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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31,021 to 31,080 of 32,932

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard +2
stat.MLcs.LGarXiv:1708.00524v22017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger, Martin Reuter, Tassilo Klein
cs.CVcs.AIcs.LGarXiv:1702.08192v12017
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Zhiqiang Shen, Zhuang Liu, Jianguo Li +3
cs.CVcs.LGarXiv:1708.01241v22017
Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs
Bilal Chughtai, Alan Cooney, Neel Nanda
cs.LGcs.CLarXiv:2402.07321v12024
TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
Qian Chen, Mohamed Elrefaie, Angela Dai +1
physics.flu-dyncs.LGarXiv:2503.17400v22025
A Survey on LoRA of Large Language Models
Yuren Mao, Yuhang Ge, Yijiang Fan +4
cs.LGcs.AIcs.CLarXiv:2407.11046v42024
Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
Houyi Li, Wenzhen Zheng, Qiufeng Wang +10
cs.LGcs.AIarXiv:2503.04715v72025
Deep Text Classification Can be Fooled
Bin Liang, Hongcheng Li, Miaoqiang Su +3
cs.CRcs.LGarXiv:1704.08006v22017
Sparse Low-rank Adaptation of Pre-trained Language Models
Ning Ding, Xingtai Lv, Qiaosen Wang +4
cs.CLcs.AIcs.LGarXiv:2311.11696v12023
A Large Self-Annotated Corpus for Sarcasm
Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli
cs.CLcs.AIcs.LGarXiv:1704.05579v42017
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Xiaosen Zheng, Tianyu Pang, Chao Du +3
cs.CLcs.AIcs.CRarXiv:2406.01288v22024
Deep Layer Aggregation
Fisher Yu, Dequan Wang, Evan Shelhamer +1
cs.CVcs.LGarXiv:1707.06484v32017
LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agents
Chang Xiao, Brenda Z. Yang
cs.AIcs.HCcs.LGarXiv:2410.02829v12024
Interpretable Explanations of Black Boxes by Meaningful Perturbation
Ruth Fong, Andrea Vedaldi
cs.CVcs.AIcs.LGarXiv:1704.03296v42017
Learning to Generate Reviews and Discovering Sentiment
Alec Radford, Rafal Jozefowicz, Ilya Sutskever
cs.LGcs.CLcs.NEarXiv:1704.01444v22017
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
Enna Sachdeva, Nakul Agarwal, Suhas Chundi +5
cs.CVcs.AIcs.LGarXiv:2309.06597v22023
Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
Suncong Zheng, Feng Wang, Hongyun Bao +3
cs.CLcs.AIcs.LGarXiv:1706.05075v12017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li, R. Srikant
cs.LGstat.MLarXiv:1706.02690v52017
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network
Sharath Adavanne, Pasi Pertilä, Tuomas Virtanen
cs.SDcs.LGarXiv:1706.02291v12017
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly +2
cs.CLcs.LGstat.MLarXiv:1703.08581v22017
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual, Antonio Bonafonte, Joan Serrà
cs.LGcs.NEcs.SDarXiv:1703.09452v32017
Count-ception: Counting by Fully Convolutional Redundant Counting
Joseph Paul Cohen, Genevieve Boucher, Craig A. Glastonbury +2
cs.CVcs.LGstat.MLarXiv:1703.08710v22017
Birth of a Transformer: A Memory Viewpoint
Alberto Bietti, Vivien Cabannes, Diane Bouchacourt +2
stat.MLcs.CLcs.LGarXiv:2306.00802v22023
One Model To Learn Them All
Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer +4
cs.LGstat.MLarXiv:1706.05137v12017
AutoGLM: Autonomous Foundation Agents for GUIs
Xiao Liu, Bo Qin, Dongzhu Liang +27
cs.HCcs.AIcs.CLarXiv:2411.00820v12024
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman, Xi Chen +3
cs.AIcs.LGcs.NEarXiv:1611.02779v22016
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Wang Ling, Dani Yogatama, Chris Dyer +1
cs.AIcs.CLcs.LGarXiv:1705.04146v32017
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia, Eugenio Culurciello
cs.CVcs.LGarXiv:1707.03718v12017
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj, Paolo Gasti, Giuseppe Ateniese +1
cs.CRcs.LGstat.MLarXiv:1709.00440v32017
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu, Xu Huang, Xingshan Zeng +24
cs.LGcs.AIcs.CLarXiv:2409.00920v22024
From Copilot to Pilot: Towards AI Supported Software Development
Rohith Pudari, Neil A. Ernst
cs.SEcs.AIcs.LGarXiv:2303.04142v12023
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning
Dylan J. Foster, Adam Block, Dipendra Misra
cs.LGcs.AImath.STarXiv:2407.15007v22024
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto, Ruslan Salakhutdinov
cs.LGarXiv:1702.08360v12017
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma, Zhuang Dai, Zhengbing He +3
cs.LGstat.MLarXiv:1701.04245v42017
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
Shengyuan Hu, Yiwei Fu, Zhiwei Steven Wu +1
cs.LGarXiv:2406.13356v42024
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
Julius Richter, Yi-Chiao Wu, Steven Krenn +5
eess.AScs.LGcs.SDarXiv:2406.06185v22024
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Jiawei Jiang, Chengkai Han, Wayne Xin Zhao +1
cs.LGarXiv:2301.07945v32023
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu, Raymond A. Yeh, Xiaoou Tang +2
cs.CVcs.GRcs.LGarXiv:1702.02463v22017
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla, Lang Liu, John Thickstun +6
cs.LGcs.AIcs.CLarXiv:2212.14578v22022
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
Chrisantha Fernando, Dylan Banarse, Charles Blundell +5
cs.NEcs.LGarXiv:1701.08734v12017
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra, George Tucker, Jan Chorowski +2
cs.NEcs.LGarXiv:1701.06548v12017
A Perspective on Deep Imaging
Ge Wang
q-bio.QMcs.CVcs.LGarXiv:1609.04375v22016
Deep Learning for Sensor-based Activity Recognition: A Survey
Jindong Wang, Yiqiang Chen, Shuji Hao +2
cs.CVcs.AIcs.LGarXiv:1707.03502v22017
By-passing the Kohn-Sham equations with machine learning
Felix Brockherde, Leslie Vogt, Li Li +3
physics.comp-phcs.LGphysics.chem-pharXiv:1609.02815v32016
Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yixuan Li, Geoff Pleiss +3
cs.LGarXiv:1704.00109v12017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts +4
cs.LGcs.AIcs.SDarXiv:1704.01279v12017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu, Jia Deng
cs.LGstat.MLarXiv:1701.00299v32017
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton +11
cs.CLcs.LGcs.SDarXiv:1703.10135v22017
Clustering Algorithms: A Comparative Approach
Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova +4
cs.LGstat.MLarXiv:1612.08388v12016
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Ke Gong, Xiaodan Liang, Dongyu Zhang +2
cs.CVcs.AIcs.LGarXiv:1703.05446v22017
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, Richard S. Zemel
cs.LGstat.MLarXiv:1703.05175v22017
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee, Juhan Nam
cs.NEcs.LGcs.MMarXiv:1703.01793v22017
Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation
Lei Tai, Giuseppe Paolo, Ming Liu
cs.ROcs.AIcs.LGarXiv:1703.00420v42017
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat, Georgios Tzimiropoulos
cs.CVcs.LGstat.MLarXiv:1703.00862v22017
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho +1
cs.CVcs.AIcs.CLarXiv:2310.12128v22023
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
cs.LGarXiv:1607.00122v12016
In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil +72
cs.ARcs.LGcs.NEarXiv:1704.04760v12017
The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou +6
cs.CLcs.AIcs.LGarXiv:1606.06031v12016
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
cs.CRcs.LGstat.MLarXiv:1702.06280v22017
In-context Example Selection with Influences
Tai Nguyen, Eric Wong
cs.CLcs.LGarXiv:2302.11042v22023

