiv:2305.07922v22023
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu, Maithra Raghu, Samy Bengio +1
cs.LGstat.MLarXiv:1909.09157v22019
Less is more: sampling chemical space with active learning
Justin S. Smith, Ben Nebgen, Nicholas Lubbers +2
physics.comp-phcs.LGphysics.chem-pharXiv:1801.09319v22018
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
Jiangshan Duo, Hanyu Li, Hailin Zhang +3
cs.CLcs.AIcs.LGarXiv:2601.08468v12026
Joint Causal Structure and Cluster Discovery Using Variational Inference
Avni Rajpal, Anubhav Kumar, Rishabh Karnad +2
cs.LGcs.AIstat.MLarXiv:2608.22212v12026
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah, Blazej Osinski, Brian Ichter +1
cs.ROcs.AIcs.CLarXiv:2207.04429v22022
Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models
Hyunjong Ok, Jaeho Lee
cs.CLcs.AIcs.LGarXiv:2601.14152v22026
On-policy Distillation with Verifiable Reward
Wenze Lin, Jiale Zhao, Xitai Jiang +5
cs.LGcs.AIarXiv:2608.24696v12026
A Comprehensive Overhaul of Feature Distillation
Byeongho Heo, Jeesoo Kim, Sangdoo Yun +3
cs.CVcs.LGarXiv:1904.01866v22019
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Mumuksh Tayal, Manan Tayal, Ravi Prakash
cs.LGcs.AIarXiv:2603.15136v22026
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys +5
cs.AIcs.GTcs.LGarXiv:1711.00832v22017
Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
Minwu Kim, Safal Shrestha, Anubhav Shrestha +1
cs.LGcs.AIcs.CLarXiv:2601.20829v22026
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Yujin Oh, Sangjoon Park, Jong Chul Ye
eess.IVcs.CVcs.LGarXiv:2004.05758v22020
ECO: Quantized Training without Full-Precision Master Weights
Mahdi Nikdan, Amir Zandieh, Dan Alistarh +1
cs.CLcs.AIcs.LGarXiv:2601.22101v12026
Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge
Thomas Benton Townsend, Joshua Bean, Benjamin K Tkach +2
eess.SPcs.LGeess.SYarXiv:2608.22648v12026
DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal
Peixuan Han, Yingjie Yu, Jingjun Xu +1
cs.LGarXiv:2601.18081v22026
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu, Chenfeng Xu, Xiaoliang Dai +7
cs.CVcs.LGeess.IVarXiv:2006.03677v42020
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan +2
cs.LGcs.CLstat.MLarXiv:2105.06337v22021
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal +7
cs.LGcs.AIcs.CLarXiv:2304.06767v42023
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Reid Pryzant, Dan Iter, Jerry Li +3
cs.CLcs.AIcs.LGarXiv:2305.03495v22023
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti +3
cs.NEcs.LGarXiv:1712.06567v32017
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Aditya Prakash, Kashyap Chitta, Andreas Geiger
cs.CVcs.AIcs.LGarXiv:2104.09224v12021
Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou +2
cs.CVcs.AIcs.LGarXiv:1904.05835v12019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Han Xu, Yao Ma, Haochen Liu +4
cs.LGcs.CRstat.MLarXiv:1909.08072v22019
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi, Basil Mustafa, Fiona Ryan +9
eess.IVcs.CVcs.LGarXiv:2101.05224v22021
RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
Arpit Singh Gautam, Saurabh Jha
cs.LGcs.AIarXiv:2603.17891v12026
Fairness in Machine Learning: A Survey
Simon Caton, Christian Haas
cs.LGstat.MLarXiv:2010.04053v12020
Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules
Florian Rottach, Sebastian Schieferdecker, William Rudman +2
cs.LGcs.AIarXiv:2608.22642v12026
Tracing the Unlabeled Storm: Cross-Variable Transfer in a Lagrangian Atmospheric JEPA Framework
K M Anirudh, S Sandeep, Hariprasad Kodamana
cs.LGphysics.geo-pharXiv:2608.22358v12026
The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models
Taebong Kim, Youngsik Hong, Minsik Kim +3
cs.LGcs.AIarXiv:2608.22876v12026
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Jonathan H. Clark, Eunsol Choi, Michael Collins +4
cs.CLcs.LGarXiv:2003.05002v12020
Summaries:한국어
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Le Yu, Bowen Yu, Haiyang Yu +2
cs.CLcs.LGarXiv:2311.03099v32023
SimpleGPT: Improving GPT via A Simple Normalization Strategy
Marco Chen, Xianbiao Qi, Yelin He +2
cs.LGcs.CLcs.CVarXiv:2602.01212v12026
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
cs.CRcs.LGstat.MLarXiv:1702.06280v22017

Machine Learning

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning

DScribe: Library of Descriptors for Machine Learning in Materials Science

MemRerank: Preference Memory for Personalized Product Reranking

Think Anywhere in Code Generation

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Visual Memory Injection Attacks for Multi-Turn Conversations

Global Filter Networks for Image Classification

ProBel: Propaganda Detection with Techniques, Spans, and Explanations

Evaluating Very Long-Term Conversational Memory of LLM Agents

GET: Generative Embedding Translation for Medical Image Segmentation

Arbitrage-Aware Multi-Step Forecasting of Implied Volatility Surfaces: Modelling Surface Trajectories Using Latent Diffusion

ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model Compression

A Tour of Reinforcement Learning: The View from Continuous Control

Towards Fast Computation of Certified Robustness for ReLU Networks

The Internal State of an LLM Knows When It's Lying

Safe RLHF: Safe Reinforcement Learning from Human Feedback

Sci-Reasoning: A Dataset Decoding AI Innovation Patterns

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

VERDICT: Agreement Beats Pixel-Space Verification in Real-Document OCSR

Discriminative Embeddings of Latent Variable Models for Structured Data

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

GutenOCR: A Grounded Vision-Language Front-End for Documents

Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients

NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Less is more: sampling chemical space with active learning

JudgeRLVR: Judge First, Generate Second for Efficient Reasoning

Joint Causal Structure and Cluster Discovery Using Variational Inference

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action

Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models

On-policy Distillation with Verifiable Reward

A Comprehensive Overhaul of Feature Distillation

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

ECO: Quantized Training without Full-Precision Master Weights

Lightweight Multi-scale Hierarchical Anomaly Detection and Localization for Geospatial Big Data Applications at the Edge

DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal

Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Variational Information Distillation for Knowledge Transfer

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Big Self-Supervised Models Advance Medical Image Classification

RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference

Fairness in Machine Learning: A Survey

Mol-JEPA: A multimodal Joint Embedding Predictive Architecture for Molecules

Tracing the Unlabeled Storm: Cross-Variable Transfer in a Lagrangian Atmospheric JEPA Framework

The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

SimpleGPT: Improving GPT via A Simple Normalization Strategy

On the (Statistical) Detection of Adversarial Examples