:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chrysos, Grigorios G, Wu, Yongtao, Pascanu, Razvan, Torr, Philip, Cevher, Volkan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2504.13112
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Character-level Adversarial Attacks for Language Models
by: Rocamora, Elias Abad, et al.
Published: (2024)

Robust NAS under adversarial training: benchmark, theory, and beyond
by: Wu, Yongtao, et al.
Published: (2024)

Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)

Single-pass Detection of Jailbreaking Input in Large Language Models
by: Candogan, Leyla Naz, et al.
Published: (2025)

REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
by: Afzal, Arshia, et al.
Published: (2024)

Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks
by: Cheng, Yixin, et al.
Published: (2024)

Multilinear Operator Networks
by: Cheng, Yixin, et al.
Published: (2024)

Learning to Remove Cuts in Integer Linear Programming
by: Puigdemont, Pol, et al.
Published: (2024)

The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation
by: Morales-Brotons, Daniel, et al.
Published: (2024)

Generalization of Scaled Deep ResNets in the Mean-Field Regime
by: Chen, Yihang, et al.
Published: (2024)

Efficient local linearity regularization to overcome catastrophic overfitting
by: Rocamora, Elias Abad, et al.
Published: (2024)

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
by: Deschenaux, Justin, et al.
Published: (2024)

Meta-learning how to Share Credit among Macro-Actions
by: Hosu, Ionel-Alexandru, et al.
Published: (2025)

Activation-Free Backbones for Image Recognition: Polynomial Alternatives within MetaFormer-Style Vision Models
by: Wang, Jeffrey, et al.
Published: (2026)

Quantum-PEFT: Ultra parameter-efficient fine-tuning
by: Koike-Akino, Toshiaki, et al.
Published: (2025)

Deep Grokking: Would Deep Neural Networks Generalize Better?
by: Fan, Simin, et al.
Published: (2024)

LJ-Bench: Ontology-Based Benchmark for U.S. Crime
by: Tseng, Hung Yun, et al.
Published: (2026)

Lattice: Learning to Efficiently Compress the Memory
by: Karami, Mahdi, et al.
Published: (2025)

Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
by: Wu, Yongtao, et al.
Published: (2025)

IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
by: Viel, Stefano, et al.
Published: (2025)

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
by: Liu, Fanghui, et al.
Published: (2024)

SAMPa: Sharpness-aware Minimization Parallelized
by: Xie, Wanyun, et al.
Published: (2024)

MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training
by: Xie, Wanyun, et al.
Published: (2026)

Imitation Learning in Discounted Linear MDPs without exploration assumptions
by: Viano, Luca, et al.
Published: (2024)

NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
by: Li, Qinyu, et al.
Published: (2025)

Latent Space Representations of Neural Algorithmic Reasoners
by: Mirjanić, Vladimir V., et al.
Published: (2023)

Robustness in Both Domains: CLIP Needs a Robust Text Encoder
by: Rocamora, Elias Abad, et al.
Published: (2025)

Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
by: Xie, Wanyun, et al.
Published: (2025)

Efficient Large Language Model Inference with Neural Block Linearization
by: Erdogan, Mete, et al.
Published: (2025)

Stable Nonconvex-Nonconcave Training via Linear Interpolation
by: Pethick, Thomas, et al.
Published: (2023)

Revisiting Adam for Streaming Reinforcement Learning
by: Gogianu, Florin, et al.
Published: (2026)

Corrective Diffusion Language Models
by: Zhang, Shuibai, et al.
Published: (2025)

What Can Grokking Teach Us About Learning Under Nonstationarity?
by: Lyle, Clare, et al.
Published: (2025)

Normalization and effective learning rates in reinforcement learning
by: Lyle, Clare, et al.
Published: (2024)

MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)

Mitigating Diffusion Model Hallucinations with Dynamic Guidance
by: Triaridis, Kostas, et al.
Published: (2025)

How do language models learn facts? Dynamics, curricula and hallucinations
by: Zucchet, Nicolas, et al.
Published: (2025)

Multi-agent imitation learning with function approximation: Linear Markov games and beyond
by: Viano, Luca, et al.
Published: (2026)

Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
by: Kamoutsi, Angeliki, et al.
Published: (2024)