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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16,861 to 16,920 of 20,217

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
Raja Sunkara, Tie Luo
cs.CVcs.LGarXiv:2208.03641v12022
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso, Hannes Stärk, Bowen Jing +2
q-bio.BMcs.LGphysics.bio-pharXiv:2210.01776v22022
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
Yunhui Liu, Pengyu Qiu, Yu Xing +6
cs.LGarXiv:2602.08519v12026
Effective Reasoning Chains Reduce Intrinsic Dimensionality
Archiki Prasad, Mandar Joshi, Kenton Lee +2
cs.CLcs.AIcs.LGarXiv:2602.09276v22026
From Multimodal Observation to Interpretable Suggestions: Counterfactual Time-Expanded Relational Modeling of Surgical Teams
Vincenzo Marco De Luca, Antonio Longa, Giovanna Varni +1
cs.LGarXiv:2608.23254v12026
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta +1
cs.CVcs.LGcs.ROarXiv:2007.00643v22020
NeST: Neuron Selective Tuning for LLM Safety
Sasha Behrouzi, Lichao Wu, Mohamadreza Rostami +1
cs.CRcs.LGarXiv:2602.16835v22026
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Walke, Kevin Black, Abraham Lee +11
cs.ROcs.LGarXiv:2308.12952v32023
Reinforced Attention Learning
Bangzheng Li, Jianmo Ni, Chen Qu +5
cs.CLcs.CVcs.LGarXiv:2602.04884v22026
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
Levi McClenny, Ulisses Braga-Neto
cs.LGstat.MLarXiv:2009.04544v52020
MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE
Ruijie Zhu, Jiahao Lu, Wenbo Hu +4
cs.CVcs.AIcs.CGarXiv:2602.08961v22026
Towards Actionable Surgical Team Dynamics: from Teamwork to Counterfactual Annotations
Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini
cs.LGarXiv:2608.23344v12026
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami, Toshihiko Yamasaki +1
cs.CVcs.LGstat.MLarXiv:1803.11364v12018
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock, Theodore Lim, J. M. Ritchie +1
cs.LGarXiv:1708.05344v12017
Reasoning-Augmented Representations for Multimodal Retrieval
Jianrui Zhang, Anirudh Sundara Rajan, Brandon Han +3
cs.IRcs.AIcs.CVarXiv:2602.07125v12026
Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu, Shamim Nemati
cs.LGcs.AIarXiv:1908.08796v42019
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao, Yujing Wang, Juanyong Duan +8
cs.LGcs.AIarXiv:2103.07719v12021
Stemphonic: All-at-once Flexible Multi-stem Music Generation
Shih-Lun Wu, Ge Zhu, Juan-Pablo Caceres +2
cs.SDcs.LGcs.MMarXiv:2602.09891v12026
Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs
Luoyang Sun, Jiwen Jiang, Yifeng Ding +9
cs.LGcs.CLarXiv:2602.10377v12026
Structured Pruning of Deep Convolutional Neural Networks
Sajid Anwar, Kyuyeon Hwang, Wonyong Sung
cs.NEcs.LGstat.MLarXiv:1512.08571v12015
A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress
Saurabh Arora, Prashant Doshi
cs.LGstat.MLarXiv:1806.06877v32018
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu, Raymond A. Yeh, Xiaoou Tang +2
cs.CVcs.GRcs.LGarXiv:1702.02463v22017
Multi-Task Learning with Deep Neural Networks: A Survey
Michael Crawshaw
cs.LGcs.CVstat.MLarXiv:2009.09796v12020
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling
Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan +11
cs.CVcs.AIcs.LGarXiv:2602.12279v22026
The (Un)reliability of saliency methods
Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo +5
stat.MLcs.LGarXiv:1711.00867v12017
DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
Haoxiang Sun, Lizhen Xu, Bing Zhao +5
cs.LGcs.AIarXiv:2602.16742v12026
Human Pose Estimation with Iterative Error Feedback
Joao Carreira, Pulkit Agrawal, Katerina Fragkiadaki +1
cs.CVcs.LGcs.NEarXiv:1507.06550v32015
Weight Decay Improves Language Model Plasticity
Tessa Han, Sebastian Bordt, Hanlin Zhang +1
cs.LGcs.AIcs.CLarXiv:2602.11137v22026
Real-Time Flying Object Detection with YOLOv8
Dillon Reis, Jordan Kupec, Jacqueline Hong +1
cs.CVcs.LGarXiv:2305.09972v22023
ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces
Xin Xu, Tong Yu, Xiang Chen +3
cs.AIcs.CLcs.LGarXiv:2602.11683v12026
Variational Continual Learning
Cuong V. Nguyen, Yingzhen Li, Thang D. Bui +1
stat.MLcs.LGarXiv:1710.10628v32017
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre +1
cs.CLcs.AIcs.LGarXiv:1710.11041v22017
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu, Xin Li, Jing Yu Koh +7
cs.CVcs.LGarXiv:2110.04627v32021
MAEB: Massive Audio Embedding Benchmark
Adnan El Assadi, Isaac Chung, Chenghao Xiao +15
cs.SDcs.AIcs.CLarXiv:2602.16008v12026
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Yunfei Chu, Jin Xu, Xiaohuan Zhou +5
eess.AScs.CLcs.LGarXiv:2311.07919v22023
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
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy +1
cs.LGcs.NEstat.MLarXiv:1912.05671v42019
Sink-Aware Pruning for Diffusion Language Models
Aidar Myrzakhan, Tianyi Li, Bowei Guo +2
cs.CLcs.AIcs.LGarXiv:2602.17664v12026
Reinforcement Learning for Combinatorial Optimization: A Survey
Nina Mazyavkina, Sergey Sviridov, Sergei Ivanov +1
cs.LGmath.COmath.OCarXiv:2003.03600v32020
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
cs.CLcs.LGarXiv:1711.02173v22017
Beyond the Harness: End-to-End Optimization of Context Artifacts for Enterprise Text-to-SQL
Kate Gwimm, Carson Eisenach
cs.AIcs.LGarXiv:2608.22830v12026
code2seq: Generating Sequences from Structured Representations of Code
Uri Alon, Shaked Brody, Omer Levy +1
cs.LGcs.PLstat.MLarXiv:1808.01400v62018
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao, Daniel Huang, Quentin Xu +3
cs.LGcs.AIcs.CLarXiv:2308.10144v32023
On the "Induction Bias" in Sequence Models
M. Reza Ebrahimi, Michaël Defferrard, Sunny Panchal +1
cs.LGcs.CLarXiv:2602.18333v22026
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin, Chuanbiao Song, Kun He +2
cs.LGcs.CRstat.MLarXiv:1908.06281v52019
LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models
Chenxing Wei, Jiazhen Kang, Hong Wang +8
cs.LGcs.AIarXiv:2603.01563v12026
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer, Miguel Ballesteros, Wang Ling +2
cs.CLcs.LGcs.NEarXiv:1505.08075v12015
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng +2
cs.LGcs.AIstat.MLarXiv:1705.08584v32017
Test-Time Adaptation for ECG Classification via SQI-Gated Self-Training and Beat-Rhythm Consistency
Wenhan Jiang, Zhipeng Deng, Jiale Zhou +3
cs.LGarXiv:2608.23347v12026
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
SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
Yasaman Haghighi, Alexandre Alahi
cs.CVcs.LGarXiv:2602.24208v12026
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Jian Tang, Meng Qu, Qiaozhu Mei
cs.CLcs.LGcs.NEarXiv:1508.00200v12015
A Brief Review of Domain Adaptation
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed +1
cs.LGcs.CVarXiv:2010.03978v12020
Agentic Critical Training
Weize Liu, Minghui Liu, Sy-Tuyen Ho +3
cs.AIcs.CLcs.LGarXiv:2603.08706v12026
Consistency of the group Lasso and multiple kernel learning
Francis Bach
cs.LGarXiv:0707.3390v22007
MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters
ChengAo Shen, Wenchao Yu, Fangyu Wu +6
cs.LGcs.AIarXiv:2608.23473v12026
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning +15
cs.LGcs.AIstat.MLarXiv:1807.01281v12018
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
Ziwen Xu, Kewei Xu, Haoming Xu +8
cs.CLcs.AIcs.HCarXiv:2603.02578v22026
Random Search and Reproducibility for Neural Architecture Search
Liam Li, Ameet Talwalkar
cs.LGstat.MLarXiv:1902.07638v32019
TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
Yinuo Wang, Mining Tan, Wenxiang Jiao +5
cs.AIcs.CLcs.LGarXiv:2601.04698v12026

