:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Kegreisz, Adrien
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.18258
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
by: Ashok, Arjun, et al.
Published: (2023)

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
by: Shi, Yubin, et al.
Published: (2024)

FERRET: Private Deep Learning Faster And Better Than DPSGD
by: Zagardo, David
Published: (2025)

Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks
by: Liu, Cong, et al.
Published: (2024)

We are not able to identify AI-generated images
by: Pavão, Adrien
Published: (2025)

ANO: A Principled Approach to Robust Policy Optimization
by: Zhang, Yiheng, et al.
Published: (2026)

Neural Laplace for learning Stochastic Differential Equations
by: Carrel, Adrien
Published: (2024)

HashAttention: Semantic Sparsity for Faster Inference
by: Desai, Aditya, et al.
Published: (2024)

Calibrated Dataset Condensation for Faster Hyperparameter Search
by: Ding, Mucong, et al.
Published: (2024)

On Faster Marginalization with Squared Circuits via Orthonormalization
by: Loconte, Lorenzo, et al.
Published: (2024)

Better World Models Can Lead to Better Post-Training Performance
by: Gupta, Prakhar, et al.
Published: (2025)

Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
by: Lagesse, Adrien, et al.
Published: (2025)

High-dimensional Learning with Noisy Labels
by: Firdoussi, Aymane El, et al.
Published: (2024)

Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis
by: Chen, Jiaqing, et al.
Published: (2026)

On Tuning Neural ODE for Stability, Consistency and Faster Convergence
by: Akhtar, Sheikh Waqas
Published: (2023)

Mashup Learning: Faster Finetuning by Remixing Past Checkpoints
by: Vaina, Sofia Maria Lo Cicero, et al.
Published: (2026)

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples
by: Vouitsis, Noël, et al.
Published: (2024)

Noisy PDE Training Requires Bigger PINNs
by: Andre-Sloan, Sebastien, et al.
Published: (2025)

Panther: Faster and Cheaper Computations with Randomized Numerical Linear Algebra
by: Seddik, Fahd, et al.
Published: (2026)

SPADE: Faster Drug Discovery by Learning from Sparse Data
by: Nandakumar, Rahul, et al.
Published: (2026)

FedLion: Faster Adaptive Federated Optimization with Fewer Communication
by: Tang, Zhiwei, et al.
Published: (2024)

Faster Convergence for Transformer Fine-tuning with Line Search Methods
by: Kenneweg, Philip, et al.
Published: (2024)

EDNet: Edge-Optimized Small Target Detection in UAV Imagery -- Faster Context Attention, Better Feature Fusion, and Hardware Acceleration
by: Song, Zhifan, et al.
Published: (2025)

There is a Singularity in the Loss Landscape
by: Lowell, Mark
Published: (2022)

Fractal Landscapes in Policy Optimization
by: Wang, Tao, et al.
Published: (2023)

On Symmetric Losses for Robust Policy Optimization with Noisy Preferences
by: Nishimori, Soichiro, et al.
Published: (2025)

Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)

Denoising-Aware Contrastive Learning for Noisy Time Series
by: Zhou, Shuang, et al.
Published: (2024)

Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
by: Yadav, Abhay
Published: (2026)

An Imperfect Verifier is Good Enough: Learning with Noisy Rewards
by: Plesner, Andreas, et al.
Published: (2026)

Learning Robust Reward Machines from Noisy Labels
by: Parac, Roko, et al.
Published: (2024)

A Complete Characterization of Learnability for Stochastic Noisy Bandits
by: Hanneke, Steve, et al.
Published: (2024)

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
by: Zong, Chen-Chen, et al.
Published: (2024)

CANDERE-COACH: Reinforcement Learning from Noisy Feedback
by: Li, Yuxuan, et al.
Published: (2024)

Smoothing DiLoCo with Primal Averaging for Faster Training of LLMs
by: Defazio, Aaron, et al.
Published: (2025)

Conda: Column-Normalized Adam for Training Large Language Models Faster
by: Wang, Junjie, et al.
Published: (2025)

Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing
by: Khan, Azal Ahmad, et al.
Published: (2026)

DriftXpress: Faster Drifting Models via Projected RKHS Fields
by: Falahati, Ali, et al.
Published: (2026)

Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon
by: Xu, Tianshuo, et al.
Published: (2024)

FedNoisy: Federated Noisy Label Learning Benchmark
by: Liang, Siqi, et al.
Published: (2023)