Cover Image

Efficient Lifelong Model Evaluation in an Era of Rapid Progress

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Prabhu, Ameya, Udandarao, Vishaal, Torr, Philip, Bethge, Matthias, Bibi, Adel, Albanie, Samuel
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
by: Udandarao, Vishaal, et al.
Published: (2024)

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)

How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)

Solving Spatial Supersensing Without Spatial Supersensing
by: Udandarao, Vishaal, et al.
Published: (2025)

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
by: Hochlehnert, Andreas, et al.
Published: (2025)

A Practitioner's Guide to Continual Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)

A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks
by: Udandarao, Vishaal, et al.
Published: (2025)

Active Data Curation Effectively Distills Large-Scale Multimodal Models
by: Udandarao, Vishaal, et al.
Published: (2024)

Are We Done with Object-Centric Learning?
by: Rubinstein, Alexander, et al.
Published: (2025)

Concept-Aware Batch Sampling Improves Language-Image Pretraining
by: Ghosh, Adhiraj, et al.
Published: (2025)

Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation
by: Eiras, Francisco, et al.
Published: (2023)

Random Representations Outperform Online Continually Learned Representations
by: Prabhu, Ameya, et al.
Published: (2024)

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
by: Zhang, Wenxuan, et al.
Published: (2024)

kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies
by: Gui, Zhongrui, et al.
Published: (2024)

Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)

On Pretraining Data Diversity for Self-Supervised Learning
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2024)

SimCS: Simulation for Domain Incremental Online Continual Segmentation
by: Alfarra, Motasem, et al.
Published: (2022)

Modeling Saliency Dataset Bias
by: Kümmerer, Matthias, et al.
Published: (2025)

RDumb: A simple approach that questions our progress in continual test-time adaptation
by: Press, Ori, et al.
Published: (2023)

Label Delay in Online Continual Learning
by: Csaba, Botos, et al.
Published: (2023)

Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
by: Thede, Lukas, et al.
Published: (2024)

VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models
by: Han, Junlin, et al.
Published: (2024)

Personalizing Text-to-Image Generation to Individual Taste
by: Maerten, Anne-Sofie, et al.
Published: (2026)

Improving Adversarial Transferability via Model Alignment
by: Ma, Avery, et al.
Published: (2023)

VGGSounder: Audio-Visual Evaluations for Foundation Models
by: Zverev, Daniil, et al.
Published: (2025)

Towards Interpreting Visual Information Processing in Vision-Language Models
by: Neo, Clement, et al.
Published: (2024)

CiteME: Can Language Models Accurately Cite Scientific Claims?
by: Press, Ori, et al.
Published: (2024)

How Visual Representations Map to Language Feature Space in Multimodal LLMs
by: Venhoff, Constantin, et al.
Published: (2025)

Fine-tuning can cripple your foundation model; preserving features may be the solution
by: Mukhoti, Jishnu, et al.
Published: (2023)

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
by: Dziadzio, Sebastian, et al.
Published: (2023)

Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
by: Mayilvahanan, Prasanna, et al.
Published: (2023)

Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis
by: M, Vaikunth, et al.
Published: (2024)

Minimalist Concept Erasure in Generative Models
by: Zhang, Yang, et al.
Published: (2025)

Lifelong Learning of Video Diffusion Models From a Single Video Stream
by: Yoo, Jason, et al.
Published: (2024)

SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
by: Reza, Md Kaykobad, et al.
Published: (2026)

Delta-Influence: Unlearning Poisons via Influence Functions
by: Li, Wenjie, et al.
Published: (2024)

EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging
by: Tagscherer, Jan, et al.
Published: (2026)

Towards Lifelong Few-Shot Customization of Text-to-Image Diffusion
by: Song, Nan, et al.
Published: (2024)

Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
by: Wang, Jianyu, et al.
Published: (2025)