Machine Learning

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

DSOD: Learning Deeply Supervised Object Detectors from Scratch

Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks

A Survey on LoRA of Large Language Models

Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining

Deep Text Classification Can be Fooled

Sparse Low-rank Adaptation of Pre-trained Language Models

A Large Self-Annotated Corpus for Sarcasm

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

Deep Layer Aggregation

LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agents

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Learning to Generate Reviews and Discovering Sentiment

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network

Sequence-to-Sequence Models Can Directly Translate Foreign Speech

SEGAN: Speech Enhancement Generative Adversarial Network

Count-ception: Counting by Fully Convolutional Redundant Counting

Birth of a Transformer: A Memory Viewpoint

One Model To Learn Them All

AutoGLM: Autonomous Foundation Agents for GUIs

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning

Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

PassGAN: A Deep Learning Approach for Password Guessing

ToolACE: Winning the Points of LLM Function Calling

From Copilot to Pilot: Towards AI Supported Software Development

Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Neural Map: Structured Memory for Deep Reinforcement Learning

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning

EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

Video Frame Synthesis using Deep Voxel Flow

MAUVE Scores for Generative Models: Theory and Practice

PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Regularizing Neural Networks by Penalizing Confident Output Distributions

A Perspective on Deep Imaging

Deep Learning for Sensor-based Activity Recognition: A Survey

By-passing the Kohn-Sham equations with machine learning

Snapshot Ensembles: Train 1, get M for free

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution

Tacotron: Towards End-to-End Speech Synthesis

Clustering Algorithms: A Comparative Approach

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing

Prototypical Networks for Few-shot Learning

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

Less-forgetting Learning in Deep Neural Networks

In-Datacenter Performance Analysis of a Tensor Processing Unit

The LAMBADA dataset: Word prediction requiring a broad discourse context

On the (Statistical) Detection of Adversarial Examples

In-context Example Selection with Influences