List your company
ResearchFormerly WizWand

Research

Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

TitleAuthorsYearSource
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot StudyChenguang Wang, Ruoxi Jia, Xin Liu2024arxiv 2403.10499
HIRI-ViT: Scaling Vision Transformer with High Resolution InputsTing Yao, Yehao Li, Yingwei Pan2024arxiv 2403.11999
From Pretext to Purpose: Batch-Adaptive Self-Supervised LearningJiansong Zhang, Linlin Shen, Peizhong Liu2023arxiv 2311.09974
Robust Feature Inference: A Test-time Defense Strategy using Spectral ProjectionsAnurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet2023arxiv 2307.11672
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and MambaYunxiang Fu, Chaoqi Chen, Yizhou Yu2024arxiv 2408.02615
Scalable Ensemble Diversification for OOD Generalization and DetectionAlexander Rubinstein, Luca Scimeca, Damien Teney2024arxiv 2409.16797
QKFormer: Hierarchical Spiking Transformer using Q-K AttentionChenlin Zhou, Han Zhang, Zhaokun Zhou2024arxiv 2403.16552
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?Lingao Xiao, Yang He2024arxiv 2410.15919
Generalized Kullback-Leibler Divergence LossJiequan Cui, Beier Zhu, Qingshan Xu2025arxiv 2503.08038
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and BiasAida Mohammadshahi, Yani Ioannou2024arxiv 2410.08407
DDT: Decoupled Diffusion TransformerShuai Wang, Zhi Tian, Weilin Huang2025arxiv 2504.05741
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive LearningSiladittya Manna, Umapada Pal, Saumik Bhattacharya2021arxiv 2111.12664
Randomness Helps Rigor: A Probabilistic Learning Rate Scheduler Bridging Theory and Deep Learning PracticeDahlia Devapriya, Thulasi Tholeti, Janani Suresh2024arxiv 2407.07613
Distributional Dataset Distillation with Subtask DecompositionTian Qin, Zhiwei Deng, David Alvarez-Melis2024arxiv 2403.00999
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-ClimbingEduard Hogea, Adrian Popescu, Darian Onchis2024arxiv 2403.07406
Robust width: A lightweight and certifiable adversarial defenseJonathan Peck, Bart Goossens2024arxiv 2405.15971
Autoregressive Model Beats Diffusion: Llama for Scalable Image GenerationPeize Sun, Yi Jiang, Shoufa Chen2024arxiv 2406.06525
Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual RecognitionsFei Du, Peng Yang, Qi Jia2023arxiv 2305.08661
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large ScaleZhiwei Hao, Jianyuan Guo, Kai Han2023arxiv 2305.15781
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution DetectionLuping Liu, Yi Ren, Xize Cheng2022arxiv 2211.11255