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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32,881 to 32,926 of 32,926

BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio, Jean-Pierre David
cs.LGcs.CVcs.NEarXiv:1511.00363v32015
Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck
Nathael Altman
eess.SPcs.LGarXiv:2608.14633v12026
Shortcut Learning in Deep Neural Networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis +4
cs.CVcs.AIcs.LGarXiv:2004.07780v52020
Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt +3
cs.AIcs.LGarXiv:1606.06565v22016
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman +2
cs.CVcs.LGeess.IVarXiv:2006.09661v12020
Let's Verify Step by Step
Hunter Lightman, Vineet Kosaraju, Yura Burda +7
cs.LGcs.AIcs.CLarXiv:2305.20050v12023
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani +3
cs.CVcs.GRcs.LGarXiv:2208.12242v22022
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
cs.NEcs.CVcs.LGarXiv:1610.02136v32016
The Mythos of Model Interpretability
Zachary C. Lipton
cs.LGcs.AIcs.CVarXiv:1606.03490v32016
The Impact of CutMix on Reliability and Robustness in Semantic Segmentation
Steven Landgraf, Markus Ulrich
cs.CVcs.AIcs.LGarXiv:2608.18715v12026
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai +3
cs.CLcs.AIcs.LGarXiv:2106.07447v12021
EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents
Weixian Xu, Shilong Liu, Mengdi Wang
cs.LGcs.AIarXiv:2606.11182v12026
StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data
Akshat Parmar, Vikranth Udandarao, Abhay Shakya +4
cs.CLcs.AIcs.LGarXiv:2608.18105v12026
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock, Jeff Donahue, Karen Simonyan
cs.LGstat.MLarXiv:1809.11096v22018
Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson
Tanay Chowdhury, Saeideh Shahrokh Esfahani
cs.AIcs.LGarXiv:2608.18531v12026
FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud
Dheeraj Mohandas Pai, Lu Xian
cs.AIcs.LGarXiv:2608.18136v12026
MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology
Nabil Ashab, Soumit Kumar Kundu, Saif Mahmud Parvez +3
eess.IVcs.CVcs.LGarXiv:2608.16959v12026
Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)
Kenneth Ge
cs.LGarXiv:2608.17034v12026
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Joao Carreira, Andrew Zisserman
cs.CVcs.LGarXiv:1705.07750v32017
Conditional Generative Adversarial Nets
Mehdi Mirza, Simon Osindero
cs.LGcs.AIcs.CVarXiv:1411.1784v12014
Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction
Veronika Spieker, Wenqi Huang, Cemre Ariyurek +5
eess.IVcs.CVcs.LGarXiv:2608.18055v22026
Early Cycle Charge Trajectory Generative Prediction and Full Life Cycle Health Management of Iron-Chromium Flow Batteries Based on FlowBD-E1
Suyang Zhuang, Zekun Jiang, Tianhang Zhou
cs.LGstat.MEarXiv:2608.14637v12026
Architecture-Dependent Causal Transfer of Activation States Across Large Language Models
Fernando Cardenas Piepereit
cs.CLcs.LGarXiv:2608.16347v12026
Duration Aware Scheduling for ASR Serving Under Workload Drift
Darshan Makwana, Yash Jogi, Harsh Kotta +1
cs.LGarXiv:2603.11273v12026
ARGUS: Attention-Guided Transformers for Scalable Person Identification Using Wi-Fi Telemetry
Nayan Sanjay Bhatia, Pranay Kocheta, Yuhan Li +1
cs.LGcs.AIcs.CVarXiv:2608.14670v12026
Distinguishing AI-Generated Music from Edited Audio as a Hard-Negative Robustness Task
Alexandru-Stefan Morosanu, Valerian Cecan, Stefan-Daniel Achirei +1
cs.SDcs.AIcs.LGarXiv:2608.14916v12026
6G Native AI and Channel Foundation Models
Shugong Xu, Jun Jiang, Yuan Gao
eess.SPcs.ITcs.LGarXiv:2608.14591v12026
MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Assessment Under Time Pressure
Sumit S. Shevtekar, Chandresh K. Maurya, Gourab Sil +1
cs.LGcs.AIcs.HCarXiv:2608.17823v12026
No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models
Jack Boylan, Chris Hokamp
cs.LGcs.AIarXiv:2608.17542v12026
The Role of Feedback Alignment in Self-Distillation
Semih Kara, Oğuzhan Ersoy
cs.AIcs.LGarXiv:2606.11173v12026
MARBLE: Multi-Aspect Reward Balance for Diffusion RL
Canyu Zhao, Hao Chen, Yunze Tong +3
cs.CVcs.LGarXiv:2605.06507v12026
Self-Routed Tensor Adapters for Parameter-Efficient Universal Visual Adaptation
Suraj Yadav
cs.CVcs.LGarXiv:2608.16384v12026
Whose Gold? Annotator-Pool Disagreement Is Large at the Item Level, and Hidden by Small Leaderboards
Anik Jha
cs.CLcs.LGarXiv:2608.15980v12026
AutoSR: Automatic Symbolic Regression by Searching Research States
Kejia Zhang, Youran Sun, Xinyu Ren +2
cs.SCcs.AIcs.LGarXiv:2608.16876v12026
BERTopic-Virality Prioritisation: A Scalable Framework for Thematic and Comparative Analysis of COVID-19 and Monkeypox Misinformation on Twitter
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
cs.CLcs.LGcs.SIarXiv:2608.15691v12026
Toto 2.0: Time Series Forecasting Enters the Scaling Era
Emaad Khwaja, Chris Lettieri, Gerald Woo +10
cs.LGcs.AIarXiv:2605.20119v22026
Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
Rohan Surana, Gagan Mundada, Xunyi Jiang +19
cs.LGarXiv:2605.02913v12026
Towards Automating Scientific Review with Google's Paper Assistant Tool
Rajesh Jayaram, Drew Tyler, David Woodruff +4
cs.LGcs.AIcs.CLarXiv:2606.28277v12026
ReFreeKV: Towards Threshold-Free KV Cache Compression
Xuanfan Ni, Liyan Xu, Chenyang Lyu +6
cs.CLcs.AIcs.LGarXiv:2502.16886v42025
GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
Kaiyuan Chen, Shuangyu Xie, Letian Fu +21
cs.ROcs.AIcs.CLarXiv:2607.05369v12026
When Does Muon Help Agentic Reinforcement Learning?
Kai Ruan, Jinghao Lin, Zihe Huang +4
cs.LGcs.AIarXiv:2607.16169v42026
You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model
Ziyang Luo, Zhongyao Chu, Xinjie He +4
cs.CLcs.LGarXiv:2608.14465v12026
A Vocabulary for Multi-Agent Automated Research Systems
Bardiya Akhbari
cs.AIcs.LGcs.MAarXiv:2607.22682v12026
An Exam for Active Observers
Jiarui Zhang, Muzi Tao, Shangshang Wang +3
cs.CVcs.AIcs.CLarXiv:2607.16165v12026
Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling Hypothesis
Aryan Luthra, Kshitij Jain, Siddharth Arya +2
cs.AIcs.CRcs.LGarXiv:2608.13608v12026
Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes
Keyvan Amiri Elyasi, Lukas Kirchdorfer, Heiner Stuckenschmidt
cs.LGcs.AIarXiv:2608.14367v12026