Machine Learning

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering

Effective Reasoning Chains Reduce Intrinsic Dimensionality

From Multimodal Observation to Interpretable Suggestions: Counterfactual Time-Expanded Relational Modeling of Surgical Teams

Object Goal Navigation using Goal-Oriented Semantic Exploration

NeST: Neuron Selective Tuning for LLM Safety

BridgeData V2: A Dataset for Robot Learning at Scale

Reinforced Attention Learning

Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

MotionCrafter: Dense Geometry and Motion Reconstruction with a 4D VAE

Towards Actionable Surgical Team Dynamics: from Teamwork to Counterfactual Annotations

Joint Optimization Framework for Learning with Noisy Labels

SMASH: One-Shot Model Architecture Search through HyperNetworks

Reasoning-Augmented Representations for Multimodal Retrieval

Reinforcement Learning in Healthcare: A Survey

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Stemphonic: All-at-once Flexible Multi-stem Music Generation

Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs

Structured Pruning of Deep Convolutional Neural Networks

A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress

Video Frame Synthesis using Deep Voxel Flow

Multi-Task Learning with Deep Neural Networks: A Survey

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling

The (Un)reliability of saliency methods

DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning

Human Pose Estimation with Iterative Error Feedback

Weight Decay Improves Language Model Plasticity

Real-Time Flying Object Detection with YOLOv8

ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces

Variational Continual Learning

Unsupervised Neural Machine Translation

Vector-quantized Image Modeling with Improved VQGAN

MAEB: Massive Audio Embedding Benchmark

Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

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

Linear Mode Connectivity and the Lottery Ticket Hypothesis

Sink-Aware Pruning for Diffusion Language Models

Reinforcement Learning for Combinatorial Optimization: A Survey

Synthetic and Natural Noise Both Break Neural Machine Translation

Beyond the Harness: End-to-End Optimization of Context Artifacts for Enterprise Text-to-SQL

code2seq: Generating Sequences from Structured Representations of Code

ExpeL: LLM Agents Are Experiential Learners

On the "Induction Bias" in Sequence Models

Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

MMD GAN: Towards Deeper Understanding of Moment Matching Network

Test-Time Adaptation for ECG Classification via SQI-Gated Self-Training and Beat-Rhythm Consistency

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

SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

A Brief Review of Domain Adaptation

Agentic Critical Training

Consistency of the group Lasso and multiple kernel learning

MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters

Human-level performance in first-person multiplayer games with population-based deep reinforcement learning

How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities

Random Search and Reproducibility for Neural Architecture Search

TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning