Noise Robustness

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3 papers in the last four weeks, down 40% on the four weeks before. 0.0% of all new papers.

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RIVET: Robust Idempotent Voice Attribute Editing
Jun 17, 2026Dareen Alharthi, Bhuvan Koduru, Rita Singh +1Audio Editing Speech Editing
Carnegie Mellon University, Pittsburgh, PA, USA
Test-Time Training for Robust Text-Guided Open-Vocabulary Object Counting
Jun 16, 2026Hao-Yuan Ma, Yuda Zou, Li Zhang +1VLM Robustness Image Corruption Robustness
School of Computer Science and Technology, Soochow University Suzhou, China · Wuhan University Wuhan, China
Audio-visual Contrastive Alignment for Diffusion-based Visual-conditioned Speech Enhancement
Jun 16, 2026Colombe Mboungou, Mostafa Sadeghi, Jean-Eudes Ayilo +1Speech Enhancement Audio-Visual Alignment
MULTISPEECH · Universit´e de Lorraine, CNRS, Inria, Loria, Nancy, France
Intelligibility of Speech in Noise: Investigating Contribution of Magnitude and Phase Spectra
Jun 15, 2026Bhanu Teja Nellore, Sudarsana Reddy Kadiri, Rohit Kumar +2Speech Processing Noise Robustness
Jio AICoE, Hyderabad, India · Signal Analysis and Interpretation Laboratory, University of Southern California, Los Angeles, USA · National Institute of Technology, Patna, India +2
Sum-of-Squares Degree Barriers for the Reweighted-Hinge Method in Robust Halfspace Learning: A Christoffel-Function Characterization
Jun 15, 2026Xiaoyu LiCorruption Robustness Noise Robustness
University of New South Wales
Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier
Jun 15, 2026S. A. K. Leeney, W. J. Handley, H. T. J. Bevins +1Neural Network Robustness Noisy-Label Learning
Astrophysics Group, Cavendish Laboratory University of Cambridge · Institute of Astronomy University of Cambridge
ALCL: An Adaptive Log-Correntropy Loss for Robust Learning under Non-Gaussian Noise
Jun 14, 2026Mainak Kundu, Ria Kanjilal, Ismail UysalImage Corruption Robustness Robust Loss Functions
Department of Electrical Engineering, University of South Florida, Tampa, FL 33620 USA · Department of Computer Engineering, California Polytechnic State University, San Luis Obispo, CA 93407 USA
Neural Variability Enhances Artificial Network Robustness
Jun 11, 2026Robin Preble, Praveen Venkatesh, Stefan Mihalas +1Distribution Shift Robustness Neural Network Robustness
Department of Computer Science, Western Washington University, Bellingham, WA 98225 · Allen Institute, Seattle, WA 98195
When Probing Accuracy Saturates, Fragility Resolves: A Complementary Metric for LLM Pre-Training Analysis
Jun 9, 2026Orion Reblitz-RichardsonLanguage Model Pretraining Noise Robustness
Distiller Labs.
Energy-Conserved Neural Pipelines: Attenuating Error Propagation in Modular Neural Networks via Physical Conservation Constraints
Jun 9, 2026David Young, Swan Yi HtetNeural Network Robustness Noise Robustness
ORION Robotics
Learning from almost nothing: How neural networks survive heavy input corruption
Jun 9, 2026Justin Tahmassebpur, Asadullah Bhuiyan, Hyejin Kim +1Neural Network Generalization Multilayer Perceptrons
Department of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA · Department of Physics, Cornell University, Ithaca, NY 14853, USA
Small Data, Big Noise: Adversarial Training for Robust Parameter-Efficient Fine-Tuning
Jun 9, 2026Eitan Cohen, Idan Simai, Uri ShahamAdversarial Training Neural Network Robustness
Bar-Ilan University · Ramat Gan, Israel
G-MaP-SE: Guided Speech Enhancement via GMM-Based Prior Matching
Jun 7, 2026Yike Zhu, Ziqian Wang, Zikai Liu +5Speech Enhancement Noise Robustness
Beyond WER: A Paired Acoustic Stress Test for Ambient Clinical Scribes
Jun 4, 2026Xiao-Hang Jiang, Han-Jie Guo, Ying-Si Liang +4ASR Evaluation Language Model Safety Evaluation
University of Science and Technology of China, China · iFLYTEK Co., Ltd., China
SB-RF: Schrödinger Bridge Rectified Flow for One-Step Robust Speech Enhancement
Jun 4, 2026Caixia Lu, Xueyang Lv, Penglong Hu +1Rectified Flow Schrödinger Bridges
Drift-Augmented Scoring: Text-Derived Noise Robustness for Zero-Shot Audio-Language Classification
Jun 3, 2026Tu Vo, Sheir Zaheer, Chan Y. ParkFew-Shot Audio Classification Audio Understanding
KC Machine Learning Lab
Representation Matters in Randomized Smoothing for Audio Classification
Jun 2, 2026Jong-Ik Park, Shreyas Chaudhari, José M. F. Moura +1Randomized Smoothing Keyword Spotting
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models
Jun 2, 2026Hashmat Shadab Malik, Muzammal Naseer, Salman KhanVLM Robustness Adversarial Robustness
Mohamed Bin Zayed University of AI, UAE · Khalifa University, UAE · Australian National University, Australia
Non-Learning Low-Light Stereo Vision
May 29, 2026Jason Wang, Lucas Nguyen, Hyunseung Eom +2Image Corruption Robustness Stereo Matching
Department of Computer Sciences, Purdue University · Elmore Family School of Electrical and Computer Engineering, Purdue University
Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption
May 28, 2026Santanu Das, Sagnik Chatterjee, Jatin BatraSingle-Index Models Adversarial Robustness
School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai, India.
Can Entry-Wise Clipping Give Spectral Control of Stochastic Gradients?
May 26, 2026Zitao Song, Cedar Site Bai, Zhe Zhang +2Gradient Clipping Heavy-Tailed Noise
Department of Computer Science, Purdue University, West Lafayette, IN, USA. · School of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
Capability and Robustness Cannot Both Be Free: An Information-Theoretic Bound for Vision-Language-Action Models
May 25, 2026Jianwei TaiNeural Network Robustness Adversarial Robustness
School of Internet, Anhui University
Mean-Shift PCA by Knockoff Mean
May 25, 2026Mengda Li, Zeng Li, Jianfeng YaoDistribution Shift Robustness Principal Component Analysis
School of Data Science, The Chinese University of Hong Kong, Shenzhen, China · Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China
Rethinking Noise-Robust Training for Frozen Vision Foundation Models: A Cross-Dataset Benchmark with a Case Study of Small-Loss Failure
May 21, 2026Zitong Li, Haoyu WangVision Foundation Model Adaptation Noisy-Label Learning
Department of Biostatistics and Health Informatics · King's College London
Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label
May 20, 2026Jingyang Mao, Ningkang Peng, Yanhui GuClassification Learning with Noisy Labels
Nanjing Normal University Nanjing, China
Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation
May 19, 2026Zhifei Xie, Kaiyu Pang, Haobin Zhang +4Automatic Speech Recognition Noise Robustness
1NTU · 3Shanghai AI Lab · 2NUS
A Practical Noise2Noise Denoising Pipeline for High-Throughput Raman Spectroscopy
May 18, 2026David Martin-Calle, Cesar Alvarez Llamas, Vincent Motto- Ros +3Denoising Autoencoders Convolutional Autoencoder
ILM,UCBL,CNRS · Universit´e Claude Bernard Lyon 1, CNRS, Institut Lumi`ere Mati`ere, F-69622 Villeurbanne, France · ILM,UCBL,CNRS,IUF +1
ArcGate: Adaptive Arctangent Gated Activation
May 14, 2026Avik Bhattacharya, Siddhant Dnyanesh Gole, Subhasis Chaudhuri +2Neural Network Activation Functions Noise Robustness
Microwave Remote Sensing Lab Center of Studies in Resources Engineering Indian Institute of Technology Bombay, India · Centre of Machine Intelligence and Data Science Indian Institute of Technology Bombay, India · Department of Electrical Engineering Indian Institute of Technology Bombay, India +1
Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
May 13, 2026Blaise Delattre, Hengyu Wu, Paul Caillon +2Multimodal Robustness Randomized Smoothing
Department of Computer Science, School of Computing, Institute of Science Tokyo, Tokyo, Japan · PSL University, Paris, France · College of Computing and Data Science, Nanyang Technological University, Singapore
Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
May 11, 2026Xu Guo, Runyu Peng, Jian Tong +4Language Model Pretraining Synthetic Data Pretraining
Shanghai AI Laboratory · Fudan University · Shanghai Innovation Institute

Jun 17, 2026, cs.SDJ/K move · Enter open · S save

RIVET: Robust Idempotent Voice Attribute Editing

Dareen Alharthi, Bhuvan Koduru, Rita Singh, Bhiksha Raj

Carnegie Mellon University, Pittsburgh, PA, USA

Audio Editing Speech Editing Noisy-Label Learning Noise Robustness

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Voice attribute editing models modify characteristics such as age and gender while preserving speaker identity. In large-scale speech datasets, however, attribute annotations are often noisy or inconsistent, which can cause conditional generative models to produce unstable edits. In this work, we show that idempotency provides an effective mechanism for improving robustness to noisy labels. An idempotent operator is one for which repeated application does not change the result, i.e., f(f(x)) = f(x). Enforcing this property acts as an implicit regularizer that reduces sensitivity to mislabeled examples. We introduce RIVET, a training framework that incorporates an idempotency objective to improve robustness to label noise. We evaluate RIVET under controlled label noise and on the GLOBE dataset with naturally noisy annotations. RIVET improves editing success and better preserves speaker identity than standard training, showing that idempotency improves robustness in voice editing models.

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