Machine Learning

BinaryConnect: Training Deep Neural Networks with binary weights during propagations

Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck

Shortcut Learning in Deep Neural Networks

Concrete Problems in AI Safety

Implicit Neural Representations with Periodic Activation Functions

Let's Verify Step by Step

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

The Mythos of Model Interpretability

The Impact of CutMix on Reliability and Robustness in Semantic Segmentation

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents

StocksTalk: A Voice-Enabled Conversational Agent for Structured Query Generation over Web Data

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson

FraudBench: Stress-Testing Policy-Grounded Banking Agents Against Adaptive Fraud

MagViT: Interpretable Multi-Magnification Transformers with Patient-Level Model Selection for Breast Histopathology

Agents unlock new capabilities through Switching LoRA Adapters as a Tool (SLAaaT)

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Conditional Generative Adversarial Nets

Primitive Representation Learning for Unsupervised Dynamic Contrast Enhanced MRI Reconstruction

Early Cycle Charge Trajectory Generative Prediction and Full Life Cycle Health Management of Iron-Chromium Flow Batteries Based on FlowBD-E1

Architecture-Dependent Causal Transfer of Activation States Across Large Language Models

Duration Aware Scheduling for ASR Serving Under Workload Drift

ARGUS: Attention-Guided Transformers for Scalable Person Identification Using Wi-Fi Telemetry

Distinguishing AI-Generated Music from Edited Audio as a Hard-Negative Robustness Task

6G Native AI and Channel Foundation Models

MotoSafety: Edge-AI with Learned Temporal Importance for Two-Wheeler Collision Risk Assessment Under Time Pressure

No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models

The Role of Feedback Alignment in Self-Distillation

MARBLE: Multi-Aspect Reward Balance for Diffusion RL

Self-Routed Tensor Adapters for Parameter-Efficient Universal Visual Adaptation

Whose Gold? Annotator-Pool Disagreement Is Large at the Item Level, and Hidden by Small Leaderboards

AutoSR: Automatic Symbolic Regression by Searching Research States

BERTopic-Virality Prioritisation: A Scalable Framework for Thematic and Comparative Analysis of COVID-19 and Monkeypox Misinformation on Twitter

Toto 2.0: Time Series Forecasting Enters the Scaling Era

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning

Towards Automating Scientific Review with Google's Paper Assistant Tool

ReFreeKV: Towards Threshold-Free KV Cache Compression

GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks

When Does Muon Help Agentic Reinforcement Learning?

You Only Pass Once: Answering and Abstaining Together in a Single Forward Pass of a Frozen Language Model

A Vocabulary for Multi-Agent Automated Research Systems

An Exam for Active Observers

Evaluating Agentic Learning Harness Capabilities Without Labels via the Scaling Hypothesis

Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes